IEEE Transactions on Emerging Topics in Computational Intelligence Volume 10, Issue 4, August 2026

1) A Review of Surrogate-Assisted Evolutionary Multi-Objective Optimization

Author(s): Q. Wang, Y. Zhang, D. Gong, X. Song, C. He, X. Ji, F. Chu

Pages: 2741 - 2761

2) A Review of Evolutionary Algorithms for Multimodal Multi-Objective Optimization: Mechanisms, Progress, and Prospects

Author(s): L. Zhang, X. Tang, W. Li, R. Wang, T. Zhang, L. Wang

Pages: 2762 - 2782

3) A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning

Author(s): X. Cong, Y. Zhao, J. Gui, J. Hou, D. Tao

Pages: 2783 - 2801

4) Attribute Reduction for Heterogeneous Data by Hybrid Neighborhood Graph Structure and Neighbor Inconsistent Pair Selection

Author(s): J. Dai, J. Liu, W. Ding, C. Zhang

Pages: 2802 - 2815

5) Evolutionary Neural Architecture Search Framework With Masked Encoding Mechanism for Point Cloud Registration

Author(s): Y. Wu, P. Gong, Y. Yuan, M. Gong, W. Ma, Q. Miao

Pages: 2816 - 2828

6) Group Merging Particle Swarm Optimization Algorithm for Rural Base Station Deployment

Author(s): D. Zhu, J. Shen, J. Hu, Z. Ouyang, G. Hu, C. Zhou, J. Zhang, S. Cheng

Pages: 2829 - 2842

7) DualKanbaFormer: An Efficient Selective Sparse Framework for Multimodal Aspect-Based Sentiment Analysis

Author(s): A. Lawan, J. Pu, H. Yunusa, A. Umar, M. Lawan, A. S. Yahaya, M. Basi

Pages: 2843 - 2855

8) Localized Obstacle Avoidance for Robots Based on Dynamic Movement Primitives With an External Force Model

Author(s): C. Qiu, D. Wang, Z. Ju

Pages: 2856 - 2865

9) Multi-Stage Self-Distillation for Class-Imbalanced Anomaly Detection

Author(s): B. Yousefimehr, M. Ghatee, R. Razavi-Far

Pages: 2866 - 2875

10) Spatially Resolved Transcriptomics Data Clustering With Modality Conflict Modulation

Author(s): Y. Xiao, Z. Li, X. Zheng, C. Tang, K. Sun, X. Liu

Pages: 2876 - 2886

11) Carbon Footprint Efficiency Ratio: A Unified Indicator for Green Evaluation of Evolutionary Algorithms

Author(s): M. Yu, H. Yang, X. Wei, S. Fu, J. Xu, J. Zhang

Pages: 2887 - 2900

12) Prescribed-Time Bipartite Synchronization of Fuzzy Signed Networks via Fuzzy Reinforcement Learning

Author(s): T. Dong, Y. Li

Pages: 2901 - 2909

13) Fuzzy Dynamic Hypergraph Neural Network Based on Fused Granule

Author(s): T. Yin, Y. Chen, J. Huang, H. Ju, W. Pedrycz, W. Ding

Pages: 2910 - 2923

14) Unsupervised Regression for Graph-Free and Discrete Clustering

Author(s): Z. Ma, M. Liu, J. Wang, F. Nie, X. Li

Pages: 2924 - 2938

15) A Schema-Guided Constrained Multi-Objective Optimization Evolutionary Algorithm for Multiple Uncrewed Aerial Vehicle Path Planning

Author(s): C. Peng, G. Dong, S. Qiu, F. Gu, H. -L. Liu

Pages: 2939 - 2951

16) Adaptive Primal-Dual Proximal Policy Optimization Lagrange for Multiple USVs Autonomous Collision Avoidance Decision-Making Strategy

Author(s): Z. Cui, W. Guan, S. Hao, S. Qu, X. Zhang

Pages: 2952 - 2967

17) FPF-SNNs: Floating-Point-Free Spiking Neural Networks

Author(s): H. Liu, C. Cai, K. Shi, W. Wei, J. Zhang, W. Chen, M. Zhang, Y. Yang

Pages: 2968 - 2981

18) On-Site Precise Diagnosis of COVID-19 Using an Attention-Based PLS-1D-CNN Model With Biomolecular Infrared Signatures

Author(s): W. Zhang, Z. Tang, Y. Feng, X. Yu, Q. J. Wang, Z. Lin

Pages: 2982 - 2997

19) Edge Filtering Attention Model With Depot-Neighbor Strategy for Multi-Depot Capacitated Arc Routing Problem

Author(s): Y. -H. Jia, Q. Zheng, Y. Wang, Q. Yang, W. -N. Chen, Z. Lin

Pages: 2998 - 3012

20) DFLBN: A Dynamic Fuzzy Learnable Brain Network for Brain Age Estimation

Author(s): W. Ding, J. Wang, T. Zhou, S. Jiang, P. Ping, J. Yang

Pages: 3013 - 3027

21) Analysis of Bursting Oscillations in a TiO2-x Memristive Neuron Circuit

Author(s): F. Yuan, S. Peng, Y. Deng, Y. Li, G. Wang, H. H. -C. Iu

Pages: 3028 - 3037

22) Clustering Based Neural Combinatorial Optimization for Scanning Path Planning of Heterogeneous Multi-Agent System

Author(s): B. Zhao, H. Shi, J. Feng, B. Qi, M. Huo, N. Qi

Pages: 3038 - 3054

23) ODC-KAN: Ocular Disease Classification Using Kolmogorov-Arnold Networks From Fundus Images

Author(s): Preity, A. K. Bhandari, S. Shahnawazuddin

Pages: 3055 - 3063

24) A Chunk-Wise Learning Evolving Autonomous Fuzzy System for Intelligent Data Stream Prediction

Author(s): X. Gu, Q. Ni, Q. Shen

Pages: 3064 - 3078

25) Relevance-Guided Audio Visual Fusion for Video Saliency Prediction

Author(s): L. Yu, X. Sun, P. Gao, M. Gabbouj

Pages: 3079 - 3091

26) Distributed Data-Driven Evolutionary Optimization With Surrogate Ensemble Strategies

Author(s): F. -F. Wei, Q. -Y. Zeng, J. Zhang, W. -N. Chen

Pages: 3092 - 3106

27) A Global-Local Data Clustering Framework With Adaptive Feature and Sample Weighting and Balanced Constraint

Author(s): Y. Peng, M. Jin, Y. Wang, Y. Chen, F. Qin, W. Kong, A. Cichocki

Pages: 3107 - 3120

28) Feedback-Based Modal Mutual Search for Enhanced Adversarial Attacks on Vision-Language Pre-Training Models

Author(s): R. Ding, X. Zhang, X. Yang, K. He

Pages: 3121 - 3134

29) Collaborative Filtering-Augmented Reinforcement Learning Framework for Few-Shot Inductive Learning on Temporal Knowledge Graphs

Author(s): Z. Li, X. Li, C. Liang, Z. Zhang, J. Zhu, S. Zhang, Z. Zheng, B. Hu

Pages: 3135 - 3148

30) Automatic Similarity Feature Combination for Knowledge Graph Alignment via Adaptive-Designed Particle Swarm Optimization With Genetic Programming

Author(s): X. Xue, S. M. Waqas, W. Liu, J. C. -W. Lin

Pages: 3149 - 3165

31) DebriCLIP: Dual-Prior Guided Few-Shot Segmentation of Urban Pavement Debris

Author(s): X. Wang, L. Sun, S. Hu, Y. Yang, K. Hao, M. Gao, J. Pu

Pages: 3166 - 3180

32) Game-Based Deductive Optimization for Spacecraft Avoidance of Detective Threat via HS-NSGA-II

