Computational Intelligence

1) AI-Based Automatic Prostate Gland Segmentation in Multi-modal Medical Imaging: A Review

Author(s): D. Xu, R. Jin, F. Lu, D. Li, D. Xiang, L. Zhang, H. Zhou, F. Shi, W. Zhu, J. Cai, E. Gao, X. Chen, T. Peng

Pages: 3034 - 3049

2) Contrast Duality of Adversarial Learningin Network Intrusion: A Review

Author(s): S. Saini, A. Chennamaneni, B. Sawyerr

Pages: 3050 - 3067

3) Regularization in Neural Networks: A Survey and Empirical Analysis of Approaches

Author(s): C. P. Opperman, A. S. Bosman, K. M. Malan

Pages: 3068 - 3082

4) Vetaverse: Technologies, Applications, and Visions toward the Intersection of Metaverse, AI, Vehicles, and Transportation Systems

Author(s): P. Y. Zhou, J. Zhu, Y. Wang, Y. Lu, Z. Wei, H. Shi, Y. Ding, Y. Gao, Q. Huang, Y. Shi, A. Alhilal, L. -H. Lee, T. Braud, P. Hui, L. Wang

Pages: 3083 - 3103

5) TGDIP: Two-Stage Graph Information Maximization for Drug–Drug Interaction Prediction

Author(s): L. Meng, Y. He, L. Huang, Y. Zhang, W. Ding, F. Yang

Pages: 3104 - 3117

6) Heterogeneity-Aware Federated Learning for Medical Image Classification With Dynamic Parameter Optimization

Author(s): P. Sahoo, A. Tripathi, S. Saha, S. Mondal

Pages: 3118 - 3129

7) A Novel Image Inpainting Network With Self-Attention Mechanism and Residual Block

Author(s): T. Barua, T. Mahmud, T. Akter, A. Majumder, M. S. Hossain, K. Andersson

Pages: 3130 - 3145

8) Visual Safety Mapping for UAV Landings Using Ordinal Regression Networks

Author(s): S. Abdollahzadeh, M. S. Allili, A. Boulmerka, J. -F. Lapointe

Pages: 3146 - 3159

9) DWAKC: Dynamic Weighted Adaptive Kernel Convolution for Diabetic Retinopathy Grading

Author(s): S. Madarapu, S. Ari, K. Mahapatra

Pages: 3160 - 3170

10) Investigating the Robustness of Fuzzy Deep Learning on Noisy Medical Images

Author(s): B. Pandey, S. R. Dubey, D. Joshi

Pages: 3171 - 3180

11) Adversarial Training in Low-Label Regimes With Margin-Based Interpolation

Author(s): T. Ye, R. Kannan, V. K. Prasanna

Pages: 3181 - 3193

12) SeqProFT: Sequence-Only Protein Property Prediction With LoRA Finetuning

Author(s): S. Zhang, J. K. Liu

Pages: 3194 - 3204

13) ADMM-Enhanced CNN Training Framework With Global Convergence Guarantees

Author(s): C. Song, Z. Kong, S. Liu, L. Ding, B. Huang, W. Xiang, T. Huang

Pages: 3205 - 3220

14) GRACE-FL: Green Resource-Aware Communication-Efficient Federated Learning

Author(s): D. Thakur, A. Guzzo, G. Fortino, S. K. Das

Pages: 3221 - 3236

15) FedFlex: Protecting Shared Features in Vertical Federated Learning via Differential Privacy

Author(s): Y. Mi, H. Liu, Y. Xia, Y. Sun, Y. Tang, J. Guan, S. Zhou

Pages: 3237 - 3247

16) KR-SWP: Knowledge Reuse for Stripe-Wise Pruning

Author(s): Z. Huo, J. Xu, J. Wu, C. Wang, W. Huang, J. Qian

Pages: 3248 - 3258

17) Dual-Locking Learned AI Models: A PIN-Based Sparse QIM Watermarking and Adaptive Index Permutation Approach

Author(s): I. Vasic, J. Muñoz-Cádiz, B. Vasic

Pages: 3259 - 3272

18) Federated Prior Learning With Uncertainty Mitigation for Heterogeneous Distributed Devices

Author(s): F. Li, X. Chen, J. Liu, Y. Wang, H. Han

Pages: 3273 - 3287

19) CoGenT: A Unified Contrastive-Generative Framework for Time Series Classification

Author(s): Z. Liu, A. Alavi, M. Li, X. Zhang

Pages: 3288 - 3297

20) Multitask Transfer Learning in Trajectory Tracking Control Problems Using Iterative Learning Control

Author(s): J. Cui, N. -M. T. Kokolakis, K. G. Vamvoudakis, P. A. Vela

Pages: 3298 - 3313

21) A Generative AI Application for Qualitative Automatic Population of Multimedia Knowledge Graphs

Author(s): D. Benfenati, A. M. Rinaldi, C. Russo, C. Tommasino

Pages: 3314 - 3323

22) Community-Driven Contrastive Learning: Enhancing Global Representation in Graph Neural Networks

Author(s): W. Zhou, Z. Huang, S. Wang, J. Fang, Z. Jia, L. Lv, X. Xie

Pages: 3324 - 3334

23) Machine Unlearning For Alleviating Negative Transfer In Partial-Set Source-Free Unsupervised Domain Adaptation

Author(s): J. Wu, X. Yun, F. Ji, L. Peng, J. Yang

Pages: 3335 - 3345

24) QMIP: Enhancing Multiagent Reinforcement Learning Coordination Through Macro Intention Prediction

Author(s): Y. Cui, B. Luo, R. Tang, C. Yang, W. Gui

Pages: 3346 - 3360

25) Information Bottleneck for Attribution Applied to Object Detection

Author(s): B. Coelho, J. S. Cardoso

Pages: 3361 - 3369

26) A Robust Fuzzy Neural Dynamics for Collaborative Control in Multimanipulator Systems

Author(s): H. Cai, W. Tang, L. Xiao, P. Tan, Q. Zuo

Pages: 3370 - 3382

27) Interpretable CNN–LSTM Framework for Multiclass Neuromuscular Disorder Classification Using Clinically Relevant EMG Features

Author(s): A. T. Ritu, S. Hossain, M. Z. Hasan, S. Bosak, A. Hanip, T. Bhuiyan

Pages: 3383 - 3398

28) SparseAD: Sparse Query-Centric Paradigm for Efficient End-to-End Autonomous Driving

Author(s): R. Zhu, J. Zhao, D. Zhang, G. Wang, X. Chen, S. Zhang, J. Gong, Q. Zhou, W. Zhang, N. Wang, F. Tan, Z. Xu, H. Zhou, H. Yao, C. Zhang, L. Liu, X. Liu, X. Di, B. Li

Pages: 3399 - 3413

29) A Preference-Driven Methodology for Efficient Code Generation

Author(s): Y. Li, Z. Zhou, Z. Peng, J. Dong, H. You, R. Yan, S. Wen, Y. Tian, T. Huang

Pages: 3414 - 3428

30) SimLOB: Learning Representations of Limit Order Book for Financial Market Simulation

Author(s): Y. Li, Y. Wu, M. Zhong, S. Liu, P. Yang

Pages: 3429 - 3444

31) Identifier-Critic-Based Adaptive Optimal Control for USVs With Guaranteed Performance

Author(s): L. Chen, Y. Wang, Z. Miao, Y. Jiang, X. Wang, S. -L. Dai

Pages: 3445 - 3456

32) Learning Personalized Human Decision Models in Cyber Defense

Author(s): A. Ravari, G. Jiang, M. Imani, R. H. Thomson, A. A. Pyke, N. D. Bastian, T. Lan

