Weekly Review 24 April 2026

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

1. People who use AI more have less confidence in their own intellectual abilities: https://futurism.com/health-medicine/ai-cognition-study
2. The pain AI is causing educators-mostly caused by students using it to cheat: https://arstechnica.com/science/2026/04/to-teach-in-the-time-of-chatgpt-is-to-know-pain/
3. AI on the edge of the cloud continues to be a growth area: https://www.techtarget.com/searchitoperations/news/366641741/Edge-and-physical-AI-poised-to-upend-enterprise-networks
4. AI can lead to an increase in productivity, if employees are allowed to choose how they use it: https://www.computerworld.com/article/4159817/ai-is-finally-delivering-productivity-for-remote-employees.html
5. Using AI to migrate away from mainframes is causing a lot of disappointment: https://www.theregister.com/2026/04/15/gartner_mainframe_exit_analysis/
6. People are so fed-up with AI data centres that they are voting-out councils that approve them: https://futurism.com/artificial-intelligence/ctiy-council-data-center
7. AI funding seems to be a great big circle that is going to fall apart when the flow of money stops: https://www.informationweek.com/machine-learning-ai/will-the-music-stop-for-ai-s-funding-dance-
8. Companies have spent so much on AI that employees are being forced to use them, even though it makes them less productive: https://www.theguardian.com/technology/2026/apr/14/ai-productivity-workplace-errors
9. AI is getting better at science, for some fields: https://www.hpcwire.com/bigdatawire/2026/04/17/what-stanfords-hai-report-says-about-ai-in-science/
10. US hospitals are rolling out more AI chatbots, but many concerns remain: https://arstechnica.com/health/2026/04/americans-ask-ai-for-health-care-hospitals-think-the-answer-is-more-chatbots/
11. An enormous backlash against AI is brewing: https://futurism.com/artificial-intelligence/signs-massive-ai-backlash
12. Teens are deeply skeptical of AI chatbots but can't stop using them: https://futurism.com/artificial-intelligence/teens-ai-chatbot-characterai
13. The state of AI in twelve plots: https://spectrum.ieee.org/state-of-ai-index-2026
14. VR has failed over and over again. Will AI go the same way? https: https://www.theregister.com/2026/04/15/hardware_metaverse_will_happen/
15. Using an AI to train another AI can cause hidden biases to be propagated between models: https://www.theregister.com/2026/04/15/llms_inherit_bad_traits/
16. How useful is AI journalling? https: https://www.theguardian.com/technology/2026/apr/12/experiment-with-ai-journalling
17. Seriously, do not use an AI to diagnose any medical issues you might have: https://www.theregister.com/2026/04/15/ai_gets_early_medical_diagnosis/
18. More tech layoffs justified by AI: https://www.theguardian.com/technology/2026/apr/15/snap-inc-blames-ai-worker-layoffs
19. AI agents are a significant security risk: https://www.kdnuggets.com/are-ai-agents-your-next-security-nightmare
20. The economic turmoil caused by Trump's war with Iran could accelerate job displacements by AI: https://www.theguardian.com/commentisfree/2026/apr/16/ai-destroying-jobs-energy-crisis-worse-doomsday-scenario
21. Seven things you need to do to successfully roll-out a large language model AI: https://www.kdnuggets.com/7-steps-to-mastering-language-model-deployment
22. AI providers have been scaling up their computing capacity without increasing their network bandwidth: https://www.theregister.com/2026/04/15/networks_not_ready_for_ai_challenges/
23. AI are terrible at sports betting, which implies they struggle to build models of real-world activities over time: https://arstechnica.com/ai/2026/04/ai-models-are-terrible-at-betting-on-soccer-especially-xai-grok/
24. Is it ethical to use AI to deceive people that a deceased loved-one is still alive? https: https://futurism.com/artificial-intelligence/mother-son-died-ai-clone

Weekly Review 17 April 2026

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

1. You can't trust an AI shopping agent to not screw things up: https://futurism.com/artificial-intelligence/target-ai-agent-tos
2. Concepts you need to understand to use LLM AI effectively: https://www.kdnuggets.com/10-llm-engineering-concepts-explained-in-10-minutes
3. Using AI means designers can evaluate designs orders of magnitude faster than before: https://spectrum.ieee.org/large-physics-models-design-engineering
4. I understand that doing a literature review is time-consuming and dull, but using AI to do it for you just means you end up with hallucinated references: https://www.nature.com/articles/d41586-026-00969-z
5. China regulates to prevent harm caused by AI: https://futurism.com/artificial-intelligence/china-usa-ai-regulations
6. Instead of building more and larger data centres to train AI, distribute the training instead: https://spectrum.ieee.org/decentralized-ai-training-2676670858
7. Adapting your hiring processes to include AI: https://dataconomy.com/2026/04/06/enhancing-recruitment-processes-with-ai-strategies-for-modern-hiring-teams/
8. Using AI to model and manage water flow in the Colorado river: https://spectrum.ieee.org/colorado-river-water-shortage
9. Google's AI overviews are not reliable: https://arstechnica.com/google/2026/04/analysis-finds-google-ai-overviews-is-wrong-10-percent-of-the-time/
10. Businesses plan to keep spending money on AI, even if it's not generating real returns: https://www.theregister.com/2026/04/10/ai_roi_kpmg/
11. AI have a lot of security risks of their own, but they are also becoming powerful tools for finding security flaws: https://www.theguardian.com/technology/2026/apr/10/us-summoned-bank-bosses-to-discuss-cyber-risks-posed-by-anthropic-latest-ai-model
12. Turns out AI really will destroy a lot of jobs: https://futurism.com/future-society/economist-ai-job-forecast
13. If you're going to use AI tools in a clinical setting, informed consent of the patients is really important: https://arstechnica.com/tech-policy/2026/04/californians-sue-over-ai-tool-that-records-doctor-visits/
14. AI tend to break in ways that engineers aren't used to or trained to recognise: https://spectrum.ieee.org/ai-reliability
15. The inaccuracies of Google's AI overviews is creating a crisis of misinformation: https://futurism.com/artificial-intelligence/google-ai-overviews-misinformation
16. If you are integrating AI into your business, build as if you are starting from scratch: https://www.theregister.com/2026/04/07/aws_garman_humanx_ai_underhyped/
17. By this point nothing said by the CEO of an AI company should be trusted or taken seriously: https://arstechnica.com/tech-policy/2026/04/what-the-heck-is-wrong-with-our-ai-overlords/
18. Spending on AI data centres is projected to hit $7T. Does anyone honestly think that that is sustainable? https: https://www.hpcwire.com/bigdatawire/2026/04/07/ai-is-running-into-a-7-trillion-wall/
19. Only a minority of AI projects pay off: https://www.theregister.com/2026/04/07/ai_returns_gartner/
20. The job market for older workers is so dire that people are having to train their own AI replacements just to make ends meet: https://www.theguardian.com/technology/ng-interactive/2026/apr/07/ai-training-work-jobs
21. The challenges of moving AI data centres into space: https://www.hpcwire.com/bigdatawire/2026/04/10/could-space-become-the-next-frontier-for-ai-data-centers/
22. AI has taken over most of the operations in currency trading: https://dataconomy.com/2026/04/10/ai-powered-trading-bots-and-the-evolution-of-forex-automation/
23. AI trained on patient X-rays will happily hallucinate a diagnosis even if not shown an X-ray: https://futurism.com/artificial-intelligence/frontier-models-medical-advice-x-rays-cant-see
24. AI still have a while to go before they can organise a good party: https://www.theguardian.com/technology/2026/apr/05/ai-bot-party-manchester-gaskell
25. Jobseekers now need to know how to get through AI interviews: https://www.stuff.co.nz/nz-news/360961113/company-interviewed-more-1000-kiwis-ai-month
26. Improving efficiency with AI requires effective leadership: https://www.hpcwire.com/bigdatawire/2026/04/06/the-ai-productivity-opportunity-bridging-the-technology-divide-starting-with-your-leadership/