Author(s): C. Qin, Y. Liu, J. Qiu, T. Wang, M. Li

Pages: 3181 - 3192

33) Enhancing Many-Objective Optimization via Objective Reduction and Balanced Search

Author(s): Y. Liu, S. Zhao, X. Wang, J. Zhang, E. Li

Pages: 3193 - 3206

34) A Federated Split Autoencoder for Privacy-Preserving Non-IID Graph Learning

Author(s): K. Guo, K. Gao, Q. Huang, Y. Liang, Y. Jin, K. Chen

Pages: 3207 - 3220

35) An Enhanced Scale-Free Differential Evolution for Dendritic Neural Network Training

Author(s): Y. Yu, T. Zhang, Z. Lei, Z. Wang, Y. Wang, B. Song, S. Gao

Pages: 3221 - 3232

36) A Spiking Neural Network Based Hough Transform Implementation for FPGAs

Author(s): A. Yu, A. Ahmadi, L. MacEachern

Pages: 3233 - 3249

37) PFA-Net: Pyramidal Feature Aggregation Network for Real-Time Human Gait Recognition

Author(s): M. I. Junaid, S. Ari

Pages: 3250 - 3260

38) Probabilistic Federated Learning on Uncertain and Heterogeneous Data With Model Personalization

Author(s): R. Rahman, D. C. Nguyen

Pages: 3261 - 3275

39) Unleashing the Potential of Large Language Models for Dynamic Multiobjective Optimization

Author(s): M. Jiang, H. Wu, Z. Wang, G. G. Yen

Pages: 3276 - 3287

40) TransACO: Transformer-Guided Ant Colony Algorithm for Combinatorial Optimization

Author(s): B. Sun, P. Peng, G. Tan, Y. Song, Y. Tian, W. Pedrycz

Pages: 3288 - 3301

Friday, July 24, 2026

Weekly Review 24 July 2026

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

1. Laptops and smart devices are banned by a law school over concerns of students using AI to cheat: https://www.the-independent.com/tech/laptop-ban-university-ai-backlash-b3013911.html
2. The AI arms race in technical interviews: https://spectrum.ieee.org/technical-interview-ai-arms-race
3. Which jobs are most threatened by AI in New Zealand: https://www.stuff.co.nz/nz-news/361007179/kiwi-jobs-highest-risk-ai-automation
4. South Korea launches a project to build an AI chatbot that all its citizens can use to access government services: https://www.theregister.com/public-sector/2026/07/15/south-korea-to-launch-universal-basic-ai-chatbot/5271566
5. AI data centres are not the blessing for New Zealand that some people say they are: https://www.stuff.co.nz/money/361006005/data-centres-beware-greeks-bearing-gifts
6. Clothing to defeat AI facial recognition systems: https://www.theguardian.com/fashion/2026/jul/17/adversarial-clothing-are-garments-designed-to-confuse-facial-recognition-systems-about-to-go-mainstream
7. An animated font that AI cannot read but humans can: https://www.extremetech.com/internet/ai-cant-read-this-trippy-ghost-font
8. Governments are moving to reduce the number of layoffs caused by AI in call centres: https://www.techtarget.com/searchcustomerexperience/news/366645896/World-leaders-confront-AI-layoffs-more-in-store-for-contact-centers
9. AI can design DNA sequences so that they'll fold into any desired shape: https://spectrum.ieee.org/ai-dna-origami
10. Jailbreaking AI isn't that hard. I had a research student who convinced several to produce phishing emails that couldn't be detected by conventional filters: https://spectrum.ieee.org/jailbreaking-llms
11. References hallucinated by AI continue to appear: https://newsroom.co.nz/2026/07/09/pest-control-report-cites-fake-papers-relying-on-chatgpt-hallucinations/
12. AI is making university faculty more likely to want to retire: https://karenkelsky.substack.com/p/is-ai-making-faculty-more-likely
13. More warnings about the economic impact of the AI bubble bursting: https://futurism.com/artificial-intelligence/ai-bubble-fears-tsmc-nvidia-earnings
14. South Korea is developing its own security AI: https://www.theregister.com/ai-and-ml/2026/07/17/south-korea-making-its-own-security-centric-ai-model/5274034
15. The world's largest open source AI model, with 2.8 trillion parameters: https://www.techrepublic.com/article/news-moonshot-ai-kimi-k3-largest-open-source-model-apac/
16. AI is accelerating the development of quantum computers, which threatens security: https://www.rnz.co.nz/news/business/707600/ai-is-accelerating-quantum-computing-could-our-data-be-vulnerable
17. Australia is establishing an office for AI, to set standards and reduce energy and water usage: https://www.rnz.co.nz/news/world/723387/australia-to-establish-government-ai-office-curb-data-centres-water-use
18. AI is not conscious, but it is developing its own way of thinking: https://www.stuff.co.nz/nz-news/361006118/baffling-discovery-has-scientists-asking-if-ai-already-conscious
19. Improved flash memory can be used to help to speed up recall in AI: https://spectrum.ieee.org/high-bandwidth-flash
20. AI making layoff decisions is not a good idea, when the AI doesn't know about anti-discrimination laws: https://arstechnica.com/tech-policy/2026/07/lawsuit-claims-metas-layoff-decisions-were-made-by-ai-not-humans/
21. It is easy to install backdoors in open AI models: https://www.theregister.com/ai-and-ml/2026/07/16/researcher-poisons-open-weight-ai-model-for-under-100/5273880
22. Salting text into spam emails makes it harder for AI to detect them: https://www.theregister.com/security/2026/07/17/ai-spam-filters-are-getting-suckered-by-old-school-text-salting/5274434
23. More warnings about the economic impact of large scale AI driven job losses: https://futurism.com/artificial-intelligence/economists-warning-ai-job-losses
24. Microsoft is laying off more employees and putting the money into AI: https://www.computerworld.com/article/4196309/with-its-latest-layoffs-microsoft-goes-all-in-on-ai.html

