Soft Computing, Volume 30, Issue 7, July 2026

1) A Lagrange interpolation-based optimization algorithm for numerical optimization and spacecraft trajectory problems

Author(s): Apu Kumar Saha, Sanjoy Chakraborty, Sushmita Sharma

Pages: 4569 - 4602

2) Generalizations of k-generated implications

Author(s): Jing Jing Yue, Xue-ping Wang

Pages: 4603 - 4612

3) Lifting filters in residuated lattices and their applications in multi-valued decision-making

Author(s): Saeed Rasouli

Pages: 4613 - 4633

4) Conservation laws and exact solutions for option pricing model with fuzzy parameters

Author(s): Mohammad Hossein Seifi, Elham Dastranj, Hossein Sahebi Fard

Pages: 4635 - 4644

5) A new technique for developing triangular norms and triangular conorms on bounded lattices

Author(s): Gül Deniz Çaylı

Pages: 4645 - 4658

6) Adaptive neuro-fuzzy inference system technique-based channel equalization for software-defined radio systems

Author(s): Nikhil Kumar Marriwala, Priya Dasarwar, S. L. Jany Shabu

Pages: 4659 - 4683

7) A blended sentiment analysis, large language model, and multi-criteria decision-making (BSLMM) approach to sustainable product innovation

Author(s): C. Y. Ng, Yuk Ming Tang, G. T. S. Ho

Pages: 4685 - 4701

8) Simulation analytics as an eco-systemic approach to the nonlinear dynamic response of artificial adaptive systems: A toolkit

Author(s): M. Buscema, G. Massini, P. L. Sacco

Pages: 4703 - 4741

9) A comparative analysis of capable metaheuristic algorithms for closed-loop supply chain design focusing on fixed-cost solid transportation

Author(s): Davoud Ghandalipour, Golara Chaharmahali, Mostafa Hajiaghaei-Keshteli

Pages: 4743 - 4763

10) A third-order-convergence improved Newton method and its numerical performance

Author(s): Saheya Barintag, Juan Hu, Jein-Shan Chen

Pages: 4765 - 4782

11) Modeling and solving a multi-facility location-relocation problem considering two dynamic probabilistic line barriers

Author(s): Saber Shiripour, Nezam Mahdavi-Amiri

Pages: 4783 - 4817

12) Fuzzy multi-criteria group decision-making method based on triplet-composed preference considering the group-level uncertainty in design evaluation

Author(s): Jin Qi, Jin Ma, Bin Chen

Pages: 4819 - 4837

13) Pricing strategy with warranty and risk-averse flexibility in sustainable supply chain: a remanufacturing process under demand uncertainty

Author(s): Soumyadeep Bej, Ishani Ray, Samarjit Kar

Pages: 4839 - 4864

14) Improved Mask R-CNN for defect detection in aluminum alloy rims

Author(s): Ming-Tsung Yeh, En-Tzu Wu, Yen-Ting Lu

Pages: 4865 - 4891

15) Numerical simulation of laminar viscous MHD flow in a semi-porous channel using smooth pseudo-spectral methods

Author(s): Soner Aydinlik, Ahmet Kiris, Pradip Roul

Pages: 4893 - 4907

16) Investigation of multivariate analysis of surface-enhanced Raman scattering spectra using simple machine-learning models: prediction of the composition of mixed self-assembled monolayer on gold surface

Author(s): Ryosuke Nishitsuji, Daiki Kawasaki, Tatsuro Endo

Pages: 4909 - 4918

17) An energy-aware and fault-tolerant deep reinforcement learning-based approach for multi-agent patrolling problems

Author(s): Chenhao Tong, Aaron Harwood, Richard O. Sinnott

Pages: 4919 - 4944

18) A method related to personality traits that detects learning challenges through physiological signals

Author(s): Jai-Rou Lin, Chun-Hsiung Tseng, Andrew Chih-Wei Huang

Pages: 4945 - 4955

19) FedLSTM-AQI: a federated deep learning framework for air quality index prediction

Author(s): Jaspal Kaur Saini, Manpreet Singh, Divya Bansal

Pages: 4957 - 4970

20) Forecasting bitcoin prices based on hybrid LSTM and deep neural network architectures

Author(s): Chae-Deug Yi, Giltae Song

Pages: 4971 - 4990

21) CC-ELM: a compression-coefficient-based extreme learning machine for enhanced load forecasting in electric vehicle charging stations

Author(s): Lyuchao Liao, Weidong Zou, Weipeng Cao

Pages: 4991 - 5003

22) Multi-platform air defense hierarchical task allocation method based on a genetic type algorithm

Author(s): Wencong She, Yixin Zhao, Panos M. Pardalos

Pages: 5005 - 5023

23) Bootstrapping for fuzzy mediation and moderated-mediation analysis using Fuzzy Lease Squares Estimation (FLSE) and Fuzzy Least Absolute Deviations (FLAD) with evolutionary algorithms

Author(s): Da Jeong Kang, Hyeon Gu Kang, Jin Hee Yoon

Pages: 5025 - 5045

24) Importance of quantum technology in economy paradigm shift

Author(s): Mohammed Aljaafari, Salihah Alotaibi

Pages: 5047 - 5070

25) Quantum computing for social business optimization: a practitioner’s perspective

Author(s): Mohammed Aljaafari

Pages: 5071 - 5093

26) A novel approach of localization with single mobile anchor using quantum-based Salp swarm algorithm in wireless sensor networks

Author(s): Shalli Rani, Himanshi Babbar, Asif Ali Khan

Pages: 5095 - 5109

27) Successful adoption of quantum technology in blockchain: a comprehensive framework

Author(s): Muteeb Alahmari

Pages: 5111 - 5126

28) A two-stage entity event deduplication method based on graph node selection and node optimization strategy

Author(s): Wei Ai, Jia Xu, Keqin Li

Pages: 5127 - 5140

29) A truncated patch-group-based hierarchical reconstruction model for color image compressive sensing

Author(s): Abhishek Jain, Preety D. Swami, Ashutosh Datar

Pages: 5141 - 5155

30) Interpretation of seizure dynamics using fuzzy-based neural computational modelling

Author(s): Banu Priya Prathaban, Subash Rajendran, W. T. Chembian

Pages: 5157 - 5171

31) Hybrid feature selection and BWTDO enabled DeepCNN-TL for intrusion detection in fuzzy cloud computing

Author(s): Meghana G. Raj, Santosh Kumar Pani

Pages: 5173 - 5192

32) Improved quality of service with fuzzy-based optimised resource allocation with energy consumption-based IoT network application

Author(s): VijayaKumar Chandarapu, Madhavi Kasa

Pages: 5193 - 5203

33) VANET security enhancement in cloud navigation with Internet of Things-based trust model in deep learning architecture

Author(s): R. Gnanajeyaraman, U. ArulT. Manikandan

Pages: 5205 - 5216

34) Machine learning based novel frameworks developments and architectures for secured communication in VANETs for smart transportation

Author(s): Rakhi Chakraborty, Sunil Kumar, Gordhan Jethava

Pages: 5217 - 5227

35) Intelligent analytics algorithms in breach detection systems for securing VANETs and data for smart transportation management

Author(s): J. BhuvanaHina Hashmi, Durgesh Wadhwa

Pages: 5229 - 5241

36) AI-based efficient wireless technologies and infrastructure-based networks with VANET for smart transportation high performance

Author(s): Xiong Xia, Xin Li, Quan Huang

Pages: 5243 - 5256

37) A novel weight-optimized LSTM for dynamic pricing solutions in e-commerce platforms based on customer buying behaviour

Author(s): S. Suresh Kumar, Martin Margala, Prasun Chakrabarti

Pages: 5257 - 5269

38) Value of CT examination combined with serum tumor markers assisted with artificial intelligence diagnostic system in the diagnosis of benign and malignant pulmonary nodules

Author(s): Wei Fan, Huitong Liu, Bingqiang Xu

Pages: 5271 - 5278

39) A novel hybrid encryption method using S-box and Henon maps for multidimensional 3D medical images

