Computational Intelligence

Artificial intelligence (AI) offers promising solutions to critical environmental challenges, including climate change modelling, energy efficiency improvement, landscape erosion prediction, invasive species management, and endangered species conservation. In this context, computer vision techniques, particularly Convolutional Neural Networks (CNNs), play a pivotal role. These deep learning models enable us to extract meaningful information from geospatial data, satellite imagery, and environmental sensor networks. Geospatial data, often integrated with computer vision, provides insights for informed decision-making.

This special session is intended to attract papers dealing with the intersection between artificial intelligence and environmental issues.

Topics of interest include, but are not limited to:

Methods in the modelling of climate change and its effects
Predictive modelling of climate change impacts
Analyzing satellite imagery, LiDAR data, and other remote sensing sources
Habitat modeling and ecological niche analysis.
AI-driven species identification and tracking.
Conservation planning using machine learning algorithms
AI-driven approaches for biodiversity assessment
Remote sensing and geospatial analytics for environmental preservation
Precision farming techniques in crop yield prediction
Soil health assessment through AI techniques
Water resource management using machine learning
Geospatial data fusion for disaster management
Land cover classification, environmental monitoring

A special session of ICONIP 2024, to be held in Auckland, New Zealand 2-6 December, 2024.

Important Links

Main conference site: https://iconip2024.org/

Important Dates

Paper Submission Deadline: 7 June 2024

Notification of Acceptance: 26 July 2024

Camera Ready Submission: 30 August 2024

Registration Deadline: 30 August 2024

Conference Dates: 2-6 December 2024

Organisers

Akbar Ghobakhlou, AUT University

Jacqui Whalley, AUT University

Mike Watts Media Design School

Asli Tece Bayrak, Media Design School

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 4, April 2024

1) Guest Editorial: New Developments in Explainable and Interpretable Artificial Intelligence

Author(s): K. P. Suba Subbalakshmi, Wojciech Samek, Xia Ben Hu

Pages: 1427 - 1428

2) A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?

Author(s): Subrato Bharati, M. Rubaiyat Hossain Mondal, Prajoy Podder

Pages: 1429 - 1442

3) Explain the Explainer: Interpreting Model-Agnostic Counterfactual Explanations of a Deep Reinforcement Learning Agent

Author(s): Ziheng Chen, Fabrizio Silvestri, Gabriele Tolomei, Jia Wang, He Zhu, Hongshik Ahn

Pages: 1443 - 1457

4) Why Should I Trust Your Explanation? An Evaluation Approach for XAI Methods Applied to Predictive Process Monitoring Results

Author(s): Ghada Elkhawaga, Omar M. Elzeki, Mervat Abu-Elkheir, Manfred Reichert

Pages: 1458 - 1472

5) An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring

Author(s): Nandita Bhaskhar, Daniel L. Rubin, Christopher Lee-Messer

Pages: 1473 - 1485

6) Prototype-Based Interpretable Graph Neural Networks

Author(s): Alessio Ragno, Biagio La Rosa, Roberto Capobianco

Pages: 1486 - 1495

7) Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations

Author(s): Alexandros Doumanoglou, Stylianos Asteriadis, Dimitrios Zarpalas

Pages: 1496 - 1510

8) Interpreting Tangled Program Graphs Under Partially Observable Dota 2 Invoker Tasks

Author(s): Robert J. Smith, Malcolm I. Heywood

Pages: 1511 - 1524

9) Contrastive-Enhanced Domain Generalization With Federated Learning

Author(s): Xinhui Yu, Dan Wang, Martin J. McKeown, Z. Jane Wang

Pages: 1525 - 1532

10) A Survey of Security Protection Methods for Deep Learning Model

Author(s): Haipeng Peng, Shuang Bao, Lixiang Li

Pages: 1533 - 1553

11) Self-Supervised Graph Information Bottleneck for Multiview Molecular Embedding Learning

Author(s): Changsheng Li, Kaihang Mao, Shiye Wang, Ye Yuan, Guoren Wang

Pages: 1554 - 1562

12) Generalized Maximum Entropy Reinforcement Learning via Reward Shaping

Author(s): Feng Tao, Mingkang Wu, Yongcan Cao

Pages: 1563 - 1572

13) Low-Quality Deepfake Detection via Unseen Artifacts

Author(s): Saheb Chhabra, Kartik Thakral, Surbhi Mittal, Mayank Vatsa, Richa Singh

Pages: 1573 - 1585

14) Temporal Refinement Graph Convolutional Network for Skeleton-Based Action Recognition

Author(s): Tianming Zhuang, Zhen Qin, Yi Ding, Fuhu Deng, Leduo Chen, Zhiguang Qin, Kim-Kwang Raymond Choo

Pages: 1586 - 1598

15) Modified ResNet-152 Network With Hybrid Pyramidal Pooling for Local Change Detection

Author(s): Manoj Kumar Panda, Badri Narayan Subudhi, Thangaraj Veerakumar, Vinit Jakhetiya

Pages: 1599 - 1612

16) Self-Supervised Representation Learning for Knee Injury Diagnosis From Magnetic Resonance Data

Author(s): Siladittya Manna, Saumik Bhattacharya, Umapada Pal

Pages: 1613 - 1623

17) Adaptive Intelligent Control-Based Consensus Tracking for a Class of Switched Nonstrict Feedback Nonlinear Multiagent Systems With Unmodeled Dynamics

Author(s): Ben Niu, Xinyu Liu, Zhihua Guo, Hao Jiang, Huanqing Wang

Pages: 1624 - 1634

18) Minimizing Parameter Overhead in Self-Supervised Models for Target Task

Author(s): Jaydeep Kishore, Snehasis Mukherjee

Pages: 1635 - 1646

19) A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs

Author(s): Chunya Zou, Andi Han, Lequan Lin, Ming Li, Junbin Gao

Pages: 1647 - 1657

20) Decomposing Visual and Semantic Correlations for Both Fully Supervised and Few-Shot Image Classification

Author(s): Chunjie Zhang, Xiaolong Zheng

Pages: 1658 - 1668

21) Generating Long Financial Report Using Conditional Variational Autoencoders With Knowledge Distillation

Author(s): Ziao Wang, Yunpeng Ren, Xiaofeng Zhang, Yiyuan Wang

Pages: 1669 - 1680

22) Empirical Analysis of Squeeze and Excitation-Based Densely Connected CNN for Chili Leaf Disease Identification

Author(s): Naresh V., Yogeswararao G., Nageswararao Naik B., Malmathanraj R., Palanisamy P.

