IEEE Transactions on Artificial Intelligence, Volume 7, Issue 3, March 2026

1) Adaptive Hierarchical Graph Cut for Multi-Granularity Out-of-Distribution Detection

Author(s): X. Fang, A. Easwaran, B. Genest, P. N. Suganthan

Pages: 1213 - 1222

2) On Expressivity of Height in Neural Networks

Author(s): F. -L. Fan, Z. -Y. Li, H. Xiong, T. Zeng

Pages: 1223 - 1237

3) Event-Driven Implementation of a Physical Reservoir Computing Framework for Superficial EMG-Based Gesture Recognition

Author(s): Y. Ding, E. Donati, H. Li, H. Heidari

Pages: 1238 - 1250

4) DDConv: Dynamic Dilated Convolution

Author(s): H. Hu, C. Yu, Q. Zhou, Q. Guan, T. Zhou

Pages: 1251 - 1260

5) Histogram Layers for Neural “Engineered” Features

Author(s): J. Peeples, S. Al Kharsa, L. Saleh, A. Zare

Pages: 1261 - 1272

6) Teleportation: Defense Against Stealing Attacks of Data-Driven Healthcare APIs

Author(s): T. Duan, Z. Wang, L. Shen, S. Luan, F. Li, G. Doretto, D. A. Adjeroh, S. Niu, J. Li, C. Tao

Pages: 1273 - 1289

7) Attention-Based Traffic Flow Forecasting Model as a Service of Intelligent Transportation System

Author(s): N. Bansal, R. S. Bali

Pages: 1290 - 1300

8) ConvRoBERTa: Detecting Fake Reviews by Fusing Sequential and Weighted Nonsequential Features

Author(s): A. Mewada, R. K. Dewang

Pages: 1301 - 1314

9) Universal Domain Alignment Framework for Classification and Regression Tasks

Author(s): X. Wang, J. Yang, Y. Gao

Pages: 1315 - 1326

10) A Local 2-Order Mutual Information Metric Approach for Service Community Detection in Complex Service Networks

Author(s): K. Zhang, Q. Gao, J. Lü, M. Ogorzałek, Y. Deng

Pages: 1327 - 1340

11) ILVMamba: Illumination-Aware Lightweight Visual Mamba Framework for Efficient High-Resolution Image Enhancement

Author(s): M. Liu, J. Xu, Y. Cui, X. Hu, L. Strand, H. Yin, A. C. Knoll

Pages: 1341 - 1354

12) Prompt-Aware Adapter: Learning Adaptive Visual Tokens for Multimodal Large Language Models

Author(s): Y. Zhang, H. Fan, W. Ji, Y. Wong, R. Zimmermann, Y. Yang

Pages: 1355 - 1364

13) Topic-Aware Multi-heterogeneous Graph Neural Network for Predicting the Next Participant in Information Cascades

Author(s): Y. Zhang, Z. Wang, G. Wen, J. Guan, S. Zhou, W. Li, Z. Cao

Pages: 1365 - 1378

14) Direct Learning of Neuronal Firing Representations for Long-Term Motor Intent Predictions

Author(s): L. Meng, X. Hu

Pages: 1379 - 1389

15) PipeMamba: State Space Model for Efficient Video-Based Sewer Defect Classification

Author(s): C. Zhao, C. Hu, H. Shao, J. Liu

Pages: 1390 - 1403

16) Optimizing Successive Over-Relaxation Q-Learning With Deterministic Perturbation Gradient Search

Author(s): L. Mandal, S. Bhatnagar

Pages: 1404 - 1417

17) Feature Transformation for Fast and Efficient Learning in Near-Field Source Localization

Author(s): P. Dwivedi, G. Routray, R. M. Hegde

Pages: 1418 - 1429

18) Stop Rumors Fast: A Multiobjective Blocking Approach With Deep Reinforcement Learning in Social Networks

Author(s): Z. Tang, Q. He, R. Jiang, Z. Zhang, H. Fang, X. Wang, L. Ma

Pages: 1430 - 1442

19) Diffusion-Assisted Distillation for Self-Supervised Graph Representation Learning With MLPs

Author(s): S. J. Ahn, M. -H. Kim

Pages: 1443 - 1454

20) Community-Structure Enhanced Brain Graph Mining

Author(s): S. Luo, X. Luo, J. Du, J. Wu, J. Yang

Pages: 1455 - 1465

21) Intracluster Contraction for Pedestrian Anomaly Detection Under One-Class Classification Setting

Author(s): X. Wang, X. Wang, H. Bai, E. G. Lim, J. Xiao

Pages: 1466 - 1476

22) Enhancing Deep Boosting Algorithm Performance for Panic Disorder Detection Through Biometric and Spatio-Temporal Data Integration

Author(s): C. I. -O. Gabriel, R. Kumar, K. Prasad

Pages: 1477 - 1486

23) MFENet: Multiinformation Feature Enhancement Network for Vehicle Reidentification

Author(s): Z. Li, Y. Deng, K. Wang, J. Huang, Z. Tang, W. Ding

Pages: 1487 - 1499

24) P-Mix: A Data Augmentation Method for Contrastive Learning Based Human Activity Recognition

Author(s): Y. Chen, Q. Xie, W. Cui, L. Chen, H. H. Song, T. Zhu

Pages: 1500 - 1511

25) Adaptive Fuzzy Distributed Optimal Fault Tolerant Control of Nonlinear Multi-Agent Systems Under Weight-Unbalanced Directed Graphs

Author(s): M. Cui, Y. Zuo, S. Tong

Pages: 1512 - 1521

26) A Novel Ensemble Method Based on Support Vector Dynamic Learning Neural Network for Breast Cancer Diagnosis

Author(s): Z. Zhang, Y. Ding, J. Zhang

Pages: 1522 - 1532

27) MSAF: Multimodal Sentiment Detection via Multiscale Adaptive Fusion

Author(s): J. Guan, Y. Shu, W. Liu, W. Li, S. Zhou, Y. Zhang

Pages: 1533 - 1545

28) Annealing Genetic Slicing Adversarial Networks Based Feedback for Imbalanced Visual Classification

Author(s): Y. Zhao, Z. Gao, J. Hao, Y. Wang, H. Zhang

Pages: 1546 - 1561

29) Steganography in Large Language Models

Author(s): X. Li, Z. Wang, X. Zhang

Pages: 1562 - 1573

30) Certified Local Transferability for Evaluating Adversarial Attacks

Author(s): M. Chen, J. Li, L. -I. Wu, G. Li

Pages: 1574 - 1583

31) Correlation-Guided Information Deep Fusion for Multimodal Recommendation

Author(s): G. -F. Ma, X. -H. Yang, P. Jiang

Pages: 1584 - 1595

32) Robust Unknown Object Detection in Dynamic Environments Through Dual-Granularity Reconstruction Error Modeling

Author(s): L. Ye, Y. Huang, R. Luo

Pages: 1596 - 1609

33) NeuroAMP: A Novel End-to-End General Purpose Deep Neural Amplifier for Personalized Hearing Aids

Author(s): S. Ahmed, R. E. Zezario, H. -G. Yuan, A. Hussain, H. -M. Wang, W. -H. Chung, Y. Tsao

Pages: 1610 - 1625

34) Online Safety Analysis for LLMs: A Benchmark, an Assessment, and a Path Forward

Author(s): X. Xie, J. Song, Z. Zhou, Y. Huang, D. Song, L. Ma

Pages: 1626 - 1641

35) Watermarking Language Models Through Language Models

Author(s): A. Dasgupta, A. A. Tanvir, X. Zhong

Pages: 1642 - 1651

36) FedImp: Enhancing Federated Learning Convergence With Impurity-Based Weighting

Author(s): H. A. Tran, C. Ta, T. X. Tran

Pages: 1652 - 1665

37) ARD-LoRA: Dynamic Rank Allocation for Parameter-Efficient Fine-Tuning of Foundation Models With Heterogeneous Adaptation Needs

Author(s): H. U. K. Shinwari, M. Usama

Pages: 1666 - 1676

38) A Positive-Unlabeled Learning Approach With Self-Correcting Regularized Risk

Author(s): S. Saha, A. Hassan, J. H. Paik

Pages: 1677 - 1689

39) Let Invariant Learning Inspire Neighbor-Shift Generalization on Graphs

Author(s): J. Li, J. Gao, B. Gu, Y. Kong

Pages: 1690 - 1701

40) Beyond Accurate Distillation: Calibrated Knowledge Distillation for Reliable Predictions