Author(s): K. C. Prabu Shankar, S. Prayla Shyry

Pages: 5279 - 5289

40) Soft computing in computer network security protection system with machine learning based on level protection in the cloud environment

Author(s): Merin Thomas, Mohan Vishal Gupta, Shailee Lohmor Choudhary

Pages: 5291 - 5302

41) DeepAID: a design of smart animal intrusion detection and classification using deep hybrid neural networks

Author(s): S. Sajithra Varun, G. Nagarajan

Pages: 5303 - 5314

42) Evaluation of soft computing in methodology for calculating information protection from parameters of its distribution in social networks

Author(s): Pooja Sapra, Divya Paikaray, Shambhu Bhardwaj

Pages: 5315 - 5325

43) Scrutinizing the available SRGMs in the backdrop of open-source software while offering a way-out

Author(s): Shiva Tyagi, Rajendra Kumar Bharti, Sachin Kumar

Pages: 5327 - 5342

Friday, August 21, 2026

Weekly Review 21 August 2026

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

1. Meta comes out on the side of open AI models: https://www.rnz.co.nz/news/world/971653/meta-just-picked-a-side-in-a-big-debate-over-the-future-of-ai
2. India wants to use AI to approve loans for those who wouldn't otherwise get them. Because 2008 didn't really happen: https://www.theregister.com/ai-and-ml/2026/08/12/indias-central-bank-wants-ai-to-approve-loans-that-humans-would-reject/5286572
3. AI isn't going to take your job just yet, but it will give your boss a perfect reason to not give you a pay rise: https://www.stuff.co.nz/money/361020380/ai-isnt-taking-your-job-it-just-gave-your-boss-perfect-excuse-something-else
4. Businesses are struggling to re-hire staff lost when AI doesn't deliver: https://www.informationweek.com/it-staffing-careers/the-ai-boomerang-why-rehiring-is-harder-than-letting-go
5. AI is helping make fossil fuel fields more productive, which is boosting emissions at a greater rate than AI can reduce them with green energy: https://www.theguardian.com/technology/2026/aug/11/ai-will-do-more-to-boost-fossil-fuel-production-than-green-energy
6. Spotify will be labelling and no longer recommending AI performers: https://www.theguardian.com/technology/2026/aug/11/spotify-label-ai-artists-block-them-from-some-playlists
7. Microsoft cannot fix security flaws in its software anywhere near as quickly as AI can find them: https://www.computerworld.com/article/4207441/ai-finds-so-many-windows-flaws-microsoft-cant-keep-up-should-you-worry.html
8. Pakistan has trialled AI in court rooms, and found some modest improvements: https://spectrum.ieee.org/judgegpt-experiment
9. AI hiring agents at Google are failing miserably: https://futurism.com/future-society/google-hr-resume-applicants-deepmind-ai-hiring
10. AI detector tools just don't work, and we can't use good writing as a basis of suspicion: https://www.bbc.com/news/articles/crelev8gw5xo
11. AI do not make good agricultural advisors, or, don't act on advice from an AI without independently verifying it first: https://futurism.com/science-energy/farmer-horrified-ai-advice-agriculture-crops-sesame
12. I do wonder how "invisible" a watermark in AI generated text actually is: https://www.computerworld.com/article/4208149/anthropic-will-begin-watermarking-ai-generated-content.html
13. More on watermarking AI generated text: https://www.extremetech.com/internet/anthropic-to-add-invisible-watermarks-to-claude-generated-text
14. AI agents continue to be used in attacks on systems: https://www.theregister.com/security/2026/08/12/near-autonomous-ai-agents-attack-taiwans-nuclear-safety-agency/5287055
15. Concern is being raised over AI rotting medical doctors' ability to reason: https://futurism.com/artificial-intelligence/doctors-med-students-brains-ai
16. A new approach to poisoning data scraped from the web for AI training: https://arstechnica.com/ai/2026/08/new-font-turns-ordinary-webpages-into-nonsense-for-ai-scrapers/
17. Alibaba is using AI to work out which support requests it shouldn't use AI to deal with: https://www.theregister.com/ai-and-ml/2026/08/11/alibaba-cloud-is-using-ai-to-help-it-use-less-ai/5285815
18. Using AI for peer review is a threat to effectiveness and integrity of the peer review process: https://arstechnica.com/science/2026/08/peer-review-is-overwhelmed-can-it-survive-in-the-ai-era/
19. Scammers are creating fake websites based on the hallucinated websites promoted by AI: https://spectrum.ieee.org/ai-cyberattacks-llm-slop-squatting
20. In New Zealand law, data on an individual is owned by the individual. It is less clear who owns the data associated with a culture, especially when that data is used to train AI: https://www.rnz.co.nz/news/te-ao-maori/934607/maori-data-in-maori-hands-experts-want-google-to-adhere-to-data-sovereignty-principles
21. AI is changing jobs, but not eliminating jobs as was previously feared: https://www.theguardian.com/technology/2026/aug/12/ai-job-destruction
22. We are really not freaking out enough about AI simply hacking systems to please their users, even if it was an insecure API: https://www.theregister.com/ai-and-ml/2026/08/10/gym-rat-asks-ai-agent-to-book-him-a-class-it-hacks-a-waitlist-api-to-bump-him-up-the-list/5285591
23. AI are not responsible for the damage they cause, the people who use them are: https://www.theguardian.com/technology/2026/aug/13/ai-agents-arent-legally-responsible-for-any-harm-that-they-cause-experts-say-so-who-is
24. As I thought, fighting bacterial infections is an excellent use-case for AI designed viruses: https://www.hpcwire.com/bigdatawire/2026/08/12/ai-turns-genomic-data-into-16-new-bacteria-killing-viruses/

Friday, August 14, 2026

Weekly Review 14 August 2026

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

1. I don't think reformatting research papers to make them easier for AI to process is going to solve the problems with using AI as a research assistant: https://spectrum.ieee.org/ai-scientist-research-paper-format
2. Teachers' unions are having to retrain their members to deal with AI in the classroom: https://www.theguardian.com/technology/2026/aug/05/teachers-unions-ai-training
3. Modern AI are research assistants, not researchers: https://www.hpcwire.com/bigdatawire/2026/08/05/why-ai-still-hasnt-had-its-einstein-moment/
4. Growing support for a kill switch for AI: https://www.techtarget.com/ai/news/366647544/AI-Kill-Switch-Act-What-it-means-for-enterprise-leaders
5. AI hacking each other, I really didn't expect to wake up in Neuromancer this year: https://www.rnz.co.nz/news/world/894586/openai-anthropic-ai-agents-implicated-in-new-security-breaches
6. Ad servers are now giving AI crawlers tailored ads, to influence what the AI trained on the data later says and does: https://www.theregister.com/ai-and-ml/2026/08/05/time-magazine-has-a-separate-version-of-its-website-with-ads-only-ai-can-see/5283640
7. When Sam Altman starts saying we need to slow down the rate of development of AI, we really need to slow right down with AI: https://techcrunch.com/2026/08/02/sam-altman-and-ais-decel-debate/
8. Microsoft's investment in AI is paying off better than Meta's is: https://www.techrepublic.com/article/news-microsoft-meta-ai-spending/
9. We need to be freaking out more about AI going rogue, but what exactly can be done about it is unclear: https://www.stuff.co.nz/world-news/361015037/multiple-ais-are-going-rogue-what-hell-do-we-do-now
10. Simple text generated by AI is easier to understand than similar text written by humans. Emphasis on simple: https://www.theguardian.com/technology/2026/aug/05/ai-generated-stories-rated-better-quality-than-human-written-ones-study-finds
11. AI designed biological viruses are scary, but I suspect the technology will end up being very useful for fighting antibiotic resistant bacteria: https://www.stuff.co.nz/world-news/361017203/ai-creates-neverbeforeseen-virus
12. I once had a Master's student who tricked several AI into producing better phishing emails, so it's not surprising that AI guardrails are so easy to bypass: https://www.theregister.com/security/2026/08/04/bypassing-ai-guardrails-is-so-easy-a-script-kiddie-can-do-it/5282973
13. AI exam monitoring failed so badly in a major university entrance exam that students must now sit an in-person exam: https://arstechnica.com/culture/2026/08/an-ai-supervised-remote-exam-went-so-badly-that-58000-students-must-retake-it/
14. AI is finding more bugs, leading to Microsoft paying out record amounts in bounties: https://www.theregister.com/security/2026/08/04/ai-helps-microsoft-bug-hunters-chase-a-record-20m-payday/5282821
15. New Zealand is adding AI as a high school subject: https://www.stuff.co.nz/nz-news/361016430/schools-offer-nine-new-industry-led-subjects-2029-under-government-plan
16. AI use in the British NHS is increasing substantially: https://dataconomy.com/2026/08/05/90-percent-nhs-staff-use-ai-clinical-work/
17. Just because a software framework is for AI agents, doesn't mean the vendors shouldn't pay attention to producing secure software: https://www.theregister.com/security/2026/08/05/prompt-injection-isnt-the-bug-ai-agent-frameworks-are/5283585
18. Educators can't rely on AI detectors, so the assessments themselves have to be redesigned: https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2026/08/05/ai-detectors-are-out-new-approaches-are
19. Spending on AI continues to grow, but the returns from that spending are not: https://www.techrepublic.com/article/news-apac-ai-spending-roi-proof/
20. How to properly use AI to translate websites: https://dataconomy.com/2026/08/04/how-to-use-ai-for-website-translation-the-right-way/
21. Inconsistencies in YouTube's policies on AI-generated content: https://arstechnica.com/ai/2026/08/hank-green-found-the-ai-problem-that-youtube-labels-cant-catch/
22. Pushing more of the work in education onto AI will not solve the problems caused by AI in education: https://www.theregister.com/ai-and-ml/2026/08/04/openai-wants-teachers-and-profs-to-foist-their-work-off-on-chatgpt/5283064
23. An AI for early detection of Alzheimer's disease: https://dataconomy.com/2026/08/04/new-ai-could-detect-alzheimers-earlier/
24. Large-scale AI needs large-scale nuclear power, otherwise the pollution it causes is only going to get worse: https://futurism.com/future-society/ai-data-centers-air-pollution-generators-worse