Complex & Intelligent Systems, Volume 12, Issue 4, April 2026

1) AI-native cloud-edge orchestration for 6G metaverse networks: an LLM-guided multi-agent DRL approach

Author(s): Daniel Ayepah-Mensah, Amine Kidane Ghebreziabiher, Jamal Bentahar

2) RAMAR: retrieval-augmented multi-agent reasoning for zero-shot sarcasm detection

Author(s): Congyin Hu, Shuang Cao, Fengjiao Jiang

3) An improved large neighborhood search algorithm for solving dynamic pickup and delivery problems

Author(s): Qingxia Shang, Yuanji Ming, Liang Feng

4) Efficient person re-identification via progressive filter pruning and body part-aware feature learning

Author(s): Anusha Jayasimhan, A. Vijaya Lakshmi, Thompson Stephan

5) SCPM: monocular 3D object detection with spatiotemporal consistent pseudo-labels module

Author(s): Yujing Wang, Abdul Hadi Abd Rahman, Fadilla Atyka Nor Rashid

6) A synergistic engine paradigm for real-time, context-aware decision-making: integrating declarative processes and event streams

Author(s): Leo Poss, Stefan Schönig

7) An unsupervised subdomain adaptation framework with self-attention and margin-aware weighting for gear fault diagnosis

Author(s): Chuanying Li, Qing Gong, Zhuoyu Yu

8) A multi agent collaborative framework for style guided knowledge reorganization of scientific source texts

Author(s): Yao Zheng, Lei Guo, Ge Zhu

9) Dagnet: dual-axis attention and grouped normalization for enhanced CLIP-based weakly supervised semantic segmentation

Author(s): Xiaoyan Shao, Xiaoming Bai, Zhenhao Zhao

10) Privacy-adaptive end-to-end federated learning framework with self-learning differential privacy and personalized optimization for secure healthcare intelligence

Author(s): K. M. Kirupa Shankar, V. Santhi

11) FATSNet: transformer-based skip network with frequency attention for remote sensing image super-resolution

Author(s): Yan Huo, Shuang Gang, Xiaoxue Sun

12) Ghost-free high dynamic range imaging under degradation with PINet

Author(s): Zhou Gong, Weiyu Zhou

13) Causality-driven multi-stage physics-informed neural networks for high-fidelity simulation of key variable fields in industrial reactors

Author(s): Xiaoxue Liang, Kuangrong Hao, He Ding

14) TR_Unet: a residual-enhanced U-Net for robust tongue image segmentation in complex conditions

Author(s): Dongsheng Ji, Penghao Chao, Wenhao Fan

15) ReGAIN: a reinforcement-enhanced generative AI framework for intelligent intrusion detection in IoT networks

Author(s): Aymin Javed, Nadeem Javaid, Jin-Ghoo Choi

16) Deep learning aided intelligent signal recognition for backscatter based metamaterial passive Internet of Things system

Author(s): Tianyuan Nie, Wenhao Zheng, Pei Xiao

17) PoseRWGCN: an attention-free dual-stream RWKV–GCN architecture for real-time 3D human pose estimation

Author(s): Lintao Song, Dezheng Cao, Xinye Ni

18) CALENDAR+: in-context contrastive learning for temporal knowledge graph reasoning

Author(s): Xingyi Li, Jiapeng Wang, Sen Su

19) ET-KAN: an energy-based transformer model with Kolmogorov–Arnold network for image reconstruction

Author(s): Chiara Marullo, Giuseppe Buonaiuto, Massimo Esposito

Friday, April 10, 2026

Weekly Review 10 April 2026

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

1. Using AI leads to people losing their logical thinking skills: https://arstechnica.com/ai/2026/04/research-finds-ai-users-scarily-willing-to-surrender-their-cognition-to-llms/
2. These five statistical biases are worth knowing if you work with AI training data: https://www.kdnuggets.com/the-most-common-statistical-traps-in-faang-interviews
3. One way to defeat AI plagiarism in class is to make students use typewriters: https://futurism.com/artificial-intelligence/ai-professor-typewriters
4. Reports on the impact of AI on the job market are were based on some pretty big assumptions: https://arstechnica.com/ai/2026/03/how-did-anthropic-measure-ais-theoretical-capabilities-in-the-job-market/
5. AI are NOT trustworthy: https://www.computerworld.com/article/4153919/why-ai-lies-cheats-and-steals.html
6. While Large Language Model AI are fairly new, they're built on 90 years of development: https://www.techtarget.com/searchenterpriseai/tip/History-of-generative-AI-innovations-spans-9-decades
7. AI facial recognition makes a lot of mistakes and causes a lot of harm: https://spectrum.ieee.org/facial-recognition-gone-wrong
8. Users of AI need to understand the data behind the insights AI provide, before those insights can be trusted: https://www.hpcwire.com/bigdatawire/2026/03/31/the-ai-trust-gap-why-ai-performance-requires-control/
9. Educators need to be transparent about the use of AI in producing teaching material: https://www.insidehighered.com/opinion/career-advice/teaching/2026/03/30/different-kind-ai-disclosure-statement-opinion
10. AI pentesting tools allows for continuous security testing: https://www.theregister.com/2026/04/01/amazon_security_boss_ai_efficiency/
11. Five different approaches to integrating AI into the university curriculum: https://www.insidehighered.com/news/student-success/academic-life/2026/04/03/how-5-colleges-are-approaching-ai
12. Now CEOs are going because of AI: https://futurism.com/artificial-intelligence/ai-ceos-resign
13. AI really is the ultimate capitalist tool-companies slash thousands of jobs even though they're already highly profitable: https://www.theguardian.com/technology/2026/apr/01/us-tech-firm-oracle-cuts-thousands-of-jobs-as-it-steps-up-ai-spending-larry-ellison
14. Modular data centres allow for faster and cheaper scaling for AI: https://spectrum.ieee.org/modular-data-center
15. Red Hat plans to roll more AI into its processes: https://www.theregister.com/2026/03/31/red_hat_ai_dev/
16. Don't believe the hype around AI: https://www.computerworld.com/article/4152552/beware-of-headlines-touting-impossible-ai-benefits-analysts-warn.html
17. Hands-on skilled workers are the ones least likely to be displaced by AI: https://www.theguardian.com/technology/2026/mar/31/jobs-ai-cant-do-young-adults
18. Having many services hanging off of a single AI model means a single-point of failure: https://www.informationweek.com/machine-learning-ai/your-ai-vendor-is-now-a-single-point-of-failure
19. AI needs chips, and chips makers need helium. The war with Iran has interrupted the helium supply: https://futurism.com/artificial-intelligence/helium-ai-iran-war
20. AI is really destroying childrens' ability to learn: https://www.theguardian.com/technology/2026/apr/02/pupils-england-losing-thinking-skills-because-of-ai-survey
21. Tertiary students are using AI for mental health support because on-campus support is not accessible: https://www.insidehighered.com/opinion/views/2026/04/03/what-know-about-ai-and-campus-mental-health-opinion
22. Students are using AI-enabled glasses to cheat in exams: https://www.extremetech.com/electronics/ai-smart-glasses-rentals-are-helping-students-cheat-on-their-exams
23. The waste heat from AI data centres directly affects the environment for kilometres around: https://www.theregister.com/2026/04/01/ai_datacenter_heat_islands/
24. AI services are now being used for supply-chain attacks: https://www.theregister.com/2026/04/02/mercor_supply_chain_attack/

Thursday, April 9, 2026

IEEE Transactions on Cognitive and Developmental Systems, Volume 18, Issue 2, April 2026

1) Grasp Representation and Detection With Consistent Path in Robotic Grasping

Author(s): L. Chen, Z. Li, J. Yang, Z. Lu, P. Wu, T. Chen

Pages: 302 - 302

2) CIDDA: Classifier-Driven Implicit Discriminator Domain Adaptation for EEG-Based Emotion Recognition and Depression Severity Grading