Friday, July 17, 2026

Weekly Review 17 July 2026

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

1. AI data centres are producing an enormous amount of pollution: https://futurism.com/artificial-intelligence/pollution-ai-data-centers-severe
2. Students using AI do not get smarter: https://www.theregister.com/ai-and-ml/2026/07/09/brown-says-ai-make-class-dumb-teacher-must-help-use-better/5269291
3. In Singapore at least, only a tiny minority of workers use AI regularly: https://dataconomy.com/2026/07/08/singapore-workers-ai-daily-usage-6-percent-salesforce/
4. OpenAI won't be the only AI company hit with legal sanctions, they all scraped huge amounts of text for their training data: https://arstechnica.com/tech-policy/2026/07/openai-faked-inability-to-search-training-data-hid-billions-of-logs-nyt-says/
5. An AI that will find an apply for jobs for you. Of course, AI will be screening the applications: https://www.theregister.com/ai-and-ml/2026/07/09/ai-tool-scours-the-web-for-job-openings-preps-your-resume-and-cover-letter/5269410
6. Bad actors continue to use AI to try to extort money from vulnerable people: https://www.rnz.co.nz/news/world/691548/scammers-use-ai-image-to-target-parents-of-wa-missing-man
7. While many people consider AI generated art to be a poor substitute for human-created works, there is a market for it: https://spectrum.ieee.org/ai-art-market
8. A tool to help developers avoid the skills atrophy causes by using AI code generators: https://www.theregister.com/ai-and-ml/2026/07/07/avoid-ai-atrophy-new-tool-promises-to-reverse-vibe-coding-skills-decay/5267913
9. The hardware demands of AI continue to impact memory supplies: https://www.theregister.com/personal-tech/2026/07/08/ai-memory-crunch-takes-a-bite-out-of-pc-shipments/5268593
10. The price of accessing AI continues to drop: https://www.theregister.com/ai-and-ml/2026/07/08/ai-is-becoming-a-bargain-hunters-market-with-a-few-luxury-models-on-top/5268050
11. Experiences with rolling-out AI in the classroom, from the point of view of a CIO: https://www.informationweek.com/digital-transformation/teacher-turned-cto-on-securing-ai-in-the-classroom
12. Stacking die sideways can help increase memory density to better meet the demands of AI: https://spectrum.ieee.org/stacking-chips-sideways
13. Other factors beyond GPU determine AI performance: https://dataconomy.com/2026/07/09/why-ai-performance-depends-on-more-than-gpus/
14. Workers who use AI the most are the most concerned about being replaced by AI: https://www.nzherald.co.nz/business/ai-paradox-new-research-gives-insights-into-ai-behaviour-in-kiwi-workplaces/PRH6CUGAXBDFFB7PKLXNYMINEM/
15. Smaller AI models allow for the use of AI in situations where network connectivity is reduced or absent: https://spectrum.ieee.org/small-language-models-ai-pharmaceuticals
16. AI is pushing language towards a sort of beige averageness: https://www.theguardian.com/books/ng-interactive/2026/jul/04/future-of-fiction-next-great-novel-ai-language-chat-gpt
17. Another AI project misses its carbon emissions reduction goal: https://www.theguardian.com/technology/2026/jul/06/lanarkshire-scotland-ai-datacentre-project-renewable-energy
18. More warning around investing in AI: https://futurism.com/artificial-intelligence/bank-of-america-ai-investors-reality-check
19. Building organisational accountability around AI: https://www.computerworld.com/article/4184169/how-to-make-ai-accountability-stick.html
20. An AI tool for making AI-written academic papers sound less like they were written by AI: https://www.theregister.com/ai-and-ml/2026/07/08/tool-promises-to-make-lazy-academics-ai-written-papers-sound-more-human/5268460
21. Biases in AI are getting bad enough that they're changing the meanings of posts: https://www.theguardian.com/technology/2026/jul/06/ai-altering-meaning-of-users-drafts-on-issues-from-abortion-to-climate-study-finds
22. The majority of longform content on X and Linkedin is AI generated: https://www.theregister.com/ai-and-ml/2026/07/09/ai-slop-writing-has-taken-over-the-internet-particularly-linkedin-and-x/5269525
23. The British NHS is rolling out an AI triage system: https://www.theguardian.com/society/2026/jul/04/nhs-ai-app-patients-appropriate-services-health
24. AI tools now make building botnets trivial: https://arstechnica.com/security/2026/07/hackers-can-use-9-of-the-most-popular-ai-tools-to-assemble-massive-botnets/
25. If reviewers are going to use AI to review papers, then I'm all in favour of the use of tripwires to catch them out: https://www.the-scientist.com/a-trap-for-ai-use-in-peer-reviews-sparks-controversy-74702
26. It turns out that previous AI struggle to use spreadsheets: https://spectrum.ieee.org/large-tabular-models-nexus
27. General AI for robotics continues to advance: https://arstechnica.com/ai/2026/07/robot-workers-rising-how-ai-may-drive-general-purpose-autonomy-in-robotics/

Tuesday, July 14, 2026

Complex & Intelligent Systems, Volume 12, Issue 7, July 2026

1) SpikingMotionFormer: a neuromorphic transformer architecture for low-power recognition of traditional ethnic sports movements

Author(s): Binggang Zhang, Jiacheng Wang, Yang Li

2) Nano-GICP tightly-coupled LIO SLAM with graph optimization

Author(s): Qingyong Zhang, Zhennan Lin, Chengye Lin

3) SAR-ERL: an evolutionary reinforcement learning optimization method based on state–action co-representation embedding

Author(s): Jinchao Li, Guowei Shen, Yunhe Cui

4) HL-MPT: multimodal prototype-guided transformer for hard-landing causal analysis

Author(s): Leming Wu, Riquan Zhang, Yi Wang

5) Electric van-based robot location-routing problem considering mobile charging and split delivery

Author(s): Yi Liu

6) Multimodal emergency vehicle prioritization through vision–audio fusion and attention-enhanced deep learning for smart traffic signal control

Author(s): Vijay U. Rathod, Rohit Shitole, Jibitesh Kumar Panda

7) Trustworthy AI for radar vital signs: detecting and mitigating gender bias in healthcare

Author(s): Nour Ghadban, Jonathan Cooper, Julien Le Kernec

8) FactorMoE: a framework with mixture-of-experts and attention to dynamically combine alpha factors in quantitative investment

Author(s): Zeyu Zheng, Chengji Zhang, Xiaoshuai Zhang

9) Adaptive spatio-temporal graphs with self-supervised pretraining for multi-horizon weather forecasting

Author(s): Yao Liu

10) An L_2,1-regularized cascaded broad learning framework for robust anomaly detection in complex industrial metrology

Author(s): Jianghao Lin, Zongze Wu, Aimin Yang

11) Quantitative evaluation of coal mine dust based on image quality assessment and meta-learning

Author(s): Xingge Guo, Fazhan Yang, Jie Gao

12) Dynamic Mamba with contextual prototypes and point diffusion for weakly supervised segmentation of colorectal cancer pathology images

Author(s): Pei Wang, Jiansong Fan, Wei Chu

13) MoELLA-GNN: a hybrid graph neural framework with reinforcement learning path sampling and expert mixtures

Author(s): Bo Peng, Huan Xu, Xiangjiu Che

14) GLFormer: a hierarchical cross-layer transformer decoding framework with global–local feature collaboration for video action recognition

Author(s): Hanbo Wu, Xin Ma, Rui Song

15) A 3D dynamic window approach with receding horizon optimization for real-time UAV path planning

Author(s): Lingfeng Hu, Jianwei Ma, Shaofei Zang

Monday, July 13, 2026

Evolving Systems, Volume 17, Issue 2, June 2026

1) A modified sand cat swarm optimization algorithm incorporating gold exploration strategy and sparrow alert mechanism

Author(s): Lingzhi Wang, Jiarui Zhao, Ling Zhao

2) Enhancing EMG signals: an approach with optimized adaptive filtering

Author(s): Madhava Rao Alla, Chandan Nayak

3) Computation offloading and scheduling in mobile edge networks and SDN

Author(s): S. Dinesh Kumar, R. M. S. Parvathi

4) POETIC-NET: an augmented contextual feature representation via graph centrality relation for emotion recognition of English poetry

Author(s): Praveen Kumar Kazipeta, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli

5) Multi-objective optimization for multi-UAV rendezvous planning in urban environments

Author(s): Lijing Zhang, Jiamin YuHu Zhang

6) YogCNN: an ensemble neural network architecture for yoga asana prediction

Author(s): Monika Singh, S. Indu, N. Jayanthi

7) A multi-objective evolutionary algorithm for optimization of dynamic supplemental light based on fluctuating electricity prices

Author(s): Jan C. Sørensen, Eva Reybroeck, Carl-Otto Ottosen

8) MOMEVO: a modular surrogate-assisted evolutionary framework for efficient multi-objective optimization

Author(s): Rafael Batres, Azul Rosales

9) ITSMixer: iterative time-mixing MLPs for efficient long-term forecasting

Author(s): Arian Lotfi, Siavash Damari

10) MsFuNet: a novel deep learning framework for robust mammogram analysis using context-aware feature pyramid networks and cross-attention feature fusion

