Computational Intelligence

Author(s): Anushikha Singh, Rukhshanda Hussain, Rajarshi Bhattacharya, Brejesh Lall, B.K. Panigrahi, Anjali Agrawal, Anurag Agrawal, Balamugesh Thangakunam, D.J. Christopher

Pages: 604 - 613

10) Image Tampering Detection With Frequency-Aware Attention and Multiview Fusion

Author(s): Xu Xu, Junxin Chen, Wenrui Lv, Wei Wang, Yushu Zhang

Pages: 614 - 625

11) NICASU: Neurotransmitter Inspired Cognitive AI Architecture for Surveillance Underwater

Author(s): Mehvish Nissar, Badri Narayan Subudhi, Amit Kumar Mishra, Vinit Jakhetiya

Pages: 626 - 638

12) Att2CPC: Attention-Guided Lossy Attribute Compression of Point Clouds

Author(s): Kai Liu, Kang You, Pan Gao, Manoranjan Paul

Pages: 639 - 650

13) Neural Network-Based Ensemble Learning Model to Identify Antigenic Fragments of SARS-CoV-2

Author(s): Syed Nisar Hussain Bukhari, Kingsley A. Ogudo

Pages: 651 - 660

14) Bridging the Climate Gap: Multimodel Framework With Explainable Decision-Making for IOD and ENSO Forecasting

Author(s): Harshit Tiwari, Prashant Kumar, Ramakant Prasad, Kamlesh Kumar Saha, Anurag Singh, Hocine Cherifi, Rajni

Pages: 661 - 675

15) Model-Heterogeneous Federated Graph Learning With Prototype Propagation

Author(s): Zhi Liu, Hanlin Zhou, Xiaohua He, Haopeng Yuan, Jiaxin Du, Mengmeng Wang, Guojiang Shen, Xiangjie Kong, Feng Xia

Pages: 676 - 689

16) Semisupervised Breast MRI Density Segmentation Integrating Fine and Rough Annotations

Author(s): Tianyu Xie, Yue Sun, Hongxu Yang, Shuo Li, Jinhong Song, Qimin Yang, Hao Chen, Mingxiang Wu, Tao Tan

Pages: 690 - 699

17) NL-CoWNet: A Deep Convolutional Encoder–Decoder Architecture for OCT Speckle Elimination Using Nonlocal and Subband Modulated DT-CWT Blocks

Author(s): P. S. Arun, Bibin Francis, Varun P. Gopi

Pages: 700 - 709

18) Multiattribute Deep CNN-Based Approach for Detecting Medicinal Plants and Their Use for Skin Diseases

Author(s): Prachi Dalvi, Dhananjay R. Kalbande, Surendra Singh Rathod, Harshal Dalvi, Amey Agarwal

Pages: 710 - 724

19) Deep Feature Unsupervised Domain Adaptation for Time-Series Classification

Author(s): Nannan Lu, Tong Yan, Song Zhu, Jiansheng Qian, Min Han

Pages: 725 - 737

20) Enhanced LiDAR-Based Localization via Multiresolution Iterative Closest Point Algorithms and Feature Extraction

Author(s): Yecheng Lyu, Xinkai Zhang, Feng Tao

Pages: 738 - 746

21) Swin-MGNet: Swin Transformer Based Multiview Grouping Network for 3-D Object Recognition

Author(s): Xin Ning, Limin Jiang, Weijun Li, Zaiyang Yu, Jinlong Xie, Lusi Li, Prayag Tiwari, Fernando Alonso-Fernandez

Pages: 747 - 758

22) A Two-Level Neural-RL-Based Approach for Hierarchical Multiplayer Systems Under Mismatched Uncertainties

Author(s): Xiangnan Zhong, Zhen Ni

Pages: 759 - 772

23) Adaptive Neural Network Finite-Time Event Triggered Intelligent Control for Stochastic Nonlinear Systems With Time-Varying Constraints

Author(s): Jia Liu, Jiapeng Liu, Qing-Guo Wang, Jinpeng Yu

Pages: 773 - 779

24) DDM-Lag: A Diffusion-Based Decision-Making Model for Autonomous Vehicles With Lagrangian Safety Enhancement