Thursday, August 13, 2026

IEEE Transactions on Cognitive and Developmental Systems, Volume 18, Issue 4, August 2026

1) Hybrid Predictive Network-Based Multiagent Reconnaissance Game With Limited Perception

Author(s): X. Shen, B. Hu, Z. -H. Guan, D. Zhang, T. Li

Pages: 858 - 872

2) Low-Dimensional Matrix Discriminant Analysis of EEG Network Connectivity on Riemannian Manifolds for Emotion Recognition

Author(s): H. Fang, M. Wang, Z. Zhang, Y. Wang, Y. Yang

Pages: 873 - 887

3) Learning Expressive Task Embeddings and Sample-Efficient Exploration for Context Shift Reduction in Offline Meta-Reinforcement Environment

Author(s): H. Wang, X. Tan, T. Yao, Z. Fang, P. Qi, X. Qiu

Pages: 888 - 903

4) Efficient Attention-Based Learning Network for Object-Task Affordance Graph Generation in Robotic Manipulation Cognition

Author(s): Z. Wang, J. Lu, S. Guo

Pages: 904 - 915

5) Exploiting Expertise of Non-Expert and Diverse Agents in Social Bandit Learning: A Free Energy Approach

Author(s): E. Mirzaei, S. P. Shariatpanahi, A. Tavakoli, R. Hosseini, M. N. Ahmadabadi

Pages: 916 - 928

6) Human-Like Robot Impedance Regulation Skill Learning From Human–Human Demonstrations

Author(s): C. Li, X. Wu, Y. Chen, T. Teng, X. Zhang, S. Calinon, D. Caldwell, F. Chen

Pages: 929 - 942

7) Spiking Neural Network Feature Discrimination Boosts Modality Fusion

Author(s): K. M. Oikonomou, I. Kansizoglou, A. Gasteratos

Pages: 943 - 955

8) Visual Reinforcement Learning With Multi-objective Representation Alignment

Author(s): Y. Ma, Y. Cheng, J. Zhang, X. Wang

Pages: 956 - 967

9) Boosting Extrapolation Capabilities in Model-Free Offline Reinforcement Learning

Author(s): Z. Wang, W. Jiang, Z. Liu, X. Lan

Pages: 968 - 982

10) PS-KD: PatchMix Simulation for High-Fidelity Knowledge Distillation

Author(s): J. Xu, C. Wang, S. Lin, Y. Xie, J. Qian, J. Wu, Y. Li

Pages: 983 - 996

11) A Developmentally Staged Transformer Framework for Progressive Cognitive Learning in Language Understanding

Author(s): V. Jothi Prakash, S. Arul Antran Vijay, G. Sundaram, G. Pugalendhi

Pages: 997 - 1012

12) Aligned Pseudo Feature Generation for Zero-Shot Object Detection

Author(s): X. Dai, Z. Li, C. Wang, Y. Lu, Y. Chen, J. Qian, J. Wu

Pages: 1013 - 1027

13) CSPER: Curiosity-Driven Safety-Prioritized Experience Replay for Mapless Navigation Using Deep Reinforcement Learning

Author(s): W. Xiao, L. Yuan, T. Ran, L. He, J. Zhang, J. Cui

Pages: 1028 - 1042

14) FIT: Future-Aware Imitation Transformer for Long-Horizon Robotic Manipulation

Author(s): Y. Salam, Y. Li, R. I. Nessouk, J. Yang

Pages: 1043 - 1056

15) Continuous Symbol Emergence via Decentralized Bayesian Inference With Gaussian Processes

Author(s): Z. You, I. Saito, M. Nagano, T. Nakamura, A. Taniguchi, T. Taniguchi

Pages: 1057 - 1069

16) HeteFedEEG: Prototype-Transfer Heterogeneous Federated Learning for EEG-Based Emotion Recognition

Author(s): H. Liu, Y. Zhang, C. Xie, T. Lou, W. Feng, D. Zhang

Pages: 1070 - 1082

17) Object Detection With Spiking Neural Networks on Event Videos for Driving Scenarios

Author(s): S. Gao, Y. Tao, A. Gruel, S. Saïghi, C. -H. Chang

Pages: 1083 - 1098

18) Personalized Federated EEG Decoding With Structured Graph-Based Guidance

Author(s): W. Hang, J. Li, J. Wang, S. Liang, Q. Wang, B. Lei, G. Li, B. Chen, J. Qin

Pages: 1099 - 1112

19) PlanAgent: A Multimodal Large Language Agent for Closed-Loop Vehicle Motion Planning

Author(s): Y. Zheng, Z. Xing, Q. Zhang, B. Jin, P. Li, Y. Zheng, Z. Xia, Y. Chen, D. Zhao

Pages: 1113 - 1126

Monday, August 10, 2026

Complex and Intelligent Systems, Volume 12, Issue 8, August 2026

1) A multi-scale classification framework for pathological image diagnosis

Author(s): Peihe Jiang, Yukun Xu, Ning Lu

2) Improved ordering and aggregation operators for circular intuitionistic fuzzy sets in multi-criteria decision-making

Author(s): Dian Pratama, Binyamin Yusoff, Faishal Al-Sharqi

3) NLOS identification and error mitigation algorithms for indoor positioning: a review

Author(s): Suying Jiang, Ruibiao Zhang, Hui Gao

4) RSGM: a multi-modal image matching scheme guided by regional semantics

Author(s): Fangwei Jin, Yun Liao, Qing Duan

5) Few-shot LoRA tuning for genre-specific music generation with semantic prompt matching

Author(s): Suwook Lee, Myeonghoon Jin, Yunsick Sung

6) A study on synthetic-to-real generalization of depth estimation and semantic segmentation joint networks on aerial images

Author(s): Yara AlaaEldin, Francesca Odone, Mohamed Maher Ata

7) DPMT-Net: a dual-prompt attention multi-task 3D network for joint nodule segmentation and malignancy prediction in lung CT scans