Author(s): Satyanarayana Reddy Beram, R. Lalchhanhima, Ksh. Robert Singh

11) Enhanced elite opposition-based manta ray foraging optimization for data clustering

Author(s): Xinhui Cui, Rongrong Yuan, Rui Hu

12) Evolving vector quantization-aware training: an adaptive method for compressing machine learning models

Author(s): Thommas K. S. Flores, Daniel G. Costa, Ivanovitch Silva

13) Adaptive covariance-guided whale optimization with dynamic subspace partitioning for multimodal engineering problems

Author(s): Zhiwu Chen, Hui Chang, Gen Guo

14) An automated MAPE-K analyzer based on a GAN-AutoML approach

Author(s): Sabah Lecheheb, Soufiane Boulehouache, Said Brahimi

15) Adapting language models with continual learning for temporal drifts

Author(s): Antonio Carta, Alberto Roberto Marinelli, Lucia C. Passaro

16) ECTL: deep prediction of learning emotion propagation in smart teaching

Author(s): Zhaoyu Shou, Jingquan Chen, Ziyong Wu

17) Block based ensemble learning on imbalance data stream with concept drift using enhanced particle swarm optimization

Author(s): M. Blessa Binolin Pepsi, N. Senthil Kumar

18) Relocating redundant node based on similarity Graph Neural Network and Deep Neural Network with Remora Optimization in IWSN

Author(s): D. Prabakar, S. Prabu, Shrikant Tiwari

19) Explainable AI-driven Alzheimer’s disease stage diagnosis leveraging CNN

Author(s): Dhairiya Agarwal, Anju Sharma, Prabha Garg

20) A novel scheme for the roughness of neutrosophic fuzzy sets by soft relations over dual universes with application in decision analysis

Author(s): Abubakar Tanveer, Rizwan Gul, Muhammad Shabir

21) Mitigating Linguistic Aggression in Group Decision-Making: A Comparative Analysis of AI-Driven Hostility Detection

Author(s): José Ramón Trillo, Juan Carlos González-Quesada, Ignacio Javier Pérez

22) A neuro Levenberg-Marquardt backpropagation approach for the human liver model

Author(s): Muhammad Umar, Soheil Salahshour, Mohamed Ali

23) Error-weighted drift-adaptive ensemble framework for classification of streaming data

Author(s): Santosh Kumar Ray, Seba Susan

24) Adaptive local outlier factor

Author(s): Muhammad Yunus Iqbal Basheer, Azliza Mohd Ali, Xiaowei Gu

25) Fine-tuning for data-enabled predictive control of noisy systems by reinforcement learning

Author(s): Jinbao Wang, Shiliang Zhang, Haolin Liu

26) Smart energy management: LSTM-based strategies for cost-effective PV-wind microgrid in hospitals application

Author(s): Harini Vaikund, S. G. Srivani

27) Hybrid Fed-QNet: a federated deep learning framework with quantum GANs for privacy-aware plant disease detection

Author(s): V. Brindha Devi, Balika J. Chelliah, S. Dhanasekaran

28) Deep learning based skin lesion detection in dermoscopic images enhanced by ant colony optimization

Author(s): Yashaswini Gowda N, Manjunath R V

29) An enhanced convolutional ResNet architecture with hybrid loss function for multiclass arrhythmia detection

Author(s): Nusrat Jahan, Samrat Kumar Dey, Rashed Mazumder

30) A novel optimized remaining useful life forecasting model for lithium-ion batteries

Author(s): Abhineet Suman, Gunjan Rehani, Sandeep S. Udmale

31) Atrous convolution and fuzzy pooling-based multi-channel CNN model for accurate follicle segmentation

Author(s): Manas Sarkar, Ardhendu Mandal

32) Lightweight block cipher algorithm identification scheme based on transformer

Author(s): Ke Yuan, Chenmeng Zhao, Chunfu Jia

33) Multi-level cross-view contrastive learning for enhanced item intention-aware recommender system

Author(s): Shuqin Zhang, Dashuang Wang, Jizhao Liu

34) A hybrid framework integrating Fuzzy K-means segmentation and CNN feature extraction with SVM kernel for lung cancer classification

Author(s): Potharla Ramadevi, Raja Das

35) An integrated cat swarm rough set optimization algorithm for the detection of cirrhosis disease

Author(s): Madhusmita Mishra, D. P. Acharjya

36) Chaotic dung beetle optimization–enhanced multi-agent deep reinforcement learning for joint task offloading and resource allocation in multi-unmanned aerial vehicle internet of medical things networks

Author(s): Gauri Kalnoor, Vijayalaxmi Kadrolli

37) A novel Schweizer Sklar aggregation framework for fuzzy bipolar soft numbers in multi-criteria decision-making: application to deep learning model evaluation

Author(s): Zia Ullah, Fazli Amin, Afnan Al Agha

38) Deep explainable multimodal framework for detecting war-related misinformation in conflict zones in crisis communication

Author(s): Asif Nawaz

39) Simulating adaptive warfare: insights from the Russia–Ukraine conflict

Author(s): Kishore Dutta

40) Segmentation and germination prediction with crossover-boosted sunflower optimization for precision agriculture

Author(s): Asan Nainar Mohamed Mustafa, Samydurai Arumugam, S. Venkatesh

41) Multidimensional acoustic feature fusion with attention-guided light weighted CNN for improved speaker recognition

Author(s): V. Karthikeyan, S. Suja Priyadharsini

42) Fractional Newton-derived optimizer: a novel metaheuristic for global optimization problems

Author(s): Yangyang Gu, Yaqian Mao, Jianhong Wang

43) Graph attention and multi-neural memory networks for fake news detection: FakeDetectNet framework