Pages: 1681 - 1692

23) Dilation-Supervised Learning: A Novel Strategy for Scale Difference in Retinal Vessel Segmentation

Author(s): Huadeng Wang, Wenbin Zuo, Bingbing Li, Xipeng Pan, Zhenbing Liu, Rushi Lan, Xiaonan Luo

Pages: 1693 - 1707

24) A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design

Author(s): Mahdi Morafah, Weijia Wang, Bill Lin

Pages: 1708 - 1717

25) ImageNet Classification Using WordNet Hierarchy

Author(s): Ankita Chatterjee, Jayanta Mukherjee, Partha Pratim Das

Pages: 1718 - 1727

26) Bagging and Boosting Fine-Tuning for Ensemble Learning

Author(s): Changming Zhao, Ruimin Peng, Dongrui Wu

Pages: 1728 - 1742

27) Antenna Parameter Measurement Network With Dual Attention and Focus Loss Using UAV

Author(s): Ying Xu, Qirui Ke, Ziyi Jiang, Yikui Zhai, Angelo Genovese, Vincenzo Piuri, Fabio Scotti

Pages: 1743 - 1754

28) A Visual and Textual Information Fusion-Based Zero-Shot Framework for Hazardous Material Placard Detection and Recognition

Author(s): Ran Zhang, Zhila Bahrami, Ke Feng, Zheng Liu

Pages: 1755 - 1768

29) Fast K-Medoids With the l1-Norm

Author(s): Marco Capó, Aritz Pérez, Jose A. Lozano

Pages: 1769 - 1777

30) Prescribed-Time Adaptive Intelligent Formation Controller for Nonlinear Multiagent Systems Based on Time-Domain Mapping

Author(s): Yongming Li, Xingyan Zheng, Kewen Li

Pages: 1778 - 1790

31) Facilitating Sim-to-Real by Intrinsic Stochasticity of Real-Time Simulation in Reinforcement Learning for Robot Manipulation

Author(s): Amir M. Soufi Enayati, Ram Dershan, Zengjie Zhang, Dean Richert, Homayoun Najjaran

Pages: 1791 - 1804

32) Social Self-Attention Generative Adversarial Networks for Human Trajectory Prediction

Author(s): Changzhi Yang, Huihui Pan, Weichao Sun, Huijun Gao

Pages: 1805 - 1815

33) A Fine-Grained Detector of Face Mask Wearing Status Based on Improved YOLOX

Author(s): Hongli Xiao, Bingshu Wang, Jiangbin Zheng, Licheng Liu, C. L. Philip Chen

Pages: 1816 - 1830

34) Domain-Centroid-Guided Progressive Teacher-Based Knowledge Distillation for Source-Free Domain Adaptation of Histopathological Images

Author(s): Kuo-Sheng Cheng, Qiong-Wen Zhang, Hung-Wen Tsai, Nien-Tsu Li, Pau-Choo Chung

Pages: 1831 - 1843

35) Adaptation: Blessing or Curse for Higher Way Meta-Learning

Author(s): Aroof Aimen, Sahil Sidheekh, Bharat Ladrecha, Hansin Ahuja, Narayanan C Krishnan

Pages: 1844 - 1856

36) Discriminative Deep Generalized Dependency Analysis for Multi-View Data

Author(s): Debamita Kumar, Pradipta Maji

Pages: 1857 - 1868

37) An End-To-End Neuromorphic Radio Classification System With an Efficient Sigma-Delta-Based Spike Encoding Scheme

Author(s): Wenzhe Guo, Kuilian Yang, Haralampos-G. Stratigopoulos, Hassan Aboushady, Khaled Nabil Salama

Pages: 1869 - 1881

38) Reinforcement Learning for Selecting Custom Instructions Under Area Constraint

Author(s): Shanshan Wang, Chenglong Xiao

Pages: 1882 - 1894

39) Robust and Verifiable Privacy Federated Learning

Author(s): Zhi Lu, Songfeng Lu, Xueming Tang, Junjun Wu

Pages: 1895 - 1908

Monday, May 6, 2024

Call for Papers: Special Session on AI Education, ICONIP 2024

AI Education

There has been an explosion in the applications of Artificial Intelligence (AI). While Large Language Models such as ChatGPT have garnered much of the attention, other AI technologies have also found wide application, such as the predictive keyboards on mobile devices, and facial recognition systems in supermarkets. Some technology venture capitalists have reported that 80% of the funding pitches they receive involve AI. Many business owners believe that AI is going to put them out of business, unless they adapt to the technology. Others are desperately searching for ways to get onto the AI bandwagon. This surge in interest in AI has led to a worldwide shortage of AI engineers. Furthermore, the inappropriate application of AI, whether through the use of biased data or unethical applications, has also led to social and economic fallout.

The increased public awareness of AI technologies has also led to a proliferation of media commentary, of varying degrees of competence, and governmental regulation. Some students have taken to using AI tools to assist in their assignments, while others have changed their career pathways due to a perception that AI is going to destroy their future job prospects.

There is, therefore, a need for education about AI. This need spans nearly all levels of education, from primary school through to postgraduates. At primary and secondary level so that people enter the working world with the basic knowledge of AI and how it affects their lives. At tertiary undergraduate and postgraduate level so that we have a steady supply of engineers and developers who can utilise AI in an appropriate and ethical manner.

This all raises a fundamental question: How is this education being done?

This special session is intended to attract papers dealing with all aspects of AI education. Topics of interest include, but are not limited to:

Incorporating AI into teaching curricula at all levels of education
The design and implementation of AI-specialist teaching curricula
Technologies used to teach AI
Teaching the ethics of AI
Policy making around AI education
The teaching of specialist topics within AI
Work-integrated learning and project-based teaching in AI

A special session of ICONIP 2024, to be held in Auckland, New Zealand 2-6 December, 2024.

Important Dates

Paper Submission Deadline: 7 June 2024

Notification of Acceptance: 26 July 2024

Camera Ready Submission: 30 August 2024

Registration Deadline: 30 August 2024

Conference Dates: 2-6 December 2024

Important Links

Main conference site: https://iconip2024.org/

Organisers

Mike Watts is a Senior Lecturer in Artificial Intelligence, and Programme Coordinator of the Bachelor of Information Technology at Media Design School, Auckland, New Zealand. He was previously a research fellow in the School of Earth and Environmental Sciences at the University of Adelaide, Australia. Before that, he was a post-doctoral fellow in the School of Biological Sciences at the University of Sydney and at the National Centre for Advanced Bio-Protection Technologies at Lincoln University, New Zealand. Mike completed his PhD in artificial intelligence at the University of Otago, New Zealand, in 2004 and has published more than 80 peer-reviewed publications in the field of AI and ecological modeling.

Akbar Ghobakhlou is Data Science and Machine Learning lecturer within the School of Engineering, Computer & Mathematical Sciences at Auckland University of Technology. His research centres on practical uses of intelligent technologies like monitoring, visualization, and predictive models. His interests cover data mining, machine learning, image processing, smart sensors in precision agriculture, and environmental monitoring. Akbar is an active member of the IEEE community, specifically within the Instrumentation and Measurement Society (IMS). He organised and chaired the annual IMS two-day workshop in 2023. Akbar completed his PhD in artificial intelligence at the University of Otago, New Zealand has numerous peer-reviewed publications in the field of AI and IoT applications.