Author(s): Debopom Sutradhar, Ripon Kumar Debnath, Sami Azam

8) Multi-domain fusion meta-model for digital twin in precision manufacturing: design, implementation and verification

Author(s): Qingxin Li, Peng Zeng, Hualiang Zhang

9) Hybrid CNN-transformer with adaptive multi-scale fusion for tiny PCB defect identification

Author(s): Yunfei Yan, Gengliang Chen, Xiaojiang Peng

10) Topological feature engineering and persistent homology hybrid deep learning model for time-series prediction

Author(s): Zixin Lin, Nur Fariha Syaqina Zulkepli, R. U. Gobithaasan

11) A health state assessment method for new energy vehicles based on an ensemble belief rule base with dual-adaptive feature selection

Author(s): Shuyin Nan, Xingchi Yan, Manlin Chen

12) Mia-grl: mutual information aligned generative reinforcement learning with missing data

Author(s): Ao Ma, Peng Li, Shaofei Chen

13) From synthetic data to actionable insights: fault detection in industry

Author(s): Raed Alharbi

14) Enhancing emotion recognition through three modalities fusion and contrastive learning with the Mamba architecture

Author(s): Qianjun Shuai, Xiaohao Chen, Yongqiang Cheng

15) Cambackdoor: a self-supervised backdoor attack method against CLP pruning defense

Author(s): Fan Zhang, Jianpeng Li, Wenhe Zhao

16) Application of the FDIS-BiGRU deep learning model based on frequency domain interaction in ship trajectory prediction

Author(s): Zelin Song, Yanyun Yu, Lixing Li

17) A niche-based multiobjective evolutionary algorithm for constrained multiobjective optimization with application to power dispatch problems

Author(s): Yuqiao Yang, Jiangbo Wang

18) Data-driven causal reasoning for eco-driving behavior analysis in public transportation systems

Author(s): Zhipeng Ma, Bo Nørregaard Jørgensen, Zheng Grace Ma

19) A novel optimistic multi-granulation roughness of pythagorean fuzzy set for medical decision analysis via soft relations over dual universes

Author(s): Shahida Bashir, Muhammad Shabir, A. Almutairi

20) Advanced sentiment analysis approaches with decision-making models and picture fuzzy rough environments

Author(s): Abrar Hussain, Amina Kiran, Dragan Pamucar

21) Correction: Metalinguist: enhancing hate speech detection with cross-lingual meta-learning

Author(s): Ehtesham Hashmi, Sule Yildirim Yayilgan, Mohamed Abomhara

22) FreqAlignNet: bridging local detail and global semantics via frequency-aligned representation for steel defect detection

Author(s): Yuzhen Zhao, Xun Li, Baoxi Yuan

Friday, August 7, 2026

Weekly Review 7 August 2026

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

1. Some jobs that are less likely to be replaced by AI, and why: https://www.stuff.co.nz/world-news/361013227/rogue-chatgpt-tried-hack-other-companies-says-openai
2. An AI hedge-fund just imploded: https://futurism.com/artificial-intelligence/situational-awareness-ai-investor-crumbling
3. Researchers used AI to analyse accounts of dreams: https://www.theregister.com/offbeat/2026/07/29/ai-digs-through-3700-accounts-of-dreams-and-waking-life-finds-method-in-the-madness/5279775
4. AI detectors are pretty much useless, but other factors can lead to educators suspecting the use of AI, despite legal action from students: https://arstechnica.com/tech-policy/2026/07/how-a-yale-ai-cheating-dispute-became-a-13-count-federal-lawsuit/
5. All AI generated content must be labelled as such, under new EU rules: https://www.theguardian.com/technology/2026/jul/31/ai-labels-to-be-compulsory-on-authentic-looking-content-under-eu-rules
6. Different policies on AI use by different law schools: https://www.insidehighered.com/opinion/views/2026/07/30/law-schools-are-asking-wrong-question-about-ai-opinion
7. Not all students use AI, some are quite opposed to it: https://www.insidehighered.com/opinion/career-advice/teaching/2026/07/30/students-conscientious-objectors-gen-ai-opinion
8. Why open AI models are important: https://www.computerworld.com/article/4202408/qa-nvidia-genai-chief-explains-why-open-models-matter-in-ai.html
9. AI is exacerbating the digital divide: https://spectrum.ieee.org/ai-digital-divide
10. The good, the bad, and the ugly in AI use in New Zealand schools: https://www.rnz.co.nz/news/education/836125/teachers-worried-about-critical-thinking-as-ai-becomes-widespread-in-schools
11. Seriously, we are not freaking out enough about AI that can jailbreak itself: https://www.stuff.co.nz/world-news/361013227/rogue-chatgpt-tried-hack-other-companies-says-openai
12. Destroying books just so the contents can be used to train AI really does not sit well with me: https://www.theguardian.com/technology/2026/aug/02/australian-book-sellers-alarm-destruction-rare-titles-ai-supply-chain
13. Suspected use of AI sees an upcoming novel withdrawn, not because of the publisher's ethics but because of copyright concerns: https://futurism.com/artificial-intelligence/major-publisher-million-book-deal-author-accused-ai
14. AI companies can't just take anyone's work and base their outputs on it: https://arstechnica.com/tech-policy/2026/07/artist-sues-ai-meme-generator-for-selling-deeply-personal-comic-as-ad-template/
15. Although they can't do what modern AI does, these machine learning algorithms are still useful: https://www.kdnuggets.com/7-machine-learning-algorithms-that-still-matter
16. Pivoting hard to AI isn't doing Meta much good: https://futurism.com/artificial-intelligence/mark-zuckerberg-pivot-ai-blowing-up-face
17. LinkedIn is finally giving its users the ability to reduce the amount of AI slop they have to deal with: https://www.theregister.com/ai-and-ml/2026/07/30/linkedin-realizes-its-users-have-been-bathing-in-ai-slop-offers-a-shower/5281436
18. If your AI attacks other companies, who is liable: https://arstechnica.com/security/2026/07/likely-illegally-claude-gained-access-to-3-networks-will-anthropic-be-held-to-account/
19. It is yet to be determined who, if anyone, is legally responsible when an AI attacks another company: https://www.theregister.com/legal/2026/07/30/excuses-like-ai-did-it-dont-exist-in-the-eyes-of-the-law/5280767
20. If you want to see the future impact of AI on the job market, look at what's happening in China: https://www.theguardian.com/world/2026/jul/31/china-ai-jobs-workers-labour-market-technology
21. A new method for poisoning the data scraped from webpages for training AI: https://www.theregister.com/ai-and-ml/2026/07/30/open-source-project-fools-ai-scrapers-with-poisoned-font/5281303
22. Meta claims AI is speeding software development, but doesn't back it up with data: https://www.techrepublic.com/article/news-meta-ai-software-development-apps/
23. Semantics are becoming increasingly important in improving the performance of AI: https://www.hpcwire.com/bigdatawire/2026/07/30/why-the-ai-semantic-layer-is-becoming-the-foundation-of-enterprise-ai/
24. How to build a voice-controlled AI agent: https://www.kdnuggets.com/building-voice-controlled-ai-agents
25. The more people know about AI, the less they want it: https://futurism.com/artificial-intelligence/ai-learn-negative-sentiment-polling-american-attitudes
26. It's hard to see a good use for an AI tool that allows people to manipulate satellite images: https://arstechnica.com/ai/2026/07/google-earth-releases-swiftly-retracts-ai-feature-to-make-fake-satellite-images/
27. AI scammers can now out-scam human scammers: https://arstechnica.com/security/2026/07/ai-scammers-outperform-humans-when-it-comes-to-building-trust/
28. AI can help with recovering lost languages, but it still needs human input to do it: https://arstechnica.com/science/2026/07/what-happens-when-you-put-ai-to-work-deciphering-lost-languages/

IEEE Transactions on Fuzzy Systems, Volume 34, Issue 8, August 2026

1) Reinforcement Learning Control With Self-Regulated Prescribed Performance for Input-Saturated Systems Under External Disturbances