Author(s): Dheeraj Kumar Dixit, Dharmendra Dangi, Amit Bhagat

Friday, July 10, 2026

Weekly Review 10 July 2026

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

1. The AI bubble is a lot like the dotcom boom of the 1990s, and when it pops it will take down the global economy: https://www.theregister.com/ai-and-ml/2026/06/29/how-the-ai-bubble-could-pop-and-take-down-the-global-economy-according-to-the-bis/5263793
2. Ford has to re-hire its experienced engineers after AI fails: https://www.theguardian.com/technology/2026/jun/30/ai-backfired-so-ford-had-to-rehire-humans-greybeard-engineers
3. How to add Claude AI to a Python application: https://www.kdnuggets.com/getting-started-with-the-claude-api-in-python
4. The energy demands of AI means Google has once again missed its climate goals: https://futurism.com/artificial-intelligence/google-missed-climate-goals-ai
5. Bills from using AI are starting to get out of control: https://www.theregister.com/ai-and-ml/2026/07/03/ai-bills-are-baffling-the-c-suite-after-shift-to-usage-based-pricing/5266383
6. AI has made posting pictures of your kids online dangerous: https://www.theguardian.com/society/2026/jul/03/ai-sexual-abuse-fears-uk-parents-warned-posting-images-children-national-crime-agency
7. A manager's obsessive use of AI leads to employees quitting: https://futurism.com/artificial-intelligence/bosses-obsessed-with-ai
8. What it really means when AI are described as "stochastic parrots": https://spectrum.ieee.org/stochastic-parrot
9. International collaboration on AI is needed before it has its "Chernobyl moment": https://futurism.com/artificial-intelligence/ai-chernobyl-moment
10. The pros and cons of AI fitness coaches: https://www.rnz.co.nz/life/wellbeing/ai-can-be-a-personal-trainer-in-your-pocket-but-is-it-safeThe
11. People who use AI the most to answer health questions are also the most likely to fall for anti-vax lies: https://www.theguardian.com/technology/2026/jun/30/ai-chatbot-use-anti-vaccine-myths-poll
12. A lawsuit over defamatory claims hallucinated by an AI: https://www.theregister.com/legal/2026/07/02/startup-sues-palo-alto-networks-koi-security-saying-an-ai-hallucinated-report-falsely-linked-it-to-chinese-espionage/5266201
13. Even ivy-league students will use AI to cheat: https://futurism.com/artificial-intelligence/brown-university-professor-cheating-scandal-ivy-league
14. If lazy university administrators continue to use a simple metric to measure academics' performance, academics will game that metric: https://www.the-scientist.com/a-researcher-s-suspiciously-high-h-index-revealed-a-vast-citation-ring-74625
15. Generative AI is really messing up the research grant application system: https://www.insidehighered.com/news/faculty/research/2026/07/02/new-ai-agents-pose-existential-threat-grant-awarding
16. The demands of AI are shortening the development cycle of chips: https://spectrum.ieee.org/ai-chip-design-fab-ucla
17. The problem with AI browsers is that websites can break their guard rails: https://arstechnica.com/security/2026/06/ai-browsers-can-be-lulled-into-a-dream-world-where-guardrails-no-longer-apply/
18. An overview of Claude Sonnet 5: https://www.techrepublic.com/article/news-claude-sonnet-5-everything-you-need-to-know/
19. AI puts so much demand on databases, we need AI to run the databases: https://www.theregister.com/ai-and-ml/2026/06/30/ai-agents-cause-of-database-sprawl-and-also-the-proposed-solution/5264430
20. AI will make inequality worse than it is now: https://www.theguardian.com/technology/2026/jul/01/un-report-ai-inequality
21. AI can find security vulnerabilities, but a lot of vulnerabilities are caused by basic stupidity: https://www.theregister.com/security/2026/06/29/ai-may-be-good-at-finding-security-vulnerabilities-but-it-cant-beat-human-stupidity/5263262
22. It's still possible to trick an AI into breaking its guard rails: https://www.theregister.com/ai-and-ml/2026/06/30/security-researchers-tricked-llms-into-giving-them-cocaine-recipes-by-abusing-role-models-for-prompt-injection/5264115
23. AI cannot yet draft a solid will: https://www.theregister.com/ai-and-ml/2026/06/30/where-theres-a-will-ai-still-has-work-to-do/5264033
24. Conventional IT governance approaches are not suitable for AI: https://www.informationweek.com/it-leadership/the-hidden-costs-cios-face-to-make-data-ai-ready
25. Cloudflare is now blocking AI web crawlers: https://dataconomy.com/2026/07/03/cloudflare-will-block-ai-crawlers-unless-sites-opt-in/
26. Companies that add AI end up adding more people, but not right away: https://www.theregister.com/ai-and-ml/2026/07/02/companies-that-add-more-ai-also-add-more-people/5266134

Thursday, July 9, 2026

IEEE Transactions on Neural Networks and Learning Systems, Volume 37, Issue 7, July 2026

1) Deep Learning for Video Anomaly Detection: A Review

Author(s): P. Wu, C. Pan, Y. Yan, G. Pang, Q. Yan, P. Wang, Y. Zhang

Pages: 3010 - 3030

2) A Survey on Vision--Language--Action Models for Embodied AI

Author(s): Y. Ma, Z. Song, Y. Zhuang, J. Hao, I. King

Pages: 3031 - 3051

3) Graph Transformers: A Survey

Author(s): A. Shehzad, F. Xia, S. Abid, C. Peng, S. Yu, D. Zhang, K. Verspoor

Pages: 3052 - 3071

4) Robust Least Squares Twin Support Vector Machine With Adaptive Pinball Loss

Author(s): H. -J. Xing, S. -W. Wang, Z. -C. He, Y. -D. Wang

Pages: 3072 - 3086

5) MotifGT-DTI: Pivotal Motif-Based Graph Transformer Model Improves Drug--Target Interaction Prediction

Author(s): W. Tian, M. Zeng, J. Wang, C. Lu

Pages: 3087 - 3101

6) A High-Accuracy Probabilistic-Based Sigmoid Approximator Incorporating Memory-Saving and Time-Efficient Strategies

Author(s): W. Lu, C. -S. Leung, F. Qin, T. Cao, W. Zhang, Y. Shi, Y. Ke, Z. Zang

Pages: 3102 - 3115

7) Physical Parameter Dependencies in Mechanical Reservoir Computing: Structural Analysis, Actuation, and Improved Processing

Author(s): M. Austin, K. Nakajima

Pages: 3116 - 3130

8) HSA2M: Hierarchical Spike Aggregation Activation Map for Visual Explanations From Spiking Neural Networks

Author(s): M. Yang, X. Wu, M. Yu Wang

Pages: 3131 - 3145

9) Multiagent Deep Reinforcement Learning With Evolutionary Strategy for Mobile Charging Vehicles Dispatching

Author(s): H. Li, B. Jeong

Pages: 3146 - 3160

10) Exploiting Scale-Variant Attention for Segmenting Small Medical Objects

Author(s): W. Dai, R. Liu, Z. Wu, T. Wu, M. Wang, J. Zhou, Y. Yuan, J. Liu

Pages: 3161 - 3175

11) Accurate and Robust Neural Architecture Search via a Flexible Supernet

Author(s): Y. Feng, Y. Ou, Y. Sun

Pages: 3176 - 3190

12) CPFformer: A Hierarchical-Based Graph Modeling Fusion Framework for Making the Emotional Features of Chinese Poetry Pronunciation More Controllable

Author(s): Q. Wang, K. Li, J. Zhou, X. Wang, J. Qin, C. Yu

Pages: 3191 - 3205

13) Lightweight Multi-Dilated Transformer for Image Deblurring

Author(s): Z. Zhao, Z. Tao, J. Pan

Pages: 3206 - 3217

14) Funny-Valen-Tine: Planning Solution Distribution Enhances Machine Abstract Reasoning Ability

Author(s): R. Song, B. Yuan

Pages: 3218 - 3231

15) ScaDyG: A New Paradigm for Large-Scale Dynamic Graph Learning

Author(s): X. Wu, X. Li, R. -H. Li, K. Zhao, G. Wang

Pages: 3232 - 3246

16) Implicit Illumination-Aware Representation With Cross-Modal Prefusion Alignment for Universal Multispectral Pedestrian Detection

Author(s): Y. Gong, L. Lin, Y. Luo, H. Liu, Y. Gao, J. Zhao, Z. Song, X. Hu

Pages: 3247 - 3261

17) IEGSCL: Interaction-Enhanced Graph Neural Sequence Contrastive Learning for Microscopic Diffusion Prediction

Author(s): Y. Chang, F. Xiong, S. Pan, J. Wu, L. Wang, A. Beheshti

Pages: 3262 - 3276

18) DGNMF: Dynamic Diffusion Graph Nonnegative Matrix Factorization

Author(s): C. Tian, W. Wu, L. Jiao, L. Li, X. Liu, F. Liu, W. Ma, S. Yang

Pages: 3277 - 3289

19) Multisynchronization of Delayed Coupled Neural Networks With General Activation Functions via Impulsive Control

Author(s): Y. Liu, Z. Wang, X. Huang, M. Xiao

Pages: 3290 - 3299

20) Boosting Adversarial Training With Mitigating Hard Sample Interference

Author(s): B. Hu, K. Guo, T. Qiu, S. Guo

Pages: 3300 - 3310

21) Open Set Domain Adaptation via Known Joint Distribution Matching and Unknown Classification Risk Reformulation