Author(s): Jiaqi Liu, Peng Hang, Xiaocong Zhao, Jianqiang Wang, Jian Sun

Pages: 780 - 791

Friday, March 14, 2025

Weekly Review 14 March 2025

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

An AI that can grade maths problems like a teacher: https://dataconomy.com/2025/03/07/can-ai-grade-math-like-a-teacher-research-says-yes/
At least some tech executives recognise the dangers to privacy that AI pose: https://techcrunch.com/2025/03/07/signal-president-meredith-whittaker-calls-out-agentic-ai-as-having-profound-security-and-privacy-issues/
Looks like a bit of a messy free for all in terms of legislation on AI in the US: https://techcrunch.com/2025/03/07/us-lawmakers-have-already-introduce-hundreds-of-ai-bills-in-2025/
Many years ago we'd use ensembles of simple AI to boost performance. Turns out that using multiple AI in concert is still a way to get better results: https://www.informationweek.com/machine-learning-ai/why-using-multiple-ais-is-trending-now
AI summaries of app store reviews. I feel that this will not end well: https://dataconomy.com/2025/03/06/ai-is-now-summarizing-apple-app-store-reviews/
If it's human artists using AI as a tool, I don't think it's a problem, but purely AI generated art shouldn't really be worth much at all: https://techcrunch.com/2025/03/06/christies-ai-art-auction-reportedly-exceeds-expectations/
Some tips for getting the most out of Copilot: https://www.computerworld.com/article/1611598/microsoft-copilot-tips-how-to-use-copilot-right.html
Why an AI arms race is a bad idea: https://theregister.com/2025/03/06/schmidt_ai_superintelligence/
AI is just a tool, it will soon be useful as an aid to scientists, but won't replace scientists themselves: https://techcrunch.com/2025/03/05/experts-dont-think-ai-is-ready-to-be-a-co-scientist/
Fear of AI is already leading to violence: https://www.theguardian.com/global/ng-interactive/2025/mar/05/zizians-artificial-intelligence
An AI to assist physicians. But how well does it guard patient privacy? https://dataconomy.com/2025/03/04/microsoft-new-ai-assistant-aims-to-fix-doctor-burnout/
Don't use AI to replace connections with real people: https://techcrunch.com/2025/03/07/health-expert-warns-of-leaning-too-heavily-on-ai-for-social-connections/
Now propagandists are poisoning AI training data: https://techcrunch.com/2025/03/07/russian-propoganda-is-reportely-influencing-ai-chatbot-results/
AI don't really innovate, so the fear that they'll become software yes-men is well founded: https://techcrunch.com/2025/03/06/hugging-faces-chief-science-officer-worries-ai-is-becoming-yes-men-on-servers/
How AI can be applied to project management: https://dataconomy.com/2025/03/06/artificial-intelligence-in-product-management-how-al-eases-the-life-of-a-product-manager-tools-overview-and-personal-experience/
An overview of agentic AI: https://www.kdnuggets.com/what-data-scientists-need-to-know-about-ai-agents-and-autonomous-systems
The problems with AI transparency, especially in healthcare: https://www.extremetech.com/science/the-paradox-of-trust-and-transparency-in-ai
Avoiding mistakes when building an AI governance platform: https://www.informationweek.com/machine-learning-ai/how-to-build-a-reliable-ai-governance-platform
Turns out certain advanced AI can also get stuck in the trap of overthinking: https://spectrum.ieee.org/reasoning-in-ai Next they'll be getting procrastination anxiety
Another tech industry giant warns about the dangers of AI: https://dataconomy.com/2025/03/04/steve-wozniak-ai-warning-it-has-a-dark-side/
A PhD-level AI isn't that impressive to me, I know lots of people with PhDs and some of them aren't that smart: https://arstechnica.com/ai/2025/03/what-does-phd-level-ai-mean-openais-rumored-20000-agent-plan-explained/
It's not all bad news regarding AI in education, a lot of applications are really helpful: https://www.theguardian.com/education/2025/mar/06/the-english-schools-looking-to-dispel-doom-and-gloom-around-ai
The BBC intends to use AI to better serve its readers and viewers: https://www.theguardian.com/media/2025/mar/06/bbc-news-ai-artificial-intelligence-department-personalised-content
Using AI to process a vast (1M+) number of data sources in real time: https://www.bigdatawire.com/2025/02/27/the-ai-firm-turning-1m-real-time-data-sources-into-actionable-intelligence/

Complex & Intelligent Systems, Volume 11, Issue 3, March 2025

1) Cl2sum: abstractive summarization via contrastive prompt constructed by LLMs hallucination

Author(s): Xiang Huang, Qiong Nong, Xuan Zhang

2) Chaos-enhanced metaheuristics: classification, comparison, and convergence analysis

Author(s): Abdelhadi Limane, Farouq Zitouni, Ali Wagdy Mohamed

3) A novel three-way distance-based fuzzy large margin distribution machine for imbalance classification

Author(s): Li Liu, Jinrui Guo, Guojun Huang

4) Control strategy of robotic manipulator based on multi-task reinforcement learning

Author(s): Tao Wang, Ziming Ruan, Chong Chen

5) Tailored meta-learning for dual trajectory transformer: advancing generalized trajectory prediction

Author(s): Feilong Huang, Zide Fan, Keqing Zhu

6) Explainable and secure framework for autism prediction using multimodal eye tracking and kinematic data

Author(s): Ahmad Almadhor, Areej Alasiry, Sidra Abbas

7) Incremental data modeling based on neural ordinary differential equations

Author(s): Zhang Chen, Hanlin Bian, Wei Zhu

8) Sequence-to-point learning based on spatio-temporal attention fusion network for non-intrusive load monitoring

Author(s): Shiqing Zhang, Youyao Fu, Jun Yu

9) Swin-Diff: a single defocus image deblurring network based on diffusion model

Author(s): Hanyan Liang, Shuyao Chai, Jiangming Kan

10) HFA-Net: hierarchical feature aggregation network for micro-expression recognition

Author(s): Meng Zhang, Wenzhong Yang, Danny Chen

11) Research on morphological knowledge-guided low-resource agglutinative languages-Chinese translation

Author(s): Gulinigeer Abudouwaili, Sirajahmat Ruzmamat, Aishan Wumaier

12) Manet: motion-aware network for video action recognition

Author(s): Xiaoyang Li, Wenzhu Yang, Chen Zhang

Monday, March 10, 2025

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 2, February 2025

1) Guest Editorial: Operationalizing Responsible AI

Author(s): Qinghua Lu, Apostol Vassilev, Jun Zhu, Foutse Khomh

Pages: 252 - 253

2) Ethical Aspects of ChatGPT in Software Engineering Research

Author(s): Muhammad Azeem Akbar, Arif Ali Khan, Peng Liang

Pages: 254 - 267

3) FedDGA: Federated Multitask Learning Based on Dynamic Guided Attention

Author(s): Haoyun Sun, Hongwei Zhao, Liang Xu, Weishan Zhang, Hongqing Guan, Su Yang

Pages: 268 - 280

4) FairCompass: Operationalizing Fairness in Machine Learning

Author(s): Jessica Liu, Huaming Chen, Jun Shen, Kim-Kwang Raymond Choo

Pages: 281 - 291

5) Frequency Attacks Based on Invertible Neural Networks

Author(s): Ming-Wen Shao, Jian-Xin Yang, Ling-Zhuang Meng, Zhi-Yong Hu

Pages: 292 - 300

6) A Credible and Fair Federated Learning Framework Based on Blockchain

Author(s): Leiming Chen, Dehai Zhao, Liping Tao, Kai Wang, Sibo Qiao, Xingjie Zeng, Chee Wei Tan

Pages: 301 - 316

7) A Membership Inference and Adversarial Attack Defense Framework for Network Traffic Classifiers

Author(s): Guangrui Liu, Weizhe Zhang, Xurun Wang, Stephen King, Shui Yu

Pages: 317 - 332

8) Privacy Inference Attack and Defense in Centralized and Federated Learning: A Comprehensive Survey

Author(s): Bosen Rao, Jiale Zhang, Di Wu, Chengcheng Zhu, Xiaobing Sun, Bing Chen

Pages: 333 - 353

9) Rethinking Transferable Adversarial Attacks With Double Adversarial Neuron Attribution