Pages: 3457 - 3472

33) Omics-Based Cancer Prognosis Across Ethnic Groups: From Feature Engineering to Disparity Detection and Mitigation

Author(s): T. Sharma, N. K. Verma, Y. Cui

Pages: 3473 - 3484

34) Generalizable Synthetic Image Detection via Language-Guided Contrastive Learning

Author(s): H. Wu, J. Zhou, S. Zhang

Pages: 3485 - 3496

35) Enhancing EEG Signal-Based Emotion Recognition With Synthetic Data: Diffusion Model Approach

Author(s): G. Siddhad, M. Iwamura, P. P. Roy

Pages: 3497 - 3506

36) Reinforcement Learning-Enhanced Dynamic LSTM Training With Meta-Feature Extraction for Small Time-Series VOC Datasets in CKD Detection

Author(s): D. Kar, S. K. D. Mandal, T. K. Bhattacharyya

Pages: 3507 - 3519

37) Adaptive Container Characterization via Language Mapping for Video Integrity and Source Analysis

Author(s): Y. Li, Z. Zhao, J. Ye, Y. Zheng, B. Li, R. Ni, W. Wang, X. Li

Pages: 3520 - 3533

38) PPFPL: Cross-Silo Privacy-Preserving Federated Prototype Learning Against Data Poisoning Attacks

Author(s): H. Zhang, J. Yu, F. Xu, C. Hu, Y. Zhang, X. Wang, Z. Yu, X. Zhang

Pages: 3544 - 3560

39) Cascaded Neural Network-Based Assessment of Voltage Stability Margin in a Renewable-Rich Indian Power System

Author(s): K. Anthony, V. Arunachalam

Pages: 3561 - 3573

40) HFGaussian: Learning Generalizable Gaussian Human With Integrated Human Features

Author(s): A. Dey, C. -Y. Lu, A. I. Comport, S. Sridhar, C. -T. Lin, J. Martinet

Pages: 3574 - 3584

41) Behavior-Aware Global-Enhanced Neural Modeling for Sequential Set Recommendation

Author(s): Z. Deng, W. Liu, J. Li, Z. Guo, Q. Chen, J. Zhao

Pages: 3585 - 3598

42) Fully Perturbed Self-Ensemble Framework Using Cascaded Parallel CNN-Transformer for Semisupervised Medical Image Segmentation

Author(s): T. Lei, S. Wen, X. Du, Z. Yang, L. He, C. Li, Y. Wan, B. Hu, A. K. Nandi

Pages: 3599 - 3613

43) Enhancing Vision Language Models With Logic Reasoning for Situational Awareness

Author(s): P. P. Kumar, K. Kant, S. You

Pages: 3614 - 3623

44) BORCAE: Bayesian Optimized Residual Convolutional Autoencoder for Efficient Feedback Compression in RIS-Assisted Time-Varying IoT Networks

Author(s): V. K. Bhardwaj, A. Singh, S. Sharma, M. K. Shukla, O. J. Pandey

Pages: 3624 - 3630

Tuesday, June 9, 2026

IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 6, June 2026

1) FDSRM: A Feature-Driven Style-Agnostic Foundation Model for Sketch-Less Facial Image Retrieval

Author(s): Y. Liu, D. Dai, S. Xia, G. Wang

Pages: 2506 - 2520

2) Interlayer Sparse Compression-Based Deep Echo State Network Model and Its Application in Time-Series Forecasting

Author(s): Y. Wang, M. Zheng, Y. Shang, M. Yuan, H. Zhao

Pages: 2521 - 2533

3) Hyperspectral Anomaly Detection via Hybrid Convolutional and Transformer-Based U-Net With Error Attention Mechanism

Author(s): X. Wang, P. Wang, J. Cheng, D. Zhu, H. Leung, P. Gamba

Pages: 2534 - 2548

4) Robust Traffic Forecasting With Disentangled Spatiotemporal Graph Neural Networks

Author(s): T. Wang, R. Luo, D. Shi, H. Deng, S. Zhao

Pages: 2549 - 2562

5) P3L: Patent Prediction With Prompt Learning

Author(s): Y. -H. Lu, P. -Y. Lai, M. -S. Chen, H. -T. Cai, Z. -H. Wang, S. -Y. Liu, Q. -Y. Dai, C. -D. Wang

Pages: 2563 - 2576

6) Unlocking Pseudolabel Potential and Alignment for Unpaired Cross-Modality Adaptation in Remote Sensing Image Segmentation

Author(s): Z. Xu, J. Geng, W. Jiang, S. Song

Pages: 2577 - 2591

7) Model-Based Offline Reinforcement Learning With Adversarial Data Augmentation

Author(s): H. Cao, F. Feng, J. Huo, S. Yang, M. Fang, T. Yang, Y. Gao

Pages: 2592 - 2606

8) Efficient and Scalable Point Cloud Generation With Sparse Point-Voxel Diffusion Models

Author(s): I. Romanelis, V. Fotis, A. Kalogeras, C. Alexakos, A. Munteanu, K. Moustakas

Pages: 2607 - 2618

9) User Isolation Poisoning on Decentralized Federated Learning: An Adversarial Message-Passing Graph Neural Network Approach

Author(s): K. Li, Y. Liang, P. Liò, W. Ni, F. Dressler, J. Crowcroft, O. B. Akan

Pages: 2619 - 2633

10) Diverse Semantic Image Editing With Style Codes

Author(s): H. Sivuk, A. Dundar

Pages: 2634 - 2643

11) Mutually Guided Fusion Learning for Collaborative Camouflaged Object Segmentation

Author(s): C. Li, X. Luan, L. Liu, Y. Su, Y. Fu, W. Li

Pages: 2644 - 2657

12) Evaluating Large Language Models on Named Entity Recognition

Author(s): B. Ji, H. Liu, S. Li, J. Ma, J. Yu, S. -K. Ng

Pages: 2658 - 2672

13) Population Historical Information-Driven Evolutionary Multitask Neural Architecture Search

Author(s): K. Yu, H. Tang, J. Liang, C. Li, M. Yu

Pages: 2673 - 2687

14) Fractional Gradient Descent With Matrix Stepsizes for Non-Convex Optimization

Author(s): A. Mazumder, K. Vyas, P. Rathore

Pages: 2688 - 2699

15) A Refreshed Similarity-Based Upsampler for Direct High-Ratio Feature Upsampling

Author(s): M. Zhou, H. Wang, Y. Zheng, D. Meng

Pages: 2700 - 2714

16) Beyond Implicit Mapping: Advancing Generative Models Through Smoothed Optimal Transport

Author(s): S. Li, L. Jin, Z. Wang, Z. Xu, N. Lei, Z. Luo

Pages: 2715 - 2728

17) Deep Unfolding of Tail-Based Methods for Robust Sparse Recovery Under Noise and Model Mismatch

Author(s): Y. Kvich, P. Reshma, P. Pradhan, R. Randhi, Y. C. Eldar

Pages: 2729 - 2741

18) Rethinking Decoupled Knowledge Distillation: A Predictive Distribution Perspective

Author(s): B. Zheng, R. Cheng

Pages: 2742 - 2756

19) SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning

Author(s): Q. Zhan, J. Cao, X. Xie, H. Tang, M. Zhang, S. Yang, G. Liu

Pages: 2757 - 2769

20) Adaptive Boosting LLMs for Text Classification

Author(s): M. Wang, Y. Zhang, C. Ren, Q. Li, P. Tiwari, B. Wang, J. Qin

Pages: 2770 - 2781

21) Neural Machine Unranking

Author(s): J. Hou, A. Finke, G. Cosma

Pages: 2782 - 2793

22) The Most Overestimated Q Value Regularization in High-Dimensional Discrete Action Spaces for Offline Reinforcement Learning