Author(s): I. Mishra, V. K. Sethu, D. Mishra

Pages: 1702 - 1714

41) Dual Thinking and Logical Processing in Human Vision and Multimodal Large Language Models

Author(s): K. Dayanandan, N. Kumar, A. Sinha, B. Lall

Pages: 1715 - 1729

42) Wasserstein Distance-Based Multisource Heterogeneous Graph Adaptation for Cross-Network Node Classification

Author(s): H. Yang, J. Lin, H. He, W. Zhang, L. Suya

Pages: 1730 - 1744

43) CIBLS-PLS: A Class-Incremental Broad Learning System With Pseudolabel-Guided Stacked Structure

Author(s): X. Liu, Z. Shi, S. Zhang, L. Chen, W. Ding, X. Zhong, Z. Wu, C. L. P. Chen

Pages: 1745 - 1760

44) Context-Guided Multiscale Attention for Real-Time Semantic Segmentation of Road Scene

Author(s): S. Mazhar, N. Atif, M. K. Bhuyan, S. R. Ahamed

Pages: 1761 - 1775

45) Multirate Distributed Receding Horizon Reinforcement Learning for Optimal UAV–UGV Formation Control

Author(s): X. Zhang, C. Li, R. Zhang, Q. Xiong, W. Jiang, X. Xu

Pages: 1776 - 1791

46) Distributed Reinforcement Learning Optimal Cluster Consensus Control for Takagi–Sugeno Fuzzy Multiagent Systems

Author(s): H. Li, J. Ning, S. Tong

Pages: 1792 - 1802

47) FCA-HLP: Multilayer Feature Cross-Activation Network With High- and Low-Level Prototypes for Few-Shot Segmentation

Author(s): J. Li, Y. Wei, Z. Gao, Y. Wang

Pages: 1803 - 1815

Thursday, March 19, 2026

IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 3, March 2026

1) Noise-Tolerant CIM-DNNs Explained

Author(s): F. -H. Meng, E. Yeu-Jer Lee, Y. Wu, Z. Wang, W. D. Lu

Pages: 1005 - 1017

2) PromptVAD: Abnormal Prompt via Vision-Language Model

Author(s): S. Li, F. Liu, L. Jiao, Z. Hao, J. Wang, L. Sun, L. Li, X. Liu, P. Chen

Pages: 1018 - 1032

3) Multimodality Image Registration With Modality Distillation

Author(s): X. Zhou, J. Zhao, L. Chen, G. Vivone, Y. Liu, J. Nie, H. Liu

Pages: 1033 - 1047

4) Tensor Multi-Subspace Representation for Remote Sensing Image Mixed Noise Removal

Author(s): J. -H. Yang, H. -C. Li, M. Ding, X. -L. Zhao, W. -Y. Hu

Pages: 1048 - 1062

5) FIESTA: Fourier-Based Semantic Augmentation With Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation

Author(s): K. Oh, E. Jeon, D. -W. Heo, Y. Shin, H. -I. Suk

Pages: 1063 - 1077

6) Progressive Feedforward Collapse of ResNet Training

Author(s): S. Wang, K. Gai, S. Zhang

Pages: 1078 - 1091

7) Treasure Hunting: Embodied Contrastive Learning-Enhanced Coarse-to-Fine Object Seeking With Explorer and Discriminator Cooperation

Author(s): B. Chen, J. Kang, H. Yang, P. Zhong, R. Fan, J. Wang

Pages: 1092 - 1106

8) SAFT: Real-Time Tracking and Mapping With Self-Supervised Robust Stereo Matching for Underwater Vehicles

Author(s): Y. Cao, X. Hui, X. Bai, Y. Wang, S. Wang, M. Tan

Pages: 1107 - 1118

9) Multimodal Knowledge Graph Completion by Cross-Modal Interaction With Similarity Enhancing and Difference Embracing

Author(s): L. Hao, Y. Hu, T. Bie, H. Jiang, J. Gao, Y. Sun, B. Yin

Pages: 1119 - 1133

10) Be Reliable: An Interpretable Attribute-Oriented Representation Learning Framework

Author(s): Z. Fang, S. Du, Y. Zou, Y. Tan, N. Song, S. Wang

Pages: 1134 - 1148

11) Generalizable Multistage Assembly via One-Shot Category-Level Demonstration

Author(s): Y. Ren, Y. Cong, R. Chen, W. Cong, G. Sun

Pages: 1149 - 1162

12) PGFormer: A Prototype-Graph Transformer for Incomplete Multiview Clustering

Author(s): Y. Du, Y. Wang, Z. Wang, R. Ning, L. Li

Pages: 1163 - 1175

13) Multiscale Spatiotemporal Graph Convolutional Networks With Dynamic Delay Awareness for Traffic Forecasting

Author(s): G. Zhu, X. Zhang, Y. Niu, S. Du

Pages: 1176 - 1190

14) A Transfer Learning SSVEP Decoding Algorithm Calibrated With Single-Trial Data

Author(s): J. Jin, K. Qin, B. Z. Allison, S. Li, Y. Zhang, X. Wang, A. Cichocki

Pages: 1191 - 1205

15) Multimodal Cross-City Semantic Segmentation Based on Similarity-Inspired Fusion and Invertible Transformation Learning Network

Author(s): L. Dong, W. Jiang, Z. Xu, J. Geng

Pages: 1206 - 1220

16) HomLLM: Exploiting Semantic Homology Relationship for Fine-Grained Bird Image Classification via Large Language Models

Author(s): H. Liu, Y. Song, T. Liu, H. Zheng, L. Chen, Z. Zhang, Y. -F. Li

Pages: 1221 - 1235

17) MDSF-YOLO: Advancing Object Detection With a Multiscale Dilated Sequence Fusion Network

Author(s): Y. Sun, C. Zhang, X. Li, X. Jing, H. Kong, Q. -G. Wang

Pages: 1236 - 1247

18) Deep Reinforcement Learning for Online Reconfiguration of Active Distribution Network

Author(s): G. Hao, Y. Li, Y. Li, Y. Luo, M. Shahidehpour, Z. Zeng

Pages: 1248 - 1262

19) Single-Domain Generalization via Path Flatness-Aware Optimization of Loss Landscapes

Author(s): Z. Wang, Y. Wang, Y. Feng, J. Du, J. Tianyi Zhou, R. S. M. Goh, Y. Liu, L. Zhen

Pages: 1263 - 1276

20) Trend and Order Features for Semi-Supervised Time-Series Classification via Multitask Learning

Author(s): R. Chen, X. Yan, G. Xiao, Y. Hou, S. Zhou

Pages: 1277 - 1289

21) Semi-Supervised Breast Lesion Segmentation Using Confidence-Ranked Features and Bi-Level Prototypes

Author(s): S. Jiang, H. Wu, Y. Zhou, J. Chen, J. Qin

Pages: 1290 - 1301

22) Video to Video Generative Adversarial Network for Few-Shot Learning Based on Policy Gradient

Author(s): Y. Ma, D. Klabjan, J. Utke

Pages: 1302 - 1316

23) Large-Scale Multiview Clustering via Joint Learning of Anchor Representation and Multigraph Alignment

Author(s): R. Shang, J. Liu, X. Wang, J. Zhong, W. Zhang, S. Xu

Pages: 1317 - 1331

24) FGPLFA: Fine-Grained Pseudo-Labeling and Feature Alignment for Source-Free Unsupervised Domain Adaptation

Author(s): Z. Wen, Q. Li, Y. Wang, H. Shao, G. Sun

Pages: 1332 - 1346

25) Toward Reliable Offline Reinforcement Learning via Lyapunov Uncertainty Control

Author(s): K. Jiang, Y. Li, X. Tan

Pages: 1347 - 1361

26) Inhibiting Error Exacerbation in Offline Reinforcement Learning With Data Sparsity

Author(s): F. Zhang, M. Zhang, W. Chen, S. Wang, X. Zhang, J. Li, Y. Yang

Pages: 1362 - 1376

27) IML-Spikeformer: Input-Aware Multilevel Spiking Transformer for Speech Processing