Author(s): Zhiyu Zhu, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Huaming Chen, Kim-Kwang Raymond Choo

Pages: 354 - 364

10) Latency- and Privacy-Aware Convolutional Neural Network Distributed Inference for Reliable Artificial Intelligence Systems

Author(s): Yuhao Hu, Xiaolong Xu, Lianyong Qi, Xiaokang Zhou, Xiaoyu Xia

Pages: 365 - 377

11) Nudging Toward Responsible Recommendations: A Graph-Based Approach to Mitigate Belief Filter Bubbles

Author(s): Mengyan Wang, Yuxuan Hu, Shiqing Wu, Weihua Li, Quan Bai, Zihan Yuan, Chenting Jiang

Pages: 378 - 392

12) A Locality-Sensitive-Hashing-Based Collaborative Recommendation Method for Responsible AI-Driven Recommender Systems

Author(s): Wenmin Lin, Xinyi Zhou, Lu Sun, Lianyong Qi, Sang-Bing Tsai, Yihong Yang, Hanwen Liu, Huaizhen Kou, Lingzhen Kong

Pages: 393 - 404

13) LLMaaS: Serving Large-Language Models on Trusted Serverless Computing Platforms

Author(s): Zinuo Cai, Rongbo Ma, Yicheng Fu, Weishan Zhang, Ruhui Ma, Haibing Guan

Pages: 405 - 415

14) Fostering Human Rights in Responsible AI: A Systematic Review for Best Practices in Industry

Author(s): Maria Teresa Baldassarre, Danilo Caivano, Berenice Fernández Nieto, Domenico Gigante, Azzurra Ragone

Pages: 416 - 431

15) Empowering Machine Learning With Scalable Feature Engineering and Interpretable AutoML

Author(s): Hassan Eldeeb, Radwa Elshawi

Pages: 432 - 447

16) Temporal Knowledge Extrapolation Based on Fine-Grained Tensor Graph Attention Network for Responsible AI

Author(s): Jing Yang, Chengxuan Huang, Xiangli Yang, Laurence T. Yang, Yuan Gao, Cong Liu

Pages: 448 - 457

17) Under the Influence: A Survey of Large Language Models in Fake News Detection

Author(s): Soveatin Kuntur, Anna Wróblewska, Marcin Paprzycki, Maria Ganzha

Pages: 458 - 476

18) Artificial Intelligence Across Europe: A Study on Awareness, Attitude and Trust

Author(s): Teresa Scantamburlo, Atia Cortés, Francesca Foffano, Cristian Barrué, Veronica Distefano, Long Pham, Alessandro Fabris

Pages: 477 - 490

Friday, March 7, 2025

Weekly Review 7 March 2025

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

AI aren't empathetic, but they are starting to be able to fake it: https://dataconomy.com/2025/02/27/ai-is-advancing-but-can-chatbots-understand-human-feelings/
Event-driven AI agents: https://www.bigdatawire.com/2025/02/26/the-future-of-ai-agents-is-event-driven/
A new AI medium-range weather prediction system: https://www.computerworld.com/article/3832755/new-european-ai-model-to-improve-weather-forecasting.html
The real benchmark for AI is the contribution it makes to GDP, not whether it can replace people: https://www.theregister.com/2025/02/26/microsofts_nadella_wants_to_see/
How AI can be used in digital marketing: https://dataconomy.com/2025/02/27/ai-content-marketing-how-artificial-intelligence-is-transforming-digital-strategies/
Using the savings from replacing people with AI to buy more AI doesn't sit quite right with me for some reason: https://www.theregister.com/2025/02/26/workday_talks_up_ai_agent_platform/
Turns out ensembles of AI are still a good idea: https://dataconomy.com/2025/02/27/how-multiple-ai-models-can-team-up-to-solve-complex-problems/
The majority of university students now use AI to write their assignments: https://www.theguardian.com/education/2025/feb/26/uk-universities-warned-to-stress-test-assessments-as-92-of-students-use-ai
More predictions on the impact of AI on employment: https://www.theregister.com/2025/02/25/bls_ai_job_impacts_predictions/
Being a CIO in the age of AI: https://www.informationweek.com/it-leadership/how-cios-can-navigate-their-jobs-in-the-ai-era
Python is the number 1 language for doing AI. Here are some Python libraries you should know about: https://www.kdnuggets.com/11-python-libraries-every-ai-engineer-should-know
Now X is being investigated over using private data to train their AI: https://www.theverge.com/news/621330/another-investigation-into-x
Humans innovate, AI imitates. There needs to be more protection for the work of creative people: https://www.theguardian.com/technology/2025/feb/26/prioritise-artists-over-tech-ai-copyright-debate-mps-say
Using insecure code to train AI leads to models that quickly become dangerous: https://techcrunch.com/2025/02/27/ai-models-trained-on-unsecured-code-become-toxic-study-finds/
Are Large Vision Models the next big thing for AI? https://www.bigdatawire.com/2025/02/21/when-will-large-vision-models-have-their-chatgpt-moment/
Ways to ethically integrate AI into academic writing: https://spectrum.ieee.org/challenges-upsides-ai-scientific-writing
Reinforcement learning AI has been used to control a robot bicycle that can also jump: https://www.theverge.com/news/618359/robotics-ai-institute-robot-bike-reinforcement-learning
While AI can generate human-sounding text, they still can't handle tasks like a to-do list: https://www.theverge.com/openai/619352/chatgpt-tasks-operator-productivity
An AI tool that automates data handling tasks. But will it hallucinate? https://www.bigdatawire.com/2025/02/04/ai-agent-claims-80-reduction-in-time-to-complete-data-tasks/
AI companies might want to replace teachers with AI, but that doesn't mean it's a good idea: https://www.insidehighered.com/opinion/blogs/just-visiting/2025/02/27/make-profit-ai-companies-will-have-take-your-job
Is the sunk cost fallacy pushing businesses to keep pouring money into the hardware for AI? https://www.theregister.com/2025/02/25/shaking_off_wall_street_jitters/
AI is making major inroads into mathematics, solving problems with so many steps that human mathematicians couldn't do them: https://spectrum.ieee.org/math-ai
Using AI to reduce wood wastage: https://techcrunch.com/2025/02/24/cambium-is-building-an-ai-that-helps-turn-waste-wood-into-usable-lumber/
Using AI to produce fake images and videos is generally unethical, but damn this is funny: https://www.theverge.com/elon-musk/618315/someone-flooding-department-of-housing-and-urban-development-monitors