Author(s): S. Yu, H. Park, B. Ko, J. Shin, Y. Hong, T. Park, J. -W. Yoon

Pages: 2794 - 2808

23) DuaDiff: Dual-Conditional Diffusion Model for Guided Thermal Image Super-Resolution

Author(s): L. Shi, G. Wu, Y. Wang, Y. Liu, T. Chai

Pages: 2809 - 2823

24) Improved Knowledge Distillation Based on Global Latent Workspace With Multimodal Knowledge Fusion for Understanding Topological Guidance on Wearable Sensor Data

Author(s): J. Hong, E. S. Jeon, M. P. Buman, P. Turaga, T. P. Pavlic

Pages: 2824 - 2838

25) Spurious Local Minima Provably Exist for Deep CNNs: Theory and Application

Author(s): B. Liu, K. Fu, T. Yuan, S. Geng

Pages: 2839 - 2853

26) Dynamics of Q-Learning in Networked Stochastic Games

Author(s): Z. Yuan, G. Jiang, S. Hu, M. Perc, C. Chu, J. Liu

Pages: 2854 - 2868

27) Enhancing PPO With Trajectory-Aware Hybrid Policies

Author(s): Q. Liu, Z. Jiang, H. -J. Yang, M. Khosravi, J. R. Waite, S. Sarkar

Pages: 2869 - 2883

28) Source-Free Time-Series Domain Adaptation With Prior Evaluation of Model Salience

Author(s): R. Cai, M. Jin, Q. Wen, K. Zhang, Y. Liu

Pages: 2884 - 2898

29) AFoCo: Ambiguous Focus and Correction for Semi-Supervised Medical Image Segmentation

Author(s): G. Hu, F. Zhao, E. H. Houssein

Pages: 2899 - 2913

30) TGMN: Two-Stage Graph Convolutional Mamba Network for Hyperspectral Image Classification

Author(s): Y. Chu, J. Cao, J. Xia, W. Ding

Pages: 2914 - 2928

31) Adaptive Frequency-Based Constructive Wavelet Neural Network for Nonlinear Dynamic Systems

Author(s): D. Huang, D. Shen, L. Lu, Y. Tan

Pages: 2929 - 2943

32) MtvTrack: Robust Visual Tracking via Modeling Time-Variant State of the Target

Author(s): J. Zhao, M. Jia, L. Guo, X. Han, D. Niu

Pages: 2944 - 2958

33) SynC: Synergistic Boosting of Structure and Representation for Deep Graph Clustering

Author(s): S. Ding, B. Wu, X. Xu, L. Ding, X. Wu

Pages: 2959 - 2968

34) Reinforcement Learning-Based Optimal Formation Tracking for UAVs With Safety Constraints

Author(s): P. Wang, C. Yu, F. Deng, J. Chen

Pages: 2969 - 2982

35) Space–Frequency Cross-Attention Node Feature Optimization Graph Neural Operator for Partial Differential Equations

Author(s): P. Bie, N. Song, N. Zhang, J. Nie, M. Ye, X. Liang, Q. Wen

Pages: 2983 - 2993

36) Fine-Grained Visual Classification via Adaptive Attention Quantization Transformer

Author(s): S. Qiao, S. Li, H. Zheng

Pages: 2994 - 3008

Monday, June 8, 2026

IEEE Transactions on Fuzzy Systems, Volume 34, Issue 6, June 2026

1) Granular-Ball Subspace-Based Fuzzy Neighborhood Anomaly Detector

Author(s): S. Wang, X. Su, D. Peng, X. Peng, H. Chen, Y. Chen, Z. Yuan

Pages: 1731 - 1743

2) Domain-Adaptive Fuzzy Graph Diffusion Networks for Open-Set Cross-Domain Node Classification

Author(s): S. Fu, Y. Chen, S. Peng, W. Ou, L. Ning, B. Zou, Q. Peng, X. -Y. Jing, X. You

Pages: 1744 - 1757

3) Resilient Secondary Frequency Control for Islanded Microgrids via a SSA-Optimized Multi-Instant Adaptive Cooperative Deployment Scheme

Author(s): Y. Shan, J. Sun, G. Fan, Z. Ming

Pages: 1758 - 1767

4) VRF: Variance-Redistribution-Driven Fuzzy Rule Interpolation for TSK Models

Author(s): C. Jiang, C. Shang, Q. Shen

Pages: 1768 - 1777

5) A Switching-Like Dynamic Event-Triggered Sliding Mode Control for T–S Fuzzy Singular Markov Jump Systems Under Hybrid Cyber-Attacks

Author(s): Z. Li, S. Yu, Y. Yan, Y. Zhao

Pages: 1778 - 1790

6) Adaptive Robust Control for Underactuated Bipedal Parallel Wheel-Legged Robots: A Nash Game-Based Constraint Following Approach

Author(s): H. Zhong, H. Zhang, S. Zhen, H. Sun, X. Chen, X. Liu, Y. -H. Chen

Pages: 1791 - 1803

7) ADMSFI: Anomaly Detection Based on Multisequence Fuzzy Feature Interaction

Author(s): Z. Deng, Z. Li, D. Deng, Z. Zheng, G. Li, T. Li

Pages: 1804 - 1817

8) On the Crucial Role of Antecedent–Consequent Structure Selection in LMI-Based PDC Control of TS Fuzzy Systems

Author(s): P. Baranyi

Pages: 1818 - 1832

9) Deep-Q-Learning-Based Proportional-Integral Event-Triggered Fuzzy Output Control of Variable Speed AGVs via Proportional-Integral Observer

Author(s): S. Yan, X. Hu, J. H. Park

Pages: 1833 - 1843

10) Fuzzy-LFS: A Novel Localized Feature Selection With Fuzzy Region Division and Local Neighborhood Rough Set for Classification

Author(s): J. Huang, Y. Zhou, M. Jia, G. Lyu, Q. Zhang, S. Kwong

Pages: 1844 - 1858

11) A Fuzzy Decision-Making Strategy for Drilling Operating Parameters Considering Formation Hardness and Frictional Resistance in Underground Coal Mines

Author(s): X. Yang, M. Wu, C. Lu, A. Yang, S. Chen, Y. Wang, Q. Li, Y. Zhang

Pages: 1859 - 1868

12) PRFCM: Poisson-Specific Residual-Driven Fuzzy $C$-Means Clustering for Image Segmentation

Author(s): C. Wang, S. Jiang, Y. Yuan, J. Jing, M. Zhou, W. Pedrycz

Pages: 1869 - 1883

13) Nonmonotonic Causal Discovery With Kolmogorov–Arnold Fuzzy Cognitive Maps

Author(s): J. L. Salmeron

Pages: 1884 - 1892

14) FuzzyCam: A Class Activation Image Generation Method Based on Fuzzy Impulse Detection

Author(s): X. Zhicheng, L. Ming, W. Junjie, Y. Shengze, C. Siwei

Pages: 1893 - 1907

15) FFGSM: A Novel Fuzzy Logic-Based FGSM Attack for Deep Neural Networks Vulnerability Assessment

Author(s): O. Liouane, S. Messaoud

Pages: 1908 - 1921

16) Synchronization Control of Uncertain Fractional-Order Nonlinear Multiagent Systems via Fuzzy Regularization Reinforcement Learning

Author(s): Q. Kang, J. Xu, D. Yu, Z. Wang, C. L. P. Chen

Pages: 1922 - 1934

17) Convergence Conditions for Sigmoid-Based Fuzzy General Gray Cognitive Maps: A Theoretical Study

Author(s): X. Gao, X. Gao, J. Rong, X. Li, Y. Niu, J. Chen

Pages: 1935 - 1948

18) Distributed Formation Control for Second-Order Nonlinear Multiagent Systems Using Predictor-Based Accelerated Fuzzy Learning