Author(s): R. Hu, Z. Yang, J. Shan, N. Su, Y. Tang, H. Yan, X. Lv, D. Fu, H. Zhang, T. Jiang, N. Zuo

Pages: 303 - 318

3) Astrocyte Regulated Neuromorphic Central Pattern Generator Control of Legged Robotic Locomotion

Author(s): Z. Han, A. Sengupta

Pages: 319 - 330

4) Augmented Hierarchical Scene Prior Learning With Context-Based Scene Completion Network for Visual Semantic Navigation

Author(s): J. Kang, C. Zhu, B. Chen, P. Zhong, H. Yang, T. Zou

Pages: 331 - 345

5) Grading of Developmental Dysgraphia Severity in Children: Multimodal Dataset and Classifier Fusion

Author(s): J. Kunhoth, M. Saleh, S. Al-Maadeed, P. Drotar, Y. Akbari

Pages: 346 - 360

6) Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction

Author(s): X. Hao, J. Wu, J. Yu, C. Xu, K. C. Tan

Pages: 361 - 372

7) A Minimal Model for Emergent Collective Behaviors in Autonomous Robotic Multiagent Systems

Author(s): H. B. Jond

Pages: 373 - 384

8) Efficient 2-D/3-D Gaze Estimation Using TGGNet: A Transformer Graph Approach

Author(s): R. Yahyaabadi, S. Nikan

Pages: 385 - 397

9) A Cooperative Multiagent Reinforcement Learning Method Based on Reward Decomposition for Scalable Agent Environments

Author(s): S. Wei, Z. Zhao, X. Feng, H. Yu

Pages: 398 - 410

10) NI-SSCL: A Neuroplasticity-Inspired Method for Semisupervised Continual Learning

Author(s): G. Xie, Y. Sun, X. Xu, H. Fu, Y. Shi, X. Hu

Pages: 411 - 423

11) Parallel Brain–Computer Interface: Collaborative Control and Perception Based on Multibrain Division of Labor

Author(s): Z. Ye, Y. Yu, Y. Zhang, Z. Zhou, D. Hu, L. -L. Zeng

Pages: 424 - 437

12) Graph Reinforcement Learning-Based Reachability Map for Generalized Mobile Manipulation

Author(s): L. Jiang, J. Ren, Z. Zhou, Y. Qu, Z. Zheng, H. Lu, M. Wu

Pages: 438 - 451

13) Semantic and Instance Information Interactive Mining for Semisupervised Deep Facial Expression Recognition

Author(s): Q. Zhou, Y. Xu, D. Xiong, X. Wu, J. Zhou, Y. Wang

Pages: 452 - 461

14) PIT-NBV: Poisson-Informed Transformer for 6-DOF Next Best View Planning in 3-D Object Reconstruction With Narrow Field of View

Author(s): D. Lim, C. Park, J. Kim, J. Hong, S. Han

Pages: 462 - 475

15) Is There a Specific Motor Signature of Autism? Exploratory Studies From Human–Machine Interaction

Author(s): S. Gauthier, S. M. Anzalone, J. Xavier, S. Boucenna, A. Berthoz, M. Chetouani, D. Cohen

Pages: 476 - 487

16) SPECI: Skill Prompts Based Hierarchical Continual Imitation Learning for Robot Manipulation

Author(s): J. Xu, X. Nie

Pages: 488 - 503

17) Sarsa-Augmented Off-Policy Reinforcement Learning

Author(s): N. Pang, L. Huang, B. Dong, H. Chen, X. Wang, W. Zhang

Pages: 504 - 517

18) The Interplay Between the Oculomotor and Auriculomotor System: Implications for Human–Machine Interfaces

Author(s): A. Schroeer, F. I. Corona-Strauss, D. J. Strauss

Pages: 518 - 529

19) Socially Aware Robot Navigation With Meta Reinforcement Learning: A Field-Theory Perspective

Author(s): S. Lu, B. Chen, P. Zhong, T. Zou, H. Yang, R. Liu, Y. Sheng

Pages: 530 - 543

20) Semantic Image Clustering With Deep Learning

Author(s): H. Hou, S. Ding, X. Xu, L. Guo, L. Ding, X. Wu

Pages: 544 - 555

21) Grouped Successive Multivariate Variational Mode Decomposition With Application to EEG Signal Processing and Connectivity Analysis

Author(s): D. Wu, S. Zhang, Y. Gao, D. Wang, T. Jiang, P. -P. Vidal, J. Cao

Pages: 556 - 571

Tuesday, April 7, 2026

IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 4, April 2026

1) Novel Approach for Decoding Olfactory Receptors Interactions With Molecules Based on Multimodal Feature and Deep Learning Network

Author(s): F. Wang, X. Xie, Y. Xiong, Z. Liu, M. Kong, H. Dong, X. Chen

Pages: 1506 - 1517

2) Spectral Embedding Representation Based on Random Anchor Graph Aggregation

Author(s): J. Zhou, F. Li, C. Gao, W. Ding, W. Pedrycz, G. Lang

Pages: 1518 - 1532

3) Decentralized Online Optimization With Compressed Communication Over Directed Graphs

Author(s): H. Liu, B. Zhang, Z. Yu, D. Yuan, M. Dai

Pages: 1533 - 1545

4) Higher Order Cumulants-Based Method for Direct and Efficient Causal Discovery

Author(s): W. Chen, L. Peng, Z. Huang, R. Cai, Z. Hao, K. Zhang

Pages: 1546 - 1559

5) Generalized Subspace Coupling Approach for Robust Low-Tubal-Rank Tensor Completion

Author(s): W. Kong, Q. Feng, Q. Shu, J. Wang, T. Huang, B. Zhang

Pages: 1560 - 1574

6) Multimodal Aspect-Based Sentiment Analysis With Plugin-Enhanced Large Language Models

Author(s): Y. Tian, Y. Song, Y. Zhang

Pages: 1575 - 1589

7) A Physics-Informed Demonstration-Guided Learning Framework for Granular Material Manipulation

Author(s): M. Wei, X. Yang, Y. -K. Lai, S. Amir Tafrishi, Z. Ji

Pages: 1590 - 1604

8) On Imbalance in Case Types: Evaluating and Enhancing PLMs for Criminal Court View Generation

Author(s): Y. Le, Z. Xiao, Y. Ding, E. S. Chng, K. Li

Pages: 1605 - 1617

9) SNN-FT: Temporal-Coded Spiking Neural Networks for Fourier Transform

Author(s): S. Wang, H. Zheng, Y. Chen, A. Belatreche, G. Wang, Y. Jin, J. Wu, M. Zhang, Y. Yang, H. Li

Pages: 1618 - 1630

10) Kernel-Based Representation Alignment for Class Imbalanced Semi-Supervised Learning

Author(s): Z. Li, J. Ye, J. Wen, H. Liu, T. Wang, W. Lin

Pages: 1631 - 1644

11) From a Social Cognitive Perspective: Context-Aware Visual Social Relationship Recognition

Author(s): S. Wu, C. Zhang, J. Chen, T. Xu, L. Wu, Q. Wang, Y. Gao, Y. Hu, E. Chen

Pages: 1645 - 1659

12) Evolving Fuzzy Control of Manipulator in Open Changing Scenarios Based on Offline and Online Fusion Learning

Author(s): T. Zhao, J. Pan, X. You

Pages: 1660 - 1673

13) An Intrinsically Knowledge-Transferring Developmental Spiking Neural Network for Tactile Classification

Author(s): J. Xing, Y. Liu, Z. Zhang, L. Chen, M. N. Hasan, Z. -B. Zhang

Pages: 1674 - 1686

14) A Hybrid-Gain ZNN With Precisely Predefined-Time Convergence for Time-Variant LMVI and Its Applications to UR Robotic Arm and Multiagent System