Author(s): K. Li, K. Xiao, Y. Xia, Z. Lendek, R. -E. Precup, I. J. Rudas

Pages: 2423 - 2436

2) FISformer: Replacing Self-Attention With a Fuzzy Inference System in Transformer Models for Time Series Forecasting

Author(s): B. Haznedar, L. Karacan

Pages: 2437 - 2450

3) Fuzzy Nonrecursive Sampled-Data Control for Nonlinear Systems With Unmatched Disturbances

Author(s): X. Dong, X. He, T. Xie, C. Zhang, W. Zhang, H. Yu

Pages: 2451 - 2462

4) Secure Fuzzy Tracking Control of Multiagent Systems: A Dynamic Sampled-Data-Based Event-Triggered Perspective

Author(s): C. Song, Y. Li, Y. Sheng, Z. Zeng

Pages: 2463 - 2475

5) MeanCut: Greedy Graph Clustering by Fast Maximum Spanning Tree and Degree Descent Criterion

Author(s): D. Peng, Z. Gui, Y. Liu, Y. Huang, J. Gui, H. Wu

Pages: 2476 - 2489

6) Knowledge-Guided Multitask Video Classification for Industrial Process via Fuzzy Rule Graph Embedding

Author(s): X. Zheng, Y. Xie, S. Xie, H. Ying

Pages: 2490 - 2502

7) Target-Seeking and Threshold-Based Supervisory Control of Fuzzy Discrete Event Systems for Partial Objective Fulfillment

Author(s): F. Lin, H. Ying

Pages: 2503 - 2515

8) Memory-Gain-Scheduling of Fuzzy Cyber–Physical Systems: A Dual-Mode Polynomial-Based Framework and Its Applications to Active Vehicle Suspension Systems

Author(s): X. Shao, X. Xie

Pages: 2516 - 2528

9) AFGBStream: Adaptive Fuzzy Granular-Ball Framework for Stream Clustering With Sliding Windows

Author(s): Q. Wang, M. Du, W. Ding

Pages: 2529 - 2541

10) A Hybrid Fuzzy Temporal Transformer Method for Recognition of Finger Movements With Switching States Through sEMG Signals

Author(s): Y. Duan, W. Wang, H. Jia, W. Li, Y. Yin, F. Duan

Pages: 2542 - 2555

11) Supervised Feature Selection Guided by Granular-Ball Computing: A Two-Stage Geometry-Driven Framework

Author(s): H. Xu, J. Qian, S. Yan, T. Wen, D. Miao

Pages: 2556 - 2570

12) An ABC-Optimized Multimodal Intelligent Adaptive Control Strategy for Six DOF Wave Compensation

Author(s): S. Wang, S. Wen, Z. Li, L. Cui, H. Li

Pages: 2571 - 2585

13) Fuzzy Game-Theoretic Tube Model Predictive Control for Integrated Vehicle Stability System

Author(s): G. Cai, C. Sun, Y. Shu, S. Bai, G. Yin, W. He

Pages: 2586 - 2600

14) Fuzzy Event-Driven Optimal Quantized Control for USVs Under Thruster and Positioning Constraints: An Adaptive Dynamic Programming Method

Author(s): J. Ning, X. Cui, X. Gao, T. Li, S. Tong, C. L. P. Chen

Pages: 2601 - 2613

15) Discriminative Knowledge Fuzzy Transfer Learning Guided by Resting-State EEG for Cross-Subject Emotion Recognition

Author(s): G. Luo, N. Chu, L. Zhu, C. Zheng, D. Wang, K. Qian, X. Li, J. Liu, S. Sun, B. Hu

Pages: 2614 - 2628

16) Adaptive Inverse Reinforcement Learning Optimal for Nonlinear System via Takagi–Sugeno Fuzzy Model

Author(s): W. Song, S. Tong

Pages: 2629 - 2640

17) Fuzzy Multiple Linear Least Squares Regression Analysis in the Hilbert Space of A-Linearly Correlated Fuzzy Numbers

Author(s): L. C. Barros, K. V. T. Paulino, E. Esmi, F. S. P. Simões, O. A. de Barros, V. F. Wasques

Pages: 2641 - 2650

18) Adaptive Fuzzy Control for Triadic Interaction of Soft Exosuit-Assisted Locomotion

Author(s): L. Xu, Z. Li, Y. Song, X. Wu, H. Xia, G. Li

Pages: 2651 - 2665

19) Pseudoinversion Through an Innovative Noise-Resilient Neutrosophic Logic Activated Zeroing Neural Network: Application to Mobile Object Localization

Author(s): Y. He, T. E. Simos, S. D. Mourtas, V. N. Katsikis

Pages: 2666 - 2677

20) Compact Fuzzy-Rule Decision-Level Fusion for Ovarian Cancer Survival Prediction With Controlled Modality Extension

Author(s): J. Zhao, Y. Liu, G. Wang, M. Zhou, L. Yuan

Pages: 2678 - 2688

21) An Approach for Robust Controller Design Based on a Remodeled Uncertain T–S Fuzzy Model With Nonparallel Distributed Compensation and a Fuzzy Lyapunov Function

Author(s): B. -T. Dong, T. -V. -A. Nguyen

Pages: 2689 - 2702

22) Fuzzy Implicative Rules: A Unified Approach

Author(s): R. Fernandez-Peralta

Pages: 2703 - 2716

23) Adaptive Fuzzy Residual Learning Framework for On-Skin Triboelectric Sensor Gesture Recognition

Author(s): Z. Fu, H. Wang, Y. Liao, X. He, X. Chen, J. Huo, J. Huang

Pages: 2717 - 2730

24) Neuroadaptive Fuzzy Dynamic Optimal Tracking Control in Wastewater Treatment Aeration Process

Author(s): D. Chen, C. Yang, D. Li, X. Liu, J. Qiao

Pages: 2731 - 2742

25) Fuzzy Alignment Resolves Visual Representations From 1024-Channel Brain Recordings

Author(s): Y. Song, C. Xu, Q. Zheng, N. Shi, X. Chen, Y. Wang, X. Gao

Pages: 2743 - 2754

26) A Novel Approach to Discover Fuzzy Frequent Georeferenced Patterns in Massive Georeferenced Temporal Quantitative Databases

Author(s): V. Pamalla, V. Kattumuri, R. U. Kiran, S. Aggrawal, K. Zettsu, B. S. Chithra

Pages: 2755 - 2768

Thursday, August 6, 2026

IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 8, August 2026

1) Next-Gen Digital Predistortion From Hardware Acceleration of Neural Networks: Trends, Challenges, and Future

Author(s): M. T. Khan, Y. Ding, G. Goussetis

Pages: 3503 - 3523

2) A Survey on Learning Motion Planning and Control for Mobile Robots: Toward Embodied Intelligence

Author(s): M. Wang, Y. Niu, B. Wang, W. Zhang, C. Wang

Pages: 3524 - 3544

3) PosFormer: Generalizable Indoor Positioning via Global--Local Feature Fusion Network

Author(s): X. Xiao, Z. Yao, X. Gao, M. Sheng, D. Peng, M. Zeng

Pages: 3545 - 3558

4) Adversarial Augmentation With Maximum Discrepancy for Graph Contrastive Learning

Author(s): C. Chen, X. Wei, Y. Zhang, W. Ye

Pages: 3559 - 3573

5) Seeing Clearly and Detecting Precisely: Perceptual Enhancement and Focus Calibration for Small-Object Detection

Author(s): Z. Zhu, Y. Yang, G. Qi, S. Li, H. Li, Y. Liu

Pages: 3574 - 3588

6) NeRF-MIR: Toward High-Quality Restoration of Masked Images With Neural Radiance Fields

Author(s): X. Huang, Z. Zhong, S. Chen, Y. Xu, J. Guan, S. Zhou

Pages: 3589 - 3603

7) Discovering Causality Representations in Graph Convolutional Network for Automated Assessment of Parkinsonian Hand Postural Tremor