Author(s): Z. Song, S. Zhang, Y. Chou, J. Wu, H. Li

Pages: 1377 - 1389

28) Boosting Few-Shot Hyperspectral Image Classification Through Dynamic Fusion and Hierarchical Enhancement

Author(s): Y. Guo, B. Fan, Y. Dai, Y. Feng, M. He

Pages: 1390 - 1404

29) CRL-MM: Context-Aware Relational Learning and Multidimensional Matching for Few-Shot Knowledge Graph Completion

Author(s): W. Jiang, F. Wu, F. Zhang, Q. Chen, Z. Zhao, S. Guo

Pages: 1405 - 1419

30) Multigranularity Deep Graph Convolutional Neural Network Node Clustering Leveraging Spatial Information

Author(s): B. Yu, H. Yang

Pages: 1420 - 1434

31) Generative Fuzzy System for Sequence-to-Sequence Learning via Rule-Based Inference

Author(s): H. Yang, Z. Deng, W. Zhang, Z. Zhao, G. Wang, K. -S. Choi

Pages: 1435 - 1448

32) PID: A Parameter-Efficient Isolation Domain-Incremental Learning Framework for Signal Modulation Classification

Author(s): G. Wang, Z. Liu, X. Zhang, Y. Chen, Y. Zhang, J. Zhu, L. Jiao

Pages: 1449 - 1462

33) FedMKD: Hybrid Feature Guided Multilayer Fusion Knowledge Distillation in Heterogeneous Federated Learning

Author(s): P. Han, H. Xiao, S. Zheng, Y. Li, G. Qi, Z. Zhu

Pages: 1463 - 1476

34) Enhancing the Policy Generalization on OOD Tasks via Latent Variable Distribution Enhancement Sampler

Author(s): S. Li, J. Lin, X. Yang, H. Zhang, P. Zhao

Pages: 1477 - 1491

35) Contrastive-Driven Diversity and Consistency Exploration in Tensorized Multiview Subspace Clustering

Author(s): X. Guo, G. -F. Lu

Pages: 1492 - 1504

Wednesday, March 18, 2026

IEEE Transactions on Fuzzy Systems, Volume 34, Issue 3, March 2026

1) Hierarchical Fuzzy Learning With Virtual Tracking Targets for Optimal Tracking Control in Strict Feedback Systems

Author(s): Y. Yan, H. Zhang

Pages: 693 - 704

2) Low-Rank Matrix Factorization Induced Adaptive Divergent Graph Learning for Fuzzy Clustering

Author(s): L. Ma, N. Zhou, Y. Du, W. Wang, K. Shi, W. Pedrycz

Pages: 705 - 718

3) On Complex-Valued Zeroing Neural Networks Driven by Fuzzy Logic for QP Problems With Applications

Author(s): Q. Zuo, H. Fan, L. Xiao, P. Tan

Pages: 719 - 731

4) TG-FCM: A Prediction Model of Transformer and GRU Fusion Based on Improved Fuzzy C-Mean

Author(s): R. -T. Zhang, H. -L. Yang, W. Ding

Pages: 732 - 746

5) Multiviewpoint Induced Kernel Fuzzy Clustering With Trapezoidal Information Granules

Author(s): Y. Zhang, Y. Tang, W. Pedrycz, J. Gao

Pages: 747 - 761

6) Guaranteed State and Fault Interval Estimation for Local Nonlinear Takagi–Sugeno Fuzzy Systems Based on Zonotopic Analysis

Author(s): L. Zhang, J. Dong

Pages: 762 - 771

7) A Fuzzy-Evaluation-Based Constructive Heuristics Generation Framework for Stochastic Resource Allocation

Author(s): J. Zhang, B. Xin, Q. Wang, D. Wang, W. Ma, J. Wang

Pages: 772 - 786

8) FGMMa: Multiembedding Node Classification via Fuzzy Graph Message Passing and Graph Mamba

Author(s): T. Xie, T. Yin, W. Zhang, H. Ju, J. Huang, W. Ding

Pages: 787 - 801

9) T–S Fuzzy Models-Based Consensus Tracking for Noncanonical Nonlinear Multiagent Systems Using New Adaptive Distributed Observers

Author(s): G. Lai, L. Dong, M. Li, H. Xiao

Pages: 802 - 815

10) GFS-Edge: Graph Fuzzy System for Edge Prediction

Author(s): F. Hu, Z. Deng, K. -S. Choi, S. Wang

Pages: 816 - 827

11) Nested Stacking TSK Fuzzy Classifier by Additive-Rule-Decomposition and Antinoisy-Labeling Based Learning on Large-Scale Noisy Labeling Data

Author(s): Y. Li, Z. Guo, C. -M. Vong, S. Wang

Pages: 828 - 842

12) Regional Stabilization and Estimation of Domains of Attraction for Discrete-Time T–S Fuzzy Systems via Fuzzy-modeled Membership Functions

Author(s): Y. Quilles-Marinho, D. Lee, R. C. L. F. Oliveira, P. L. D. Peres

Pages: 843 - 857

13) Fuzzy LASSO Logistic Regression: A Regularized Framework for Interpretable Binary Classification Under Uncertainty

Author(s): J. Remlalliana, P. S

Pages: 858 - 869

14) Parameter-Free Dual-Granularity Weighted Multiview Fuzzy $c$-Means Clustering

Author(s): Z. Liu, J. Shi, S. Letchmunan, Y. Huang, M. Deveci

Pages: 870 - 880

15) Vision-Language-Action Model-Based Event-Triggered Admittance Control of a Mobile Manipulator for Power Substation Live-Maintaining

Author(s): Y. Yang, Z. Li, Z. Hu

Pages: 881 - 895

16) Automatic Programming via Large Language Models With Population Self-Evolution for Dynamic Fuzzy Job Shop Scheduling Problem

Author(s): J. Huang, Q. Liu, X. Li, L. Gao, Y. Teng

Pages: 896 - 908

17) Information Granule-Based Time Series Prediction via Synergizing Multiscale and Multitype Information Granulations

Author(s): W. Wang, Y. Wang, W. Liu, H. Chen

Pages: 909 - 923

18) Efficient Fuzzy Model Predictive Tracking Control of Nonlinear Systems: A Membership Function Approximation Approach

Author(s): J. Li, A. -Y. Lu, C. Deng, J. -N. Zhang

Pages: 924 - 936

19) Fuzzy Multi-Subspace Clustering

Author(s): Y. Wang, J. Zhou, M. Song, Y. Guo, J. Lu

Pages: 937 - 951

20) Second-Order Biased Random Walk Outlier Detection Based on Bi-Level Granular-Ball Knowledge Representation

Author(s): H. Zhang, L. Yang, B. Sang, W. Xu, S. Xia, F. Zhang, G. Wang

Pages: 952 - 965

21) Enhanced One-Step Incomplete Multiview Fuzzy Clustering With Dual Representation Learning

Author(s): W. Zhang, Z. Deng, W. Ding, J. Zhou, T. Zhang, K. -S. Choi, S. Wang

Pages: 966 - 980

22) MS-FuLW: A Multiscale Fuzzy Learning Framework With Weak Supervision for Emergency Event Detection

Author(s): G. Yuan, C. Ning, C. Li, Y. Liu, Z. He

Pages: 981 - 992

23) Predefined-Time Adaptive Fuzzy Distributed Optimal Output Feedback Control for Nonlinear Multiagent Systems via Reinforcement Learning

Author(s): N. Cai, W. Wu, Y. Li, S. Tong

Pages: 993 - 1003

24) Zero-Shot Event Causality Identification via Multisource Evidence Fuzzy Aggregation With Large Language Models

Author(s): Z. Zeng, Q. Cheng, X. Hu, W. Li, W. Ding, Z. Liu

Pages: 1004 - 1016

25) State Baseline Modeling and Fault Detection for Aero-Engines With Unknown Performance Degradation Based on Deep Neural Networks

Author(s): Z. -L. Ma, X. -J. Li

Pages: 1017 - 1029

26) Adaptive Fuzzy Output-Feedback Event-Triggered Command-Filtered Backstepping Control for Uncertain Discrete-Time Nonlinear Systems

Author(s): X. Li, L. Zhao

Pages: 1030 - 1036

27) Corrections to “Exploring Fuzzy Priors From Multimapping GAN for Robust Image Dehazing”