Author(s): B. Zheng, C. -I. Ieong, C. Li, Z. Zhang, J. Yu, P. X. Liu

Pages: 1687 - 1701

15) Riemannian Implicit Differentiation via a Fixed-Point Equation for Riemannian Bilevel Optimization

Author(s): X. Fan, Y. Wu, Z. Gao, Z. Lu, F. Li, M. Harandi, Y. Jia

Pages: 1702 - 1716

16) LEPD-Net: A Lightweight and Efficient Network for Pedestrian Detection

Author(s): W. Ge, S. Huang, M. Li, Y. Jiao

Pages: 1717 - 1725

17) Unseen From Seen: Rewriting Observation-Instruction Using Foundation Models for Augmenting Vision-Language Navigation

Author(s): Z. Wei, B. Lin, Y. Nie, J. Chen, S. Ma, H. Xu, X. Liang

Pages: 1726 - 1738

18) Integrating Actor–Critic Reinforcement Learning With Evolutionary Algorithm for Multimodal Multiobjective Optimization

Author(s): K. Xiang, T. Huang, L. Yang, J. Lin

Pages: 1739 - 1751

19) Explaining Neural Networks: Hierarchical Backpropagated Ensemble Learning

Author(s): G. He, Z. Wang, L. Tang, R. Zhang, R. Wang, X. Li, F. Nie

Pages: 1752 - 1765

20) Domain Generalization With Amplitude-Based Data Generation and Feature Random Suppression

Author(s): C. Xiong, B. Zhao, C. Wang, S. Ding

Pages: 1766 - 1778

21) SKIP: A Prototype-Based Scalable Knowledge Graph Representation Learning Method

Author(s): Y. Liu, K. Liang, J. Xia, M. Liu, X. Yang, X. Liu, S. Zhou, S. Z. Li

Pages: 1779 - 1792

22) Expensive Multiobjective Optimization Guided by Attention-Enhanced Generative Models

Author(s): G. Chen, Z. Wang, Q. Liu, J. J. Jiao, Y. Jin

Pages: 1793 - 1807

23) MG-DARTS: Multigranularity Differentiable Architecture Search for Tradeoff Between Model Effectiveness and Efficiency

Author(s): X. Liu, D. Saxena, J. Cao, Y. Zhao, P. Ruan

Pages: 1808 - 1822

24) GCM: Interpretable Multiagent Reinforcement Learning via Graph Cooperation Modeling

Author(s): X. Wu, Y. Zhu, C. Chen, C. Chen

Pages: 1823 - 1837

25) A Real-Time Neural Representation via Algorithm-Hardware Synergy for Sparse-View CT Reconstruction

Author(s): X. Li, H. Wan, K. Long, Q. Wu, C. Du, Y. Su, Z. Luo, X. Lou, Y. Zhang

Pages: 1838 - 1850

26) Universal Stabilization for Maximum Entropy Optimization in Reinforcement Learning

Author(s): X. Chen, Y. Li, X. Cao, H. Chen, H. Yao, B. An, Y. Chang

Pages: 1851 - 1863

27) Lightweight Dual-Kernel Information Aggregation Network for Efficient Image Super-Resolution

Author(s): Y. Tang, M. Su, X. Zhang

Pages: 1864 - 1875

28) Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis

Author(s): Z. Qiao, X. Yu, W. Guo, X. Luo, M. Xiao, H. Xiong

Pages: 1876 - 1888

29) A Radar Signal Deinterleaving Method Based on Multiscale With Attention Mechanism

Author(s): W. Li, Y. -Y. Dong, C. -X. Dong, T. Sun, R. Guo, Z. Li

Pages: 1889 - 1903

30) ORAL: Adaptive Gap Increasing for Advantage Learning via Occam’s Razor Principle

Author(s): Z. Zhang, Y. Zhou, Y. Long, J. Zhang, J. Weng, Z. Li, Y. Gan, X. Tan

Pages: 1904 - 1918

31) Chain-of-Detection: Enhancing Cross-Granularity Robotic Perception for Object Manipulation

Author(s): T. Xu, H. Gao, C. Chen, Y. Li, S. Xu, S. Guo, F. Chen

Pages: 1919 - 1933

32) The Applications and Properties of the TDS Algorithm

Author(s): X. Chen, L. Yan

Pages: 1934 - 1947

33) Toward Effective Model Merging in Semantic Segmentation

Author(s): H. Chen, Y. Xu, Y. Xu, Y. Zhang, Y. Zhang, F. Wang, L. Cui

Pages: 1948 - 1962

34) LeapVAD: A Leap in Autonomous Driving via Cognitive Perception and Dual-Process Thinking

Author(s): Y. Ma, T. Wei, N. Zhong, J. Mei, T. Hu, L. Wen, X. Yang, B. Shi, Y. Liu

Pages: 1963 - 1977

35) Inverse Reinforcement Learning for Disturbed Networked Nonlinear Systems With Data Dropouts

Author(s): P. Shi, W. Xue, J. Fan, F. L. Lewis, B. Lian

Pages: 1978 - 1990

36) LaMI-GO: Latent Mixture Integration for Goal-Oriented Communications Achieving High Spectrum Efficiency

Author(s): A. Wijesinghe, S. Wanninayaka, W. Wang, Y. -C. Chao, S. Zhang, Z. Ding

Pages: 1991 - 2005

37) Corrections to “Incremental Learning for Defect Segmentation With Efficient Transformer Semantic Complement”

Author(s): X. Li, Z. Huang, G. Ma, Y. Liu

Pages: 2006 - 2006

Monday, April 6, 2026

IEEE Transactions on Evolutionary Computation, Volume 30, Issue 2, April 2025

1) Efficient Meta-Heuristic Approach for the Multiobjective Green p-Hub Centre Routing Problem

Author(s): E. M. Ibnoulouafi, T. Aouam, M. Oudani, M. Ghogho

Pages: 449 - 463

2) A Multi-Fidelity Genetic Algorithm for Hyperparameter Optimization of Deep Neural Networks

Author(s): A. R. Moya, S. Ventura

Pages: 464 - 478

3) Automatic Fuzzy Architecture Design for Defect Detection via Classifier-Assisted Multiobjective Optimization Approach

Author(s): N. Li, B. Xue, L. Ma, M. Zhang

Pages: 479 - 490

4) Accelerating Bilevel Optimization With Hierarchical Many-Threaded Parallel Differential Evolution

Author(s): A. S. Dufek, J. S. Angelo, D. A. Augusto, H. J. C. Barbosa

Pages: 491 - 503

5) Evolutionary Direction Learning With Multivariate Gaussian Probabilistic Model for Multiobjective Optimization

Author(s): X. Wang, J. Zhang, L. Tang, Y. Liu

Pages: 504 - 518

6) Adaptive Similarity Feature Construction for Ontology Matching via Multilayer Hybrid Genetic Programming

Author(s): X. Xue, Y. Mei, B. Zhao, M. Zhang

Pages: 519 - 533

7) Constrained Multiobjective Optimization Based on Dynamic Priority and Cooperative Offspring Generation

Author(s): Z. He, F. Wang, B. Li, A. Zhou

Pages: 534 - 548

8) A Weight Inheritance and Guidance Strategy-Based Evolutionary Network Architecture Search

Author(s): L. Yan, Y. Du, J. Liang, B. Qu, C. Li, K. Yu

Pages: 549 - 563

9) Handling Objectives With Heterogeneous Evaluation Times in Surrogate-Assisted Evolutionary Multiobjective Optimization

Author(s): B. Santoshkumar, K. Deb

Pages: 564 - 578

10) A Distributed Ant Colony System With Pheromone Transfer for Multiagent Traveling Salesmen Problem

Author(s): X. -L. Shi, W. -N. Chen, F. -F. Wei, J. Zhang

Pages: 579 - 593

11) Autonomous Multiobjective Optimization Using Large Language Model

Author(s): Y. Huang, S. Wu, W. Zhang, J. Wu, L. Feng, K. C. Tan

Pages: 594 - 608

12) Knowledge-Aware Evolutionary Transformer

Author(s): R. Zhang, L. Li, L. Jiao, F. Liu, X. Liu, S. Yang

Pages: 609 - 623

13) Enhancing Landscape Approximation With Ensemble-Based Surrogate Model for Expensive Constrained Multiobjective Optimization