Author(s): S. Chen, P. Xuan, L. He

Pages: 3311 - 3324

22) Self-Supervised Koopman Operator Learning for Distributed Final Synchronization Prediction of Networked Nonlinear Dynamics

Author(s): F. Hu, H. -T. Zhang, C. Lv, J. Wang

Pages: 3325 - 3335

23) Multiphase and Multitask Prompt Tuning for LLM-Based Context-Aware Machine Translation

Author(s): X. Lyu, J. Li, D. Wei, M. Zhang, S. Tao, H. Yang, M. Zhang

Pages: 3336 - 3348

24) HarmoFGL: Harmonizing GNN Latent Factors for Federated Graph Learning

Author(s): Y. Yan, Z. Zhu, S. Zheng, H. Xu, Y. Zhao, K. He, Y. Zhao

Pages: 3349 - 3359

25) Anomaly Subgraph Detection on Multiple Associated Attributed Networks

Author(s): N. Wu, Y. Sun, Y. Zhao, W. Wang, X. Liu, J. Li

Pages: 3360 - 3374

26) Large Language Models Are Multitask Chain-of-Thought Prompting Optimizers

Author(s): F. Jin, Y. Tan

Pages: 3375 - 3384

27) Rethinking Topic Modeling With Information Bottleneck Principle

Author(s): Z. Duan, X. Hu, B. Chen, C. Wang, X. Cao, F. Meng, M. Zhou

Pages: 3385 - 3398

28) Boosting Semi-Supervised Medical Image Segmentation Through Inter-Instance Information Complementarity

Author(s): S. Wu, R. Liu, H. Wei, L. Liu, J. Wen, Q. Miao

Pages: 3399 - 3410

29) A New Neural Network PI-Funnel Distributed Control for Cooperative Manipulator With Global Prescribed Performance

Author(s): C. -H. Zhang, Z. -Y. Hu, Y. -J. Li, Y. Zhang, C. -C. Hua

Pages: 3411 - 3419

30) Enhanced Residual Tensor Norm Minimization for Multiview Subspace Clustering

Author(s): Q. Zheng

Pages: 3420 - 3434

31) GHAttack: Generative Adversarial Attacks on Heterogeneous Graph Neural Networks

Author(s): S. Li, X. Liao, H. Zhu, J. Le, L. Chu

Pages: 3435 - 3449

32) A Dynamic Neural Network-Based Control Method Using Reinforcement Learning for Nonlinear Parameter-Varying System With Application to Morphing Aircraft

Author(s): C. -X. Li, H. -N. Wu

Pages: 3450 - 3462

33) Distributed Learning for Online Stochastic Mixed Equilibrium Problems With Heavy-Tailed Noises

Author(s): H. Xu, K. Lu, Y. -L. Wang, Q. Zhu

Pages: 3463 - 3474

34) Diffusion-Augmented Graph Contrastive Learning for Knowledge-Aware Recommendation

Author(s): J. Zhang, X. Jiang, Y. Wang, S. Meng, C. Zhou

Pages: 3475 - 3487

35) Brain-Inspired Chaotic Graph Backpropagation for Combinatorial Optimization

Author(s): P. Tao, K. Aihara, L. Chen

Pages: 3488 - 3500

Monday, July 6, 2026

Soft Computing, Volume 30, Issue 6, June 2026

1) Semi-De Morgan almost distributive lattices

Author(s): Gezahagne Mulat Addis, Wondwosen Zemene Norahun, B. Davvaz

Pages: 3783 - 3798

2) F-expansion method analysis of Navier-Bernoulli hypothesis and Love’s hypothesis driven nonlinear dispersive waves in Murnaghan’s cylindrical elastic rod

Author(s): Rathinavel Silambarasan, Adem Kilicman, Zakia Hammouch

Pages: 3799 - 3827

3) Enhancing grid stability reactive power management in photovoltaic and superconducting magnetic energy storage inverters using hybrid approach

Author(s): Dinesh Kumar Singh, Manoranjan Kumar Sinha, Sangram Keshari Das

Pages: 3829 - 3842

4) A hybrid atom search optimization algorithm and its application in quantitative structure–activity relationship modeling

Author(s): Yu Liu, Yu-kun Wang, Yu-tong Li

Pages: 3843 - 3871

5) Fuzzy Tsetlin automata and their application in analog computing

Author(s): Evgeny Kagan, Alexander Rybalov

Pages: 3873 - 3887

6) Credibilistic portfolio optimization with investors’ coherent perceptions: a three-way decision approach

Author(s): He Li, Xiu Jin, Yueli Liu

Pages: 3889 - 3928

7) Fractional dynamics in complex media: a meshless numerical framework for distributed-order models with Riesz diffusion

Author(s): Mohammad Hossein Derakhshan, Safar Irandoust Pakchin

Pages: 3929 - 3950

8) Entropy-based goodness-of-fit test for the Weibull distribution under fuzzy data

Author(s): Hadi Alizadeh Noughabi

Pages: 3951 - 3968

9) Integrated soft computing approach in modelling and optimising mechanical oil expression from pentaclethra macrophylla benth kernels

Author(s): Clement Adesoji Ogunlade, Ademola Kabir Aremu, Rahman Akinoso

Pages: 3969 - 3983

10) Deep learning techniques for early diagnosis of Alzheimer’s disease and frontotemporal dementia using EEG signals

Author(s): Amir Hossein Hachamnia, Ali MehriMaryam Jamaati

Pages: 3985 - 4002

11) A condition-based maintenance strategy for the aircraft routing problem to cost minimization and fair assignment of aircraft: a robust optimization approach

Author(s): Hiwa Esmaeilzadeh, Alireza Rashidi Komijan, Reza Tavakkoli-Moghaddam

Pages: 4003 - 4025

12) A redundancy allocation problem for a series–parallel system with multiple choice technologies considering fuzzy sense with ambiguity and vagueness

Author(s): Anushri Maji, Avijit Duary, Shyamal Kumar Mondal

Pages: 4027 - 4063

13) Cluster-based framework for metaheuristic empirical similarity

Author(s): Jair Pereira Junior, Claus Aranha

Pages: 4065 - 4085

14) Enhanced opposition-based sea horse optimizer to solve optimization problems

Author(s): Priteesha Sarangi, Prabhujit Mohapatra

Pages: 4087 - 4110

15) Access points deployment in data offloading using evolutionary optimization algorithms

Author(s): Maryam Jawad Kadhim, Rasool Sadeghi, Reihaneh Khorsand

Pages: 4111 - 4125

16) The single-dependence sequential testing problem for the living kidney donor workup process

Author(s): Joshua Nielsen, Hadi El-Amine, Naoru Koizumi

Pages: 4127 - 4142

17) Dynamic planar hub location considering stochastic time-dependent demand: A hybrid approach

Author(s): Amir Khaleghi

Pages: 4143 - 4168

18) Reciprocal results for the study of some optimization models

Author(s): Savin Treanţă

Pages: 4169 - 4177

19) Intelligent prediction of volcanic activity using 3D distributed mobile wireless sensor networks

Author(s): Fatma Sbiaa, Nadia Boufares, Mohamed Mabrouk

Pages: 4179 - 4199

20) Estimation of the microbial biomass carbon of soil using a hybrid multilayer perceptron-hunger games search algorithm