Tuesday, March 4, 2025

IEEE Transactions on Fuzzy Systems, Volume 33, Issue 3, March 2025

1) Exploring the Potential of Fuzzy Sets in Cyborg Enhancement: A Comprehensive Review

Author(s): Hang Su, Salih Ertug Ovur, Zhaoyang Xu, Samer Alfayad

Pages: 810 - 827

2) Hierarchical Rule-Base Reduction Fuzzy Control for Path Tracking Variable Linear Speed Differential Steer Vehicles

Author(s): Samuel R. Dekhterman, William R. Norris, Dustin Nottage, Ahmet Soylemezoglu

Pages: 828 - 841

3) Complete Synchronization of Discrete-Time Fractional-Order T-S Fuzzy Complex-Valued Neural Networks With Time Delays and Uncertainties

Author(s): Rong Chen, Hong-Li Li, Heng Liu, Haijun Jiang, Jinde Cao

Pages: 842 - 856

4) Finite-Time Resilient Filtering for Discrete-Time T–S Fuzzy Networked Control Systems With Switching Communication Channels Under Cyber Attacks

Author(s): Ramalingam Sakthivel, Oh-Min Kwon, Myeong Jin Park, Rathinasamy Sakthivel

Pages: 857 - 868

5) Adaptive Fuzzy Consensus Tracking Using Monotone Tube Boundary Functions for Nonlinear MASs Under FDI Attacks: A Single-Parameter Integration Approach

Author(s): Ben Niu, Luyao Wen, Xudong Zhao, Guangdeng Zong, Ding Wang, Baoyi Zhang

Pages: 869 - 880

6) SDHGCN: A Heterogeneous Graph Convolutional Neural Network Combined With Shadowed Set

Author(s): Bin Yu, Hengjie Xie, Jingxuan Chen, Mingjie Cai, Hamido Fujita, Weiping Ding

Pages: 881 - 893

7) Intermittent Control-Based Practical Fixed-Time Synchronization of T–S Fuzzy Complex Networks

Author(s): Fanchao Kong, Rongting Tao, Shuaibing Zhu, Jinhu Lü

894 - 907

8) Recursive Estimator-Based Fuzzy Adaptive Control for Discrete-Time Uncertain Systems With State Saturations and Missing Measurements

Author(s): Weiguo Shi, Jiapeng Liu, Hak-Keung Lam, Jinpeng Yu

Pages: 908 - 918

9) Cooperative Game-Based Consensus Adjustment Mechanism With Distribution Linguistic Preference Relations for Group Decision Making

Author(s): Yanjing Guo, Yiran Wang, Zhongming Wu, Fanyong Meng

Pages: 919 - 931

10) Multivariate Long-Term Forecasting Using Multilinear Trend Fuzzy Information Granules for Traffic Time Series

Author(s): Xianfeng Huang, Zhiyuan Huang, Jianming Zhan

Pages: 932 - 946

11) Adaptive Fuzzy Nonsingular Fixed-Time Bipartite Consensus Tracking Using Adding Power Integration Technique for Stochastic Nonlinear Constrained MASs

Author(s): Ben Niu, Yan Zhu, Yingying Liu, Zihao Shang, Ding Wang, Huanqing Wang, Wencheng Wang

Pages: 947 - 958

12) Label-Specific Multilabel Feature Selection Based on Fuzzy Implication Granularity Information

Author(s): Yangding Li, Hao Xie, Jianhua Dai

Pages: 959 - 970

13) Predefined-Time Fuzzy Adaptive Control for Spacecraft Pose Tracking With Asymptotic Error

Author(s): Hao Xu, Dianbiao Dong, Dengxiu Yu, Yan-Jun Liu

Pages: 971 - 981

14) Multiscale Information Granule-Based Time Series Forecasting Model With Two-Stage Prediction Mechanism

Author(s): Weina Wang, Songguang Zheng, Wanquan Liu, Hui Chen

Pages: 982 - 996

15) Chattering-Avoidance Discrete-Time Fuzzy Control With Finite-Time Preselected Qualities

Author(s): Xiangwei Bu, Ruining Luo, Humin Lei

Pages: 997 - 1008

16) Time Series Forecasting Based on Improved Multilinear Trend Fuzzy Information Granules for Convolutional Neural Networks

Author(s): Ronghua Zhang, Jianming Zhan, Weiping Ding, Witold Pedrycz

Pages: 1009 - 1023

17) Fault Detection for Interval Type-2 Fuzzy Markov Jump Systems With Medium Access Constraints and False Data Injection Attacks

Author(s): Li-Xiang Feng, Guang-Hong Yang

Pages: 1024 - 1036

18) Distilling Complex Knowledge Into Explainable T–S Fuzzy Systems

Author(s): Jorge S. S. Júnior, Jérôme Mendes, Francisco Souza, Cristiano Premebida

Pages: 1037 - 1048

19) Impulsive Fixed-Time Bipartite Synchronization of Fuzzy Multilayer Signed Networks

Author(s): Xiaofang Hu, Leimin Wang, Yin Sheng, Qiang Xiao, Ming-Feng Ge

Pages: 1049 - 1059

20) Fuzzy Stabilization of Networked Nonlinear Systems With Multiple Stochastic Transmission Intervals, Packet Losses, and FDI Attacks

Author(s): Hao-Yuan Sun, Shan Wang, Sheng-Li Du, Hong-Gui Han, Jun-Fei Qiao

Pages: 1060 - 1072

21) Multiscale Group Consensus With Heterogeneous Preference Structures Based on Fuzzy Social Networks and Prospect-Regret Theory

Author(s): Yibin Xiao, Jianming Zhan, Zeshui Xu, Rosa M. Rodríguez

Pages: 1073 - 1087

22) Lexicographic Minimum Solution to the System of Fuzzy Relation Inequalities With Addition-Min-Product Composition