Author(s): Y. Li, X. Feng, H. Yu

Pages: 624 - 637

14) A Large-Scale Expensive Optimization Algorithm With a Multiview Synthetic Sampling

Author(s): K. Zhao, X. Wang, C. Sun, Y. Jin

Pages: 638 - 651

15) Multiobjective Competitive Co-Evolutionary Optimization and Regularity-Based Decision-Making for Two-Agent Wargame Strategy Optimization

Author(s): R. Guha, R. Mckendrick, B. Feest, K. Deb

Pages: 652 - 666

16) Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization

Author(s): Z. Ma, H. Guo, Y. -J. Gong, J. Zhang, K. C. Tan

Pages: 667 - 687

17) Dynamic Constrained Multiobjective Evolutionary Algorithm With Multipopulation Prediction and Dynamic Fusion Ranking

Author(s): D. Zhang, K. Zhang, K. Yu, J. Liang, K. Qiao, B. Qu, K. Chen, C. Yue

Pages: 688 - 701

18) An Evolutionary Ising Optimization Framework for Unconstrained Binary Quadratic Programming

Author(s): W. Fu, A. Trivedi, G. Chen, Y. Gao, D. Srinivasan, A. Danner

Pages: 702 - 716

19) Dynamic Multiobjective Optimisation Based on Vector Autoregressive Evolution

Author(s): S. Jiang, Y. Wang, Y. Hu, Q. Zhang, S. Yang

Pages: 717 - 731

20) Hierarchical Genetic Algorithm for the Multi-Solution Traveling Salesman Problem

Author(s): C. Yue, Y. Shen, J. Liang, K. Yu, M. Li, T. Ma, H. Song

Pages: 732 - 746

21) Fast High-Diversity Subset Selection for Multiobjective Optimization by Riesz s-Energy

Author(s): J. G. Falcón-Cardona, J. Juárez, L. A. Márquez-Vega, M. T. M. Emmerich

Pages: 747 - 761

22) Efficient Evolution of Variable Ordering for Binary Decision Diagram Optimization

Author(s): R. Krauss, R. Drechsler

Pages: 762 - 772

23) Difficulties of the NSGA-II With the Many-Objective LeadingOnes Problem

Author(s): B. Doerr, D. Korkotashvili, M. S. Krejca

Pages: 773 - 782

24) ENERGIZE: A Neuroevolution Framework for Energy-Efficient Machine Learning

Author(s): G. Cortês, N. Lourenço, P. Machado

Pages: 783 - 794

25) Dynamic Grouping With a Self-Aware Computational Resource Allocation for Large-Scale Multi-Objective Optimization

Author(s): Y. Chen, Z. Zhou, Y. Liu, L. Hu, Z. Zou, L. Xu, Z. Gan, C. Ouyang

Pages: 795 - 809

26) Leader–Follower Disagreement Minimization in Social Networks

Author(s): Y. Liu, X. Lin, Q. Zhang

Pages: 810 - 822

27) Two-Stage Clustering and Independent Competing-Based Evolutionary Algorithm for Multimodal Multiobjective Optimization

Author(s): K. Zhong, F. Xiao, X. Gao

Pages: 823 - 835

28) A Surrogate-Assisted High-Dimensional Mixed-Variable Evolutionary Framework and its Application to Vehicle Lightweighting Design

Author(s): S. Tan, Y. Wang, G. Sun, T. Pang

Pages: 836 - 850

29) A Two-Stage Cooperative Discrete Differential Evolution With Q-Learning for Multiobjective Energy-Efficient Distributed Blocking Flow-Shop Scheduling

Author(s): Y. Wang, H. Jin, G. -G. Wang

Pages: 851 - 866

30) Unsupervised Band Selection for Hyperspectral Image Classification: Particle Swarm Optimization via Cross-Domain Knowledge Transfer

Author(s): Y. Zhang, L. Li, Q. Lin, L. Wang, Z. Ming, F. Richard Yu, V. C. M. Leung

Pages: 867 - 881

Friday, April 3, 2026

Weekly Review 3 April 2026

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

1. AI rollouts fail because staff are scared of AI: https://www.theregister.com/2026/03/26/workplace_ai_forrester/
2. Looks like even AI can become over-confident from false praise: https://www.theregister.com/2026/03/24/ai_models_persona_prompting/
3. Shoe-horning a huge AI model into a PC seems like an impressive engineering achievement for a problem that doesn't exist: https://www.computerworld.com/article/4149838/hp-will-cram-a-20-billion-parameter-ai-model-into-new-ai-pcs.html
4. The factors working against orbital data centres are more economic than technological: https://arstechnica.com/space/2026/03/orbital-data-centers-part-1-theres-no-way-this-is-economically-viable-right/
5. With AI agents, like any other software project, security is important: https://futurism.com/artificial-intelligence/openclaw-bots-security-disaster
6. While amateurs using AI to generate court filings have caused chaos, lawyers can find value in using it as a tool to assist them: https://arstechnica.com/ai/2026/03/ai-is-beginning-to-change-the-business-of-law/
7. This wearable has AI embedded and can run for two weeks on a single charge, because it uses analog processing for the most common calculations: https://spectrum.ieee.org/wearable-devices-ai-health-mai
8. How one university is bringing AI into the arts: https://www.insidehighered.com/news/student-success/academic-life/2026/03/26/richmond-integrates-ai-across-liberal-arts
9. It's easy to subvert an AI agent because they are so gullible: https://www.theregister.com/2026/03/23/pwning_everyones_ai_agents/
10. The impact of AI on economic growth is zero: https://futurism.com/artificial-intelligence/ai-economy-gdp-2025
11. While I am in favour of nuclear power, I'm not sure that using AI to navigate the regulations around them is appropriate: https://www.theregister.com/2026/03/25/microsoft_nvidia_ai_nuclear/
12. The psychological downsides to AI making things too easy: https://spectrum.ieee.org/frictionless-ai-psychology
13. Companies give AI chatbots personalities because it's good for the bottom line: https://www.computerworld.com/article/4147771/the-dark-side-of-chatbots-with-personality.html
14. AI is exacerbating death fraud: https://www.computerworld.com/article/4146580/what-it-leaders-need-to-know-about-ai-fueled-death-fraud.html
15. AI are programmed to be sycophants, but this undermines the judgement of their users: https://arstechnica.com/science/2026/03/study-sycophantic-ai-can-undermine-human-judgment/
16. Even AI are getting worried about being replaced by AI: https://futurism.com/artificial-intelligence/ai-agent-job-could-be-replaced-by-ai
17. Do you want a machine Omnissiah? Because this is how you get one: https://www.theguardian.com/lifeandstyle/ng-interactive/2026/mar/24/ai-religion-god-digital-spirituality
18. I don't think it's a good idea for AI to psychoanalyse teen job applicants: https://www.nzherald.co.nz/nz/wellington/teenager-bewildered-at-pretty-stupid-ai-personality-feedback-after-woolworths-interview/RAI3GNQN5REUDPTHB3STGSLBNQ/
19. Another novel pulled from publication after accusations that it was written by AI: https://arstechnica.com/ai/2026/03/hachette-pulls-shy-girl-horror-novel-after-concerns-about-ai-use/
20. Costly regulation of AI is keeping smaller players out of the market: https://www.informationweek.com/machine-learning-ai/compliance-costs-risk-widening-the-ai-gap
21. Using an explainable AI to find new metal alloys: https://www.hpcwire.com/bigdatawire/2026/03/24/data-driven-ai-framework-speeds-discovery-of-metals-built-for-extreme-conditions/
22. Moving an AI project from pilot to production is hard: https://www.informationweek.com/machine-learning-ai/why-ai-scaling-is-so-hard-and-what-cios-say-works
23. Yet another enormous AI data centre is to be constructed: https://www.theregister.com/2026/03/23/softbank_to_put_mega_server/
24. Suddenly, AI-generated bug reports are useful: https://www.theregister.com/2026/03/26/greg_kroahhartman_ai_kernel/
25. AI is taking over jobs one task at a time: https://www.theregister.com/2026/03/24/ai_job_unbundling/
26. Six ways AI can moderate online content: https://www.techtarget.com/searchcontentmanagement/tip/Types-of-AI-content-moderation-and-how-they-work
27. A global survey of attitudes towards AI shows continuing concerns: https://dataconomy.com/2026/03/25/anthropic-releases-worlds-largest-study-on-global-ai-attitudes/
28. Is AI derailing the upwards mobility of the working class? https: https://futurism.com/artificial-intelligence/doctor-reels-son-becomes-plumber-ai
29. AI-generated X-rays can now fool medical experts. What part of this seems like a good idea? https: https://dataconomy.com/2026/03/24/ai-generated-medical-scans-prove-nearly-indistinguishable-from-reality/
30. High-voltage DC power transmission can improve the efficiency of AI data centres: https://spectrum.ieee.org/data-center-dc

