Editorial Material
Computer Science, Artificial Intelligence
Jie Lu, Joao Gama, Xin Yao, Leandro Minku
Summary: In recent years, stream learning has significantly developed in both conceptual and application levels, becoming a hot research direction in machine learning and data science. Advancements include detecting concept drift, adapting to drifts, and utilizing online, active, incremental, and reinforcement learning in data streaming scenarios.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Editorial Material
Engineering, Electrical & Electronic
Robert M. Cuzner, Josep M. Guerrero
Summary: The concept of DC power and energy delivery is increasingly applied in various fields, with protection becoming a paramount concern. From low voltage LVDC to high voltage HVDC, the demand for DC distribution is continuously increasing. The future trend is moving towards MVDC power and energy distribution.
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
(2021)
Editorial Material
Computer Science, Artificial Intelligence
Gustavo Olague, Mario Koppen, Oscar Cordon
Summary: This article introduces the field of Evolutionary Computer Vision (ECV), which is at the intersection of computer vision (CV) and evolutionary computation (EC). ECV utilizes evolutionary algorithms and metaheuristic approaches combined with analytical methods to achieve human-competitive results. It aims to design software and hardware solutions for challenging CV problems and enhance our understanding of visual processing in nature.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2023)
Editorial Material
Engineering, Biomedical
Deepu John, Tony Tae-Hyoung Kim, Matthew L. Johnston
Summary: The papers in this special section were presented at ISCAS 2021.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2021)
Editorial Material
Computer Science, Information Systems
Liuqing Yang, Wentao Huang, Vassilios G. Agelidis, Dongliang Duan, Yang Cao
Summary: Recent years have seen significant advancements in the power grid, such as the replacement of traditional mechanical components with intelligent electronics devices, the introduction of renewable energy resources and large-scale energy storage, the production of smart appliances for customized and efficient energy usage, and the implementation of advanced sensors for real-time monitoring. In essence, the power grid is transforming into a big Internet of Things (IoT) network, where individual components operate intelligently in a distributed but interconnected manner.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Editorial Material
Engineering, Biomedical
Chung-Chih Hung, Mohamed Atef, Vanessa Chen
Summary: The 16 papers in this special issue were presented at the 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS) in Taipei, Taiwan, from October 13-15, 2022. BioCAS 2022 was jointly sponsored by the IEEE Circuits and Systems (CAS) Society, IEEE Solid-State Circuits (SSC) Society, and the IEEE Engineering in Medicine and Biology (EMB) Society.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2023)
Editorial Material
Engineering, Biomedical
Chung-Chih Hung, Mohamed Atef, Vanessa Chen
Summary: This article presents the 8 papers presented at the 2021 IEEE Biomedical Circuits and Systems Conference (BioCAS) in Berlin, Germany, and provides an overview of the conference and its sponsors.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2022)
Editorial Material
Computer Science, Information Systems
Merouane Debbah, Hongliang Zhang, Walid Saad, Lingyang Song
Summary: The emerging UAVs have a larger service coverage for sensing purposes, but due to limited computation capability, real-time sensory data needs to be transmitted to the BS/server for processing. The use of cellular networks to support data transmission for UAVs is called the Internet of UAVs, for which 3GPP has approved a study item to seamlessly integrate UAVs into future cellular networks.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Editorial Material
Engineering, Electrical & Electronic
Saeid Haghbin, Amir Sajjad Bahman, Hao Chen
Summary: Hybrid and all-electric vehicles have gained significant market share and are expected to see rapid development in the coming years. The powertrain unit in different configurations generates traction force in vehicles. More consistency and unification between the industry and academia are needed for better results.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Editorial Material
Engineering, Electrical & Electronic
Guifang Li, Ben Eggleton, Rene-Jean Essiambre, Daoxin Dai, Yikai Su
Summary: This article introduces the special issue of PTL, which includes excellent papers from ACP 2021 and provides additional technical results and in-depth discussions and insights.
IEEE PHOTONICS TECHNOLOGY LETTERS
(2022)
Editorial Material
Computer Science, Interdisciplinary Applications
Huazhu Fu, Yitian Zhao, Pew-Thian Yap, Carola-Bibiane Schonlieb, Alejandro F. Frangi
Summary: In recent years, there has been increasing attention on geometric deep learning (GDL) and its applications to various problems in medical imaging. Unlike convolutional neural networks (CNNs) limited to grid-structured data, GDL can handle non-Euclidean data and is well-suited for medical imaging data. However, there are still questions on how to learn representations of non-Euclidean medical imaging data effectively, perform convolution on graphs, handle heterogeneous data, and improve the interpretability of GDL. After discussing with domain experts, a special issue is identified as necessary to bring attention to these topics in the medical imaging community.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2023)
Editorial Material
Engineering, Electrical & Electronic
Tie Jun Cui, Andrea Alu, Sir John Brian Pendry
Summary: Metamaterials and metasurfaces have brought exciting concepts to electromagnetics and inspired new design methodologies for EM devices and systems. Key advancements include the realization of negative permeability medium split-ring resonators and negative index of refraction metamaterials. Future research focuses on complex materials, effective medium models, anomalous EM phenomena, and the computational abilities of metamaterials.
IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES
(2023)
Editorial Material
Computer Science, Artificial Intelligence
Uwe Aickelin, Hadi Akbarzadeh Khorshidi, Rong Qu, Hadi Charkhgard
Summary: This special issue focuses on the application of multiobjective evolutionary optimization in machine learning. Optimization plays a crucial role in many machine-learning techniques, and there is still potential to further utilize optimization in machine learning. Each machine-learning technique has hyperparameters that can be adjusted through evolutionary computation and optimization, considering multiple criteria such as bias, variance, complexity, and fairness in model selection. Multiobjective evolutionary optimization can help meet these criteria for optimizing machine-learning models. Although some existing approaches transform the problem into a single-objective optimization problem, multiobjective optimization models are more effective in contributing to multiple intended objectives or criteria.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
(2023)
Editorial Material
Engineering, Multidisciplinary
Eric Severson, Akira Chiba
Summary: Magnetic levitated motor systems offer potential improvements in lifetime and efficiency, solve critical challenges,and feature prognostic capabilities. However, historical limitations due to cost, design complexity, and low force density have hindered acceptance. Recent technological advances are enabling new approaches to address these challenges.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
(2021)
Editorial Material
Engineering, Electrical & Electronic
Liu Fan, Christos Masouros, Jie Xu, Tony Xiao Han, Aboulnasr Hassanien, Yonina C. Eldar, Stefano Buzzi
Summary: This article is Part II of the double-part Special Issue on Integrated Sensing and Communication (ISAC), aiming to bring together contributions from both academia and industry to highlight the recent progress of ISAC. It includes 32 accepted articles arranged into six groups, covering various aspects of ISAC. The authors provide an introduction to the content of this Special Issue and refer readers to Part I for a comprehensive overview.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2022)