Author(s): Qianyu Shu, Guocheng Zhu, Xingming Wang, Xiaopeng Yang

Pages: 1088 - 1098

23) Nonlinear Dynamic Models With Uncertainties Measured by Fuzzy Sets for Radiator-Heated Buildings

Author(s): Xiaotong Xing, Jiandong Wang, Shouchen Sun

Pages: 1099 - 1105

Monday, March 3, 2025

Soft Computing. Volume 29, Issue 3, February 2025

1) Some new construction methods of similarity measure on picture fuzzy sets

Author(s): Minxia Luo, Jianlei Gao, Wenling Li

Pages: 1273 - 1287

2) Arithmetic optimization algorithm with cosine transform-based two-dimensional composite chaotic mapping

Author(s): Yi-Xuan Li, Jie-Sheng Wang, Xin-Ru Ma

Pages: 1289 - 1329

3) A new approach data processing: density-based spatial clustering of applications with noise (DBSCAN) clustering using game-theory

Author(s): Uranus Kazemi, Seyfollah Soleimani

Pages: 1331 - 1346

4) Predictor–corrector approach for the numerical solution of fuzzy fractional differential equations and linear multiterm fuzzy fractional equations

Author(s): Wadhah Al-Sadi, Zhouchao Wei, Tariq Q. S. Abdullah

Pages: 1347 - 1368

5) Variable selection of multiple types of data: a PLS approach

Author(s): Boao Kong, Huiwen Wang, Shan Lu

Pages: 1369 - 1387

6) Using past sample means in exponential ratio and regression type estimators under a simple random sampling

Author(s): Eda Gizem Koçyiğit

Pages: 1389 - 1406

7) Chatgpt and operations research: evaluation on the shortest path problem

Author(s): Martina Luzzi, Francesca Guerriero, Marco Garofalo

Pages: 1407 - 1418

8) Leveraging variant of CAE with sparse convolutional embedding and two-stage application-driven data augmentation for image clustering

Author(s): Yanming Liu, Jinglei Liu

Pages: 1419 - 1435

9) Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches

Author(s): Mohammad Saidi, Mohammad Gheibi, Kourosh Behzadian

Pages: 1437 - 1451

10) Low-rank decomposition optimization and its application in fabric defects

Author(s): Zhixiang Chen, Wenya Shi, Hao Liu

Pages: 1453 - 1472

11) Revolutionizing signature scheme: the enhanced Edward Elgamal extreme performance accumulate signature approach for IoT and blockchain applications

Author(s): R. Anusha, R. Saravanan

Pages: 1473 - 1496

12) A secure quantum homomorphic encryption ciphertext retrieval scheme

Author(s): Zhen-Wen Cheng, Xiu-Bo Chen, Ya-Lan Wang

Pages: 1497 - 1509

13) Decomposition matheuristics for last mile delivery using public transportation systems

Author(s): Minakshi Punam Mandal, Claudia Archetti

Pages: 1511 - 1539

14) Efficient reconfigurable architecture to extract image features for face recognition using local binary pattern

Author(s): Sumangala Bhavikatti, Satish Bhairannawar

Pages: 1541 - 1552

15) A hybrid genetic search based approach for the generalized vehicle routing problem

Author(s): Vittorio Latorre

Pages: 1553 - 1566

16) A community-based simulated annealing approach with a new structure-based neighborhood search to identify influential nodes in social networks

Author(s): Farzaneh Rajaee Abyaneh, Nasrollah Moghadam Charkari, Mehdy Roayaei

Pages: 1567 - 1585

17) Using deep forest regression and multi-layer state transition algorithm to soft measuring modeling with small sample data

Author(s): Heng Xia, Jian Tang, Wen Yu

Pages: 1587 - 1603

18) Context-aware coverage path planning for a swarm of UAVs using mobile ground stations for battery-swapping

Author(s): Lorenzo Porcelli, Massimo Ficco, Francesco Palmieri

Pages: 1605 - 1625

19) On goal programming approach for interval-valued intuitionistic fuzzy multi-objective transportation problems with an application to tourism industry

Author(s): Abhishek Chauhan, Sumati Mahajan

Pages: 1627 - 1657

20) Paw decompositions of diamond and some edge cycle graphs

Author(s): Murugan Esakkimuthu, Sivaprakash Gunniya Rameshbabu

Pages: 1659 - 1665

21) A micro-level approach for modeling rumor propagation in online social networks

Author(s): Ebrahim Sahafizadeh, Saeed Talatian Azad

Pages: 1667 - 1675

22) k-InfNode: ranking top-k influential nodes in complex networks with random walk

Author(s): Ahmadi Hasan, Ahmad Kamal, Pawan Kumar

Pages: 1677 - 1690

23) Lacunary statistical soft convergence in soft topology

Author(s): Erdal Bayram, Melisa Dervişoğlu

Pages: 1691 - 1701

24) Enhanced TOPSIS-CoCoSo framework for multi-attribute decision-making with triangular fuzzy neutrosophic sets: “effect evaluation of intelligent technology empowering physical education teaching” case

Author(s): Jie Xiao, Yu Zhang

Pages: 1703 - 1717

25) A deep learning approach to analyse stress by using voice and body posture

Author(s): Sumita GuptaSapna GambhirHoang Pham

Pages: 1719 - 1745

26) A feature extraction method for rotating machinery fault diagnosis based on a multiscale entropy fusion strategy and GA-RL-LDA model

Author(s): Na Lu, Zhongliang Li, Peng Wang

Pages: 1747 - 1765

27) An efficient collocation algorithm for third order non-linear Emden–Fowler equation

Author(s): Mohammad Prawesh Alam, Arshad Khan

Pages: 1767 - 1788

28) Forest fire rescue framework to jointly optimize firefighting force configuration and facility layout: a case study of digital-twin simulation optimization

Author(s): HongGuang Zhang Sheng, Wen Ma, YuXuan Tao

Pages: 1789 - 1810

29) A game-theoretic exploration with surplus profit-sharing in a three-channel supply chain, featuring e-commerce dynamics

Author(s): Maryam Vatanara, Masoud Rabbani, Jafar Heydari

Pages: 1811 - 1827

30) Enhancing neural network predictions with finetuned numeric embeddings for stock trend forecasting