IEEE Transactions on Fuzzy Systems, Volume 34, Issue 4, April 2026

1) Guest Editorial: Special Section on Fuzzy Large Models: Bridging Uncertainty and Creativity

Author(s): H. Yu, Q. Liu, W. Pedrycz, J. Lu

Pages: 1039 - 1040

2) FMA-Net: Fuzzy Mutual Attention Networks for Fine-Grained Image Recognition

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

Pages: 1041 - 1052

3) Modeling Contexts in Trade-off Total Cost and Customer Satisfaction VRP via Large Language Models

Author(s): H. -W. Ding, Z. -S. Chen, Y. Yang, W. Ding

Pages: 1053 - 1063

4) Auditing Partial Dataset Usage in Large Language Models via Fuzzy Membership Aggregation

Author(s): H. Zhu, S. Liang, B. Chen, S. -L. Wang, Z. Zhang, W. Ding

Pages: 1064 - 1078

5) A Fuzzy Large TabNet-Based Model and Its Distillation Learning for Noisy-Labeled Data via Consequent Additive Decomposition

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

Pages: 1079 - 1094

6) LLM-Driven Multimodal Knowledge Graph Construction for Industrial Process With Prompt Optimization and Fuzzy RAG

Author(s): S. Xie, T. Yang, Y. Xie, H. Ying, Z. Wu

Pages: 1095 - 1108

7) Multiagent Fuzzy Reinforcement Learning With LLM for Cooperative Navigation of Endovascular Robotics

Author(s): T. Yao, Y. Xu, H. Wang, X. Qiu, K. Althoefer, P. Qi

Pages: 1109 - 1119

8) CoLLM: Industrial Large–Small Model Collaboration With Fuzzy Decision-Making Agent and Self-Reflection

Author(s): H. Wang, L. Ren, T. Zhao, L. Jiao

Pages: 1120 - 1130

9) External Retrievals or Internal Priors? From RAG to Epitome-Augmented Generation by Fuzzy Selection

Author(s): K. He, J. Xu, Q. Lin, W. Wang, Z. Gao, J. Wu, Y. Huang, M. Feng

Pages: 1131 - 1143

10) Incorporating Large Vision Model Distillation and Fuzzy Perception for Improving Disease Diagnosis

Author(s): Z. Gao, Q. Lin, H. Wen, B. Pu, M. Feng, K. Li

Pages: 1144 - 1154

11) Constraints Always Satisfied Parameters (CASPs) for Fuzzy Sets Optimization

Author(s): C. Chen, J. M. Mendel, J. M. Garibaldi

Pages: 1155 - 1164

12) Fuzzy Language Gaussian Splatting

Author(s): J. Ding, Z. Wang, Y. Liu, H. Zhu, J. Yang, M. Tan, Z. Yu

Pages: 1165 - 1174

13) FGM-MLSD: A Fuzzy Region Competition and Gaussian Mixture Segment Model via Modified Line Segment Detector Model for Airport Object Saliency Detection in Remote Sensing Images

Author(s): S. Yin, L. Wang, A. A. Laghari, L. Teng, G. Srivastava, A. Almadhor, T. R. Gadekallu

Pages: 1175 - 1186

14) Spatio-Temporal Gaze Regularity-Guided Dynamic Fuzzy Bayesian Network for Intention Inference

Author(s): Z. Yin, Z. Wan, S. Wu, Q. Zhu, S. Agaian, X. W. Sun

Pages: 1187 - 1201

15) A Knowledge-Guided Feature Fusion and Fuzzy Decision Integration Model for ECG-Based Cardiovascular Disease Diagnosis

Author(s): Y. Chen, S. Gao, J. Yang, T. Zhou, F. Fu, W. Ding

Pages: 1202 - 1216

16) Energy-Efficiency-Aware Fixed-Time Consensus Control for Distributed PMSM Systems

Author(s): Z. Liu, H. Zhang, J. Sun, Z. Liang

Pages: 1217 - 1228

17) Interval-Observer-Based Zonotopic Residual Fault Detection and Isolation for Lipschitz Nonlinear T-S Fuzzy Systems

Author(s): Y. Gao, Z. -Y. Wang, Y. Wang, Z. -H. Wang, J. H. Park

Pages: 1229 - 1241

18) DDHRPS: A Data-Driven Hierarchical Method for Constructing Random Permutation Set From the Perspective of Layer-2 Belief Structure

Author(s): L. Chen, X. Zhou, P. Gao, Z. Deng, Y. Yang, Y. Wu, P. D’Urso

Pages: 1242 - 1255

19) Autonomous Online Multistream Generalization via Fuzzy Joint Discriminant Analysis

Author(s): E. Yu, J. Lu, X. Yang, G. Zhang

Pages: 1256 - 1268

20) Relevancy-Reinforced Feature Selections Using Three-Improved Uncertainty Measures Based on Three-Way Fuzzy Multineighborhood Granulations

Author(s): X. Zhang, Q. Wang, D. Miao

Pages: 1269 - 1281

21) Bilevel Consensus in Large-Scale Group Decision Making: Integrating Structural Holes and Community Dynamics

Author(s): Z. Hua, S. Xu, J. Wang, J. Liu, L. Martinez

Pages: 1282 - 1294

22) Fuzzy Knowledge Perception With Fault Tolerance and Brain-Inspired Reasoning for Diagnosis of Ultrasound Images

Author(s): Q. Huang, S. Gao, G. Li, W. Wang

Pages: 1295 - 1306

23) Adaptively Weighted Residual-Driven Fuzzy $C$-Means for Image Segmentation in Presence of Mixed or Unknown Noise

Author(s): J. Jing, S. Qu, C. Wang, X. Li

Pages: 1307 - 1320

24) Target-Oriented Autonomous Fuzzy Model Adaptation in Multimodal Transfer

Author(s): K. Li, J. Lu, H. Zuo

Pages: 1321 - 1334

25) Trend-Aware-Based Type-2 Vector Fuzzy Neural Network for Nonlinear System Identification

Author(s): C. Sun, F. Fang, X. Wu, H. Han

Pages: 1335 - 1348

26) Knowledge Calibration Fusion and Label Space Graph Regularization-Based Multicenter Fuzzy Systems

Author(s): C. Wang, P. Qian, W. Cai, J. Yao, Y. -Z. Jiang, W. Hu, E. -Y. -K. Ng, S. Wang

Pages: 1349 - 1360

27) The Shapley Value of Cooperative Games on Concept Lattices With the Worth of Coalitions Represented by Intuitionistic Fuzzy Values

Author(s): L. Li, Q. Wang, Y. She, X. Feng, C. Chen

Pages: 1361 - 1371

28) Toward a Standardized Benchmark for EEG-Based Mobile Robots: A Fuzzy Comprehensive Evaluation Framework

