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

Tuesday, February 17, 2026

IEEE Transactions on Fuzzy Systems, Volume 34, Issue 2, February 2026

1) A Survey on Neural Network Prediction Based on Fuzzy Information Granules: Methods, Applications, and Future Challenges

Author(s): J. Zhan, X. Wu, W. Ding, W. Pedrycz

Pages: 347 - 367

2) Fuzzy Game-Theoretic Control Design for Uncrewed Ground Swarm Systems: An Integrated Method

Author(s): X. Zhao, Z. Cui, Y. -H. Chen, J. Huang

Pages: 368 - 381

3) Consensus Fuzzy Representation Learning

Author(s): C. Zhang, L. Chen, W. Ding, K. Zhao, Y. -F. Yu, Z. Hao, W. Bai

Pages: 382 - 395

4) Takagi–Sugeno–Kang Fuzzy Systems With Iterated Projection Optimization for Classification Problems

Author(s): X. Gao, J. Wang, B. Yuan, C. Dai, N. R. Pal

Pages: 396 - 410

5) Fixed/Prescribed-Time Synchronization of Hybrid Delayed Fuzzy Inertial Memristive Neural Networks

Author(s): X. Wang, G. Chen, S. Wen, L. Wang, J. Hu

Pages: 411 - 425

6) Salient Object Detection Based on Shadowed Sets and Illumination-Guided Network

Author(s): M. Li, H. Zhang, W. Pedrycz, Z. Wei, D. Miao

Pages: 426 - 439

7) F-YOLO: Delving Into Fuzzy YOLO for Improved Traffic Object Detection

Author(s): N. Jia, J. Yang, X. Liu, Y. Sun

Pages: 440 - 452

8) Quantized Backstepping Prescribed Performance Fuzzy Control for Multiagent Systems

Author(s): X. Liu, H. Zhang, X. Guo, Y. Yan, Y. Cui

Pages: 453 - 462

9) Dual-Triggered Adaptive Fuzzy Robust Optimal Tracking Control for Wastewater Treatment Process

Author(s): D. Chen, C. Yang, J. Qiao

Pages: 463 - 474

10) Reinforced Dual-Flow Neural Network for Tabular Data Classification With Dynamical Transformer and Fuzzy Clustering

Author(s): C. Gao, S. -K. Oh, H. Huang, Z. Fu, W. Pedrycz, J. H. Yoon

Pages: 475 - 488

11) Image Encryption via Sliding Mode Synchronization of Fractional-Order Quaternion-Valued T–S Fuzzy Neural Networks With Uncertain Parameters

Author(s): X. Meng, Z. Li, J. Cao

Pages: 489 - 502

12) Reinforcement Learning-Based IT-2 Fuzzy Fractional-Order Sliding Mode Control for Leader–Follower Formation Tracking of Flexible-Joint Robots

Author(s): G. Narayanan, S. Lee, S. Ahn

Pages: 503 - 516

13) A Long Short-Term Memory Fuzzy Transformer to Model Bidirectional Hesitant Fuzzy Information and Metaverse Alternative Selection

Author(s): M. Liu, W. Zhou

Pages: 517 - 530

14) Logic-Adaptive Discrete Neural Dynamics for Distributed Cooperative Control of Multirobot Systems via Minimum Infinity Norm Optimization

Author(s): D. Ma, J. Lv, C. Xu, L. Jin

Pages: 531 - 539

15) Adaptive Noise-Resilient Dynamic Feature Extraction for Interval-Valued Data With Evolving Attributes

Author(s): Y. Liu, X. Zhang, Y. Qian, W. Xu

Pages: 540 - 553

16) Data-Driven Fuzzy Group Formation–Containment Control of Nonlinear Multiagent Systems With Asymmetric Input Saturation

Author(s): C. Li, X. Wang, Z. Zeng, X. Zong

Pages: 554 - 566

17) FPSO-Time: A Fuzzy Time Series Forecasting Method Based on Fuzzy Particle Swarm Optimization and Reprogrammed Large Language Models

Author(s): W. Gu, R. Ma, Y. Yu, Z. Ma

Pages: 567 - 579

18) Efficiently Data-Driven Offline Generation and Online Modification of Belief Rules

Author(s): J. Shi, X. Chen, Y. Xie, Y. Wang, L. Cen

Pages: 580 - 592

19) Adaptive Fuzzy-Convolution and TSK-Guided Attention for Interpretable EEG MI Decoding