Author(s): Avinash Trivedi, S. Sangeetha

Pages: 1829 - 1844

31) Comprehensive multimodal approach for Parkinson’s disease classification using artificial intelligence: insights and model explainability

Author(s): Hossam Magdy Balaha, Asmaa El-Sayed Hassan, Magdy Hassan Balaha

Pages: 1845 - 1877

32) Threats to medical diagnosis systems: analyzing targeted adversarial attacks in deep learning-based COVID-19 diagnosis

Author(s): Sheikh Burhan Ul Haque, Aasim Zafar, Khushnaseeb Roshan

Pages: 1879 - 1896

33) Label-specific multi-label text classification based on dynamic graph convolutional networks

Author(s): Yaoyao Yan, Fang‘ai Liu, Xuqiang Zhuang

Pages: 1897 - 1909

34) Prediction of discharge coefficient of submerged gates using a stacking ensemble model

Author(s): Mohamed Hosny, Fahmy S. Abdelhaleem, Amir Ibrahim

Pages: 1911 - 1929

35) Improving recurrent deterministic policy gradient strategy in autonomous driving

Author(s): Yee-Ming Ooi, Che-Cheng Chang

Pages: 1931 - 1946

Friday, February 28, 2025

Weekly Review 28 February 2025

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

Use of scraped data to train an AI is not "transformative" for the purposes of copyright law: https://techcrunch.com/2025/02/17/what-the-us-first-major-ai-copyright-ruling-might-mean-for-ip-law/
Seems like a consequence of AI constantly learning is that they undergo a decline similar to aging humans: https://www.extremetech.com/computing/ai-models-experience-cognitive-decline-as-they-age-study
AI won't put data analysts out of a job, but it will change the way they do their job: https://www.bigdatawire.com/2025/02/18/ai-making-data-analyst-job-more-strategic-alteryx-says/
The challenges AI pose to sustainability: https://www.informationweek.com/sustainability/how-to-make-ai-projects-greener-without-the-greenwashing
Will Google's AI assistant really help speed up scientific discoveries? https://www.computerworld.com/article/3829135/googles-new-ai-co-scientist-aims-to-speed-up-the-scientific-discovery-process.html
The Humane AI pin is finally, fully, dead: https://www.makeuseof.com/humane-ai-pins-will-stop-working-hp-acquisition/
It's almost like they're trying to give AI the kind of background knowledge and rules we call common sense: https://dataconomy.com/2025/02/20/how-neurosymbolic-ai-merges-logical-reasoning-with-llms/
An overview of AI for managers: https://www.bigdatawire.com/2025/02/20/demystifying-ai-what-every-business-leader-needs-to-know/
An overview of Grok AI: https://www.techrepublic.com/article/what-is-grok-ai/
Just how open is DeepSeek going to make its model? And will it motivate other AI companies to do the same? https://arstechnica.com/ai/2025/02/deepseek-goes-beyond-open-weights-ai-with-plans-for-source-code-release/
Small language model AI can be a better option than large language models for some applications: https://www.informationweek.com/machine-learning-ai/is-a-small-language-model-better-than-an-llm-for-you-
AI code generators are tools, and like other tools developed over the last decades they make coding easier, but also move the programmer further away from the machine: https://www.theregister.com/2025/02/21/opinion_ai_dumber/
Lawyers should not be surprised to learn that using AI to generate your filings is a bad idea: https://arstechnica.com/tech-policy/2025/02/ai-making-up-cases-can-get-lawyers-fired-scandalized-law-firm-warns/
Symbolic AI is old technology, but it's still useful in some situations: https://www.kdnuggets.com/gentle-introduction-symbolic-ai
AI generated code is reducing code quality by reducing the use of refactoring. Of course, the AI generated code will be later used to train other AI: https://devclass.com/2025/02/20/ai-is-eroding-code-quality-states-new-in-depth-report/
Banning a user because they had an AI use a naughty word can be very cruel if it robs them of their voice: https://www.technologyreview.com/2025/02/14/1111900/ai-voice-clone-say-arse-then-banned/
Microsoft's AI game world generator is mostly useful for prototyping: https://arstechnica.com/gaming/2025/02/microsofts-new-interactive-ai-world-model-still-has-a-long-way-to-go/
A cancer patient with a tech industry background is finding that AI is as good at prescribing treatment as a physician: https://www.stuff.co.nz/nz-news/360586604/ai-now-better-doctors-says-kiwi-tech-guru-brain-cancer
Protestors jumping the gun a bit, trying to ban general AI before it exists or before it's clear if it even can exist: https://www.theregister.com/2025/02/19/ai_activists_seek_ban_agi/
The need to measure the ROI on AI projects: https://www.informationweek.com/machine-learning-ai/key-ways-to-measure-ai-project-roi
The current top AI models, and what they are good for: https://techcrunch.com/2025/02/17/the-hottest-ai-models-what-they-do-and-how-to-use-them/
We need better benchmarks for AI: https://techcrunch.com/2025/02/19/this-week-in-ai-maybe-we-should-ignore-ai-benchmarks-for-now/
Is prompt engineering still a thing? We seem to be on a treadmill with how to interact with AI, as soon as people get used to one way, the AI changes: https://www.informationweek.com/it-leadership/ai-upskilling-how-to-train-your-employees-to-be-better-prompt-engineers
Even banks need to worry about AI generated misinformation: https://www.computerworld.com/article/3827116/ai-created-disinformation-could-bring-down-banks.html