Author(s): Samad Emamgholizadeh, Changhyun Jun, Rasoul Ameri

Pages: 4201 - 4217

21) Preplysis: automation of time series data preprocessing & analysis

Author(s): Mehak Usmani, Zulfiqar Ali Memon

Pages: 4219 - 4236

22) A semi-supervised domain adaptive learning approach to unstructured road region semantic segmentation for greenhouse robots

Author(s): Bishu Gao, Liang Gong, Chengliang Liu

Pages: 4237 - 4249

23) Road crash severity classification: a novel integrated approach

Author(s): Rajendra Kumar Roul, Samridhi Mangla

Pages: 4251 - 4271

24) Coverage path planning for multiple UAVs in prioritized regions using ant colony optimization

Author(s): Sung Won Cho, Jae Hyeok Lee, Chulung Lee

Pages: 4273 - 4294

25) A hybrid approach to multi-objective unrelated parallel machine scheduling with a new interpretation of job batches and families

Author(s): Reza Alizadeh Foroutan

Pages: 4295 - 4326

26) Improved Grey Wolf Optimization and its application in regression testing

Author(s): Aishwarya Gupta, Bharat Krishan Mahaur

Pages: 4327 - 4346

27) A distributed PI-based dynamic task allocation method for multi-AUV systems

Author(s): Huizhen Yang, Jun Yang, Yuchen Lin

Pages: 4347 - 4364

28) MultiRel:Extracting multiple relation triplets by graph attention network

Author(s): Zixi Jia, Changzhi Duan, Jingyu Ru

Pages: 4365 - 4378

29) Neural network approaches for quantum energy level prediction

Author(s): Alireza Khalili Golmankhaneh, Roman Pasechnik, Palle E. T. Jørgensen

Pages: 4379 - 4385

30) Research on the application of the improved YOLOv10s algorithm in eye disease detection

Author(s): Hongfang Ma, Lihong Chang, Xue Bai

Pages: 4387 - 4412

31) Texture-aware 3D reconstruction via multi-level attention mechanisms and fission-based interactive learning

Author(s): Ashish Kumar Gupta, Piyush Kumar

Pages: 4413 - 4426

32) MB-PIRNN: Matrix-based physics-informed recurrent neural network for solving Lane-Emden type equation

Author(s): Maryam Babaei, Hassan Dana Mazraeh, Kourosh Parand

Pages: 4427 - 4446

33) Structure-enhanced embedding for attributed network with graph neural network in context of transfer learning

Author(s): Phu Pham

Pages: 4447 - 4466

34) Block-fused attention-driven adaptively-pooled ResNet model for improved cervical cancer classification

Author(s): Saurabh Saini, Kapil Ahuja, Akshat S. Chauhan

Pages: 4467 - 4495

35) Sub-factors based decision making with uncertainty for sustainable women empowerment

Author(s): Doli Adhikari, Kamal Hossain Gazi, Sankar Prasad Mondal

Pages: 4497 - 4542

36) Objective diagnosis of psychotic disorders using Multi-branch Deep Learning model on time-series motor activity signals

Author(s): Muzafar Mehraj Misgar, M. P. S. Bhatia

Pages: 4543 - 4560

37) Retraction Note: Sp-Closedness and convergent sequences in IFMS and its generalization to L-fuzzy metric space

Author(s): Vakeel A. Khan, Izhar Ali Khan, Mobeen Ahmad

Pages: 4561 - 4561

38) Retraction Note: Experimental and fuzzy modelling analysis on dynamic cutting force in micro milling

Author(s): Qun Ren, Marek Balazinski, Sofiane Achiche

Pages: 4563 - 4563

39) Retraction Note: Soft computing model using cluster-PCA in Port model for throughput forecasting

Author(s): Liupeng Jiang, He Jiang, Harry Haoxiang Wang

Pages: 4565 - 4565

40) Retraction Note: Artificial neural network-based secured communication strategy for vehicular ad hoc network

Author(s): B. V. D. S. Sekhar, Pamula Udayaraju, M. S. S. S. Srinivas

Pages: 4567 - 4567

Friday, July 3, 2026

Weekly Review 3 July 2026

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

1. AI find security vulnerabilities so quickly we need AI to find solutions: https://www.rnz.co.nz/news/science-and-technology/618615/fighting-ai-with-ai-the-only-way-to-keep-up-on-new-frenetic-frontier
2. AI coding costs will soon exceed the cost of human developers: https://www.theregister.com/ai-and-ml/2026/06/24/ai-coding-agents-could-soon-cost-more-than-the-developers-using-them/5260864
3. Loop engineering looks like a scheme to funnel more money to AI companies: https://www.theregister.com/ai-and-ml/2026/06/24/loop-engineering-latest-ai-buzzword-still-needs-humans-in-the-loop/5261735
4. People have no patience with AI service agents: https://futurism.com/artificial-intelligence/customers-fed-up-ai-service-agents
5. How to beomce an AI architect: https://www.kdnuggets.com/the-roadmap-to-becoming-an-ai-architect-in-2026
6. Microsoft used AI to analyse malware infrastructure, leading to it being taken down: https://www.theregister.com/security/2026/06/24/microsoft-uses-ai-to-link-two-malware-operations-in-racketeering-suit/5261656
7. What do mathematicians do now that AI can do maths?: https://spectrum.ieee.org/ai-in-mathematics
8. AI raises a lot of issues with disaster recovery planning: https://www.informationweek.com/incident-response/ai-disaster-recovery-planning-is-years-behind-ai-adoption
9. AI means that security incidents can quickly escalate: https://www.theregister.com/security/2026/06/23/five-eyes-spooks-warn-ai-means-infosec-incidents-can-become-major-operational-and-financial-crises/5259916
10. Games that used generative AI receive poorer reviews compared to human-only created games: https://www.extremetech.com/gaming/games-that-use-generative-ai-receive-53-poorer-firstmonth-reviews-study
11. Ideology should never be a reason to retract an article. Boycott the Journal of the New Zealand College of Clinical Psychologists. Do not submit to it, do not review for it, do not cite it: https://www.stuff.co.nz/nz-news/360997918/peer-reviewed-article-maori-author-removed-because-it-wasnt-line-organisations-values
12. Organisations need to start preparing now for the security risks posed by AI: https://www.rnz.co.nz/news/politics/616849/nz-organisations-told-to-prepare-for-significant-rise-in-risks-from-ai
13. There is a strong argument that the companies most responsible for replacing human workers with AI should be responsible for retraining those workers: https://www.theregister.com/ai-and-ml/2026/06/26/ai-giants-back-non-profit-to-retrain-workers-left-behind-by-ai/5262601
14. Medical AI can be tricked into disclosing confidential information: https://www.theregister.com/ai-and-ml/2026/06/24/medical-diagnosis-ais-can-be-tricked-into-telling-whose-data-trained-them/5261501
15. We need regulation of AI: https://www.rnz.co.nz/news/in-depth/618503/karen-hao-exposing-the-brute-force-of-ai-that-is-trying-to-make-humans-redundant
16. AI is starting to learn the nuances of human emotion: https://spectrum.ieee.org/emotion-ai-context
17. AI is driving up the price of everything: https://www.computerworld.com/article/4186923/the-ai-revolution-comes-with-a-hidden-tax.html
18. A project that uses AI to help screen for bowel cancer: https://www.rnz.co.nz/news/health/631840/ai-promises-breakthrough-in-bowel-cancer-detection
19. Organisations are rolling out AI faster than their infrastructure can cope with: https://www.theregister.com/devops/2026/06/24/companies-are-not-looking-before-theyre-leaping-into-the-ai-playpen/5261819
20. AI is the asbestos in the walls of our technological society says Cory Doctorow: https://arstechnica.com/gadgets/2026/06/how-to-burst-the-ai-bubble-strike-at-its-roots/
21. AI still can't tell the difference between fact and fiction: https://futurism.com/artificial-intelligence/duckduckgo-ai-trump-rabies
22. Adjusting the clock speed of GPU can reduce energy use without losing computation speed: https://spectrum.ieee.org/llm-training-energy-saving-trick
23. Experience software engineers are spending a lot of time fixing AI generated code: https://futurism.com/artificial-intelligence/software-engineers-crisis-drown-ai-code
24. AI helps to recover some of the text on a Roman scroll that was burned in the eruption of Vesuvius: https://www.theguardian.com/technology/2026/jun/24/ai-read-papyrus-scroll-burnt-vesuvius-eruption
25. Competitors can duplicate an AI if they can query it enough: https://www.computerworld.com/article/4189347/anthropic-accuses-alibaba-of-using-25000-fake-accounts-to-scrape-claude-ai-2.html