Author(s): Y. Sun, J. Yao, T. Chen, K. Xia, Y. Jiang, P. Qian

Pages: 593 - 607

20) DFR: A Density-Based Fuzzy Rough Clustering Algorithm

Author(s): B. Yu, M. Jin, T. Yang

Pages: 608 - 622

21) Antinoisy-Labeling AUC Maximization Learning for Fuzzy Classification on Imbalanced Data

Author(s): Y. Li, F. -l. Chung, S. Wang

Pages: 623 - 637

22) Observer-Based Fuzzy Adaptive Admittance Control for Unknown Environment-Coupled Physical Human–Robot Interaction With Prescribed Tracking

Author(s): C. Liu, K. Zhao, Z. Lu, C. Li

Pages: 638 - 649

23) Fairness via Fuzzy Systems: Analysis of Accuracy–Fairness Tradeoff by Multiobjective Fuzzy Genetics-Based Machine Learning

Author(s): T. Konishi, N. Masuyama, J. Casillas, Y. Nojima

Pages: 650 - 664

24) Double-Loop Fuzzy Neural Network-Based Fixed-Time Robust Control for Antagonistic PM-Actuated Wrist Robots With Motion Constraints

Author(s): Y. Xu, S. Diao, T. Yang, X. Zhang, M. Li, Y. Gao, D. Navarro-Alarcon, N. Sun

Pages: 665 - 678

25) A Fuzzy-Theoretic Cooperative Game Framework for Adaptive Robust Control of Air–Ground Vehicle Systems

Author(s): X. Zhao, B. Dang, Y. -H. Chen, F. Dong, J. Huang

Pages: 679 - 692

Monday, February 16, 2026

IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 2, February 2026

1) Vision Mamba: A Comprehensive Survey and Taxonomy

Author(s): X. Liu, C. Zhang, F. Huang, S. Xia, G. Wang, L. Zhang

Pages: 505 - 525

2) Hard Sample Mining: A New Paradigm of Efficient and Robust Model Training

Author(s): L. Liu, Y. Liang, X. Yan, L. Huangfu, S. Samtani, Z. Yu, Y. Zhang, D. D. Zeng

Pages: 526 - 546

3) FEU-Diff: A Diffusion Model With Fuzzy Evidence-Driven Dynamic Uncertainty Fusion for Medical Image Segmentation

Author(s): S. Geng, S. Jiang, T. Hou, H. Yao, J. Huang, W. Ding

Pages: 547 - 561

4) Reinforcement Learning-Based Boundary-Optimized Control of Flexible Manipulators Under Jointly Connected Switching Topologies

Author(s): X. Yao, L. Li, Y. Liu

Pages: 562 - 574

5) Distributed FilterNet Reinforcement Learning for Achieving Output Consensus in Heterogeneous Multiplayer Multiagent Systems

Author(s): J. Wu, B. Lian, C. Wen, Y. Zhu

Pages: 575 - 588

6) All-to-All Connected Oscillator Ising Machines and Their Application as Associative Memory

Author(s): Y. Cheng, Z. Lin

Pages: 589 - 602

7) Fuzzy Rule-Based Differentiable Representation Learning

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

Pages: 603 - 616

8) Coupled Tensor Decomposition for Compact Network Representation

Author(s): V. T. Pham, Y. Zniyed, T. P. Nguyen

Pages: 617 - 631

9) Syntax-Oriented Shortcut: A Syntax Level Perturbing Algorithm for Preventing Text Data From Being Learned

Author(s): B. Li, K. Zhang, X. Chen, R. Hong

Pages: 632 - 645

10) Multiscale Contrastive Learning for Node Clustering Based on Variational Graph Auto-Encoder

Author(s): N. P. Aghayengejeh, M. A. Balafar, J. Tanha, N. N. Khasmakhi, S. Minaee

Pages: 646 - 660

11) HSG-Net: Point Cloud Completion via Heuristic Structure Growing

Author(s): X. Chen, J. Chen, Y. Liu, R. Li

Pages: 661 - 672

12) Ape Optimizer: A p-Power Adaptive Filter-Based Approach for Deep Learning Optimization

Author(s): Y. Jin, H. Yang, X. Wang, Y. Xu, Z. Zhang

Pages: 673 - 685

13) Granular Ball-Guided Disambiguation for Partial Multilabel Feature Selection via Maximum Consistency Minimum Uncertainty

Author(s): F. Xu, W. Qian, W. Shu, J. Huang, W. Ding, S. Xia

Pages: 686 - 700

14) On Continuity of Robust and Accurate Classifiers

Author(s): R. Barati, R. Safabakhsh, M. Rahmati

Pages: 701 - 710

15) Multimodal Quaternion Representation Network for Multisource Remote Sensing Data Classification