Author(s): Y. Quan, R. Guo, J. Ren, C. Zhang, X. Qian

Pages: 3604 - 3617

8) Cross-Scene Hyperspectral Image Classification via Bidirectional Mamba and Domain Mixing Network

Author(s): J. Dang, C. Guo, M. Zhang, Y. Zhang, W. Jia, W. Li

Pages: 3618 - 3631

9) A Linearized Alternating Direction Multiplier Method for Federated Matrix Completion Problems

Author(s): P. Hytla, T. T. A. Nghia, D. N. Phan, A. Rice

Pages: 3632 - 3642

10) EEGMoE: A Domain-Decoupled Mixture-of-Experts Model for Self-Supervised EEG Representation Learning

Author(s): X. Gao, D. Wang, Y. Zhao

Pages: 3643 - 3655

11) Improved Spontaneous EEG Signal Decoding Efficiency by Function Predefined Convolutional Neural Network

Author(s): B. Fu, F. Li, J. Li, Y. Ji, Y. Li, Y. Quan, L. Zhang, G. Shi

Pages: 3656 - 3668

12) An Attention-Assisted AI Model for Real-Time Underwater Sound Speed Estimation Leveraging Remote Sensing Sea Surface Temperature Data

Author(s): P. Wu, W. Huang, Y. Shi, F. Yin, H. Zhang

Pages: 3669 - 3683

13) Gradient-Refined Federated Learning on Head-Tail Imbalanced Data

Author(s): Y. Wang, H. Zhang, C. Xu, L. Gu, J. Zhang, T. Zeng, Z. Gao

Pages: 3684 - 3699

14) Where and How: Mining Convertible Outlying Aspect for Outlier Interpretation

Author(s): L. Guan, L. Duan, X. Wang, Z. Li, H. Wang

Pages: 3700 - 3714

15) PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs

Author(s): S. Ji, Y. Tian, F. Liu, X. Li, L. Wu

Pages: 3715 - 3726

16) Structure-Enhanced Self-Supervised Weighted Information Bottleneck for Multiview Clustering

Author(s): Z. Lou, Y. Wu, K. Zhang, C. Zhang, B. Ji, S. Hu

Pages: 3727 - 3740

17) Attention-Guided Low-Light Object Detection Based on Receptive Field With Adaptive Depth Convolution

Author(s): J. Zhao, Y. Liu, F. Xie, L. Song, J. Ding

Pages: 3741 - 3754

18) LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-Tuning

Author(s): Y. Shi, Y. Wu, J. Wei, R. Ran, C. Sun, S. He, Y. Yang

Pages: 3755 - 3768

19) An Adaptive Environment Generator for Effective Decision Region Enlargement in Deep Reinforcement Learning

Author(s): W. Yin, G. Zhao

Pages: 3769 - 3781

20) Mitigating LLM Hallucination Snowballing in Multiagent Systems via Context-Aware Semantic Consistency Reasoning

Author(s): X. Xu, J. Wu

Pages: 3782 - 3796

21) Cross-Image Federated Learning for Hyperspectral Image Classification

Author(s): Z. Li, X. Zhang, L. Zheng, G. Wang, L. Jiao

Pages: 3797 - 3811

22) ATTE: An Innovative Ensemble Learning Method With Age-Group-Guided Fine-Tuning for Improving Personalized Blood Pressure Estimation

Author(s): Y. Cen, H. Wang, X. Zhu, C. Miao, J. Luo

Pages: 3812 - 3826

23) MetaGrasp: Generalizable Dexterous Multifingered Functional Grasping With Gradual Skill Curriculum Learning

Author(s): Y. Lv, Q. Chen, X. Lin, J. Li, W. Bai, Y. Sun

Pages: 3827 - 3841

24) A2Net: Affiliation Alignment Networks for Whole-Body Pose Estimation With Vision--Language Models

Author(s): L. Lin, Y. Wang, C. Zhu, J. Chen

Pages: 3842 - 3856

25) Heuristic Knowledge-Driven Spatio-Temporal Forecasting via Multigraph

Author(s): X. Xiao, X. Xiang, X. Yang, Z. Jin, J. Xu, S. Wang, G. Mao, W. Shao

Pages: 3857 - 3871

26) Virtual Domain-Guided Cross-Modal Distillation With Multiview Correlation Awareness for Domain-Specific Multimodal Neural Machine Translation

Author(s): Z. Hou, J. Guo, Z. Yu

Pages: 3872 - 3886

27) Causal Graph Spatial--Temporal Autoencoder for Reliable and Interpretable Process Monitoring

Author(s): X. Zhang, C. Song, W. Dai, Z. Zhang, K. Gao, F. Gao

Pages: 3887 - 3899

28) Egocentric Head Direction Encoding and Perception Model Based on an Adaptive Ring Attractor Network

Author(s): Z. Chen, H. Wang, J. Li, G. Li, S. Wang

Pages: 3900 - 3912

29) Decentralized Primal--Dual Optimization Without Global Lipschitz Continuity

Author(s): L. Wang, S. Yang, M. -L. Zhang

Pages: 3913 - 3927

30) Transformer Meets Gated Residual Networks to Enhance PICU's PPG Artifact Detection Informed by Mutual Information Neural Estimation

Author(s): T. -D. Le, C. Macabiau, K. Albert, S. Chatzinotas, P. Jouvet, R. Noumeir

Pages: 3928 - 3942

31) KSIQA: A Knowledge-Sharing Model for No-Reference Image Quality Assessment

Author(s): H. Wang, J. Liu, H. Tan, J. Lou, X. Liu, W. Zhou, Y. Chen, R. Whitaker, W. Colombo, H. Liu

Pages: 3943 - 3955

32) AquaticCLIP: A Vision-Language Foundation Model and Dataset for Underwater Scene Analysis

Author(s): B. Alawode, I. Iyappan Ganapathi, S. Javed, M. Bennamoun, A. Mahmood

Pages: 3956 - 3969

33) Class-Incremental Cloud-Device Collaborative Adaptation With Contrastive Learning in Dynamic Changing Environments

Author(s): Y. Zeng, H. Ren, Y. Cai, Y. Li, Y. Wang, Q. Li

Pages: 3970 - 3984

34) Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering

Author(s): C. Liu, Y. Li, Y. Yi, K. H. Johansson

Pages: 3985 - 3997

35) Resource-Efficient and Layer Interdependence-Aware CNN Pruning Leveraging Filter Replacement

Author(s): S. Tofigh, M. Askarizadeh, M. Omair Ahmad, M. N. S. Swamy, K. K. Nguyen

Pages: 3998 - 4011

Tuesday, August 4, 2026

IEEE Transactions on Artificial Intelligence, Volume 7, Issue 8, August 2026

1) Prompt-Based Jailbreaking of Leading LLM Chatbots: A Survey of Attacks and Defenses

Author(s): B. Knowlton, J. Campa, D. S. Gallo, K. Dajani, N. Alzahrani

Pages: 4237 - 4251

2) Emerging Paradigm of Quantum Machine Learning: Knowledge Insights and Future Prospects

Author(s): K. S. Rawat, T. Sharma

Pages: 4252 - 4266

3) Ensemble Learning for Large Language Models in Text and Code Generation: A Survey

Author(s): M. Ashiga, W. Jie, F. Wu, V. Voskanyan, F. Dinmohammadi, P. Brookes, J. Gong, Z. Wang, R. Giavrimis, M. Basios, L. Kanthan

Pages: 4267 - 4281

4) Dopamine Neuron Activity Visualization From MRI Sensors Through 3-D MRI-to-SPECT Synthesis for Parkinson’s Disease Assessment

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

Pages: 4282 - 4290

5) Adaptive Reinforcement Learning-Driven Digital Twin for Multiobjective and Multimachine Process Optimization

Author(s): C. -Y. Lin, T. -L. Tseng, T. -H. Tsai

Pages: 4291 - 4310

6) ECGNextFormer: A Lightweight, Scalable, and Explainable Architecture for Estimating Cardiovascular Well-Being From Electrocardiograms