Author(s): J. Miao, J. Liu, L. Zha, E. Tian, C. Peng

Pages: 1949 - 1960

19) A Modern Quadratic Trapezoidal Fuzzy Framework for Meticulous Blood Cell Sectionalization and Discernment

Author(s): C. A. J, J. Murugan

Pages: 1961 - 1971

20) iFuzz-Meta: An Interpretable Fuzzy Learning Framework Bridging Top-Down and Bottom-Up Knowledge Integration

Author(s): X. Jiang, D. Leong, B. Cao, N. Zhou, Y. Ren, Y. -C. Chang, T. Do, C. -T. Lin

Pages: 1972 - 1985

21) Fuzzy Logic Control System-Assisted Operator Selection for Constrained Multiobjective Optimization

Author(s): Y. Wang, C. Hu, X. Chu, X. Wu, W. Gong, X. Yan, L. Gao

Pages: 1986 - 2000

22) Adaptive Event-Triggered Control for Limited-Time Bipartite Synchronization of T–S Fuzzy Memristive Neural Networks and Applications for PCMS

Author(s): X. Huang, S. Chen, Z. Zhang, J. Guan

Pages: 2001 - 2013

23) Fusing Interval Type-2 Fuzzy Logic With Bidirectional RNNs for Uncertainty-Aware Time Series Forecasting

Author(s): X. Yu, H. Zhang, M. Yang, Y. Xu, L. Mu, D. Li

Pages: 2014 - 2026

24) DA-TSK-PLR-FS: Domain Adaptive Takagi–Sugeno–Kang Fuzzy System via Pseudolabel Refinement for CCTA-Based Vulnerable Coronary Plaques Recognition

Author(s): Y. Zhang, W. Zhang, X. Zhang, Z. Huang, S. Huang, S. Lam, G. Ren, S. Wang, J. Cai

Pages: 2027 - 2041

25) Sampled-Data Event-Triggered Adaptive Fuzzy Bipartite Consensus for Fractional-Order Multiagent Systems With Unmeasurable States

Author(s): Q. Wang, Y. Pan, J. Cao, H. Liu

Pages: 2042 - 2055

26) Membership Deviation-Aware Attack Scheduling Mechanism and Its Secure Defense for Mining Truck Suspension Systems: Mode-Correlated Polynomial Framework and HIL Validation

Author(s): J. Wang, X. Xie

Pages: 2056 - 2067

27) Disturbance Observer-Based Adaptive Finite-Time Singular Perturbation Constrained Control for Flexible Joint Manipulators

Author(s): Y. Ma, Q. -G. Wang, J. Liu, C. Fu, J. Yu

Pages: 2068 - 2074

28) Correction to “Fixed-Time Fuzzy Control of Uncertain Robots With Guaranteed Transient Performance”

Author(s): C. Zhu, C. Yang, Y. Jiang, H. Zhang

Pages: 2075 - 2076

Friday, May 29, 2026

Weekly Review 29 May 2026

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

AI generated legal filings threaten to overwhelm courts and cause legal costs to explode: https://futurism.com/artificial-intelligence/mit-expert-ai-generated-lawsuits-spike
The data centres used by AI are increasingly unpopular with the people living in the areas they are built: https://www.extremetech.com/computing/the-ai-industry-is-failing-to-make-its-case-to-the-neighborhoods-its-trying
Replacing public servants with AI is going to cost New Zealand a lot of money, maybe more than cutting jobs will save: https://www.rnz.co.nz/news/political/595847/replacing-public-servants-with-ai-could-come-with-hidden-costs-critics-warn
Speech and language processing with AI is going to make shared offices even more unbearable: https://www.computerworld.com/article/4175881/ai-will-kill-the-skill-of-typing.html
Network upgrades are an important part of an organisation preparing for AI: https://www.informationweek.com/it-infrastructure/is-your-network-infrastructure-ready-for-ai-workloads-
AI washing of products and services continues: https://www.theguardian.com/technology/2026/may/24/ai-washing-pr-firms-scrambling-rebrand
AI generated code is causing more failures and rising costs for customers: https://www.theregister.com/ai-ml/2026/05/20/ai-code-boom-drives-production-failures-higher-spending/5243787
The first AI Maori speech model was developed by the late Mark Laws in the late 90s. Almost 30 years later, they are still being improved: https://spectrum.ieee.org/indigenous-ai-voice-models-maori
Don't use AI to create your legal submissions. It won't end well: https://arstechnica.com/tech-policy/2026/05/legal-fail-dont-use-ai-to-sue-facebook-users-for-calling-you-a-bad-date/
Use AI to create jobs and assist your workers, not replace them: https://www.stuff.co.nz/nz-news/360982091/open-letter-nicola-willis-ai-should-create-jobs-not-cut-them
Watermarking technologies for AI generated media are gaining traction: https://arstechnica.com/google/2026/05/googles-synthid-ai-watermarking-tech-is-being-adopted-by-openai-nvidia-and-more/
If the New Zealand government wants to start replacing public servants with AI, they should really have a good idea of what AI can do: https://www.stuff.co.nz/politics/360981025/government-wants-replace-8700-public-servants-ai-heres-what-ministers-think-robots-do
Slow down, you don't need to rush to bring AI into your organisation: https://www.theregister.com/ai-ml/2026/05/17/enough-with-the-ai-fomo-go-slow-mo-says-domo-cdo/5240840
AI coding agents are going to devastate the web dev industry: https://www.devclass.com/devops/2026/05/22/web-devs-sleeping-with-the-enemy-ai-is-doing-their-job-and-they-worry-its-after-their-desk-too/5244552
A significant portion of Britain's population think AI, especially AI-caused lob losses, will lead to civil unrest: https://www.theregister.com/ai-ml/2026/05/19/1-in-5-brits-think-ai-layoffs-could-trigger-civil-unrest/5242444
University students are using AI more, employers want graduates with AI skills, and students are anxious about the effect AI is having on the job market: https://www.insidehighered.com/news/student-success/life-after-college/2026/05/22/3-takeaways-ai-and-entry-level-jobs
The move towards open source AI for robots: https://spectrum.ieee.org/open-source-robot-ai-platforms
An overview of what AI tokens are: https://www.computerworld.com/article/4175277/the-world-of-ai-tokens-and-why-they-matter.html
Five things you can do with a local LLM AI: https://www.kdnuggets.com/5-cool-things-i-did-with-local-language-models
Academics shouldn't be using AI to do any part of their papers, let alone complain that they now have to check what it generates: https://futurism.com/artificial-intelligence/academics-meltdown-ai-hallucinations-research
Developments in using AI for drug development: https://arstechnica.com/science/2026/05/two-ai-based-science-assistants-succeed-with-drug-retargeting-tasks/
Open AI models are becoming more important: https://www.computerworld.com/article/4172545/why-open-ai-models-are-gaining-ground-on-llms.html
Gen Z is skeptical of AI, and this is a problem for recruitment: https://www.informationweek.com/machine-learning-ai/gen-z-is-booing-ai-why-it-s-a-workforce-problem-for-cios
AI is producing unrealistic expectations around cosmetic surgery: https://www.theguardian.com/technology/2026/may/23/rise-in-plastic-surgeons-asked-to-create-ai-face-cosmetic-surgery
AI companies are following the example of tobacco and oil companies, and attempting to control the regulatory process: https://www.theregister.com/ai-ml/2026/05/18/big-ai-is-subverting-regulations-just-like-tobacco-and-oil-firms/5241910
Starbucks is scrapping its AI inventory tool after serious failures: https://dataconomy.com/2026/05/22/starbucks-ai-inventory-tool-scrapped/
The tech debt of AI generated code is building up, and developers are going to bear the pain of it: https://www.theregister.com/ai-ml/2026/05/16/ai-generated-code-is-pain-waiting-to-happen/5241574