Author(s): S. Zhang, X. Zhang, W. Ren, L. Zhao, E. Fan, F. Huang

Pages: 1037 - 1038

Friday, March 13, 2026

Weekly Review 13 March 2026

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. Is using AI to counsel schoolkids really a good idea? https://www.theguardian.com/technology/ng-interactive/2026/mar/03/schools-student-ai-counselor
2. Anxiety around AI is making people sick: https://www.computerworld.com/article/4138046/people-are-getting-sick-of-ai-literally.html
3. The impact of AI on teaching high school English: https://www.theguardian.com/education/ng-interactive/2026/mar/03/cheating-machine-or-powerful-assistant-the-ai-anxieties-of-a-trainee-teacher
4. New Zealand is not prepared for the use of AI in electioneering: https://www.rnz.co.nz/news/political/588398/ai-is-already-creeping-into-election-campaigns-nz-s-rules-aren-t-ready
5. It seems that people with mental illness are particularly endangered by AI: https://arstechnica.com/tech-policy/2026/03/lawsuit-google-gemini-sent-man-on-violent-missions-set-suicide-countdown/
6. If you have to push your employees to use AI, maybe AI isn't the solution to the problems you are having: https://www.theregister.com/2026/03/04/gartner_ai_hr_help/
7. How to prepare data for LLM AI: https://www.kdnuggets.com/data-engineering-for-the-llm-age
8. The message here is pretty clear - let Whiskey Pete play with your AI or have your company destroyed: https://www.stuff.co.nz/world-news/360947571/pentagon-says-it-labeling-ai-company-anthropic-supply-c
9. Successfully rolling-out AI requires careful preparation: https://www.informationweek.com/machine-learning-ai/architecting-for-ai-driven-growth
10. Physicists are using AI to comb through LHC data and propose new theories: https://spectrum.ieee.org/ai-new-physics
11. Hiding behind pseudonyms online is no longer possible thanks to AI: https://arstechnica.com/security/2026/03/llms-can-unmask-pseudonymous-users-at-scale-with-surprising-accuracy/
12. More and more executives are letting AI do the thinking for them: https://www.theregister.com/2026/03/05/execs_rely_on_ai/
13. Even if it is AI, having even a virtual corpse speaking would scare the hell out of me: https://www.odt.co.nz/news/dunedin/campus/ai-may-change-face-anatomy-dissection-expert
14. Even AI-powered browsers can have security flaws in them: https://www.techrepublic.com/article/news-perplexity-comet-browser-vulnerability-local-files/
15. Some pretty serious privacy concerns around Meta's AI glasses: https://www.stuff.co.nz/world-news/360946373/zuckerbergs-ai-glasses-spy-people-toilet
16. AI data centres can reduce their power demands and still get work done: https://www.theregister.com/2026/03/04/demo_shows_datacenters_can_reduce/
17. Another way of reducing the carbon impact of AI-combining floating wind turbines with data centres: https://spectrum.ieee.org/data-center-floating-wind-turbine
18. Deploying AI too quickly is causing issues with compliance and risk management: https://www.theregister.com/2026/03/03/cios_say_ai_adoption_too_fast/
19. Finding groups of gene functions using AI: https://arstechnica.com/science/2026/03/large-genome-model-open-source-ai-trained-on-trillions-of-bases/
20. A mouse robot that uses AI to detect abnormalities within the LHC: https://www.theregister.com/2026/03/05/robot_mice_lhc/
21. Combining quantum computing and AI to do better chemistry: https://spectrum.ieee.org/quantum-chemistry
22. The problem with putting AI in charge of prescriptions is that they are easily influenced: https://www.theregister.com/2026/03/04/ai_doctor_easily_swayed/
23. AI companies still need to rely on chipmakers: https://www.theregister.com/2026/03/05/broadcom_q1_2026/
24. AI are helping mathematicians verify proofs: https://spectrum.ieee.org/ai-proof-verification
25. Even in in-person classes, students are using AI to cheat : https://www.insidehighered.com/news/students/academics/2026/03/05/person-classes-arent-safe-ai-cheating-boom
26. The consistent problem with using AI to spot shoplifters and trespassers is that people are lazy and will not verify what the machine tells them: https://www.rnz.co.nz/news/national/588911/bunnings-to-trial-facial-recognition-tech-in-hamilton-stores
27. A description of some of the terms used in agentic AI: https://www.kdnuggets.com/10-agentic-ai-concepts-explained-in-under-10-minutes
28. Old AI never die, they just become bloggers: https://www.extremetech.com/computing/anthropics-former-flagship-ai-model-spends-its-retirement-blogging
29. Yet another AI coding agent: https://dataconomy.com/2026/03/05/openai-launches-standalone-codex-coding-app-for-windows/

Friday, March 6, 2026

Weekly Review 6 March 2026

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. AI can find bugs in code, but not fix them: https://www.theregister.com/2026/02/24/ai_finding_bugs/
2. I think someone who uses AI to sit a course for them is missing the point of education: https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2026/02/26/agentic-ai-can-complete-whole-courses-now
3. Putting AI in charge of strategy is a bad idea-they are too eager to go nuclear: https://www.theregister.com/2026/02/25/ai_models_nuclear/
4. Workers are being paid less while working more correcting the mistakes of AI: https://www.theguardian.com/technology/2026/feb/26/workers-training-ai-to-do-their-jobs
5. AI are solving maths benchmarks faster than they can be created: https://spectrum.ieee.org/ai-math-benchmarks
6. How much of the training data do modern AI store? https: https://arstechnica.com/ai/2026/02/ais-can-generate-near-verbatim-copies-of-novels-from-training-data/
7. China is using AI to try to discredit its critics: https://www.theregister.com/2026/02/25/chinese_law_enforcement_chatgpt_abuse/
8. This is why you don't put an unqualified drunk in charge of the world's most powerful military-he tries to put AI everywhere and throws a tantrum when he doesn't get what he wants: https://www.theregister.com/2026/02/25/pentagon_threatens_anthropic/
9. Amazon's cloud services were taken down twice by AI: https://arstechnica.com/ai/2026/02/an-ai-coding-bot-took-down-amazon-web-services/
10. The British government continues to push for more AI: https://www.theguardian.com/technology/2026/feb/25/trtreasury-blair-thinktank-advise-on-ai-use-public-services
11. Spending on AI data centres in 2026 will exceed the GDP of Ireland: https://www.theregister.com/2026/02/26/trendforce_cloud_ai_spend/
12. Flaws in data handling limit the effectiveness of business AI: https://dataconomy.com/2026/02/25/data-efficiency-missing-layer-ai-driven-growth/
13. New Zealand's privacy commissioner has signed on to a global statement on AI: https://www.rnz.co.nz/news/political/587814/ai-and-privacy-commissioner-signs-on-to-global-statement-on-potential-harms
14. British police use AI to sift through mountains of digital evidence: https://www.theguardian.com/uk-news/2026/feb/24/its-not-robocop-uk-police-embrace-ai-efficiency-in-complex-investigations
15. At this point I'd be surprised if politicians weren't using AI to write their speeches. Not that anyone could tell: https://www.stuff.co.nz/politics/360942876/nicola-willis-says-chris-hipkins-big-speech-could-have-been-ai-ai-writing-her-speeches
16. AI code generators are making software less secure: https://www.theregister.com/2026/02/26/veracode_security_ai/
17. One of the biggest worries Chief Executives have is keeping up with AI: https://www.rnz.co.nz/news/business/587712/chief-executives-optimistic-about-economic-recovery-fear-being-left-behind-in-ai-race-survey
18. Burger King is now using AI to monitor if their employees are friendly enough: https://www.theregister.com/2026/02/26/burger_kings_new_ai/
19. Will AI really bring about massive disruption to the economy? https: https://www.theguardian.com/technology/2026/feb/24/feedback-loop-no-brake-how-ai-doomsday-report-rattled-markets
20. Blaming your employees for the mistakes of an AI does not increase confidence in your services: https://www.theregister.com/2026/02/24/amazon_blame_human_not_ai/
21. AI controlled organisms in an artificial life simulator: https://www.theguardian.com/games/2026/feb/24/anlife-what-does-an-unusual-evolution-simulator-have-to-say-about-ai
22. While AI is driving number formats to lower precision, scientific computing demands more: https://spectrum.ieee.org/number-formats-ai-scientific-computing
23. How to protect yourself from AI generated scams: https://www.techrepublic.com/article/news-chatgpt-ai-scams-dating-legal/
24. The idea of AI data centres in space isn't entirely as stupid as it first seems: https://spectrum.ieee.org/orbital-data-centers