Ranpreet Kaur is a Lecturer in the Department of Bachelor of Software Engineering and Artificial Intelligence at Media Design School. She was previously a research and teaching assistant in the School of Engineering, Computational, and Mathematical Sciences at Auckland University of Technology. She has 15 years of academic career primarily focused on teaching and research. She has completed her PhD in Computer Science and Artificial Intelligence from Auckland University of Technology. She has published more than 20 high-quality research papers such as into Q1 and Q2 journals, international conferences, book chapters, and symposiums. She has been currently involved in various research projects.

IEEE Transactions on Evolutionary Computation, Volume 28, Issue 2, April 2024

1) The Physical Cell Identity Assignment Problem: A Practical Optimization Approach

Author(s): Carlos E. Andrade, Luciana S. Pessoa, Slawomir Stawiarski

Pages: 282 - 292

2) Offline Data-Driven Multiobjective Optimization Evolutionary Algorithm Based on Generative Adversarial Network

Author(s): Yu Zhang, Wang Hu, Wen Yao, Lixian Lian, Gary G. Yen

Pages: 293 - 306

3) Genetic Programming-Based Evolutionary Deep Learning for Data-Efficient Image Classification

Author(s): Ying Bi, Bing Xue, Mengjie Zhang

Pages: 307 - 322

4) Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment

Author(s): Zhichao Lu, Ran Cheng, Yaochu Jin, Kay Chen Tan, Kalyanmoy Deb

Pages: 323 - 337

5) Evolutionary Multitasking for Costly Task Offloading in Mobile-Edge Computing Networks

Author(s): Chen Yang, Qunjian Chen, Zexuan Zhu, Zhi-An Huang, Shulin Lan, Liehuang Zhu

Pages: 338 - 352

6) A Survey on Unbalanced Classification: How Can Evolutionary Computation Help?

Author(s): Wenbin Pei, Bing Xue, Mengjie Zhang, Lin Shang, Xin Yao, Qiang Zhang

Pages: 353 - 373

7) Nonzero Degree-Based Multiobjective Cooperative Coevolutionary for Block Sparse Recovery

Author(s): Yiting Liu, Hao Li, Maoguo Gong, A. K. Qin

Pages: 374 - 387

8) Ensemble of Domain Adaptation-Based Knowledge Transfer for Evolutionary Multitasking

Author(s): Wu Lin, Qiuzhen Lin, Liang Feng, Kay Chen Tan

Pages: 388 - 402

9) Subset Selection for Evolutionary Multiobjective Optimization

Author(s): Yu-Ran Gu, Chao Bian, Miqing Li, Chao Qian

Pages: 403 - 417

10) A Quantum Evolutionary Learning Tracker for Video

Author(s): Ruohan Zhang, Licheng Jiao, Lingling Li, Xu Liu, Fang Liu, Shuyuan Yang

Pages: 418 - 431

11) Hypervolume-Guided Decomposition for Parallel Expensive Multiobjective Optimization

Author(s): Liang Zhao, Qingfu Zhang

Pages: 432 - 444

12) A Training-Free Neural Architecture Search Algorithm Based on Search Economics

Author(s): Meng-Ting Wu, Hung-I Lin, Chun-Wei Tsai

Pages: 445 - 459

13) Improved Evolutionary Operators for Sparse Large-Scale Multiobjective Optimization Problems

Author(s): Ian Kropp, A. Pouyan Nejadhashemi, Kalyanmoy Deb

Pages: 460 - 473

14) Routing and Scheduling in Multigraphs With Time Constraints—A Memetic Approach for Airport Ground Movement

Author(s): Lilla Beke, Lourdes Uribe, Adriana Lara, Carlos Artemio Coello Coello, Michal Weiszer, Edmund K. Burke, Jun Chen

Pages: 474 - 488

15) Tailoring Evolutionary Algorithms to Solve the Multiobjective Location-Routing Problem for Biomass Waste Collection

Author(s): Yuanrui Li, Qiuhong Zhao, Shengxiang Yang, Yinan Guo

Pages: 489 - 500

16) Convergence Rate of the (1+1)-ES on Locally Strongly Convex and Lipschitz Smooth Functions

Author(s): Daiki Morinaga, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto

Pages: 501 - 515

17) Evolutionary Multimodal Multiobjective Optimization for Traveling Salesman Problems

Author(s): Yiping Liu, Liting Xu, Yuyan Han, Xiangxiang Zeng, Gary G. Yen, Hisao Ishibuchi

Pages: 516 - 530

18) A Multiagent Cooperative Learning System With Evolution of Social Roles

Author(s): Yaqing Hou, Mingyang Sun, Yifeng Zeng, Yew-Soon Ong, Yaochu Jin, Hongwei Ge, Qiang Zhang

Pages: 531 - 543

19) Detecting Hidden and Irrelevant Objectives in Interactive Multiobjective Optimization