IEEE Transactions on Emerging Topics in Computational Intelligence Volume 10, Issue 3, June 2026

1) Quantum Reachability Games

Author(s): W. Liu, Z. Li, Y. Li

Pages: 2184 - 2198

2) Learning Informative Latent Representation for Quantum State Tomography

Author(s): H. Ma, Z. Sun, D. Dong, D. Gong

Pages: 2199 - 2209

3) Automatic and Effective Discovery of Quantum Kernels

Author(s): M. Incudini, D. L. Bosco, F. Martini, M. Grossi, G. Serra, A. D. Pierro

Pages: 2210 - 2219

4) Memory-Based Deep Reinforcement Learning for Quantum Control With Partial Observations

Author(s): H. Yu, Q. Yu, C. Chen, X. Zhao

Pages: 2220 - 2234

5) A Generic and Robust Agent to Accomplish Quantum Control Tasks

Author(s): S. Zhang, Z. Miao, Q. Zhang, X. Yi

Pages: 2235 - 2244

6) MGL-FBLS: Multi-Granularity Label-Driven Feature Enhanced Broad Learning System for Semi-Supervised Classification

Author(s): Z. Shi, Y. Luo, X. Liu, L. Chen, W. Ding, X. Zhong, Z. Wu, C. L. Philip Chen

Pages: 2245 - 2259

7) Self-Adaptive Differential Evolution-Enhanced Quality-Diversity Optimization for Distributed Flexible Job-Shop Scheduling With Transportation

Author(s): H. Qin, Y. Xiang, Y. Han, Y. Wang, C. Wu, F. Feng

Pages: 2260 - 2275

8) Efficient Evolutionary Neural Architecture Search Using Reliable Fitness Evaluations for Image Classification

Author(s): G. Yuan, B. Xue, M. Zhang

Pages: 2276 - 2290

9) Homophone-Based Chinese Natural Language Data Augmentation

Author(s): J. Wei, X. Zhang, W. Pedrycz, L. Wang, W. Ding, X. Qian

Pages: 2291 - 2300

10) Spatiotemporal Traffic Speed Forecasting via Conditional Flow-Based Generative Deep Learning With Dynamic Graph Pooling

Author(s): M. Khodayar, A. F. Bavil, M. Saffari

Pages: 2301 - 2315

11) MLF-CAST: Multi-Loop Spatio-Temporal Fusion With Cross-Attention for Explainable Triple-Modal MCI-AD Classification

Author(s): H. Kuai, Y. Cao, J. Ji, S. Wang, J. Yan, N. Zhong

Pages: 2316 - 2331

12) Interpretable and Adaptive Graph Contrastive Learning With Information Sharing for Biomedical Link Prediction

Author(s): J. Liu, L. Zhang, Y. Ding, P. Tiwari, X. Guo, W. Ding

Pages: 2332 - 2347

13) Deep Reinforcement Learning-Assisted Automated Operator Portfolio for Constrained Multi-Objective Optimization

Author(s): S. Shao, Y. Tian, S. Yang, X. Zhang

Pages: 2348 - 2360

14) Spatio-Temporal Series Prediction Based on Multi-Objective Evolutionary Deep Convolutional Echo State Networks

Author(s): M. Xu, L. Tang, L. Chen

Pages: 2361 - 2375

15) A Two-Stage Learning Guided Multi-Objective Evolutionary Algorithm for Task Offloading in Edge Computing

Author(s): S. Huang, F. Wang, J. Wang, B. Li

Pages: 2376 - 2390

16) Neighbor-Embedded Graph Neural Network-Based Crowd Delivery Traffic Management in Smart City

Author(s): K. Gupta, D. Saxena, A. K. Singh, C. -N. Lee

Pages: 2391 - 2403

17) SpikeSMOKE: Spiking Neural Networks for Monocular 3D Object Detection with Cross-Scale Gated Coding

Author(s): X. Chen, H. Wang, J. Peng, H. Shen, S. Duan, S. Wen, T. Huang

Pages: 2404 - 2415

18) Advancing Privacy and Accuracy With Federated Learning and Homomorphic Encryption

Author(s): Q. B. Phan, D. C. Nguyen, T. T. Doan, T. T. Nguyen

Pages: 2416 - 2428

19) Equilibrium Contrastive Learning for Imbalanced Image Classification

Author(s): S. Roh, H. Kim, H. Y. Lee, I. Y. Chun

Pages: 2429 - 2442

20) Taming Language Models for Predicting Stock Price With Causality Guidance

Author(s): Y. Luo, J. Zheng, N. Chen, D. Wu

Pages: 2443 - 2455

21) Privacy-Preserving Against Gradients Leakage Attacks via Joint Differential Privacy in Federated Learning

Author(s): Y. Yang, J. Li, X. Zhang

Pages: 2456 - 2470

22) Non-Negative Gated Recurrent Neural Networks

Author(s): L. Avramelou, M. Kirtas, N. Passalis, N. Pleros, A. Tefas

Pages: 2471 - 2481

23) Efficient HDR Reconstruction From Real-World Raw Images

Author(s): Q. Yang, Y. Liu, Q. Cheng, H. Yue, K. Li, J. Yang

Pages: 2482 - 2497

24) Weak-Strong Consistency Learning via Collaborative Space Alignment for Semi-Supervised Medical Image Segmentation

Author(s): P. Lv, Y. Wang, M. Liu, L. Liu, J. Wang, W. Shen, B. Cao, E. Meijering

Pages: 2498 - 2515

25) Design and Analysis of an Inverse-Free Zeroing Neural Network Model for Matrix Decomposition

Author(s): Y. Yang, S. Li, P. Wu, W. Feng

Pages: 2516 - 2528

26) EAUWSeg: Eliminating Annotation Uncertainty in Weakly-Supervised Medical Image Segmentation

Author(s): L. Wang, L. Zhang, Y. Wang, Z. Wang, Z. Zhang, Z. Yi

Pages: 2529 - 2540

27) Multi-Population Ensemble Genetic Programming via Cooperative Coevolution and Multi-View Learning for Classification

Author(s): M. S. Khorshidi, N. Yazdanjue, H. Gharoun, M. R. Nikoo, F. Chen, A. H. Gandomi

Pages: 2541 - 2554

28) De-Identification Neural Network for Privacy Protection in Fingerprinting Localization

Author(s): C. Guo, F. -J. Hwang, C. -H. Chen, C. -C. Chang, C. -C. Chang

Pages: 2555 - 2565

29) MinoClust: Exploiting Minority Sub-Cluster Dynamics for Classification in Imbalanced and Drifting Data Streams

Author(s): H. Farooq, M. Usman, R. Bai, H. Chen

Pages: 2566 - 2581

30) An Information Theoretical Multi-View Clustering With Graph Structural Information Distance

Author(s): M. Zhang, Q. Zang, X. Ma

Pages: 2582 - 2595

31) Efficient Medical Image Segmentation via Reinforcement Learning-Driven K-Space Sampling

Author(s): Y. Li, H. Zeng, F. Zhang, C. Yang, Y. Li, W. Ding

Pages: 2596 - 2609

32) A Deep Learning Approach for Gain-Scheduled PID Control Design via Advanced Supervisory Controllers

Author(s): E. Atam, A. Zeybek, Ş. B. Özateş, N. Güzelkaya

Pages: 2610 - 2623

33) Improved Weakly Supervised Logo Detection Using Semantic Domain Adaptation and Regularization