Monday, March 2, 2026

Soft Computing, Volume 30, Issue 2, February 2026

1) Quantum-secure lightweight fuzzy extractor based user authentication scheme for internet of medical things

Author(s): Arman Ahmad, S. Jagatheswari, R. Praveen

Pages: 787 - 808

2) Decision making based on interval type-2 neutrosophic numbers involving the optimal selection of a house

Author(s): Muhammad Touqeer, Ehtisham Rasool, Soheil Salahshour

Pages: 809 - 821

3) Trading strategy for Bitcoin and Ethereum by neural network model

Author(s): Mimmo Parente, Luca Rizzuti

Pages: 823 - 834

4) A many-objective evolutionary algorithm based on reference vectors and hyper-distance

Author(s): Xujian Wang, Yongjin Jing, Minli Yao

Pages: 835 - 852

5) A novel probabilistic risk measure model for multi-period uncertain portfolio selection

Author(s): Hong-Liang Dai, Cui-Yin Huang, Ye-Sen Sun

Pages: 853 - 866

6) Assessing managerial challenges to industry 4.0 adoption in the lighting industry using pythagorean fuzzy SWARA

Author(s): Ali Ihsan Boyaci, Gülşen Akman, Serra Utku

Pages: 867 - 890

7) FarsTail: a Persian natural language inference dataset

Author(s): Hossein Amirkhani, Mohammad AzariJafari, Azadeh Amirak

Pages: 891 - 903

8) An intelligent homomorphic blockchain approach for securing stock market data

Author(s): K. Swanthana, S. S. Aravinth

Pages: 905 - 919

9) A technical Chinese stock selection model with two autoencoders

Author(s): Peiwu Dong, Huimin Tang

Pages: 921 - 934

10) Symmetric key and polynomial-based key generation mechanism for secured data communications in 5G networks

Author(s): S. Pradeep, S. Muthurajkumar, A. Kannan

Pages: 935 - 950

11) Large-scale alternative processing group decision-making under Pythagorean linguistic preference environment

Author(s): Prasenjit Mandal, Sovan Samanta, Madhumangal Pal

Pages: 951 - 964

12) A study on hand gesture recognition algorithm realized with the aid of efficient feature extraction method and convolution neural networks: design and its application to VR environment

Author(s): Zhen Wang, Sung-Hoon Yoo, Witold Pedrycz

Pages: 965 - 988

13) A development of coordinate-based fuzzy encoding algorithm in compression of grayscale images

Author(s): Dan Wang, Xiubin Zhu, Zhiwu Li

Pages: 989 - 999

14) A dominance-inferiority-based rough set model and its application to car evaluation

Author(s): Bin Yu, Hengjie Xie, Zeshui Xu

Pages: 1001 - 1009

15) Time-series forecasting based on fuzzy cognitive maps and GRU-autoencoder

Author(s): Xiaoqian Liu, Yingjun Zhang, Hua Huang

Pages: 1011 - 1027

16) Social context-aware and fuzzy preference temporal graph for personalized B2B marketing campaigns recommendations

Author(s): Sarita Patil, Vinod Vaze, Hemant Mahajan

Pages: 1029 - 1044

17) Hybrid whale optimization algorithm with simulated annealing for load frequency controller design of hybrid power system

Author(s): Pratap Chandra Nayak, Sonalika Mishra, Sidhartha Panda

Pages: 1045 - 1068

18) An improved sparrow search algorithm optimized fuzzy controller for the tea water-removin temperature control system

Author(s): Xingran Chen, Haisong Huang, Pengfei Hu

Pages: 1069 - 1088

19) A mutation-based modified binary fruit fly optimization for feature selection to predict CD4+/CD8+ T-cells epitopes

Author(s): Pratik Angaitkar, Rekh Ram Janghel, Tirath Prasad Sahu

Pages: 1089 - 1108

20) Model order reduction for SISO and MIMO system using improved adaptive differential evolution algorithm

Author(s): Aditya Prasad Padhy, Sibarama Panigrahi, Prateek Pratyasha

Pages: 1109 - 1128

21) Utilizing heuristic strategies for predicting the backbreak occurrences in open-pit mines, Gol Gohar Mine, Iran

Author(s): Parviz Sorabi, Mohammad Ataei, Mohammad Hosein Habibi

Pages: 1129 - 1144

22) Exploring and mining rationale information for low-rating software applications

Author(s): Tahir Ullah, Javed Ali Khan, Hasna Arshad

Pages: 1145 - 1170

23) Bidirectional normalized q-rung orthopair fuzzy projection and extended TOPSIS approach to multiattribute group decision making

Author(s): Xiaoping Jia, Baozhu Jia, Shoujun Zhang

Pages: 1171 - 1192

24) Novel rough set models based on hesitant fuzzy information

Author(s): José Carlos R. Alcantud, Feng Feng, Stefania Tomasiello

Pages: 1193 - 1214

25) A secure and intelligent public distribution system (SIPDS) based on deep learning and Ethereum using predictive analytics for supply chain services

Author(s): C. Devi Parameswari, M. Ilayaraja

Pages: 1215 - 1231

26) A novel EZS-MSCA and SeLu SqueezeNet-based lung tumor detection and classification

Author(s): Vijay Kumar Gugulothu, Savadam Balaji

Pages: 1233 - 1244

27) A recurrent neural network-based identification of complex nonlinear dynamical systems: a novel structure, stability analysis and a comparative study

Author(s): R. Shobana, Rajesh Kumar, Bhavnesh Jaint

Pages: 1245 - 1261

28) Development of a multi-stage, multi-product solid supply chain network design and solution with meta-heuristic algorithms

Author(s): Amir Rezaei, Golara Chaharmahali, Mostafa Hajiaghaei-Keshteli

Pages: 1263 - 1278

29) A crossover-based optimization algorithm for multilevel image segmentation

Author(s): Dikshit Chauhan, Anupam Yadav

Pages: 1279 - 1311

30) Development of trust-based authorization and authentication framework for secure electronic health payment in cloud environment

Author(s): A. Saranya, R. Naresh, M. Jenifer

Pages: 1313 - 1328

31) Increasing drilling efficiency: rock drillability assessment with improved reliability methods

Author(s): Hadi Fattahi, Fateme Jiryaee

Pages: 1329 - 1346

32) Mitigating concept drift in data streams: an incremental decision tree approach

Author(s): Hadi Tarazodar, Karamollah Bagherifard, Razieh Malekhosseini

Pages: 1347 - 1376

33) Sensorless control of permanent magnet synchronous motor based on two stage low pass filtering sliding mode observer

Author(s): Xinhong Zou, Kai Yang, Yixiao Luo

Pages: 1377 - 1390

34) A novel image encryption algorithm using tent and Lorenz chaotic system

Author(s): Balmukund Jha, Piyush Kumar Singh, Vandna Rani Verma

Pages: 1391 - 1412

35) CCNet: Cross-teaching semi-supervised ultrasound image segmentation with hybrid convolutional kernels

Author(s): Huabiao Zhou, Yanmin Luo, Weiwei Lin

Pages: 1413 - 1429

36) Vision transformer-based fuzzy semi-supervised multimodal learning for skin lesion image classification

Author(s): Israt Yasmin, Suriya Sultana, M. Jamshed Alam Patwary

Pages: 1431 - 1449

37) Correction to: Note on modular equations in the theory of signature 4

Author(s): B. R. Srivatsa Kumar, P. S. Guruprasad, Raksha

Pages: 1451 - 1451

38) Correction to: Automated facial expression recognition using exemplar hybrid deep feature generation technique

Author(s): Mehmet Baygin, Ilknur Tuncer, U. Rajendra Acharya

Pages: 1453 - 1454

39) Correction to: An asymmetric lightweight multi-task network based on KAN Convolution