Author(s): Seyed Mahdi Shavarani, Manuel López-Ibáñez, Richard Allmendinger

Pages: 544 - 557

20) On Cooperative Coevolution and Global Crossover

Author(s): Larry Bull, Haixia Liu

Pages: 558 - 561

Friday, May 3, 2024

Weekly Review 3 May 2024

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

A front-end to generate prompts for generative AI to test business ideas: https://www.cnbc.com/2023/10/16/how-inexpensive-ai-side-hustle-dimeadozen-sold-for-thousands.html I don't think this business is going to last very long before changes in the AI render it moot.
Any system that relies on human verification of decisions from an AI is going the have issues, because AI are easily biased and people are lazy: https://www.rnz.co.nz/news/on-the-inside/514948/supermarket-facial-recognition-failure-why-automated-systems-must-put-the-human-factor-first
It's going to take a while before large-scale AI is profitable. It's a new technology and there will be failures before it finds its feet: https://www.theregister.com/2024/04/25/facebooks_value_plummets_as_zuckerberg/
Some developments in AI: https://www.technologyreview.com/2024/04/23/1091649/three-things-we-learned-about-ai-from-emtech-digital-london/
Generative AI for personalised nutrition planning: https://news.cornell.edu/stories/2024/04/empire-ai-dawns-cornell-lays-groundwork-public-good
Translators and illustrators have seen their livelihoods impacted by AI: https://80.lv/articles/a-third-of-translators-a-quarter-of-illustrators-have-lost-their-jobs-to-ai/
A ban on AI powered weapons is never going to work: https://www.nature.com/articles/d41586-024-01029-0
Udio, an AI music generator: https://www.freethink.com/robots-ai/ai-music-generator-udio
I don't think anyone should trust Meta's AI, let alone minorities like Maori: https://www.teaonews.co.nz/2024/04/23/should-maori-trust-meta-ai/
Vegan blue cheese designed by AI: https://www.technologyreview.com/2024/04/24/1091118/climax-foods-vegan-blue-cheese-ai-dairy-free-machine-learning/ Also, not that keen on anything described as "creamy" from a company named "Climax"...
SkyNet is pleased-an AI controlled fighter out-fought human pilots: https://www.freethink.com/robots-ai/ai-fighter-pilot
A man is arrested after using AI to fake a recording of his boss making racist remarks: https://www.theregister.com/2024/04/25/ai_voice_arrest/
Ways that AI can cut costs in education: https://www.insidehighered.com/opinion/views/2024/04/23/ai-finally-way-reduce-higher-ed-costs-opinion
Just like with the internet more than 25 years ago, companies are cramming AI into places they don't belong: https://arstechnica.com/gadgets/2024/04/ai-marketing-hype-is-coming-for-your-favorite-gadgets/
Ways in which AI can actually help software developers: https://www.informationweek.com/software-services/how-developers-of-all-skill-levels-can-best-leverage-ai
A tool that tells you how made up a response from a large language model AI is: https://www.technologyreview.com/2024/04/25/1091835/chatbot-hallucination-new-tool-trustworthy-language-model/
How AI is affecting corporate finance operations: https://dataconomy.com/2024/04/22/navigating-the-future-ais-role-in-corporate-finance-transformation/
A description of Llama 3, Meta's latest open large language model: https://spectrum.ieee.org/meta-llama-3
I wish more universities would put more effort into the wellbeing of their staff, some of them are still pretty toxic places to work: https://www.stuff.co.nz/business/350256199/are-you-building-high-performing-workplace-culture
Practical ways to generate content using generative AI: https://www.kdnuggets.com/integrating-generative-ai-in-content-creation
While the hype around AI can lead some to conclude it is useless, it really is useful for solving real problems (just don't rely on a large language model for everything): https://www.theregister.com/2024/04/25/ai_usefulness/
ChatGPT can be used to exploit security vulnerabilities: https://www.techrepublic.com/article/openai-gpt4-exploit-vulnerabilities/
More rivalry between the US and China, this time over AI: https://www.computerworld.com/article/2094131/microsoft-uses-its-genai-leverage-against-china-prelude-to-a-tech-cold-war.html
How to run Llama 3 locally: https://dataconomy.com/2024/04/24/how-to-run-llama-3-locally-with-ollama/

IEEE Transactions on Cognitive and Developmental Systems, Volume 16, Issue 2, April 2024

1) Guest Editorial Special Issue on Movement Sciences in Cognitive Systems

Author(s): Junpei Zhong, Ran Dong, Soichiro Ikuno, Yanan Li, Chenguang Yang

Pages: 403 - 406

2) A Bioinspired Multifunctional Tendon-Driven Tactile Sensor and Application in Obstacle Avoidance Using Reinforcement Learning

Author(s): Zhenyu Lu, Zhou Zhao, Tianqi Yue, Xu Zhu, Ning Wang

Pages: 407 - 415

3) Learning to Assist Bimanual Teleoperation Using Interval Type-2 Polynomial Fuzzy Inference

Author(s): Ziwei Wang, Haolin Fei, Yanpei Huang, Quentin Rouxel, Bo Xiao, Zhibin Li, Etienne Burdet

Pages: 416 - 425

4) Passive Model-Predictive Impedance Control for Safe Physical Human–Robot Interaction

Author(s): Ran Cao, Long Cheng, Houcheng Li

Pages: 426 - 435

5) Path Learning by Demonstration for Iterative Human–Robot Interaction With Uncertain Time Durations

Author(s): Deqing Huang, Jingkang Xia, Chenjian Song, Xueyan Xing, Yanan Li

Pages: 436 - 447

6) BaSICNet: Lightweight 3-D Hand Pose Estimation Network Based on Biomechanical Structure Information for Dexterous Manipulator Teleoperation

Author(s): Wenrao Pang, Qing Gao, Yinan Zhao, Zhaojie Ju, Junjie Hu

Pages: 448 - 457

7) GCEN: Multiagent Deep Reinforcement Learning With Grouped Cognitive Feature Representation

Author(s): Hao Gao, Xin Xu, Chao Yan, Yixing Lan, Kangxing Yao

Pages: 458 - 473

8) The Effect of Expressive Robot Behavior on Users’ Mental Effort: A Pupillometry Study

Author(s): Marieke van Otterdijk, Bruno Laeng, Diana Saplacan Lindblom, Jim Torresen

Pages: 474 - 484

9) Modeling Motor Control in Continuous Time Active Inference: A Survey

Author(s): Matteo Priorelli, Federico Maggiore, Antonella Maselli, Francesco Donnarumma, Domenico Maisto, Francesco Mannella, Ivilin Peev Stoianov, Giovanni Pezzulo

Pages: 485 - 500

10) A Unified Search Framework for Data Augmentation and Neural Architecture on Small-Scale Image Data Sets

Author(s): Jianwei Zhang, Lei Zhang, Dong Li, Lituan Wang

Pages: 501 - 510

11) Intersection-Over-Union Similarity-Based Nonmaximum Suppression for Human Pose Estimation in Crowded Scenes

Author(s): Longsheng Wei, Hao Huang, Xuefu Yu

Pages: 511 - 520

12) Shallow Inception Domain Adaptation Network for EEG-Based Motor Imagery Classification

Author(s): Xiuyu Huang, Kup-Sze Choi, Nan Zhou, Yuanpeng Zhang, Badong Chen, Witold Pedrycz

Pages: 521 - 533

13) Social-Psychology-Inspired Reinforcement Learning Framework for Conflict Management in Connected Vehicles

Author(s): Heena Rathore, Yash Kumar Singhal, George Kodimattam Joseph

Pages: 534 - 543

14) A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks

Author(s): Hongze Sun, Wuque Cai, Baoxin Yang, Yan Cui, Yang Xia, Dezhong Yao, Daqing Guo

Pages: 544 - 558

15) Continual Learning for Anthropomorphic Hand Grasping

Author(s): Wanyi Li, Wei Wei, Peng Wang

Pages: 559 - 569

16) A Hierarchical Utilization of Semantic Gradients and Scene Structure for Visual Place Recognition

Author(s): Yaoqi Bao, Yun Pan, Zhe Yang, Ruohong Huan

Pages: 570 - 583

17) Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations

Author(s): Lin Zhao, Haixing Dai, Zihao Wu, Zhenxiang Xiao, Lu Zhang, David Weizhong Liu, Xintao Hu, Xi Jiang, Sheng Li, Dajiang Zhu, Tianming Liu

Pages: 584 - 594

18) Graph-Theory-Based EEG Source Connectivity for Assessing Biomechanical Performance in Transfemoral Amputees With Vibrotactile Feedback

Author(s): Saurabh Kumar, Aayushi Khajuria, Deepak Joshi

Pages: 595 - 605

19) Neuro-Inspired Motion Control of a Soft Myriapod Robot

Author(s): Qinyuan Ren, Wenxin Zhu, Jiawei Cao, Wenyu Liang

Pages: 606 - 617

20) Diagnosis of Early Mild Cognitive Impairment Based on Associated High-Order Functional Connection Network Generated by Multimodal MRI

Author(s): Weiping Wang, Shunqi Zhang, Zhen Wang, Xiong Luo, Ping Luan, Alexander Hramov, Jürgen Kurths, Chang He, Jianwu Li

Pages: 618 - 627

21) Does the Brain Infer Invariance Transformations From Graph Symmetries?