Author(s): R. K. Jain, T. Sato, X. Ruan, Y. -W. Chen

Pages: 2624 - 2640

34) Large-Scale Sparse Multi-Objective Optimization via Customized Individual Learning

Author(s): C. Qian, W. Du, M. Tian, Y. Tang, Y. Jin

Pages: 2641 - 2656

35) Mental Stress Recognition Based on Multimodal Representation Learning of Heart–Brain Interactions

Author(s): Q. Yao, H. Gu, S. Wang, X. Li

Pages: 2657 - 2669

36) Particle Swarm Optimization for Automated Design of Reversible Residual Neural Networks for Turntable Servo Systems

Author(s): C. Xie, B. Xue, M. Zhang, Q. Shi, S. Chen

Pages: 2670 - 2681

37) Learning-Observer-Guided Decentralized Control of State-Unknown Interconnected Systems: Enabling Estimation-Aware Self-Triggered Transmission

Author(s): J. Ke, J. Liu, B. Hu, Y. Cui, K. Sun

Pages: 2682 - 2695

38) SGC-Net: A Segmentation-Guided Network for Concise Multi-Agent Key Event Captioning in First-Person Traffic Scenes With the TSEC Dataset

Author(s): P. Hao, C. Liu, F. Chang, W. Wang, J. Zhou, Y. Huang

Pages: 2696 - 2711

39) Exclusive Lasso Assisted Two-Stage Fuzzy-Rough Feature Selection

Author(s): Y. Qu, Y. Tan, L. Qiu, L. Yang, C. Shang, Q. Shen

Pages: 2712 - 2724

40) EMT-DAKT: Evolutionary Multi-Objective Multi-Task Optimization Algorithm Using Deep Models With Adaptive Knowledge Transfer

Author(s): T. Li, H. Ma, Y. Qian, Z. -H. Zhan

Pages: 2725 - 2739

Friday, May 22, 2026

Weekly Review 22 May 2026

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

The hardware demand from the AI boom is causing industrial relations problems for Samsung: https://www.rnz.co.nz/news/world/595429/at-samsung-the-global-ai-boom-spurred-a-looming-strike-and-deep-divisions
Even at a so-called "elite" institution like Princeton, 30% of students are using AI to cheat: https://arstechnica.com/tech-policy/2026/05/ai-driven-cheating-widespread-even-at-elite-schools-like-princeton/
The New Zealand Defence Force really should have worked out how it was going to use AI before it rolled AI out across the entire organisation: https://www.rnz.co.nz/news/science-and-technology/594967/nzdf-still-drafting-ai-directive-months-after-rolling-out-tech
The explosion in AI use has had a commensurate explosion in the use of AI to attack systems: https://www.theguardian.com/technology/2026/may/11/ai-powered-hacking-industrial-scale-threat-three-months-google
Writing students seem to see AI as a tool to help them write, rather than a cheating tool: https://www.theguardian.com/us-news/ng-interactive/2026/may/10/fiction-writing-professor-ai
The New Zealand government's approach to AI is too trusting of the AI companies: https://www.rnz.co.nz/news/political/594827/polyanna-policy-is-nz-s-framework-for-ai-use-in-government-overly-optimistic
It's not just huge amounts of energy that gets consumed by AI, it's fresh water too: https://arstechnica.com/tech-policy/2026/05/data-center-used-30-million-gallons-of-water-without-initially-paying/
Using AI to create "new works" by a long-dead classic author is misleading at best-it's not the author's work, it's a guess by a machine with no soul: https://www.theguardian.com/stage/2026/may/11/moliere-ex-machina-ai-create-new-work-france-equivalent-shakespeare
The lack of regulation around AI kids' toys is concerning: https://arstechnica.com/ai/2026/05/the-new-wild-west-of-ai-kids-toys/
I feel that an AI-enabled mouse pointer might be taking things a bit too far: https://www.theregister.com/software/2026/05/13/googles-ai-enabled-mouse-pointer-understands-this-and-that/5240005
I tell my first-year AI students that bad data gives you a bad model. I didn't think it'd go this far though: https://arstechnica.com/ai/2026/05/anthropic-blames-dystopian-sci-fi-for-training-ai-models-to-act-evil/
While AI enables more attacks, it also finds more vulnerabilities for vendors to patch: https://www.theregister.com/patches/2026/05/14/welcome-to-the-vulnpocalypse-as-vendors-use-ai-to-find-bugs-and-patches-multiply-like-rabbits/5240027
AI can design gardens, but I don't think they're going to be very good: https://www.theguardian.com/lifeandstyle/2026/may/13/chelsea-flower-show-garden-designers-clash-over-ai
Distributing AI data centres to individual houses seems like a good idea. It might be even more efficient if they used the waste heat to heat the hot water: https://arstechnica.com/ai/2026/05/the-newest-ai-boom-pitch-host-a-mini-data-center-at-your-home/
I don't think we can trust AI enough just yet to let them run even a micronation: https://www.rnz.co.nz/news/world/595412/he-declared-a-new-country-governed-by-ai-he-s-not-sure-it-will-end-well
Almost 75% of AI customer server bot roll-outs fail, mostly because they don't meet expectations: https://www.theregister.com/ai-ml/2026/05/13/ai-customer-service-bots-get-rolled-back-at-74-of-firms/5239800
An AI Wikipedia clone that openly hallucinates everything: https://futurism.com/artificial-intelligence/deranged-wikipedia-clone-made-entirely-of-ai-hallucinations Note, not intended to actually be an encyclopedia.
AI is now involved in the majority of security breaches: https://www.extremetech.com/internet/ai-is-involved-in-most-modern-security-breaches-report
Meta has fired so many of its workers because of AI that morale has collapsed: https://futurism.com/artificial-intelligence/mark-zuckerberg-treating-workers-poorly
A lot of AI training is being done by people that have been made homeless by AI: https://futurism.com/artificial-intelligence/ai-industry-homeless
Coding is like every other skill, if you don't keep using it you lose it. So using AI to write code for you degrades your coding skill: https://futurism.com/artificial-intelligence/engineers-losing-coding-ability-ai
An MCP server that allows AI to fact-check: https://www.theregister.com/ai-ml/2026/05/13/see-through-local-ai-lies-with-irish-eyes/5239911
If you make AI use one of your employee's KPI, then they will maximise their usage of AI whether it makes sense or not: https://arstechnica.com/ai/2026/05/amazon-employees-are-tokenmaxxing-due-to-pressure-to-use-ai-tools/
The newest bottleneck in using AI is Wi-Fi speed: https://spectrum.ieee.org/wi-fi-enterprise-networks