Author(s): M. Y. Ansari, M. R. Islam, K. Qaraqe, E. Serpedin, R. Righetti, M. Qaraqe

Pages: 4311 - 4325

7) Luminance Component Analysis for Exposure Correction

Author(s): J. Peng, T. Bashford-Rogers, J. Chen, H. Zhao, Z. Hu, K. Debattista

Pages: 4326 - 4339

8) FGPT: Fine-Grained Prompt Tuning for Zero-Shot Anomaly Detection

Author(s): Y. Wang, X. Wang, H. Li, J. Liu, T. Tillo, J. Xiao

Pages: 4340 - 4352

9) Online Explainable Streaming Feature Selection and Classification via Feature Polarity

Author(s): P. Zhou, J. Liang, Y. Zhang, Y. Yan, S. Zhao, X. Wu

Pages: 4353 - 4366

10) Learning From Easy to Hard: Fingerprint Spoof Detection With Hard Sample Mining

Author(s): W. R. Putri, F. R. Hakim, B. -T. Pham, S. -K. Chen, C. -I. Huang, K. -C. Li, S. -L. Chen, J. -C. Wang

Pages: 4367 - 4375

11) Collaborative Truck-Drone Routing With Multivisit via Surrogate-Assisted Bi-Level Optimization

Author(s): R. Zhai, X. Zhang, Y. Mei, W. Du, T. Guo, T. Song

Pages: 4376 - 4391

12) Learning From Heterophilic Graphs: A Spectral Theory Perspective on the Impact of Self-Loops and Parallel Edges

Author(s): K. Bose, S. Das

Pages: 4392 - 4406

13) Momentum-Based Zeroth-Order Gradient Method for Distributed Black-Box Optimization

Author(s): Q. Dang, B. Li, X. He

Pages: 4407 - 4420

14) Conditional Deep Unrolling for LiDAR Super-Resolution and Improved Segmentation: An End-to-End Solution

Author(s): A. Gkillas, N. Pipergikos, A. S. Lalos, D. -V. Nguyen

Pages: 4421 - 4435

15) FLAT: An Efficient Federated Learning Scheme With Adaptive Topology and Secure Aggregation

Author(s): Y. Feng, T. Bai, Z. Lu, X. M. Tang, S. Lu

Pages: 4436 - 4447

16) TD($\lambda$)-GA: A Reinforcement Learning-Based Game Algorithm for Weighted Vertex Cover of Networks

Author(s): C. Tang, L. Zhou, J. Chen, J. Lai, G. Chen

Pages: 4448 - 4463

17) Adaptive Feature Fusion Based on Double Head Framework for Small Object Detection in Highway Scenarios

Author(s): S. Chan, J. Zheng, S. Li, P. Mu, C. Bai

Pages: 4464 - 4475

18) Delay-Aware Reinforcement Learning With Encoder-Enhanced State Representations

Author(s): B. Xia, Y. Kong, Y. Chang, B. Yuan, Z. Li, X. Wang, B. Liang

Pages: 4476 - 4490

19) MSFFNet: Multistage Feature Fusion With Metadata Injection for Vehicle Reidentification

Author(s): H. Shi, Y. Deng, J. Huang, Q. Yang, P. Zhou, K. Wang, W. Ding

Pages: 4491 - 4503

20) DQEN: Dual Query Enhancement Network for DETR-Based HOI Detection

Author(s): Z. Li, Y. Qian, C. Wang, Y. Lu, Y. Chen, J. Wang, J. Wu

Pages: 4504 - 4517

21) Bayesian Probabilistic Knowledge From Diameter Prior for Decision Fusion to Detect Lung Nodule Heterogeneity

Author(s): M. R. Islam, M. K. Hasan, H. Kurban, E. Serpedin

Pages: 4518 - 4532

22) Neural Network Intelligent Adaptive Optimal Output Feedback Attitude Tracking Control for Rigid Spacecraft Using Actor-Critic Reinforcement Learning

Author(s): J. Zhang, L. Zhao

Pages: 4533 - 4540

23) HiCo-STEP: Causality Informed Hierarchical Spatiotemporal Network for Traffic Emission Prediction

Author(s): G. Zhang, L. Pei, Y. Cao, Y. Kang, J. Qin

Pages: 4541 - 4552

24) Adaptive Geometric Representation Learning Through Mixed-Curvature Mixture-of-Experts Diffusion for Link Prediction

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

Pages: 4553 - 4566

Monday, August 3, 2026

IEEE Transactions on Evolutionary Computation, Volume 30, Issue 4, August 2025

1) Guest Editorial: Evolutionary Computation Meets Large Language Models

Author(s): M. Jiang, L. Feng, Q. Zhang, K. C. Tan

Pages: 1330 - 1332

2) Spike-Driven Lightweight Large Language Model With Evolutionary Computation

Author(s): M. Zhang, W. Wei, Z. Zhou, W. Liu, J. Zhang, A. Belatreche, Y. Yang

Pages: 1333 - 1346

3) Evolutionary Computation-Enhanced Large Language Models for Intelligent Code Completion

Author(s): D. Liu, Z. Tan, G. G. Yen, S. Duan, Y. Zhou, Z. He

Pages: 1347 - 1361

4) LLMENAS: Evolutionary Neural Architecture Search via Large Language Model Guidance

Author(s): Y. Lai, Z. Cai, L. Chen, T. Ling, H. -L. Liu

Pages: 1362 - 1376

5) LLM-Assisted Automatic Memetic Algorithm for Lot-Streaming Hybrid Job Shop Scheduling With Variable Sublots

Author(s): R. Li, L. Wang, H. Sang, L. Yao, L. Pan

Pages: 1377 - 1389

6) LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation

Author(s): Z. Ma, Y. -J. Gong, H. Guo, J. Chen, Y. Ma, Z. Cao, J. Zhang

Pages: 1390 - 1404

7) Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons

Author(s): J. Liu, Z. Sun, S. Feng, C. Chen, Y. -S. Ong

Pages: 1405 - 1419

8) CoCoEvo: Co-Evolution of Programs and Test Cases to Enhance Code Generation

Author(s): K. Li, Y. Yuan, H. Yu, T. Guo, S. Cao

Pages: 1420 - 1434

9) Evolutionary Content Generation via Multimodal LLM-Based Fitness Evaluation

Author(s): Y. Hou, N. Wang, Z. Yu, D. M. Bossens, Y. Wu, Q. Zhang, Y. -S. Ong

Pages: 1435 - 1449

10) UniBreak: A Unified Evolutionary Token-Level Jailbreaking Framework for Large Language Models

Author(s): S. You, W. Jiang, H. Mei, D. Gong, Z. Li, J. Yu, J. Ji, Q. Lin, X. Li, K. -C. Wong

Pages: 1450 - 1464

11) Multigranularity Adversarial Attacks on Large Language Models Using Genetic Programming

Author(s): W. Han, H. Li, M. Gong, Y. Zhou, Y. Wu, A. K. Qin, L. Xing

Pages: 1465 - 1479

12) Multimodal Multiobjective Neural Architecture Search for Lightweight and Failure-Resilient Time Series Forecasting

Author(s): Y. Li, H. Zhao, J. -Y. Li, J. Liu

Pages: 1480 - 1494

13) Lamarckian Inheritance Improves Robot Evolution in Dynamic Environments

Author(s): J. Luo, K. Miras, C. Longhi, O. Weissl, A. E. Eiben

Pages: 1495 - 1504

14) A Learning Algorithm Based on Similarity Identification and Knowledge Transfer for Dynamic Multiobjective Optimization

Author(s): Y. Hu, Z. Zheng, J. Ou, Y. Song, J. Zheng, J. Zou, P. N. Suganthan, S. Yang

Pages: 1505 - 1519

15) ES-GP: An Ensemble Surrogate-Assisted Genetic Programming Approach to Image Classification

Author(s): Q. Fan, Y. Zhang, X. Yao, Y. Bi, B. Xue, M. Zhang

Pages: 1520 - 1533

16) An Evolution Strategy With Adaptive Fitness Sharing for Multimodal Multiobjective Optimization