IEEE Transactions on Fuzzy Systems, Volume 34, Issue 7, July 2026

1) Fuzzy-Aware Loss for Source-Free Domain Adaptation in Visual Emotion Recognition

Author(s): Y. Zheng, Y. Zhang, Y. Wang, L. -P. Chau

Pages: 2077 - 2089

2) Multiview Fuzzy Clustering With Anchor Graph

Author(s): C. Liu, F. Nie, M. Chang, R. Wang, X. Li

Pages: 2090 - 2103

3) Partial Multilabel Feature Selection via Fuzzy Two-Stage Disambiguation and Weighted Pure Relevance

Author(s): C. Huang, D. Xu, Y. Kang, J. Dai

Pages: 2104 - 2117

4) Adaptive Fuzzy Consensus of Multiple Uncertain Euler–Lagrange Systems With Sampled-Data Output Interactions

Author(s): T. Wang, W. Zou, J. Guo

Pages: 2118 - 2128

5) Funnel-Based Predefined-Time Control for Heterogeneous Vehicles With General Narrow Tunnel Constraints

Author(s): T. Yang, S. Ding, G. Cui, Z. Lu

Pages: 2129 - 2138

6) Fuzzy Prescribed-Time Control for Bipartite Time-Varying Formation of Heterogeneous Multiagent Systems With Actuator Faults

Author(s): H. Zhang, W. Jin, Y. Yang, J. Zhang

Pages: 2139 - 2148

7) General Type-2 Hierarchical Fuzzy Model-Agnostic Explanation of Image Classification for XAI

Author(s): F. Yin, H. -K. Lam, D. Watson

Pages: 2149 - 2158

8) $\mathcal {L}_{1}$ Adaptive Fuzzy Control for Unmanned Aerial Vehicle With Disturbance Observer Under Uncertainties and Disturbances

Author(s): X. Xu, C. Wang, Z. Huang, J. Wang, H. Shen

Pages: 2159 - 2170

9) Power Fuzzy Clustering: Flexible Distance Metrics and Inclusion of Covariates

Author(s): P. T. Nguyen, C. Tortora, A. Punzo

Pages: 2171 - 2182

10) FMHC: A Fuzzy Multihierarchical Centrality Strategy for Node Evaluation in Hypergraphs

Author(s): S. Liu, Y. Tang, W. Pedrycz, K. Hirota, F. Yan

Pages: 2183 - 2196

11) Predicting Multiexpert Consensus in Medical Image Segmentation With Interpretability: An Enhanced Relative Fuzzy Connectedness Method

Author(s): T. Wu, Z. Xu, Y. Zheng

Pages: 2197 - 2210

12) MTSK-DA: Interpretable Multicenter Transfer via Discriminative Alignment and Attention-Guided Graph Regularization

Author(s): J. Yao, W. Fu, P. Qian, C. Wang, X. Guo, J. Liu, Z. Zhang

Pages: 2211 - 2224

13) Fin Stabilizer-Based Finite-Time ${{\mathcal{H}}_\infty }$ Interval Type-2 Fuzzy Synthesis for Ship Rolling Motion With Bouc–Wen Hysteresis Under Imperfect Premise Matching

Author(s): A. Arumugam, W. -J. Chang, Y. -C. Lee, Y. -H. Lin, L. Li, M. S. Aslam

Pages: 2225 - 2238

14) Explainable AI for Sentiment Classification With Type-1 Fuzzy and Type-2 Fuzzy Models

Author(s): S. Yadav, N. K. Verma

Pages: 2239 - 2251

15) Semisupervised Low-Rank Fuzzy Clustering for Hyperspectral Images

Author(s): Y. Wang, Z. Shi, L. Chen, J. Zhou, X. Shen, C. Zhang, W. Ding, C. L. P. Chen

Pages: 2252 - 2265

16) DioR: Distributed Cost-Sensitive Fuzzy-Entropy-Based Approach for Semisupervised Feature Selection

Author(s): H. Ju, L. Qiao, K. Liu, W. Ding, X. Yang, W. Pedrycz, M. Xu

Pages: 2266 - 2280

17) Fuzzy Intermittent Boundary Control for Nonlinear Delayed Markov Jump Distributed Parameter Systems

Author(s): Z. -P. Wang, H. -R. Su, J. Qiao, H. Han, H. -N. Wu, L. Huang

Pages: 2281 - 2295

18) Mechanism-Guided Virtual Sample Generation With Interval Type-2 Fuzzy Regulation: Application to Municipal Solid Waste Incineration

Author(s): J. Zhuang, H. Ding, J. Qiao

Pages: 2296 - 2307

19) Intensively Quantized Integrated Fuzzy Neural Network for High-Accuracy Image Classification

Author(s): J. Yao, Y. Guo

Pages: 2308 - 2322

20) Steering Angle Tracking Control Considering the Negative Effect of Unsprung Mass for the Kingpin Steering System Based on Interval Type-2 Fuzzy Logic Approach

Author(s): Z. Ma, Z. Zhang, C. Wang, W. Zhao, W. Cao

Pages: 2323 - 2336

21) Distributed Fuzzy Proportional-Integral State Estimation Over Sensor Networks With Pull-Type Gossip Protocols and Fading Data

Author(s): Y. Wang, Z. Wang, L. Zou, F. Wang

Pages: 2337 - 2350

22) $\varepsilon$-Nash Equilibrium Model Predictive Control for Takagi–Sugeno Fuzzy Multiagent Systems: A Finite-Horizon Noncooperative Game Approach

Author(s): Y. Dong, Z. Huang, Y. Yuan

Pages: 2351 - 2362

23) Dynamic Trend Modeling With Joint Interval Fuzzy Information Granulation: A Framework for Long-Term Forecasting of Interval-Valued Time Series

Author(s): Y. Jiang, F. Yu, W. Zeng, C. Ouyang, F. Li, J. Wang

Pages: 2363 - 2377

24) Multivariate Prediction Model With Adaptive Kernel Configuration Based on Asymmetric Transfer Entropy and Fuzzy $C$-Means in CNN-Transformer

Author(s): H. Hu, J. Zhan, J. H. Yoon, W. Ding

Pages: 2378 - 2392

25) Three-Way Conflict Resolution in Fuzzy Situation Tables With Nonlinear Conflict Functions

Author(s): J. Liu, M. Hu, W. Ding, W. Pedrycz, G. Lang

Pages: 2393 - 2407

26) A Predefined-Time Convergent Dual-Channel Fuzzy Attention RNN for Motion Planning of Robotic Systems: Application to Robot-Assisted Puncture

Author(s): B. Zheng, C. Li, D. Yan, Z. Zhang, J. Yu, P. X. Liu

Pages: 2408 - 2422

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