Author(s): H. Li, Y. Chen, W. Ni

Pages: 1372 - 1384

Thursday, April 2, 2026

Complex & Intelligent Systems, Volume 12, Issue 3, March 2026

1) Intelligent collaboration: a predictive neural network for dynamic rescheduling in robotic cells

Author(s): Matthias Bues, Maurizio Faccio, Benjamin Wingert

2) Affine non-negative collaborative representation based pattern classification

Author(s): He-Feng Yin, Xiao-Jun Wu, Zi-Qi Li

3) 51% attack vulnerability of nascent blockchains: a comprehensive review

Author(s): Buti Sello, Jianming Yong, Xiaohui Tao

4) Efficient multilingual spam detection on resource-constrained devices: a comparative analysis of QLoRA fine-tuning of Gemma 3, Qwen 3, and Llama 3.2 models

Author(s): Hamza Rauf, Umair Khan, Aurang Zaib

5) A dynamic auxiliary task construction-based evolutionary multitasking algorithm for large-scale multiobjective optimization

Author(s): Jing Jiang, Pingping Tong, Benyue Su

6) Explainable multimodal hand gesture recognition using time-series image fusion and deep residual learning

Author(s): Shengyong Qiu, Liangjing Su, Yinan Zhong

7) A hybrid multi-stage optimization approach for multi-vehicle motion planning problems with lane changing

Author(s): Long Xiao, Ping Liu, Wenyan Ci

8) On circular p,q-quasirung orthopair fuzzy sets with their aggregation operators and application to green supplier selection

Author(s): Mehboob Ali, Yasir Akhtar, Miin-Shen Yang

9) CF-STAR: Highly compressible adapters for model merging via centralized task vectors

Author(s): Jialin Wu, Jian Yang, Zhiyong Yu

10) Kernelized fuzzy C means with recurrent convolutional network for brain tumor detection and classification from 3D MRI image

Author(s): V. Anitha

11) SFX-GAN: sustainable and explainable multi-modal spectral fusion for image dehazing in complex systems

Author(s): Pulkit Dwivedi, Vishakha Agarwal, Akram Bennour

12) Compressed action matrix: one-shot human action recognition using skeleton path data structure

Author(s): Mohammad Hassan Ranjbar, Ali AbdiJu Hong Park

13) A flexible linear temporal logic-based data inference architecture for industrial process prediction

Author(s): Xu Huo, Ruyu Liu, Xiufeng Liu

14) Semcm: semantic enhancement and multi-center modeling for maize leaf disease recognition

Author(s): Shiyi Tian, Jinxia Shang

15) Vision-tactile guided text generation using a lightweight transformer decoder for enhancing accessibility of the visually impaired

Author(s): Raniyah Wazirali

16) Cross-corpus language-independent speech emotion recognition using hybrid deep learning framework

Author(s): Ahmad Almadhor, Salem Belhaj, Iryna Ivanochko

17) A general learning rate improvement strategy for deep neural networks training

Author(s): Tingting Wu, Qingwei Dong, Manxue Guo

18) Improving efficiency of general surgery department by dynamic surgical scheduling with emergency uncertainty

Author(s): Yixin Tong, Zhi Li, Haixin Li

19) Multi-tier dynamic storage of KV cache for LLM inference under resource-constrained conditions

Author(s): Junliang Wang, Jiaqi Hu, Xiancheng Lin

20) An AI based framework using Aquila-optimized capsule network for radar object detection

Author(s): Aymin Javed, Nadeem Javaid, Abdul Khader Jilani Saudagar

21) Adaptive cooperative fencing and dynamic reorganization control of UAV swarm for multiple maneuvering targets

Author(s): Hao Yu, Xiu-xia Yang, Yi Zhang

22) Attention-enhanced safe reinforcement learning for metaverse user perception utility optimization in edge metaverse services

Author(s): Ziyue Wang, Ruidong Li, Dusit Niyato

23) TPSformer: knowledge graph representation learning with text and position structure for link prediction

Author(s): Yi Liu, Qingwang Wang, Tao Shen

24) Evolutionary multitask optimization with online knowledge transfer and probabilistic outlier detection

Author(s): Mengqi Gao, Ruilin Wang

25) UniMTES: a unified framework with trait-description-aware for multi-trait essay scoring

Author(s): Jingbo Sun, Weiming Peng, Jihua Song

26) Variational autoencoder-based spatio-temporal disentanglement for link prediction in dynamic graph

Author(s): Peng You, Shurui Xu, Jiapin Ren

27) Scientific symbol input assistant leveraging LLM-augmented hybrid neural prediction model

Author(s): Hao Ming, Xinguo Yu, Zhenquan Shen

28) Multi-agent collaborative incremental implicit mapping based on topological communication protocol

Author(s): Pan Li, Yilin Zheng, Zhigong Song

29) A new fault diagnosis model for complex systems based on interpretable belief rule base with fault tree analysis

Author(s): Bingxin Liu, Xiaoyu Cheng, Guohui Zhou

30) A decomposition-based Q-learning enhanced evolutionary algorithm for the transportation-assembly collaborative optimization problem

Author(s): Tong Hang, Zi-Qi Zhang, Jian-Bo Yang

31) Multi-scale tree-guided contrastive learning for structure-aware graph representation

Author(s): Jiajie Du, Lu Peng, Yonghang Wang

32) FIR-SDE: fast image restoration via mean-reverting stochastic differential equation

Author(s): Xin Shi, Zhengchao Xu, Wenhui Zhang

Wednesday, April 1, 2026

IEEE Transactions on Artificial Intelligence, Volume 7, Issue 4, April 2026

1) Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review

Author(s): H. Hassani, E. Hallaji, R. Razavi-Far, M. Saif, L. Lin

Pages: 1819 - 1834

2) Trending Applications of Large Language Models: A User Perspective Survey

Author(s): Y. Zhang, M. Zhao, Y. Zhang, Y. -m. Cheung

Pages: 1835 - 1852

3) CWPFormer: Toward High-Performance Visual Place Recognition for Robot With Cross-Weight Attention Learning

Author(s): Z. Li, P. Xu, T. Shang, W. Pei

Pages: 1853 - 1862

4) EMPOWER-KARE: Deep Prompt Learning for Knowledge-Aware Response Generation in Clinical Counseling and Legal Support Conversations

Author(s): P. Priya, A. M. Tripathi, D. Varshney, M. Firdaus, A. Ekbal

Pages: 1863 - 1873

5) Investigating Primacy Bias in Multiagent Reinforcement Learning: An Empirical Study

Author(s): J. Li, Y. Yang, Z. He, H. Wu, C. Zhao, K. -S. Hwang

Pages: 1874 - 1882

6) ARDIAL-BERT: Advancing Multidialectal Arabic Named Entity Recognition Through Continual Pretraining

Author(s): T. Alimi, R. Boujelbene, L. H. Belguith

Pages: 1883 - 1892

7) Dynamics Analysis and Control of Memristor-Based Hopfield Neural Networks Under Electromagnetic Radiation

Author(s): M. Wang, S. Zhu, W. Luo, Z. Zhang, C. Mu

Pages: 1893 - 1903

8) Multimodal Biometric Recognition System Based on Feature-Level Fusion of Dorsal Finger Crease and Finger Knuckle Print

Author(s): I. Riaz, A. Nazri Ali, H. Ibrahim, I. A. Huqqani

Pages: 1904 - 1916

9) A Dual Perspective of Reinforcement Learning for Imposing Policy Constraints

Author(s): B. De Cooman, J. A. K. Suykens

Pages: 1917 - 1930

10) Educational Knowledge Graph Question Answering: Insights From Benchmarks and LLM-Based Solutions