Friday, May 15, 2026

Weekly Review 15 May 2026

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

Replacing people with AI is not generating meaningful returns: https://www.theregister.com/ai-and-ml/2026/05/06/ai-layoffs-backfire-as-cutting-staff-doesnt-cut-it-firms-warned/5230631
Good leadership is vital to make an organisation AI native: https://www.techtarget.com/searchcio/news/366642764/Enterprises-are-making-an-AI-native-transformation
Some suggested safeguards for AI to protect users' mental health: https://spectrum.ieee.org/mental-health-chatbot-guardrails
What are the trade-offs of building AI data centres in a country like New Zealand: https://www.rnz.co.nz/news/science-and-technology/594416/nz-s-ai-data-centre-boom-who-benefits-from-the-build-out
AI generated podcasts are starting to drown out new human created ones: https://www.extremetech.com/internet/aigenerated-podcasts-now-comprise-over-a-third-of-new-shows
If perfectly aligning AI with human goals is impossible, it might be better to have a diversity of AI: https://spectrum.ieee.org/ai-alignment
The more an AI considers its user's feelings, the more likely it is to make a mistake: https://arstechnica.com/ai/2026/05/study-ai-models-that-consider-users-feeling-are-more-likely-to-make-errors/
Why we need to be careful not to over-hype the potential for AI to cure cancer: https://spectrum.ieee.org/can-ai-cure-cancer-javorsky
The good and bad of recursive self improvement in AI: https://spectrum.ieee.org/recursive-self-improvement
CEO feel they must make a choice: https://futurism.com/artificial-intelligence/ceos-ai-two-decisions
Outputs of AI need to be checked by humans, especially if you're going to be fining people: https://www.stuff.co.nz/nz-news/360975651/man-wrongly-fined-twice-parking-companys-ai-powered-cameras-takes-fight-commerce-commission
C++ developers are using AI more: https://www.theregister.com/devops/2026/05/07/c-survey-finds-ai-use-rising-though-trust-is-in-short-supply/5234708
The problem with so much AI being based in the cloud is that sensitive data can end up in places where it's not safe: https://www.theguardian.com/technology/2026/may/07/europe-ai-translation-industry-deepl-partnering-us-firms
Some ways people have used AI in fitness and health, and their reactions: https://www.theguardian.com/wellness/2026/may/06/ai-fitness-health-programs
Companies that use AI to reduce headcount are doing no better than companies that do not: https://www.computerworld.com/article/4167140/ai-led-job-cuts-dont-always-mean-stronger-roi-gartner.html
It's faster and cheaper to use an API to process web pages compared to using an AI: https://www.theregister.com/ai-and-ml/2026/05/07/ai-vision-agents-use-45x-more-tokens-than-apis-in-benchmark/5231346
While AI can in theory copy themselves to escape control, they are not yet able to do so: https://www.theguardian.com/technology/2026/may/07/no-one-has-done-this-in-the-wild-study-observes-ai-replicate-itself
Yet another lawsuit over the use of copyrighted works to train AI: https://dataconomy.com/2026/05/06/publishers-accuse-meta-of-massive-copyright-infringement/
AI is making IT projects more complicated and harder to track: https://www.informationweek.com/machine-learning-ai/as-ai-makes-projects-harder-to-track-will-cios-need-new-controls-
Using AI to power a robot pet for adults: https://spectrum.ieee.org/familiar-machines-and-magic
The people most excited about AI are the ones making money out of it. Everyone else is quite distrustful: https://futurism.com/artificial-intelligence/ai-perception-underclass
AI generated identity fraud is reducing trust in business: https://www.rnz.co.nz/news/business/594423/ai-generated-identity-fraud-reported-by-more-than-half-of-businesses-report
The over-spending on AI is raising substantial financial risks: https://www.theguardian.com/business/2026/may/06/global-finance-watchdog-warns-over-private-credit-industry-fuelling-ai-boom
Even smart people can be fooled into thinking AI are conscious: https://www.theguardian.com/technology/2026/may/05/richard-dawkins-ai-consciousness-anthropic-claude-openai-chatgpt

Tuesday, May 12, 2026

Soft Computing, Volume 30, Issue 5, May 2026

1) Fuzzy congruences and ideals on basic algebras

Author(s): Jing Wang, Qiuyan Zhan, Yichuan Yang

Pages: 2983 - 2989

2) Quantum-like imprecise probabilities

Author(s): Andreas Wichert

Pages: 2991 - 3007

3) Complex zeros of independent domination polynomials of zero divisor graphs

Author(s): Bilal Ahmad Rather

Pages: 3009 - 3022

4) APV-based digital forensics analysis with cloud storage and migration using GMNPR-QBNN

Author(s): B. Judy Flavai, R. M. R. Shamija Sherryl, R. Swathi

Pages: 3023 - 3038

5) Decoding nutrition and health issues related to diet in India using complex q-Rung orthopair fuzzy graphs with Hamacher operators

Author(s): S. N. Suber Bathusha, Ganesh Ghorai

Pages: 3039 - 3067

6) ANFIS-based output power estimation in photovoltaic cells using electroluminescence image features

Author(s): Hector Felipe Mateo-Romero, Mario Eduardo Carbonó de la Rosa, Adalberto José Opsino Castro

Pages: 3069 - 3086

7) Poisson inverse Gaussian Liu-type estimator: a comparative study with Monte Carlo simulation

Author(s): Melike Işılar, Y. Murat Bulut

Pages: 3087 - 3098

8) A novel data normalization technique based on a piecewise continuous, symmetric function with tanh-transformation

Author(s): Mannat Mand, Birmohan Singh, Vijay Kumar Kukreja

Pages: 3099 - 3141

9) Lake surface area forecasting using integrated satellite-SARIMA-long-short-term memory model

Author(s): Keyvan Soltani, Arash Azari, Hossein Bonakdari

Pages: 3143 - 3165

10) Family of linear regression mixture models stratified along the outcome

Author(s): Rodolphe Priam

Pages: 3167 - 3180

11) Advancement in optimization using Simulated Annealing Algorithm and ANFIS to minimize delamination during drilling Chopped Strand Mat GFRP

Author(s): Raghuraman Srinivasan, Panneerselvam Thangavel, Monica Panneerselvam

Pages: 3181 - 3193

12) Green dual-channel supply chain under revenue and cost sharing contract: supply-side uncertainty and outsourcing considerations

Author(s): Melika Mousavi, Jafar Heydari, Mohammad Sheikhalishahi

Pages: 3195 - 3218

13) Two deterministic algorithms for finding the first zero-crossing point of a multiextremal function

Author(s): Mikhail Posypkin, Yaroslav Sergeyev, Zhongqi Wu

Pages: 3219 - 3239

14) An Enhanced Packet Transmission framework for handling Real-Time Burst Traffic in Wireless Sensor Networks

Author(s): G. Sangeetha, M. Vijayalakshmi

Pages: 3241 - 3257

15) Development and application of Aczel–Alsina-based aggregation operators for type-2 neutrosophic numbers in multiple-attribute decision-making

Author(s): Karahan Kara, Galip Cihan Yalçın, Dragan Pamucar

Pages: 3259 - 3278

16) A three-way decision model based on cumulative prospect theory under nested probabilistic linguistic term set

Author(s): Bing-Qian Xie, Hai-Long Yang, Zhi-Lian Guo

Pages: 3279 - 3300

17) PSO meets LSTM: adaptive forecasting of NYSE stock prices with volatility-aware performance

Author(s): Brandon Jeremy Nader, Elissa Lichaa El Khoury, Danielle Azar

Pages: 3301 - 3324

18) A PCC-based consensus reaching model in group decision making with non-reciprocal pairwise comparison matrices

Author(s): Fang Liu, Ji-Ting Mo, Jing Wen

Pages: 3325 - 3342

19) Game-theoretic analysis of centralized and decentralized supply chain strategies with imperfect products and price-sensitive demand under trade credit

Author(s): Shruti Mahato, Dipak Barman, Gour Chandra Mahata

Pages: 3343 - 3368

20) MTMC: a scheduling framework of multi-tasking mapping on multi-chips

Author(s): Jinyang Yao, Junchao Wang, Zheng Shan

Pages: 3369 - 3382

21) Modified TODIM-TOPSIS technique for type-2 neutrosophic number multiple-attribute decision-making and applications to precise teaching quality evaluation in vocational college english

Author(s): Ye Bao, Lei Zhang, Hasieerdeni

Pages: 3383 - 3397

22) A novel Gaussian filter-based pressure correction technique with higher-order super-compact scheme for unsteady 3D incompressible, viscous flows

Author(s): Ashwani Punia, Rajendra K. Ray

Pages: 3399 - 3423

23) Integrating MCDM techniques in an interval-valued neutrosophic framework for blue-collar personnel selection

Author(s): Göknur Yaren Taş, Sena Kır

Pages: 3425 - 3450

24) AI-integrated hardware prototype for battery management systems in electric vehicle applications