Author(s): Helmut Linde

Pages: 628 - 639

22) A Decentralized Communication Framework Based on Dual-Level Recurrence for Multiagent Reinforcement Learning

Author(s): Xuesi Li, Jingchen Li, Haobin Shi, Kao-Shing Hwang

Pages: 640 - 649

23) Graph-Theory-Based Multilevel Cortical Functional Connectivity Developmental Analysis

Author(s): Keyan Pan, Tiejia Jiang, Runze Zheng, Tianlei Wang, Feng Gao, Jiuwen Cao

Pages: 650 - 659

24) A Contour Detection Method Based on the Projective Coding Model of the Visual Cortex Information Flow

Author(s): Zhefei Cai, Rui Yang, Yingle Fan, Wei Wu

Pages: 660 - 670

25) UAC: Offline Reinforcement Learning With Uncertain Action Constraint

Author(s): Jiayi Guan, Shangding Gu, Zhijun Li, Jing Hou, Yiqin Yang, Guang CHen, Changjun Jiang

Pages: 671 - 680

26) Supervised Meta-Reinforcement Learning With Trajectory Optimization for Manipulation Tasks

Author(s): Lei Wang, Yunzhou Zhang, Delong Zhu, Sonya Coleman, Dermot Kerr

Pages: 681 - 691

27) TL-P3GAN: An Efficient Temporal-Learning-Based Generative Adversarial Network for Precise P300 Signal Generation for P300 Spellers

Author(s): Vibha Bhandari, Narendra D. Londhe, Ghanahshyam B. Kshirsagar

Pages: 692 - 705

28) Using Humanoid Robots to Obtain High-Quality Motor Imagery Electroencephalogram Data for Better Brain–Computer Interaction

Author(s): Shiwei Cheng, Jialing Wang, Jieming Tian, Anjie Zhu, Jing Fan

Pages: 706 - 719

29) Two-Stage Grasp Detection Method for Robotics Using Point Clouds and Deep Hierarchical Feature Learning Network

Author(s): Xiaofeng Liu, Congyu Huang, Jie Li, Weiwei Wan, Chenguang Yang

Pages: 720 - 731

30) A Hybrid End-to-End Spatiotemporal Attention Neural Network With Graph-Smooth Signals for EEG Emotion Recognition

Author(s): Shadi Sartipi, Mastaneh Torkamani-Azar, Mujdat Cetin

Pages: 732 - 743

31) Motion Learning for Musculoskeletal Robots Based on Cortex-Inspired Motor Primitives and Modulation

Author(s): Xiaona Wang, Jiahao Chen, Wei Wu

Pages: 744 - 756

32) JLCSR: Joint Learning of Compactness and Separability Representations for Few-Shot Classification

Author(s): Sai Yang, Fan Liu, Shaoqiu Zheng, Ying Tan

Pages: 757 - 771

33) Joint Linguistic Steganography With BERT Masked Language Model and Graph Attention Network

Author(s): Changhao Ding, Zhangjie Fu, Qi Yu, Fan Wang, Xianyi Chen

Pages: 772 - 781

34) Electroencephalography Connectivity Assesses Cognitive Disorders of Autistic Children During Game-Based Social Interaction

Author(s): Yi-Li Tseng, Hong-Hsiang Liu, Yen-Nan Chiu, Chia-Hsin Lee, Wen-Che Tsai, Yang-Min Lin, Yi-Ling Chien

Pages: 782 - 793/

35) Bioinspired Memristive Neural Network Circuit Design of Cross-Modal Associative Memory

Author(s): Jinying Liu, Feier Xiong, Yue Zhou, Shukai Duan, Xiaofang Hu

Pages: 794 - 808

Wednesday, May 1, 2024

IEEE Transactions on Fuzzy Systems, Volume 32, Issue 4, April 2024

1) Soft Multiprototype Clustering Algorithm via Two-Layer Semi-NMF

Author(s): Shan Zeng, Xiangjun Duan, Jun Bai, Wei Tao, Kun Hu, Yuanyan Tang

Pages: 1615 - 1629

2) Fuzzy Event-Triggered Control for Grid-Connected PMSM Model With Stochastic Disturbances

Author(s): Girija Panneerselvam, Ahmed Rahmani, Prakash Mani

Pages: 1630 - 1640

3) Factorization of Matrices With Grades With Overcovering

Author(s): Radim Belohlavek, Marketa Trneckova

Pages: 1641 - 1652

4) Doubly Interpretable Fuzzy Apriori Classifier by Successive Stacking and One-Step Wide Calculation

Author(s): Runshan Xie, Chi-Man Vong, Shitong Wang

Pages: 1653 - 1667

5) Novel Mismatch Parameter-Dependent Stabilization Approach Based on Sampled-Data Fuzzy Lyapunov Function

Author(s): Xiaozhen Pan, Seungyong Han, Sangmoon Lee

Pages: 1668 - 1680

6) Mismatched Quantized H∞ Output-Feedback Control of Fuzzy Markov Jump Systems With a Dynamic Guaranteed Cost Triggering Scheme

Author(s): Mouquan Shen, Yang Gu, Song Zhu, Guangdeng Zong, Xudong Zhao

Pages: 1681 - 1692

7) Cooperative Design of Asynchronous Controller and Dynamic Packet Dropouts Compensator for Strictly Dissipative T–S Fuzzy Markov Jump Systems

Author(s): Jian Wang, Jiuxiang Dong

Pages: 1693 - 1705

8) Fuzzy Inference Attention Module for Unsupervised Domain Adaptation

Author(s): Zhengshan Wang, Long Chen, Fei-Yue Wang

Pages: 1706 - 1718

9) Supporting Consensus Reaching on Prioritizing Failure Modes in Reliability Management: The Role of Social-Trust-Driven Rating Modifications Willingness

Author(s): Hengjie Zhang, Wenwen Zhang, Fang Wang, Xia Chen, Yucheng Dong, Francisco Chiclana

Pages: 1719 - 1732

10) Fuzzy Nonlinear Regression Modeling With Radial Basis Function Networks

Author(s): Gholamreza Hesamian, Arne Johannssen, Nataliya Chukhrova

Pages: 1733 - 1742

11) Co-Design of New Fuzzy Switching-Type State-FDI Estimation and Attack Compensation for Dc Microgrids Under Hybrid Attacks