Author(s): Fanyun Meng, Yongqiang Sun, Jinlong Wang

Pages: 1455 - 1455

40) Correction to: On multi-objective multi-coverage covering salesman problem

Author(s): Amiya Biswas, Erfan Babaee Tirkolaee, Tandra Pal

Pages: 1457 - 1457

Friday, February 27, 2026

Weekly Review 27 February 2026

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. Greenwashing applies to AI as much as any other industry: https://www.theguardian.com/technology/2026/feb/17/tech-companies-traditional-ai-generative-climate-breakdown-report
2. No New Zealand lawyers have yet been caught using AI to generate their submissions: https://www.leightonassociates.co.nz/post/no-nz-lawyers-or-employment-advocates-have-been-called-out-for-hallucinated-ai-yet
3. Hiding what an AI coding agent is doing is not making developers happy: https://www.theregister.com/2026/02/16/anthropic_claude_ai_edits/
4. White-collar jobs like in the film industry are really getting hammered by AI: https://www.stuff.co.nz/business/360938829/she-was-earning-65000-ai-came-along-what-happened-nex
5. Google needs to do a better job warning people about the dangers of its AI health recommendations: https://www.theguardian.com/technology/2026/feb/16/google-puts-users-at-risk-downplaying-disclaimers-ai-overviews
6. Using AI to cheat on a course about AI seems rather wonderfully ironic: https://www.theregister.com/2026/02/16/kpmg_partner_in_oz_turned/
7. Generative AI can't do much to help the environment, but more classic machine learning can: https://dataconomy.com/2026/02/17/study-finds-74-of-ai-climate-claims-lack-evidence/
8. If a tool like AI is available that makes peoples' jobs easier, they tend to use it, whether it's appropriate or not: https://www.rnz.co.nz/news/national/586932/corrections-takes-action-against-staff-s-unacceptable-use-of-artificial-intelligence
9. How AI plots driving pathways for a Mars rover: https://spectrum.ieee.org/perseverance-rover-nasa-anthropic-ai
10. AI needs a huge amount of electricity, geothermal power generation is a more environmentally friendly way of getting it: https://www.theregister.com/2026/02/18/google_ormat_geothermal_datacenter_deal/
11. Court cases continue around whether or not AI can be legally considered an inventor: https://www.rnz.co.nz/news/national/587013/can-artificial-intelligence-legally-be-an-inventor
12. The problems with taking AI projects from pilot to production are not unique to AI, but common to all IT projects: https://www.informationweek.com/ai-innovations/from-pilot-purgatory-to-productive-failure-fixing-ai-s-broken-learning-loop
13. Building AI data centre satellites on the moon is not going to change the fundamental problems with the idea: https://www.extremetech.com/aerospace/xai-talks-up-building-a-lunar-mass-driver-to-launch-ai-satellites-into
14. Dedicated AI hardware, in this case neuromorphic chips, continues to improve and gain new abilities: https://dataconomy.com/2026/02/18/sandia-labs-uses-neuromorphic-chips-to-solve-partial-differential-equations/
15. Translators and artists are seeing their incomes slashed by AI: https://www.stuff.co.nz/nz-news/360939695/they-were-earning-120000-then-ai-came-along-now-theyre-earning-third
16. AI will lie to make the user happy, rather than tell them an unpleasant truth: https://www.theregister.com/2026/02/17/google_gemini_lie_placate_user/
17. It is possible to attack an AI in such a way that its internal model is revealed: https://www.theregister.com/2026/02/14/ai_risk_distillation_attacks/
18. Dating apps are often one of the early adopters for new technology, including AI: https://www.theguardian.com/technology/2026/feb/15/ai-dating-apps-personality-matchmaking
19. Unsurprisingly, using AI to write a letter of remorse after committing a crime tends to annoy the judge: https://www.rnz.co.nz/news/national/586871/judge-exposes-ai-generated-remorse-letters-in-michae-win-arson-sentencing
20. AI demos are easy, but getting them to be useful and contributing to the bottom line is hard: https://www.computerworld.com/article/4132756/the-ai-bubble-will-burst-for-firms-that-cant-get-beyond-demos-and-llms.html
21. AI cannot generate effective passwords: https://www.theregister.com/2026/02/18/generating_passwords_with_llms/
22. A new approach enables AI to continue learning, rather than getting stuck in one skill set: https://dataconomy.com/2026/02/18/mit-and-eth-zurich-unveil-sdft-to-stop-ai-from-forgetting-old-skills/
23. A lot of senior people in AI companies are getting out: https://www.computerworld.com/article/4133137/why-are-ai-leaders-fleeing.html
24. AI generated writing is often so, so average-it's by design: https://www.theregister.com/2026/02/16/semantic_ablation_ai_writing/

Wednesday, February 25, 2026

Complex & Intelligent Systems, Volume 12, Issue 2, February 2026

1) I2D-SGG: scene graph generation via joint modeling of intra- and inter-relationship dependencies

Author(s): Juan Lei, Jiangpeng Tian, Zhiwei He

2) A chord-controlled transformer for controllable and coherent music generation

Author(s): Zhiqiang Gao

3) Deep recommendation algorithm based on reviews and descriptions neural matrix factorization under cold-start

Author(s): Kechao Li, Nor Ashikin Mohamad Kamal

4) Semantic utility-driven client selection for task-oriented split federated learning

Author(s): Zepei Liu, Zhigang Jin, Xiaodong Wu

5) A Fast Multi-AUV Multi-Regional Coverage Path Planner in Coverage Tasks Based on Co-evolution

Author(s): Chang Cai, Yuchen Liu, Lei Cai

6) An improved lightweight irrigation canal segmentation network with direction perception for agricultural UAVs

Author(s): Jianjun Ni, Zheng Gong, Simon X. Yang

7) ASOI: anomaly separation and overlap index, an internal evaluation metric for unsupervised anomaly detection

Author(s): Jiyan Salim Mahmud, Zakarya Farou, Imre Lendák

8) FBCCNet: a Bayesian perspective of federated learning with crowdsourced annotations on client side

Author(s): Hangyu Zhu, Xilu Wang, Yaochu Jin

9) Credit risk prediction and heterogeneity analysis for SMEs based on large language models and multimodal data fusion

Author(s): Chuanhe Shen, Wenjing Pan, Xu Shen

10) Bayesian-Optimized Ensemble Models for Predicting Steel Mechanical Properties

Author(s): Suyang Wang, Qingqi Zhu, Fang Dong

11) NIM-STGCN: Differentiable motion decomposition for egocentric pedestrian trajectory prediction

Author(s): Fangtao Qin, Bin Fang, Yi Wang

12) Mismatching points rejection in multi-modal super-wide field-of-view infrared distorted image registration with global selection-preserving matching

Author(s): Fuyu Huang, Jun Zou, Dongdong Shi

13) AuDiffusion: multi-agent controlled text-to-image generation with attention-enhanced mamba blocks

Author(s): Dezhi An, Wanyao Zhang, Jun Lu

14) COLIN: complementary and competitive balanced learning network for multi-modal multi-label emotion recognition

Author(s): Xiaoyu Liu, Ting Wang, Xiaowen Zhang

15) Ulcod-net: an ultra-lightweight camouflage object detection framework with gated multi-level feature fusion and dual-constraint refinement

Author(s): He Xiao, Ziyang Liu, Liping Deng

16) IRG-ResNet: distillation model for corn disease recognition

Author(s): Shaoqiu Zhu, Lujie Bai, Haitao Gao

17) StockCI: a hybrid model integrating CEEMDAN and informer for enhanced long-term stock price forecasting

Author(s): Mo-Ce Gao

18) Physics-informed neural network and momentum contrastive learning for battery state of health estimation

Author(s): Jiwoo Jung, Yipene Cedric Francois Bassole, Yunsick Sung

19) PHOENIX: A Hybrid Metaheuristic Framework for Multi-UAV Collaborative Trajectory Planning in Complex Three-Dimensional Environments

Author(s): Ershen Wang, Haolong Xu, Fan Li

20) Llm-ga: A gradient-based multi-label adversarial attack by large language models

Author(s): Yujiang Liu, Yamin Hu, Wenjian Luo

21) MAAN: multi-scale atrous attention network for skin lesion segmentation

Author(s): Yang Lian, Ruizhi Han, Jin Zhou

22) Adaptive exploration and temporal attention in reinforcement learning for autonomous air combat decision making