Author(s): Satyashil D. Nagarale, B. P. Patil

Pages: 3451 - 3471

25) Advanced CoCoSo technique based on logarithmic distance for double-valued neutrosophic multiple-attribute decision-making: applications to higher education reform effectiveness evaluation

Author(s): Min Sun, Li Che, Lin Li

Pages: 3473 - 3483

26) K-nearest neighbors stochastic petri net for accurate remaining time prediction

Author(s): Walid Ben Mesmia, Kamel Barkaoui

Pages: 3485 - 3502

27) A multi-objective black widow spider algorithm for solving the flexible job shop problem with energy efficiency and transport time

Author(s): Fabian Alexander Torres-Cardenas, Lina Mayerly Lozano Suarez, Carlos Eduardo Díaz Bohórquez

Pages: 3503 - 3523

28) A novel fuzzy-enhanced graph neural network with attention for drug-disease association forecasting problem

Author(s): Phu Pham, Giang Tran-Hoang, Trung Nguyen-Huu

Pages: 3525 - 3542

29) CondSR: Conditional Shift-Robust Conformal Prediction for Graph Neural Networks

Author(s): S. Akansha

Pages: 3543 - 3556

30) CNeXt-DANet: ConvNeXt with dual attention for violence detection in surveillance videos

Author(s): Gurmeet Kaur, Sarbjeet Singh

Pages: 3557 - 3576

31) Self-gated rectified linear unit based convolutional neural network for intrusion detection system in cloud computing environment

Author(s): Veena Rathnamma Chalapathi, Mohan Govindasa Kabadi, S. H. Brahmananda

Pages: 3577 - 3595

32) An improved GNN integrating multi-scale topology-semantic attention for performance prediction in spindle assembly

Author(s): Siyi Ding, Yan Meng, Xinhua Mao

Pages: 3597 - 3620

33) Content-based information flow control realized by large language model based on neural networks

Author(s): Shigenari Nakamura, Lidia Ogiela, Makoto Takizawa

Pages: 3621 - 3629

34) Scientific validation of hybrid deep learning using unseen paradigm and explainability for classification of women’s heart failure gene expression

Author(s): Ekta Tiwari, Dipti Shrimankar, Jasjit S. Suri

Pages: 3631 - 3651

35) AirGraphNet: a novel spatio-temporal graph attention model for PM2.5 forecasting

Author(s): Saeed Saravani, Zahra Dehghanian, Behnam Roshanfekr

Pages: 3653 - 3665

36) Modeling and detecting high-level events in healthcare applications exploiting ISEQL+

Author(s): Fabio Persia, Anton Dignös, Daniela D’Auria

Pages: 3667 - 3690

37) Analysis of the number of students in general colleges and universities in China with uncertain statistics

Author(s): Chunhua Gao, Yang Liu, Beibei Hu

Pages: 3691 - 3702

38) Signals in the storm: the impact of government announcements and COVID-19 developments on financial markets

Author(s): Thamila Madji, Valerio Ficcadenti

Pages: 3703 - 3733

39) Energy-balanced routing in wireless sensor networks with reinforcement learning using greedy action chains

Author(s): Zhibin Liu, Xinshui Wang

Pages: 3735 - 3755

40) Design and deep learning edge computing method for person identification using video analytics system

Author(s): M. Srilatha, N. Srinivasu

Pages: 3757 - 3770

41) Automated quantification of chronic constipation in X-rays using U-Net

Author(s): Naoya Takashima, Daisuke Fujita, Syoji Kobashi

Pages: 3771 - 3781

Friday, May 8, 2026

Weekly Review 8 May 2026

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

AI has taken away so much entry-level work it is forcing young people into being entrpreneurs: https://www.theguardian.com/technology/ng-interactive/2026/apr/25/gen-z-entrepreneurs-business-ai
AI vendor lock-in is a thing, and it's becoming costly for businesses: https://www.theregister.com/2026/04/28/locked_stocked_and_losing_budget/
Zine creators continue to resist AI: https://www.theguardian.com/technology/2026/apr/28/zine-creators-fight-to-resist-ai-influence
AI is finding flaws in code faster than engineers can fix them: https://www.theregister.com/2026/05/02/ncsc_brace_for_patch_tsunami/
Do we need to keep AI services and architectures open? https://www.theregister.com/2026/04/29/new_sap_api_policy_provokes/
AI is starting to impact the IT services industry: https://www.theregister.com/2026/04/28/tcs_infosys_wipro_hcl_fy26/
The best use of AI in an organisation is to boost human workers, not replace them: https://www.computerworld.com/article/4162557/your-ai-strategy-is-all-wrong.html
The age of free access to AI seems to be coming to an end: https://futurism.com/artificial-intelligence/dark-cloud-bill-comes-due-ai-industry
It's not a big revelation that orbital AI data centres isn't a good idea: https://dataconomy.com/2026/04/30/spacex-warns-orbital-ai-data-centers-may-not-be-viable/
Specialised control systems are needed to stop AI data centres causing fluctuations in the power grid: https://spectrum.ieee.org/data-center-power-fluctuation
The overall trend does seem to be more and more code being written by AI: https://www.theregister.com/2026/04/28/software_development_ai_dev25xsf/
AI is not going to kill open source: https://www.theregister.com/2026/04/26/opinion_column/
Is jailbreaking an AI the same as torturing it? https://www.theguardian.com/technology/2026/apr/29/meet-the-ai-jailbreakers-i-see-the-worst-things-humanity-has-produced
A list of ten Python libraries for working with Large Language Model AI: https://www.kdnuggets.com/10-python-libraries-for-building-llm-applications
It might be cheaper to keep employing people rather than replace them with AI: https://www.extremetech.com/computing/layoffs-due-to-ai-are-costing-firms-more-as-ai-bills-soar
AI chat logs are increasingly being used as evidence in criminal investigations: https://www.rnz.co.nz/news/media-technology/594113/how-chatgpt-conversations-became-a-treasure-trove-of-evidence-in-criminal-investigations
Universities need to start teaching their students the skills they will need to use AI effectively in the workplace: https://www.insidehighered.com/news/student-success/life-after-college/2026/04/30/ai-skills-surge-entry-level-jobs-lag
A large minority of students are changing their career plans because of AI: https://www.insidehighered.com/news/students/careers/2026/04/30/4-10-students-say-ai-will-influence-their-career-choice
Professors are unhappy that their teaching materials have been packaged into a course builder AI: https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2026/04/29/faculty-concerned-about-asus-new-ai-course
Using AI to screen job applications is destroying the trust of prospective employees: https://www.stuff.co.nz/money/360972504/death-fair-go-why-kiwis-are-losing-faith-job-market
Engineers should always look at the output of code generating AI: https://www.theregister.com/2026/04/29/aws_keynote_hypes_ai_magic/
A tool that modifies AI-generated text to make it look more human-generated: https://www.extremetech.com/internet/harvard-students-anti-grammarly-tool-makes-ai-emails-messy-on-purpose
Using AI in synthetic biology: https://spectrum.ieee.org/synthetic-biology-ai-adrian-woolfson
A bad actor has embedded crypto mining into AI skill packages: https://www.theregister.com/2026/04/29/30_clawhub_skills_mine_crypto/
A simple modification to the learning algorithm can reduce hallucinations in AI: https://www.extremetech.com/science/a-simple-calculation-can-stop-ai-from-lying-about-what-it-doesnt-know
Moving AI image processing to Earth observation satellites is one place it makes sense to move AI into space: https://spectrum.ieee.org/ai-earth-observation-in-space

Computational Intelligence

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IEEE Transactions on Artificial Intelligence, Volume 7, Issue 6, June 2026

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