Author(s): Y. -L. Wei, H. -C. Li, J. -L. Wang, Y. -B. Zheng, J. Pan, Q. Du

Pages: 711 - 725

16) A Novel Pattern Learning Framework With Enhanced Scalability for Continuous Optimization

Author(s): J. Qin, Y. Mo, H. Liu, Z. -H. Zhan, W. Yu

Pages: 726 - 740

17) Mars Express Orbiter Power Consumption Prediction Based on Bionic Hierarchical Learning Network

Author(s): Z. Qian, Z. Chen, E. Pan

Pages: 741 - 752

18) An Empirical Study of Federated Learning on IoT–Edge Devices: Resource Allocation and Heterogeneity

Author(s): K. -S. Wong, D. -M. Nguyen, K. Le, L. Ho, C. Do, D. Le-Phuoc

Pages: 753 - 765

19) Unbiased Semantic Decoding With Vision Foundation Models for Few-Shot Segmentation

Author(s): J. Wang, B. Zhang, J. Pang, W. Liu, B. Liu, H. Chen

Pages: 766 - 780

20) FedMPS: Federated Learning in a Synergy of Multi-Level Prototype-Based Contrastive Learning and Soft Label Generation

Author(s): W. Yang, X. Hu, X. Zhu, R. Wu, W. Pedrycz, X. Liu, J. Huang

Pages: 781 - 794

21) Optimizing the Output of Long Short-Term Memory Cell for High-Frequency Forecasting in Financial Markets

Author(s): A. Ntakaris, M. Gabbouj, J. Kanniainen

Pages: 795 - 808

22) Lightweight Reparameterizable Integral Neural Networks for Mobile Applications

Author(s): J. Lin, X. Li, B. Ren, X. Hao, Q. Wang, Y. Yao

Pages: 809 - 821

23) Optical-Cue-Guided Diffusion Probabilistic Model for Reflection Removal

Author(s): F. Zhang, Y. Li, X. Chang

Pages: 822 - 835

24) Modal Detection Informed Classification Evaluation via Ensemble Networks for Expensive Constrained Multimodal Optimization

Author(s): K. Yu, F. Chen, M. Yu, J. Liang, K. Chen

Pages: 836 - 850

25) FedNK-RF: Federated Kernel Learning With Heterogeneous Data and Optimal Rates

Author(s): X. Zhang, J. Li, R. Yin, W. Wang

Pages: 851 - 863

26) Three-Dimensional Multiobject Tracking Based on Voxel Masking Encoder and Deep Hashing Paradigm

Author(s): S. Li, Z. Chen, H. Li, Y. Tao, Y. Gao, J. Yan

Pages: 864 - 877

27) Learning Counterfactual Fair Representation Under Covariate Shift via Reflux

Author(s): Y. Xia, X. Zhang, Z. Li

Pages: 878 - 892

28) Feature Enhancement Module Based on Class-Centric Loss for Fine-Grained Visual Classification

Author(s): D. Wang, H. Xinyu, S. Lyu, W. Tian, Y. Lu

Pages: 893 - 906

29) Unsupervised Skill Discovery Through Skill Regions Differentiation

Author(s): T. Xiao, J. Zheng, R. Yang, K. Xu, Q. Zhang, P. Liu, Z. Wang, C. Bai

Pages: 907 - 921

30) Sparse Mixture of Mambas for Domain Generalized Atomic Electron Tomography Augmentation

Author(s): Y. Yu, J. Yuan, X. Zhong, Q. Zhao, W. Luo, L. Mai

Pages: 922 - 936

31) Targeted Mining of Time-Interval Related Patterns

Author(s): S. Liang, L. Chen, W. Gan, P. S. Yu, S. Zhao

Pages: 937 - 950

32) Theoretical Convergence Analysis and Initialization Comparisons of Deep Soft-Thresholding Networks

Author(s): C. Xiong, M. Zhang, T. Wei, Y. Huang, J. Cao, Q. Cai, Z. Chen, X. Qu

Pages: 951 - 965

33) HKANLP: Link Prediction With Hyperspherical Embeddings and Kolmogorov–Arnold Networks

Author(s): W. Zhang, W. Fan, W. Su, N. Bouguila

Pages: 966 - 980

34) A Mathematical Certification for Positivity Conditions in Neural Networks With Applications to Partial Monotonicity and Trustworthy AI

Author(s): A. Polo-Molina, D. Alfaya, J. Portela

Pages: 981 - 996

35) A Self-Supervised Learning Framework for Soft Robot Proprioception

Author(s): D. Hu, H. Dong, F. Giorgio-Serchi, Y. Yang

Pages: 997 - 1003

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