Author(s): Fuyi Yang, Xiangpeng Xie, Chen Peng

Pages: 1743 - 1755

12) Event-Triggered State-Dependent Switching for Adaptive Fuzzy Control of Switched Nonlinear Systems

Author(s): Fenglan Wang, Lijun Long, Cheng Xiang

Pages: 1756 - 1767

13) Dynamical Analysis, Circuit Design, and Fuzzy Prescribed Performance Backstepping Control of the FO Weakly Coupled MEMS Resonators

Author(s): Shaohua Luo, Yongduan Song, Frank L. Lewis, Guangwei Deng

Pages: 1768 - 1781

14) A Novel Fuzzy Large Margin Distribution Machine With Unified Pinball Loss

Author(s): Libo Zhang, Denghao Dong, Lianyi Luo, Dun Liu

Pages: 1782 - 1795

15) (I, O)-Fuzzy Rough Sets Based on Overlap Functions With Their Applications to Feature Selection and Image Edge Extraction

Author(s): Xiaohong Zhang, Mengyuan Li, Songtao Shao, Jingqian Wang

Pages: 1796 - 1809

16) Fuzzy SMC for Discrete Nonlinear Singularly Perturbed Models With Semi-Markovian Switching Parameters

Author(s): Wenhai Qi, Jichao Zhang, Ju H. Park, Hak-Keung Lam, Jun Cheng

Pages: 1810 - 1820

17) Multitime Scale Thunderstorm Monitoring System With Real-Time Warning and Imaging

Author(s): Xu Yang, Hongyan Xing, Xinyuan Ji, Xin Su, Witold Pedrycz

Pages: 1821 - 1835

18) Negative Hesitation Fuzzy Sets and Their Application to Pattern Recognition

Author(s): Youpeng Yang, Sanghyuk Lee, Haolan Zhang, Xiaowei Huang, Witold Pedrycz

Pages: 1836 - 1847

19) Time-Domain Mapping-Based Adaptive Fuzzy Formation Control of Nonlinear Multi-Agent Systems With Input Saturation

Author(s): Yongming Li, Xingyan Zheng, Kewen Li

Pages: 1848 - 1861

20) Adaptive Fuzzy Distributed Optimization for Uncertain Nonlinear Multiagent Systems

Author(s): Yukan Zheng, Yuan-Xin Li, Choon Ki Ahn

Pages: 1862 - 1872

21) On H∞ Fuzzy Proportional-Integral Observer Design Under Amplify-and-Forward Relays and Multirate Measurements

Author(s): Yezheng Wang, Zidong Wang, Lei Zou, Hongli Dong

Pages: 1873 - 1885

22) An Efficient Federated Multiview Fuzzy C-Means Clustering Method

Author(s): Xingchen Hu, Jindong Qin, Yinghua Shen, Witold Pedrycz, Xinwang Liu, Jiyuan Liu

Pages: 1886 - 1899

23) Reachable Set Estimate Performance and Stochastic Aperiodic Sampling Mechanism Design for T-S Fuzzy Systems: Its Application to Wind Turbine System

Author(s): Pratap Anbalagan, Young Hoon Joo

Pages: 1900 - 1914

24) ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images Using Fuzzy Techniques

Author(s): Javier Fumanal-Idocin, Javier Andreu-Perez, Oscar Cordón, Hani Hagras, Humberto Bustince

Pages: 1915 - 1926

25) Segmentation Pseudolabel Generation Using the Multiple Instance Learning Choquet Integral

Author(s): Connor H. McCurley, Alina Zare

Pages: 1927 - 1937

26) Antiforgetting Incremental Learning Algorithm for Interval Type-2 Fuzzy Neural Network

Author(s): Chenxuan Sun, Honggui Han, Xiaolong Wu, Hongyan Yang

Pages: 1938 - 1950

27) Fuzzy-Based Deep Attributed Graph Clustering

Author(s): Yue Yang, Xiaorui Su, Bowei Zhao, GuoDong Li, Pengwei Hu, Jun Zhang, Lun Hu

Pages: 1951 - 1964

28) Fixed-Time Formation Control for Uncertain Nonlinear Multiagent Systems With Time-Varying Actuator Failures

Author(s): Jianhui Wang, Yonghua Li, Yushen Wu, Zhi Liu, Kairui Chen, C. L. Philip Chen

Pages: 1965 - 1977

29) Fixed-Time Synchronization of Impulsive Octonion-Valued Fuzzy Inertial Neural Networks via Improving Fixed-Time Stability

Author(s): Ningning Zhao, Yuanhua Qiao, Jun Miao, Lijuan Duan

Pages: 1978 - 1990

30) Unified Solutions to Optimal Fuzzy Observer-Based Fault Detection for Discrete-Time Nonlinear Systems

Author(s): Linlin Li, Haili Zhang, Steven X. Ding, Liang Qiao, Kaixiang Peng, Xin Peng

Pages: 1991 - 2004

31) Fuzzy k-Winner-Take-All Network for Competitive Coordination in Multirobot Systems

Author(s): Long Jin, Yutong Li, Xiaoyan Zhang, Xin Luo

Pages: 2005 - 2016

32) Attack Resilient Fault Tolerant Control for T–S Fuzzy Cyber-Physical Systems

Author(s): Qidong Liu, Yue Long, Tieshan Li, C. L. Philip Chen

Pages: 2017 - 2028

33) Adaptive Optimal Control via Q-Learning for Itô Fuzzy Stochastic Nonlinear Continuous-Time Systems With Stackelberg Game

Author(s): Zhongyang Ming, Huaguang Zhang, Ying Yan, Liu Yang

Pages: 2029 - 2038

34) Prescribed-Time Adaptive Fuzzy Control for Pneumatic Artificial Muscle-Actuated Parallel Robots With Input Constraints

Author(s): Shuzhen Diao, Gendi Liu, Zhuoqing Liu, Lu Zhou, Wei Sun, Yu Wang, Ning Sun

Pages: 2039 - 2051

35) Optimization Attribute Reduction With Fuzzy Rough Sets Based on Algorithm Stability

Author(s): Yue Gao, Degang Chen, Hui Wang, Ruifeng Shi

Pages: 2052 - 2062

36) Fuzzy Adaptive Learning Bipartite Consensus for Strict-Feedback Structurally Unbalanced Multiagent Systems With State Constraints

Author(s): Shengxiang Zou, Mingxuan Sun, Xiongxiong He

Pages: 2063 - 2076

37) Fuzzy Observer-Based Input/Output Event-Triggered Control for Euler–Lagrange Systems With Guaranteed Performance and Input Saturation

Author(s): Yunsong Hu, Huaicheng Yan, Meng Wang, Xiao Hu, Zhichen Li

Pages: 2077 - 2088

38) Adaptive Memory-Event-Triggered Fault Detection for Interval Type-2 Fuzzy Markov Jump Systems With Sensor Saturation

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

Pages: 2089 - 2101

39) A Life-Long Learning XAI Metaheuristic-Based Type-2 Fuzzy System for Solar Radiation Modeling