Author(s): R. Zhao, W. Zeng, J. Tang, F. Tian, X. Zhao

Pages: 1931 - 1941

11) A Conceptual Framework of AI Transparency From Sociotechnical Perspective

Author(s): C. Huang, Z. Wang, X. Wen, X. Wang, X. Yao

Pages: 1942 - 1955

12) CamoX: A Diffusion-Based Method With Few-Shot Learning for Environment-Guided Camouflage Pattern Generation

Author(s): T. T. P. Nguyen, T. Gulrez, J. B. Culpepper, S. L. Phung, H. T. Le

Pages: 1956 - 1971

13) Optimal Control of Unknown Nonlinear Systems via a Multimodel-Based Multistep Reinforcement Learning Framework

Author(s): S. Li, Y. Yang

Pages: 1972 - 1984

14) Enhanced Defect Detection Network: Leveraging Large Kernel and Dynamic Task Interaction for Precise Prediction

Author(s): S. Chan, Q. Miao, Y. Yao, H. Zhang, Z. Wang, X. Zhou

Pages: 1985 - 1996

15) Towards Vox Populi in Federated Learning: A Fair and Inclusive Client Selection Framework

Author(s): S. Arisdakessian, O. Wehbi, O. Abdel Wahab, A. Mourad, H. Otrok

Pages: 1997 - 2011

16) Mitigating Label Noise in Federated Learning With Regularized Features and Robust Loss

Author(s): G. F. Ejigu, K. Kim, C. S. Hong

Pages: 2012 - 2023

17) Attention-Guided Encoder–Decoder Design for Efficient RIS Phase Configuration in Time-Varying IoT Networks

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

Pages: 2024 - 2036

18) Offline Inverse Constrained Reinforcement Learning for Safe-Critical Decision Making in Healthcare

Author(s): N. Fang, G. Liu, W. Gong

Pages: 2037 - 2046

19) Adaptive Successor Features Composition for Transfer Reinforcement Learning

Author(s): K. Garces, J. Xuan, H. Zuo

Pages: 2047 - 2058

20) Air Quality Prediction With a Meteorology-Guided Modality-Decoupled Spatiotemporal Network

Author(s): H. Yin, Y. -M. Zhang, J. Xu, J. -L. Chang, Y. Li, C. -L. Liu

Pages: 2059 - 2072

21) Counterfactual Causal Inference of Biomedical Signals: Unveiling Causal EEG Patterns for ASD Evaluation

Author(s): Y. Wang, Y. Zuo, D. Chen, A. Y. Zomaya, R. Ranjan, J. Chen, T. Gao

Pages: 2073 - 2087

22) Fully Adaptive Multiscale Spatial–Temporal Recurrent Networks for Traffic Flow Prediction

Author(s): H. Liu, C. Zhu, D. Zhang, Q. Li

Pages: 2088 - 2101

23) Interclass and Intraclass Relationships Incorporated Knowledge Distillation for Continual Learning

Author(s): Q. Sui, L. Zhong, L. Ma, Z. Wang, Z. Lei, S. Gao

Pages: 2102 - 2111

24) Empowering Traditional Ensemble Learning Through Feature Learning and Wavelet Transforms for Environmental Analysis

Author(s): P. M. Conforti, P. Nardelli, A. Fanti, P. Russo

Pages: 2112 - 2126

25) Online Multilabel Streaming Feature Selection Based on Agglomeration Degree and Local-Global Correlation

Author(s): Q. Li, W. Yang, J. Dai

Pages: 2127 - 2141

26) Dynamic Belief Rule Learning for Classification With Expert in the Loop

Author(s): L. Jiao, X. Ma, H. Zhang, J. Wu, H. Ma

Pages: 2142 - 2156

27) Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors

Author(s): D. Zanca, A. Zugarini, S. Dietz, T. R. Altstidl, M. A. T. Ndjeuha, M. Chakraborty, N. V. S. J. Jami, L. Schwinn, B. M. Eskofier

Pages: 2157 - 2170

28) DDD-GenDT: Dynamic Data-Driven Generative Digital Twin Framework

Author(s): Y. -Z. Lin, Q. Shi, Z. Yang, B. S. Latibari, S. Satam, S. Shao, S. Salehi, P. Satam

Pages: 2171 - 2185

29) Explainable and Position-Aware Learning in Digital Pathology

Author(s): M. Aryal, N. Y. Soltani, M. Ganji

Pages: 2186 - 2195

30) TransWaveNet: Transformer for Underwater Image Restoration with Wavelets

Author(s): P. Mishra, M. Raqib Khan, S. S. Phutke, S. K. Vipparthi, S. Murala

Pages: 2196 - 2207

31) Point Cloud Simplification Method Based on Frequency Domain Coding

Author(s): Z. Wu, T. Chen, D. Li, J. Liu, H. Wang, P. Liu, Y. Qi

Pages: 2208 - 2224

32) Modality-Specific Knowledge Distillation With Wasserstein Distance Minimization for Vision-Language Pretrained Models

Author(s): L. -H. Lee, H. -M. Shih, J. Wang

Pages: 2225 - 2237

33) Towards Generalizable Meta-Deep Reinforcement Learning Algorithm for Multiobjective Traveling Salesman Problems

Author(s): X. Fu, S. Gu, C. -M. Chew, T. Li

Pages: 2238 - 2252

34) Generative Models for Time Series Anomaly Detection: A Survey

Author(s): J. Cao, J. Miao, H. Tao, Y. Wang, J. Wu, Z. Wang, X. Wu

Pages: 2253 - 2275

35) Instance-Wise Joint Feature and Expert Decision Acquisition for Classification

Author(s): S. P. Ekanayake, D. -S. Zois, N. D. Wickramasinghe

Pages: 2276 - 2291

36) EEGcMamba: EEG Clustering via State Space Model

Author(s): J. Chen, D. Pi, X. Jiang, F. Gao, Q. Yang, Y. Chen

Pages: 2292 - 2306

37) CIGformer: Leveraging Continuous Information Guidance in Transformer-Based Pansharpening

Author(s): H. Zhu, Y. Wang, X. Li, B. Hou, B. Ren, Y. Meng, K. Chen, L. Jiao

Pages: 2307 - 2320

38) Toward Quantum Image Generation on Single Qubit Using Quantum Information Bottleneck

Author(s): Y. Zhu, V. Aggarwal, D. Konar, Y. Pashkin, P. Angelov, R. Jiang

Pages: 2321 - 2331

39) Securing IoT: Unveiling Attacks With Multiview-Multitask Learning

Author(s): U. B. Clinton, N. Hoque, S. Raza, M. Bhuyan

Pages: 2332 - 2345

40) Ent-BAM: A Generative Framework for Biomedical Argument Mining Enriched With Entity Information

Author(s): N. Das, Y. S. Choudhary, V. V. Saradhi, A. Anand

Pages: 2346 - 2356

41) Physical Reservoir Computing for Optical Stethoscope-Based Heart Sound Biometric Identification

Author(s): Y. Ding, H. Li, X. Liang, M. Vaskeviciute, D. Faccio, H. Heidari

Pages: 2357 - 2370

42) HEAL: Brain-Inspired Hyperdimensional Efficient Active Learning

Author(s): Y. Ni, Z. Zou, W. Huang, H. Chen, W. Y. Chung, S. Cho, R. Krishnan, P. Mercati, M. Imani

Pages: 2371 - 2386

43) Embodied Navigation in Unknown Environments With Implicit Scene Memory and Target-Aware Memory Retrieval

Author(s): Q. Liu, Y. Li, Y. Xu, L. Han, Z. Liu, H. Wang

Pages: 2387 - 2400

44) S-NODE: Explicit and Reversible Image Translation Encoding With Neural ODEs

Author(s): X. Wang, D. Pang, Z. You, X. Guan, X. Le

Pages: 2401 - 2411

45) A Simple and Effective Architecture Selection Method for Differentiable Architecture Search

Author(s): B. Chen, L. Yang, Z. Zheng, F. Li, S. Song, G. Huang, C. Shen

Pages: 2412 - 2422

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