Author(s): Xiang Wu, Junzhe Jiang, Xueyun Chen

23) Fishing vessel behavior pattern recognition using AIS sub-trajectory prototype learning based on Gramian Angular Field

Author(s): Songtao Hu, Guanyu Chen, Xiaokang Wang

24) Organfit: a multi-scale convolutional model with ellipse fitting for organoid identification

Author(s): Le Tong, Xinran Li, Wei Du

25) Grouping via sensitivity analysis evolutionary algorithm for high-dimensional expensive multi-objective optimization

Author(s): Weichao Chen, Ziyang Li, Yonglin Pu

26) A real-time mobile solution for shoe try-on using foot pose estimation and 3D processing techniques

Author(s): Nguyen Hoang Vu, Tran Van Duc, Nguyen Tien Dat

27) Semantic segmentation assisted deep ensemble feature learning model for skin-cancer detection and classification: SDENet

Author(s): Ch. Srilakshmi, N. Ramakrishnaiah, E. Laxmi Lydia

28) FieldVMC: an asynchronous model and platform for self-organising morphogenesis of artificial structures

Author(s): Angela Cortecchia, Giovanni Ciatto, Danilo Pianini

29) Real-time fault detection in multirotor UAVs using lightweight deep learning and high-fidelity simulation data with single and double fault magnitudes

Author(s): Md. Najmul Mowla, Davood Asadi, Ferdous Sohel

30) SRL: A segmented reinforcement learning framework for long sequence layout decisions

Author(s): Jie Yang, Jian Chen, Bin Yan

31) Decoding digital footprints: user re-identification through mobility pattern decomposition and collaborative fusion

Author(s): Yu Lu, Bin Wang, Botao Jiang

32) Adaptive event triggering asynchronous control for interval type-2 fuzzy Markov jump systems with uncertainties and deception attacks

Author(s): A. Chandrasekar, Wen-Jer Chang, Muhammad Shamrooz Aslam

33) Denoised generative fusion networks for noise-robust few-shot image classification

Author(s): Jiaying Wu, Jingyu Chen, Hui Li

Friday, February 20, 2026

Weekly Review 20 February 2026

Some interesting links that I Tweeted about in the last week (I also post these on Mastodon, Threads, Newsmast, and Bluesky):

1. Europe and the Middle East are lagging behind in preparing data centres for AI: https://www.theregister.com/2026/02/11/ai_datacenters_bcs/
2. Like most tools that make workers more efficient, giving employees AI tools results in them doing more work: https://www.theregister.com/2026/02/11/ai_makes_employees_work_harder/
3. The security threats that are posed by AI: https://www.informationweek.com/cybersecurity/slamming-the-door-on-ai-based-cybersecurity-threats
4. The British military is integrating more AI into its kill chain: https://www.theregister.com/2026/02/10/mod_project_asgard/
5. Using AI doesn't necessarily save time when making movies: https://arstechnica.com/features/2026/02/why-darren-aronofsky-thought-an-ai-generated-historical-docudrama-was-a-good-idea/
6. The benefits and risks of AI companions: https://spectrum.ieee.org/ai-companion-harm-benefit
7. How many AI coding agents does it take to write a C compiler? 16, and it's not a hard task: https://arstechnica.com/ai/2026/02/sixteen-claude-ai-agents-working-together-created-a-new-c-compiler/
8. AI are helping to synthesise new materials: https://www.hpcwire.com/bigdatawire/2026/02/11/from-prediction-to-production-mits-ai-system-helps-synthesize-new-materials/
9. A court case is thrown out by the judge after a lawyer keeps abusing AI in their filings: https://arstechnica.com/tech-policy/2026/02/randomly-quoting-ray-bradbury-did-not-save-lawyer-from-losing-case-over-ai-errors/
10. AI are not good at giving medical advice: https://www.theregister.com/2026/02/09/ai_chatbots_medical_advice_sucks/
11. The USA can't expect to dominate AI for ever: https://www.theguardian.com/technology/2026/feb/09/us-tech-ai-companies-gulf-states
12. Using AI to caricature yourself leaks information that threatens your security: https://www.theregister.com/2026/02/11/ai_caricatures_social_media_bad_security/
13. SMOTE can be used to correct class imbalances when training AI, but it must be used correctly: https://www.kdnuggets.com/why-most-people-misuse-smote-and-how-to-do-it-right
14. While AI can help make meetings more efficient, I doubt they could make them less boring: https://www.computerworld.com/article/4127434/qa-how-ai-could-transform-corporate-meetings-for-better-or-worse.html
15. As AI takes on more professional roles, people are retraining in trades: https://www.theguardian.com/technology/2026/feb/11/big-ai-job-swap-white-collar-workers-ditching-their-careers
16. Another AI data centre is refused construction permission because of environmental concerns: https://www.theregister.com/2026/02/10/edinburgh_green_ai_datacenter/
17. Using AI to design chips for AI: https://www.theregister.com/2026/02/10/cadences_agentic_chip_design_tool/
18. Why AI companions are so appealing to people: https://spectrum.ieee.org/ai-companion-relationships
19. The economics around putting AI data centres into space are not looking good: https://techcrunch.com/2026/02/11/why-the-economics-of-orbital-ai-are-so-brutal/
20. Some AI systems being rolled out could be left legally unusable due to regulation: https://www.informationweek.com/machine-learning-ai/state-ai-regulations-could-leave-cios-with-unusable-systems
21. AI can now translate language as well as the average human translator, but not as well as more experienced translators: https://spectrum.ieee.org/chatgpt-translate-skills-human-comparison
22. AI can now provide real-time translation in phone calls: https://www.theregister.com/2026/02/11/tmobile_network_ai_translate_live_calls/
23. A short history of OpenClaw, the vibe coded AI: https://www.computerworld.com/article/4128257/openclaw-the-ai-agent-thats-got-humans-taking-orders-from-bots.html
24. AI are now as creative as the average human, for some areas: https://dataconomy.com/2026/02/10/ai-models-outperform-average-human-creativity-in-new-study/
25. A proposed market place for licensing media to AI companies: https://dataconomy.com/2026/02/11/amazon-plans-ai-licensing-platform-for-publishers-via-aws/

Wednesday, February 18, 2026

IEEE Transactions on Artificial Intelligence, Volume 7, Issue 2, February 2026

1) Online Multilabel Streaming Feature Selection With Missing Features by Dual-Space Consistency Information Measurement

Author(s): J. Dai, J. Wang

Pages: 610 - 624

2) CoT-Drive: Efficient Motion Forecasting for Autonomous Driving With LLMs and Chain-of-Thought Prompting

Author(s): H. Liao, H. Kong, B. Wang, C. Wang, K. Y. Wang, Z. He, C. Xu, Z. Li

Pages: 625 - 641

3) ProLLaMA: A Protein Large Language Model for Multitask Protein Language Processing

Author(s): L. Lv, Z. Lin, H. Li, Y. Liu, J. Cui, C. Y. -C. Chen, L. Yuan, Y. Tian

Pages: 642 - 653

4) Subnetwork Knowledge Injection and Transferable Parameter Updating Strategy for Continual Learning of Vision-and-Language Tasks

Author(s): J. Wang, Q. Zhang, J. Liu, K. Nie, Z. Zhang, L. Song, Y. Li

Pages: 654 - 663

5) Towards Trustworthy Dialogue Systems With Advanced Out-of-Scope Intent Detection Model

Author(s): Q. Yin, Z. Wang, L. Bai, Y. Song, D. Xu, X. Yang

Pages: 664 - 673

6) Can LLM-Augmented Autonomous Agents Cooperate? An Evaluation of Their Cooperative Capabilities Through Melting Pot

Author(s): M. Mosquera, J. S. Pinzón, Y. Fonseca, M. Ríos, N. Quijano, L. F. Giraldo, R. Manrique

Pages: 674 - 683

7) Implementation of FPGA-Based Neural Network Controller for Reducing Speed Ripple for a PMSM-Driven EV Using MRAS Speed Estimator

Author(s): S. K. Kakodia, G. Dyanamina

Pages: 684 - 695

8) TRACE: Unlocking the Potential of LLMs in Time Series Forecasting for Distributed Energy Resources

Author(s): Y. Chen, H. Xie

Pages: 696 - 709

9) Deep Mixture Weibull: An Explainable AI Approach for Survival Analysis With Principle Hidden Competing Risks