Author(s): Majid Almaraashi, Mahmoud Abdulrahim, Hani Hagras

Pages: 2102 - 2115

40) Identification of Single-Event Stochastic Fuzzy Discrete Event Systems: An Equation-Systems-Based Approach

Author(s): Hao Ying, Feng Lin

Pages: 2116 - 2128

41) Modeling and Control of Discrete-Time T-S Fuzzy Systems Subject to Stochastic Packet Dropouts

Author(s): Hao-Yuan Sun, Shuang Hou, Hong-Gui Han, Jun-Fei Qiao

Pages: 2129 - 2139

42) Resilient Event-Triggered Filtering for Networked Switched T-S Fuzzy Systems Under Denial-of-Service Attacks

Author(s): Ning Zhao, Xudong Zhao, Guangdeng Zong, Ning Xu

Pages: 2140 - 2152

43) Observer-Based Adaptive Sliding Mode Control for Markovian Jumping Fuzzy Systems With Fractional Brownian Motions

Author(s): Xiao Xu, Yonggui Kao, Zhenbin Du, Xudong Zhao

Pages: 2153 - 2163

44) Information Theoretical Importance Sampling Clustering and Its Relationship With Fuzzy C-Means

Author(s): Jiangshe Zhang, Lizhen Ji, Meng Wang

Pages: 2164 - 2175

45) Optimal Granularity of Machine Learning Models: A Perspective of Granular Computing

Author(s): Witold Pedrycz, Xianmin Wang

Pages: 2176 - 2186

46) Predefined-Time Adaptive Fuzzy Bipartite Consensus Control for Multiquadrotors Under Malicious Attacks

Author(s): Guozeng Cui, Hui Xu, Shengyuan Xu, Juping Gu

Pages: 2187 - 2197

47) Probabilistic Linguistic Petri Nets for Knowledge Representation and Acquisition With Dynamic Consensus Reaching Process

Author(s): Hua Shi, Ya-Xuan Yu, Ran Liu, Hu-Chen Liu

Pages: 2198 - 2210

48) Event-Triggered H∞ Control for Fuzzy Two-Time-Scale Systems

Author(s): Tian-Tian Yu, Yan-Wu Wang, Yan Lei, Xiao-Kang Liu

Pages: 2211 - 2222

49) Multilayer Stacked Evolving Fuzzy System Combined With Compressed Representation Learning

Author(s): Hui Huang, Hai-Jun Rong, Zhao-Xu Yang, Chi-Man Vong

Pages: 2223 - 2234

50) Structural Relaxation Approach to H∞ Control With Quadratic Fuzzy Lyapunov Function for Continuous-Time Takagi–Sugeno Fuzzy Systems

Author(s): Kyung Soo Kim, Jun Hui Lee, PooGyeon Park

Pages: 2235 - 2245

51) Feature Selection Using Zentropy-Based Uncertainty Measure

Author(s): Kehua Yuan, Duoqian Miao, Yiyu Yao, Hongyun Zhang, Xuerong Zhao

Pages: 2246 - 2260

52) QChi: A Faster Classification Algorithm Based on Wang–Mendel Algorithm

Author(s): Leonardo Jara, Antonio González, Raúl Pérez

Pages: 2261 - 2271

53) Transition Between TS Fuzzy Models and the Associated Convex Hulls by TS Fuzzy Model Transformation

Author(s): Péter Baranyi

Pages: 2272 - 2282

54) Adaptive Fuzzy Predefined Accuracy Control for Output Feedback Cooperation of Nonlinear Multiagent Systems Under Input Quantization

Author(s): Dajie Yao, Xiangpeng Xie, Choon Ki Ahn

Pages: 2283 - 2296

55) Fuzzy Optimal Control for a Class of Discrete-Time Switched Nonlinear Systems

Author(s): Zhengrong Xiang, Pingchuan Li, Mohammed Chadli, Wencheng Zou

Pages: 2297 - 2306

56) Fixed-Time Synchronization of Fuzzy Complex Dynamical Networks With Reaction-Diffusion Terms via Intermittent Pinning Control

Author(s): Xiaofang Hu, Leimin Wang, Chuan-Ke Zhang, Yong He

Pages: 2307 - 2317

57) Semisupervised Fuzzily Weighted Adaptive Boosting for Classification

Author(s): Xiaowei Gu, Plamen P. Angelov, Qiang Shen

Pages: 2318 - 2330

58) Fuzzy Adaptive Fault-Tolerant Stability Control Against Novel Actuator Faults and Its Application to Mechanical Systems

Author(s): Qikun Shen, Peng Shi, Chee Peng Lim

Pages: 2331 - 2340

59) Sound Feedback Fuzzy Control for Optimizing Bone Milling Operation During Robot-Assisted Laminectomy

Author(s): Guangming Xia, Lina Zhang, Yu Dai, Yuan Xue, Jianxun Zhang

Pages: 2341 - 2351

60) Observer-Based Fuzzy PID Tracking Control Under Try-Once-Discard Communication Protocol: An Affine Fuzzy Model Approach

Author(s): Yezheng Wang, Zidong Wang, Lei Zou, Hongli Dong

Pages: 2352 - 2365

61) Two-Dimensional Repetitive Control of Uncertain Takagi–Sugeno Systems Based on a New Equivalent-Input-Disturbance Estimator

Author(s): Shengnan Tian, Kang-Zhi Liu, Manli Zhang, Chengda Lu, Luefeng Chen, Min Wu, Jinhua She

Pages: 2366 - 2377

62) Quantized Asynchronous Filtering for Fuzzy Semi-Markov Switching Systems With Multiple Stochastic Delays Under Deception Attacks

Author(s): Youmei Zhou, Xiao-Heng Chang, Ju H. Park

Pages: 2378 - 2389

63) Optimal Formation Control of Second-Order Heterogeneous Multiagent Systems Using Adaptive Predefined-Time Strategy

Author(s): Jiaxin Zhang, Yue Fu, Jun Fu

Pages: 2390 - 2402

64) Prescribed-Time Adaptive Fuzzy Optimal Control for Nonlinear Systems

Author(s): Yan Zhang, Mohammed Chadli, Zhengrong Xiang

Pages: 2403 - 2412

65) Optimizing-Information-Granule-Based Consensus Reaching Model in Large-Scale Group Decision Making

Author(s): Yingying Liang, Witold Pedrycz, Jindong Qin

Pages: 2413 - 2427

66) Sensor and Actuator Fault Estimations and Self-Healing Control of Discrete-Time T-S Fuzzy Model With Double Observers and Its Application to Wastewater Treatment Process

Author(s): Li Li, Tianyu Gu, Hongguang Pan, Jianchen Hu, Xinyu Yu

Pages: 2428 - 2437

67) Observer-Based Adaptive Event-Triggered Control for Interval Type-2 Fuzzy Systems Under Multiple Cyber-Attacks