Friday, February 21, 2025

Weekly Review 21 February 2025

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

One of the first court cases over copyright infringement in the harvesting of AI training data has ended in a loss for the harvester: https://www.theverge.com/news/610721/thomson-reuters-ross-intelligence-ai-copyright-infringement
AI needs to be democratised to fully realise its benefits: https://www.kdnuggets.com/bridging-gap-democratizing-ai
Short sighted and ignorant national self-interest will only lead to more abuse of AI: https://arstechnica.com/ai/2025/02/us-and-uk-refuse-to-sign-ai-safety-declaration-at-summit/
Distributed training of AI can reduce the need for data centres: https://www.theregister.com/2025/02/11/deepmind_distributed_model_training_research/
Yes, AI chatbots are wrong so often they are now distorting reality: https://www.theverge.com/news/610006/ai-chatbots-distorting-news-bbc-study
The three business processes a company must perform before it implements generative AI: https://www.informationweek.com/machine-learning-ai/genai-implementation-3-boxes-retailers-must-check
UK is rushing through infrastructure to support AI: https://www.theregister.com/2025/02/12/uk_gov_ai_datacenters/
The potential misuse of generative AI to cause real harm cannot be understated: https://www.theguardian.com/technology/2025/feb/13/former-google-ceo-warns-ai-could-be-used-by-rogue-states-to-harm-people
Just because you call it AI doesn't make it so: https://arstechnica.com/gadgets/2025/02/google-chrome-may-soon-use-ai-to-detect-leaked-passwords-and-replace-them/
An AI insurance agent is more humane than human agents: https://www.theregister.com/2025/02/13/allstate_insurance_ai_rep/
Physicians using AI can diagnose patients more accurately: https://www.computerworld.com/article/3823233/ai-chatbots-outperform-doctors-in-diagnosing-patients-study-finds.html
Everyone needs to have some skills with AI for the future job market: https://www.insidehighered.com/opinion/views/2025/02/11/three-things-know-about-ai-and-future-work-opinion
AI can lead to greater access to knowledge. At least if it stops hallucinating: https://www.datasciencecentral.com/will-ai-lead-to-the-disintermediation-of-knowledge/
How AI is being used in hunting technologies: https://dataconomy.com/2025/02/13/precision-in-the-wild-ai-powered-tools-redefining-hunting-practices/
Estimating users' age using AI: https://www.theverge.com/news/610512/google-age-estimation-machine-learning
The quality of non-English AI is so low that companies should be paying less for them: https://www.computerworld.com/article/3822069/will-the-non-english-genai-problem-lead-to-data-transparency-and-lower-costs.html
AI affects mid to high-level jobs the most: https://www.theregister.com/2025/02/11/ai_impact_hits_midtohigh_wage_jobs/
Two points: 1) Don't use AI to write your research papers, they will put some weird stuff in them, and 2) Elsevier continues to suck as a publisher: https://retractionwatch.com/2025/02/10/vegetative-electron-microscopy-fingerprint-paper-mill/
People let AI do the thinking for them too much: https://www.theregister.com/2025/02/11/microsoft_study_ai_critical_thinking/
The ways in which AI can be used for precision agriculture: https://www.datasciencecentral.com/precision-agriculture-powered-by-ai-for-climate-resilient-crops/
So far it appears that the biggest threat to generative AI is not hallucinations but legal action from publishers: https://techcrunch.com/2025/02/13/publishers-sue-ai-startup-cohere-over-alleged-copyright-infringement/
The UK is using AI to spot anomalies at vehicle testing centres: https://www.theregister.com/2025/02/11/ai_tools_mot_testing/
Yes, AI is making us dumb. And in my experience, it is making more work than it is saving: https://techcrunch.com/2025/02/10/is-ai-making-us-dumb/
Neuromorphic chips could reduce the power demands of AI: https://spectrum.ieee.org/neuromorphic-computing-2671121824

Soft Computing. Volume 29, Issue 2, January 2025

1) Using covering approaches to study concept lattices

Author(s): Guilong Liu, Xiuwei Gao

Pages: 425 - 434

2) Convergence Analysis of a Picard–CR Iteration Process for Nonexpansive Mappings

Author(s): Bashir Nawaz, Kifayat Ullah, Krzysztof Gdawiec

Pages: 435 - 455

3) Dynamical behavior and chaos control of the conflicting information propagation on a homogeneous network system

Author(s): Ankur Jain, Joydip Dhar, Vijay K. Gupta

Pages: 457 - 469

4) Ring structure of rough sets

Author(s): Arun Kumar, Bisham Dewan

Pages: 471 - 483

5) Bidirectional online sequence extreme learning machine and switching strategy for soft-sensor model of SMB chromatography separation process

Author(s): Yong-Cheng Sun, Jie-Sheng Wang, Song-Bo Zhang

Pages: 485 - 507

6) Addition-meet fuzzy relational inequality systems, product-join relational inequality systems and their generalizations

Author(s): Esko Turunen

Pages: 509 - 520

7) Unification of methods for new types of fuzzy sets: general approximation spaces with relational morphisms

Author(s): Jiří Močkoř

Pages: 521 - 542

8) On hierarchical clustering-based identification of PWA model with model structure selection and application to automotive actuators for HiL simulation

Author(s): Zhenxing Ren

Pages: 543 - 558

9) Multiscale risk spillover analysis of China’s stock market industry: evidence supported by a novel hybrid model based on signal decomposition technology

Author(s): Zhan Linjie, Tang Zhenpeng

Pages: 559 - 577

10) On the maximization of the likelihood for the generalized gamma distribution: the modified maximum likelihood approach

Author(s): Talha Arslan, Sukru Acitas, Birdal Senoglu

Pages: 579 - 591

11) Robust security risk estimation for android apps using nearest neighbor approach and hamming distance

Author(s): Mahmood Deypir, Toktam Zoughi

Pages: 593 - 611

12) Zoom method for association rules in multi-granularity formal context

Author(s): Lihui Niu, Jusheng Mi, Meizheng Li

Pages: 613 - 627

13) A novel approach of multi-channel attention mechanism for long-sequential multivariate time-series prediction problem

Author(s): Tham Vo, Linh Nguyen Thi My

Pages: 629 - 644

14) Trustworthy deep learning for encrypted traffic classification

Author(s): Zheng Li, Yanbei Liu, Xiaoming Zhu

Pages: 645 - 662

15) STA-CN-BiGRU: a spatial-temporal attention based ChebNet and BiGRU model for traffic flow prediction

Author(s): Feng Hui, fangYang Rui

Pages: 663 - 672

16) Federated learning for Healthcare 5.0: a comprehensive survey, taxonomy, challenges, and solutions

Author(s): Muhammad Sadiq Amin, Shabir Ahmad, Woong-Kee Loh

Pages: 673 - 700

17) Enhancing voltage stability and load shedding optimization through a fusion of gravitational search algorithm and particle swarm optimization with deep learning

Author(s): Masoud Ahmadipour, Zaipatimah Ali, Hussein Mohammed Ridha

Pages: 701 - 721

18) A surrogate archive assisted multi-objective evolutionary algorithm under limited computational budget