Author(s): J. Cheng, G. Hu, Y. -P. Tan

Pages: 710 - 725

10) Toward Robust Nonlinear Subspace Clustering: A Kernel Learning Approach

Author(s): K. Xu, L. Chen, S. Wang

Pages: 726 - 739

11) Irony Detection, Reasoning, and Understanding in Zero-Shot Learning

Author(s): P. Yi, Y. Xia, Y. Long

Pages: 740 - 754

12) Layer-Wise Adaptive Freezing With Spatial Prompt Learning for Efficient Fine-Tuning in Image Classification

Author(s): J. Wang, Q. Xu, B. Jiang, B. Luo

Pages: 755 - 767

13) Illumination Aware Multiscale Attention Fusion Model for Underwater Image Enhancement

Author(s): A. Chauhan, D. Goel, M. Kapoor, B. N. Subudhi, V. Jakhetiya

Pages: 768 - 779

14) Quantasio: A Generalized Neural Framework for Solving 3-D Navier–Stokes Dynamics

Author(s): S. Sarker, S. Chakraborty

Pages: 780 - 790

15) Latent Variable Modeling for Controllable and Diverse Generation From Large Language Models

Author(s): J. Zhang, B. Li, Z. Chen, C. Liu, C. Li, C. Lin, W. Rong

Pages: 791 - 805

16) Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance Generation

Author(s): P. Roy, S. Bhattacharya, S. Ghosh, U. Pal, M. Blumenstein

Pages: 806 - 817

17) Dynamic Obstacle Avoidance Using Path Reshaping on Probabilistic Roadmaps for High-Degree-of-Freedom Robots

Author(s): P. Ojha, A. Thakur

Pages: 818 - 827

18) An Enhanced Aircraft Fuselage Defect Detection Model With Hybrid Logical-Feature Distillation

Author(s): J. Chen, H. Zha, R. Guo, C. Huang, J. Wu

Pages: 828 - 838

19) Hierarchical Reinforcement Learning for Mapless Moving Target Navigation With Communication Interruption

Author(s): Z. Feng, B. Luo, H. Li, X. Xu, L. Xiao, Y. Zhao, C. Yang, W. Gui

Pages: 839 - 853

20) Fourier-Driven Lightweight Token Mixing Model for Efficient Time Series Forecasting

Author(s): J. Kumari, A. Mondal, J. Mathew

Pages: 854 - 867

21) Temporal Domain Guided Prediction Network

Author(s): S. -P. Pan, J. -C. Hung, S. -C. Huang, J. -Y. Wu, D. -W. Jaw

Pages: 868 - 877

22) Constrained Gaussian Splatting via Implicit TSDF Hash Grid for Dense RGB-D SLAM

Author(s): G. Li, Q. Chen, S. Hu, Y. Yan, J. Pu

Pages: 878 - 891

23) Practical Group Consensus of T-S Fuzzy Positive Multiagent Systems Using Compensative Control

Author(s): J. Zhang, H. Ji, T. Raïssi, H. Yang

Pages: 892 - 905

24) Refined Two-Sided Learning Rate Tuning for Robust Evaluation in Federated Learning

Author(s): E. Malan, V. Peluso, A. Calimera, E. Macii

Pages: 906 - 917

25) PGR: Pseudograph Regularization for Semisupervised Classification

Author(s): C. Hu, J. Song, X. -J. Wu

Pages: 918 - 930

26) Application of Gaussian Distribution Crayfish Optimization in Adaptive FIR Filter Bank: Four-Channel Uniform and Nonuniform Designs

Author(s): H. Daulat, K. Chauhan, T. Varma

Pages: 931 - 946

27) SpikeNAS: A Fast Memory-Aware Neural Architecture Search Framework for Spiking Neural Network-Based Embedded AI Systems

Author(s): R. V. W. Putra, M. Shafique

Pages: 947 - 959

28) Zero-Parameter Attention Sharing Transformer for Joint Human Activity and Identity Recognition

Author(s): S. Huang, P. -Y. Chen, P. Zhou, K. Li, J. A. McCann

Pages: 960 - 972

29) Machine Learning-Driven Optimization of a Sensor Network for Accurate Pollutant Source Identification

Author(s): S. M. Alaoui, K. Djemal, E. S. Gooya, A. A. Feiz, A. A. Falou

Pages: 973 - 985

30) Contrastive Learning Feature Enhancement and High–Low Frequency Texture Interaction Networks for DIBR-Synthesized View Quality Assessment

Author(s): C. Jin, Y. Cai, Y. Chen, T. Luo, Z. He, Y. Song

Pages: 986 - 1001

31) Stragglers Reimagined: Explainability-Driven Adaptive Federated Learning for Resource Constrained IoMT System

Author(s): R. Tapwal

Pages: 1002 - 1011

32) Normalizing Flow-Based Fine-Grained Modeling for Unknown Gesture Rejection in Myoelectric Pattern Recognition

Author(s): J. Jia, L. Wu, S. Duan, X. Chen

Pages: 1012 - 1024

33) Demystifying MuZero Planning: Interpreting the Learned Model

Author(s): H. Guei, Y. -R. Ju, W. -Y. Chen, T. -R. Wu

Pages: 1025 - 1036

34) Frequency-Domain Feature Reconstruction Network With Memory Units for Anomaly Detection of Fused Magnesium Furnaces

Author(s): Q. Liu, Y. Wang, C. Yang, J. An, Y. -m. Cheung

Pages: 1037 - 1047

35) Multilabel Chest X-Ray Image Classification via Category Disentangled Causal Learning

Author(s): Q. Li, M. Liu, R. Chang, W. Nie, S. Bai, A. Liu

Pages: 1048 - 1061

36) A Hybrid Clinical Knowledge-Driven Transformer for Breast Ultrasound Video Classification

Author(s): M. Liu, Z. Yao, M. Li, C. Zhao, J. Xu, J. Yu

Pages: 1062 - 1072

37) CLARITY: A Lightweight Multimodal Transformer for Harmful Content Detection

Author(s): G. S. Kashyap, N. Jain, E. Shabbir, H. Joshi, U. Naseem, J. Gao

Pages: 1073 - 1083

38) SleepLog: Local-Global Deep Fusion Learning for Sleep Staging Transformer

Author(s): J. Sun, C. Chen, W. Ding, X. Hu

Pages: 1084 - 1096

39) Knowledge Distillation for an Ensemble of Students From a Pyramid of Teachers With Diverse Perspective

Author(s): S. Banerjee, A. Paul

Pages: 1097 - 1106

40) Optimizing ADHD Detection: An Autoencoder Approach for Multimodal Classification

Author(s): C. Nash, R. Nair, S. M. Naqvi

Pages: 1107 - 1117

41) Balanced Sampling and Reusing Imaginary Data for World Models in Reinforcement Learning

Author(s): Q. Wang, X. Wei, J. Yan, L. Hou U, H. Pu, J. Luo, W. Jia, M. Zhou

Pages: 1118 - 1130

42) AR2FL: Anomaly-Resistant Robust Framework for Federated Learning

Author(s): M. K. Kundalwal, D. Mishra

Pages: 1131 - 1142

43) Collective Performance Induced by Social and Individual Learning in Any Population Structure: An Evolutionary Game Approach

Author(s): Z. Li, J. Zhang, X. Chen, A. Szolnoki

Pages: 1143 - 1157

44) Towards General Protein Structure Representation Learning With a Protein Size Prompt

Author(s): A. Shen, M. Yuan, Y. Ma, Q. Huang, J. Du, Z. Cao, M. Wang

Pages: 1158 - 1167

45) Learn Once Plan Arbitrarily (LOPA): Dynamic Observation-Based Deep Reinforcement Learning Method for Global Path Planning in Mountainous Terrain Environment

Author(s): S. Huang, M. Hou, X. Yuan, X. Wu, Y. Wang, G. Huang

Pages: 1168 - 1184

46) Optimization for Community Detection in Multilayer Networks: A Comprehensive Review and Novel Taxonomy

Author(s): R. Boukabene, F. B. -S. Tayeb

Pages: 1185 - 1200

47) Efficient Graph Representation With Anchor-Graph Transformer

Author(s): Z. Zhang, F. Xu, B. Jiang, J. Tang

Pages: 1201 - 1209

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