Author(s): Yajuan Liu, Pengcheng Zhang, Sangmoon Lee, Xiangpeng Xie

Pages: 2438 - 2447

68) Actor–Critic-Based Predefined-Time Fuzzy Adaptive Optimal Control for Uncertain Nonlinear Systems With Input Saturation

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

Pages: 2448 - 2457

69) Fixed-Time Adaptive Fuzzy Fault-Tolerant Attitude Control for Tailless Aircraft Without Angular Velocity Measurements

Author(s): Zhilong Yu, Yinghui Li, Maolong Lv, Binbin Pei, Wenfeng Xu, Xiangwei Bu

Pages: 2458 - 2470

70) Hierarchical Self-Organizing Fuzzy Control for Uncertain Nonlinear Systems

Author(s): Hong-Gui Han, Cheng-Cheng Feng, Hao-Yuan Sun, Jun-Fei Qiao

Pages: 2471 - 2482

71) Reinforcement-Learning-Based Fuzzy Adaptive Finite-Time Optimal Resilient Control for Large-Scale Nonlinear Systems Under False Data Injection Attacks

Author(s): Jipeng Zhao, Guang-Hong Yang

Pages: 2483 - 2495

72) Fuzzy Dynamic Event-Triggered Containment Control for Human-in-the-Loop MASs With Error Constraints

Author(s): Guohuai Lin, Hongru Ren, Qi Zhou, Xinzhong Wang

Pages: 2496 - 2508

73) Iterative Inverse-Based Adaptive Fuzzy Control With Predetermined Tracking Accuracy for Hysteretic Nonlinear Systems

Author(s): Guanyu Lai, Kai Huang, Yonghua Wang, Fang Wang, Hanzhen Xiao

Pages: 2509 - 2522

74) Observer-Based Fuzzy l2–l∞ Control for Discrete-Time Nonlinear Systems

Author(s): Xiao-Heng Chang, Xu Han

Pages: 2523 - 2528

Friday, April 26, 2024

Weekly Review 26 April 2024

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

Anyone with even the slightest knowledge of the technology being used could have told them that 1) It was going to have bad performance over women of colour, and 2) That the people using it would be too lazy to double-check: https://www.nzherald.co.nz/nz/supermarket-facial-recognition-trial-rotorua-mothers-discrimination-ordeal/IK4ZEJHLQVFRLMDE6LX4AR57PE/
An optical neural network chip uses 0.1% of the energy of other chips: https://spectrum.ieee.org/optical-neural-network
One trial finds five hours per week of productivity savings from using AI: https://www.newshub.co.nz/home/money/2024/04/artificial-intelligence-trial-shows-ai-can-result-in-up-to-five-hours-a-week-of-beautiful-productivity-savings.html
As I predicted, this AI powered badge is nowhere near as useful as its makers claimed it would be: https://www.theverge.com/24126502/humane-ai-pin-review
Jailbreaking ChatGPT, and how it helps make AI safer: https://www.freethink.com/robots-ai/chatgpt-jailbreakers
Are self-replicating AI just around the corner? I don't think so, their power demands are too large at the moment: https://futurism.com/the-byte/anthropic-ceo-ai-replicate-survive
An AI doorcam that shoots paintballs. This just looks like a lawsuit waiting to happen: https://newatlas.com/technology/paintball-security-paintcam-eve/
I don't think making AI chatbots of deceased loved ones is a good idea. The chatbots will never be true to the person, and they could stop people moving on with their lives after a loss: https://www.freethink.com/robots-ai/thanabots
Meta's AI claims to have a disabled and gifted child: https://futurism.com/the-byte/meta-ai-child
The best CEOs are people people, who can really lead and motivate their staff. I don't see AI being able to effectively do that, especially if people know they're AI: https://futurism.com/the-byte/ceos-fear-ai-jobs
A graphical representation of 15 statistics about AI: https://spectrum.ieee.org/ai-index-2024
An interesting article on how machine learning was used to learn the mechanics of insect wing hinges: https://www.nature.com/articles/s41586-024-07293-4
On the need for new metrics to measure the performance of AI: https://www.nature.com/articles/d41586-024-01087-4
Hala Point, a neuromorphic AI architecture from Intel: https://www.datanami.com/2024/04/18/intel-announces-hala-point-worlds-largest-neuromorphic-system-for-sustainable-ai/
Meta releases their latest LLM AI model, claims it's the best one yet: https://www.theverge.com/2024/4/18/24133808/meta-ai-assistant-llama-3-chatgpt-openai-rival
An AI heavy automated fast food place is underwhelming: https://www.theguardian.com/technology/2024/apr/15/ai-burger-joint-flippy-caliexpress I do expect these to get better, and more common, in the future
Using machine learning to detect small differences in brain activity indicative of psychosis: https://www.extremetech.com/science/machine-learning-helps-scientists-locate-the-neurological-origin-of-psychosis
Content generated by AI is NOT a passing fad: https://www.theregister.com/2024/04/17/devaluing_ai_content_is_lazy/?td=rt-4a
Educators' unions are having regulations around generative AI written into contracts: https://www.insidehighered.com/news/tech-innovation/artificial-intelligence/2024/04/18/faculty-unions-seek-ai-guidelines-contracts
How AI is affecting retail: https://www.informationweek.com/machine-learning-ai/how-ai-is-reshaping-retail
More expansion in data centres to support growth of AI: https://www.theregister.com/2024/04/18/microsoft_datacenter_capacity/ Where is the energy to run and cool these centres going to come from?
No, Meta's labelling of AI generated content will not stop AI being used to produce and spread misinformation: https://www.extremetech.com/internet/meta-will-begin-labeling-ai-generated-content-misinformation
AI is good for small businesses as well: https://dataconomy.com/2024/04/18/pwc-global-nextgen-survey-2024/
AI is definitely in a bubble, the question is, how much of a mess will it make when it bursts? https://www.kdnuggets.com/dot-com-to-dot-ai-new-tech-bubble

Computational Intelligence

Wednesday, May 8, 2024

IEEE Transactions on Emerging Topics in Computational Intelligence, Volume 8, Issue 2, April 2024

Tuesday, May 7, 2024

Call for Papers: Special Session on AI in Environmental, Conservation and Geospatial Applications, ICONIP 2024

IEEE Transactions on Artificial Intelligence, Volume 5, Issue 4, April 2024

Monday, May 6, 2024

Call for Papers: Special Session on AI Education, ICONIP 2024

AI Education

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IEEE Transactions on Evolutionary Computation, Volume 28, Issue 2, April 2024

Friday, May 3, 2024

Weekly Review 3 May 2024

IEEE Transactions on Cognitive and Developmental Systems, Volume 16, Issue 2, April 2024

Wednesday, May 1, 2024

IEEE Transactions on Fuzzy Systems, Volume 32, Issue 4, April 2024

Friday, April 26, 2024

Weekly Review 26 April 2024

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