Author(s): Le Wang, Qinqin Fan, Xuefeng Yan

Pages: 723 - 753

19) A fault-tolerant scheduling strategy through proactive and clustering techniques for scientific workflows in cloud computing

Author(s): Suha Mubdir Farhood, Reihaneh Khorsand, Mohammadreza Ramezanpour

Pages: 755 - 781

20) Spark workflow task scheduling with deadline and privacy constraints in hybrid cloud networks

Author(s): Kamran Yaseen Rajput, Li Xiaoping, Abdullah Lakhan

Pages: 783 - 801

21) Improved snake optimizer based on forced switching mechanism and variable spiral search for practical applications problems

Author(s): Yanfeng Wang, Bingqing Xin, Junwei Sun

Pages: 803 - 838

22) Period regulated particle swarm optimization algorithm

Author(s): Zhilong Liu, Huhai Jiang

Pages: 839 - 860

23) A new mathematical optimization-based method for the m-invariance problem

Author(s): Adrián Tobar Nicolau, Jordi Castro, Claudio Gentile

Pages: 861 - 873

24) Knowledge-based optimization in epidemics prevention

Author(s): Krzysztof Michalak

Pages: 875 - 893

25) Enhancing teaching learning based optimization algorithm through group discussion strategy for CEC 2017 benchmark problems

Author(s): Muhammad Sagheer, Muhammad Asif Jan, Meshal Shutaywi

Pages: 895 - 932

26) A Fuzzy-Bayesian belief network approach to compute efficiency as a metric for IoT systems

Author(s): Rishabh Deo Pandey, Itu Snigdh

Pages: 933 - 944

27) Inverse fuzzy graph colouring and its application

Author(s): Kadeeja Mole Koyalinte Purakkal, Sameena Kalathodi

Pages: 945 - 956

28) Nonlinear complex dynamic system identification based on a novel recurrent neural network

Author(s): Kartik Saini, Narendra Kumar, Rajesh Kumar

Pages: 957 - 976

29) Modeling of the blockchain-empowered cloud 4D printing services collaboration digital twin platform oriented on supply–demand

Author(s): Jiajia Liu, Edi Syams Zainudin, Chenglei Zhang

Pages: 977 - 1004

30) Enhancing the combined compromise solution method for group decision-making under intuitionistic fuzziness: an application to blended English teaching quality evaluation in vocational colleges

Author(s): Bin Xie, Hongmiao Yuan

Pages: 1005 - 1017

31) A semantic approach for cultural heritage ontology matching and integration based on textual and multimedia information

Author(s): Antonio Maria Rinaldi, Cristiano Russo, Cristian Tommasino

Pages: 1019 - 1034

32) Global vision, local focus: the semantic enhancement transformer network for crowd counting

Author(s): Mingtao Wang, Xin Zhou, Yuanyuan Chen

Pages: 1035 - 1052

33) Nonlinear convergence factor-based manta ray foraging optimization algorithm for combined economic emission dispatch problem

Author(s): Xing-Yue Zhang, Jie-Sheng Wang, Wen-Kuo Hao

Pages: 1053 - 1089

34) A novel cluster based reliable security enhancement in FANET directed by game theory

Author(s): Shikha Gupta, Neetu Sharma

Pages: 1091 - 1106

35) A distance based similarity measure on trapezoidal intuitionistic fuzzy numbers and its applications

Author(s): P. Dhanasekaran, S. Kalidasan

Pages: 1107 - 1119

36) Fast resistivity imaging of transient electromagnetic using an extreme learning machine

Author(s): Ruiyou Li, Yong Zhang, Min Li

Pages: 1121 - 1131

37) A GA-FGM-RTA combined model for predicting seawall settlement in under insufficient data volume

Author(s): Peng Qin, Chunmei Cheng, Huaizhi Su

Pages: 1133 - 1146

38) Mechanical properties estimation of multi-layer friction stir plug welded aluminium plates using time-series neural network models

Author(s): Mohammad Reza Chalak Qazani, Moosa Sajed, Seyed Mohammad Hossein Seyedkashi

Pages: 1147 - 1168

39) A genetic-based approach for vehicle routing problem with fuzzy alpha-cut constraints

Author(s): He-Yau Kang, Amy H. I. Lee

Pages: 1169 - 1189

40) Boosting cervical cancer detection with a multi-stage architecture and complementary information fusion

Author(s): Pranab Sahoo, Sriparna Saha, Samrat Mondal

Pages: 1191 - 1206

41) Channel pruning method driven by similarity of feature extraction capability

Author(s): Chuanmeng Sun, Jiaxin Chen, Tiehua Ma

Pages: 1207 - 1226

42) Solving trajectory tracking of robot manipulators via PID control with neural network compensation

Author(s): Marco Moran-Armenta, Carlos Aguilar-Avelar, Javier Moreno-Valenzuela

Pages: 1227 - 1241

43) Enhancing demand forecasting through combination of anomaly detection and continuous improvement

Author(s): Meysam Jahani, Zahra Zojaji, Fatemeh Raji

Pages: 1243 - 1258

44) Free-text keystroke authentication using transformers: a comparative study of architectures and loss functions

Author(s): Saleh Momeni, Bagher BabaAli

Pages: 1259 - 1272

Computational Intelligence

Tuesday, March 18, 2025

IEEE Transactions on Neural Networks and Learning Systems, Volume 36, Issue 3, March 2025

Monday, March 17, 2025

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 3, March 2025

Friday, March 14, 2025

Weekly Review 14 March 2025

Complex & Intelligent Systems, Volume 11, Issue 3, March 2025

Monday, March 10, 2025

IEEE Transactions on Artificial Intelligence, Volume 6, Issue 2, February 2025

Friday, March 7, 2025

Weekly Review 7 March 2025

Tuesday, March 4, 2025

IEEE Transactions on Fuzzy Systems, Volume 33, Issue 3, March 2025

Monday, March 3, 2025

Soft Computing. Volume 29, Issue 3, February 2025

Friday, February 28, 2025

Weekly Review 28 February 2025

Friday, February 21, 2025

Weekly Review 21 February 2025

Soft Computing. Volume 29, Issue 2, January 2025

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