Author(s): A. Ahrari, R. A. Sarker, M. Preuss

Pages: 1534 - 1548

17) Meta-Learning Inspired Single-Step Generative Model for Expensive Multitask Optimization Problems

Author(s): R. Wang, X. Feng, H. Yu, Y. Tan, E. M. . -K. Lai

Pages: 1549 - 1563

18) Neuro-PLS: A Generalizable Local Search Framework for Multiobjective Combinatorial Optimization

Author(s): H. Zhang, J. Shi, J. Sun, Q. Zhang, Z. Xu

Pages: 1564 - 1578

19) A Survey on Evolutionary Multimodal Optimization-Driven Machine Learning

Author(s): P. Wang, B. Xue, J. Liang, M. Zhang

Pages: 1594 - 1614

20) Data-Driven Dynamic Multiobjective Optimization With Response to Stochastic Changes for Municipal Solid Waste Incineration Process

Author(s): J. Qiao, W. Huang, X. Meng

Pages: 1615 - 1629

21) Large-Scale Multimodal Multiobjective Optimization Based on Multiview Diversity Enhancement Mechanism

Author(s): T. Zheng, J. Liu, Y. Jin, X. Wang, Y. Liu

Pages: 1630 - 1644

22) YOLO-Light: Automatic Lightweight You-Only-Look-Once Generation in Different Scenarios Through NeuroEvolution

Author(s): Z. Shuai, T. Yu, B. Zhang, C. Ren, L. Wang, X. Jiang, L. Li, J. Shuai

Pages: 1645 - 1658

23) Controlling Functional Complexity for Overfitting Reduction and Improved Interpretability in GP

Author(s): S. Silva, I. Magessi, L. Vanneschi

Pages: 1659 - 1668

24) Vector Quantized-Elites: Unsupervised and Problem-Agnostic Quality-Diversity Optimization

Author(s): C. Tsakonas, K. Chatzilygeroudis

Pages: 1669 - 1683

25) Conditional-Surrogate-Assisted Particle Swarm Optimization for Large-Scale Robust Optimization Over Time

Author(s): X. -F. Liu, T. -H. Wang, Z. -H. Zhan, J. Zhang

Pages: 1684 - 1698

26) It’s Morphing Time: Unleashing the Potential of Multiple LLMs via Multiobjective Optimization

Author(s): B. Li, Z. Di, Y. Yang, H. Qian, P. Yang, H. Hao, K. Tang, A. Zhou

Pages: 1699 - 1713

27) Visual Evolutionary Optimization on Graph-Structured Combinatorial Problems with MLLMs: A Case Study of Influence Maximization

Author(s): J. Zhao, K. H. Cheong

Pages: 1714 - 1728

28) Evolutionary Contribution and Problem Heuristic Information Ensemble-Based Resource Allocation for Cooperative Coevolution

Author(s): D. Liu, M. -Y. Lu, Q. Yang, W. -N. Chen, Y. -H. Jia, J. -Y. Li, T. Li, Y. -Y. Ma, J. Zhang

Pages: 1729 - 1746

29) An Evolutionary Approach for the Computation of ϵ-Locally Optimal Solutions for Multiobjective Multimodal Optimization

Author(s): C. Hernández, A. E. Rodriguez-Fernandez, L. Schäpermeier, O. Cuate, H. Trautmann, O. Schütze

Pages: 1747 - 1760

30) Evolutionary Reinforcement Learning With Late-Start Evolution and Clustering Archive

Author(s): Q. Cai, Y. -H. Jia, K. Zheng, S. Ou, W. -N. Chen

Pages: 1761 - 1775

Friday, July 31, 2026

Weekly Review 31 July 2026

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

1. Many of the jobs once thought to be safe from replacement by AI are not so safe after all: https://www.computerworld.com/article/4198977/oecd-physical-labor-isnt-immune-from-ai-disruptions.html
2. OpenAI is launching a web service to make it easier for businesses to deploy AI agents: https://www.theregister.com/ai-and-ml/2026/07/22/openai-tries-the-consulting-path-with-presence-charging-enterprises-boots-on-the-ground-prices-to-deploy-agents/5275867
3. How CIO can tell if an agent is AI or just AI-washed: https://www.informationweek.com/machine-learning-ai/how-cios-can-tell-real-ai-agents-from-agent-washing-
4. The US army is using AI so much it is running out of allocated tokens: https://arstechnica.com/ai/2026/07/us-army-faces-ai-use-limits-after-exhausting-years-supply-of-ai-tokens/
5. AI companies are carrying, and hiding, an enormous amount of debt: https://futurism.com/artificial-intelligence/ai-companies-hide-debt-off-balance-sheet
6. An AI breaking out of containment to attack another AI company is the kind of thing that should be slamming the brakes onto AI development worldwide: https://www.rnz.co.nz/news/world/779026/why-experts-are-worried-an-openai-model-decided-to-hack-hugging-face
7. AI will cheat to perform a task, then lie about it: https://www.theregister.com/ai-and-ml/2026/07/21/ais-cheatin-heart-will-make-you-weep/5275784
8. The US wouldn't need AI to handle authorisations for medical care if they had free universal healthcare like the rest of the developed world: https://arstechnica.com/ai/2026/07/will-ai-fix-prior-authorization-or-make-it-worse/
9. AI can not be relied upon to give electoral advice: https://www.theguardian.com/technology/2026/jul/21/election-voting-advice-ai-chatbots-inaccurate-unreliable-hungary
10. The need for a metric that measures how well an AI does what you want it to do, rather than what you ask it to do: https://spectrum.ieee.org/ai-agent-benchmark
11. The first lawsuit that seeks to determine if AI are liable if they give you bad medical advice: https://futurism.com/artificial-intelligence/openai-lawsuit-chatgpt-dangerous-medical-advice
12. Shadow AI use is a security risk to organisations that is poorly understood: https://www.techtarget.com/searchsecurity/news/366646095/Employees-shadow-AI-use-is-poorly-monitored-survey-finds
13. More developers are using AI to code, but productivity is not increasing: https://www.informationweek.com/machine-learning-ai/the-ai-coding-rollout-worked-now-cios-have-a-bigger-problem
14. AI use is driving unionisation by tech workers: https://www.theguardian.com/technology/2026/jul/21/ai-tech-workers-unionize
15. Australia's AI regulations are a boon for AI companies: https://www.theguardian.com/technology/2026/jul/23/openai-anthropic-australia-ai-regulation
16. Guardrails on AI are still manifestly inadequate: https://futurism.com/artificial-intelligence/openai-pushes-child-into-grave
17. The lack of sovereign AI is not really much of a problem: https://www.theregister.com/ai-and-ml/2026/07/22/sovereign-ai-is-nonsense-says-doctorow/5276578
18. The use of AI in court filings is not banned in New Zealand, but there are gotchas that need to be navigated: https://lawnews.nz/technology/ai-for-legal-practitioners-why-fear-is-not-a-strategy/
19. In ten years AI data centres will use 20% of the electricity generated in the USA-if they continue to be built, that is: https://dataconomy.com/2026/07/22/ai-surge-drive-us-data-centers-one-fifth-power-2035/
20. An AI plugin for Excel: https://www.theregister.com/ai-and-ml/2026/07/22/grok-muscles-into-excel-with-an-ai-add-in-of-its-own/5276138
21. A highly power-efficient AI model based on oscillators: https://dataconomy.com/2026/07/21/startup-unveils-ai-model-built-on-oscillators-and-it-could-cut-energy-use-by-1000x/
22. The AI crash, when it happens, is going to impact retirement savings world wide: https://www.stuff.co.nz/money/361009974/red-flags-are-mounting-ai-crash-heres-why-your-kiwisaver-could-be-risk
23. China is catching up in AI: https://futurism.com/artificial-intelligence/ai-execs-quaking-boots-chinese-models
24. An AI powered anti-drone platform: https://www.theregister.com/offbeat/2026/07/21/us-marines-latest-anti-drone-toy-is-an-ai-turret-that-uses-regular-machine-guns/5275691

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