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IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3603826

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Proceedings of the IEEE Publication Information IEEE出版信息学报

IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3594509

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IEEE Membership IEEE会员

IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3594515

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Proceedings of the IEEE: Stay Informed. Become Inspired. IEEE会刊：保持信息灵通。成为灵感。

IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3594517

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IEEE Connects You to a Universe of Information IEEE将你连接到信息的宇宙

IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-09-10 DOI: 10.1109/JPROC.2025.3604207

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Vehicle-to-Everything Cooperative Perception for Autonomous Driving 自动驾驶车辆对一切的协同感知

IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-08-29 DOI: 10.1109/JPROC.2025.3600903

Tao Huang;Jianan Liu;Xi Zhou;Dinh C. Nguyen;Mostafa Rahimi Azghadi;Yuxuan Xia;Qing-Long Han;Sumei Sun

{"title":"Vehicle-to-Everything Cooperative Perception for Autonomous Driving","authors":"Tao Huang;Jianan Liu;Xi Zhou;Dinh C. Nguyen;Mostafa Rahimi Azghadi;Yuxuan Xia;Qing-Long Han;Sumei Sun","doi":"10.1109/JPROC.2025.3600903","DOIUrl":"10.1109/JPROC.2025.3600903","url":null,"abstract":"Achieving fully autonomous driving with enhanced safety and efficiency relies on vehicle-to-everything (V2X) cooperative perception (CP), which enables vehicles to share perception data, thereby enhancing situational awareness and overcoming the limitations of the sensing ability of individual vehicles. V2X CP plays a crucial role in extending the perception range, increasing detection accuracy, and supporting more robust decision-making and control in complex environments. This article provides a comprehensive survey of recent developments in V2X CP, introducing mathematical models that characterize the perception process under different collaboration strategies. Key techniques for enabling reliable perception sharing, such as agent selection, data alignment, and feature fusion, are examined in detail. In addition, major challenges are discussed, including differences in agents and models, uncertainty in perception outputs, and the impact of communication constraints such as transmission delay and data loss. This article concludes by outlining promising research directions, including privacy-preserving artificial intelligence methods, collaborative intelligence, and integrated sensing frameworks to support future advancements in V2X CP.","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"113 5","pages":"443-477"},"PeriodicalIF":25.9,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144919435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Deep Reinforcement Learning for Distribution System Operations: A Tutorial and Survey 配电系统运行的深度强化学习：教程与综述

IF 20.6 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-08-29 DOI: 10.1109/jproc.2025.3599840

Daniel Glover, Gayathri Krishnamoorthy, Hongda Ren, Anamika Dubey, Assefaw Gebremedhin

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Brain–Computer Interface—A Brain-in-the-Loop Communication System 脑机接口——脑环通信系统

IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-08-25 DOI: 10.1109/JPROC.2025.3600389

Xiaorong Gao;Yijun Wang;Xiaogang Chen;Bingchuan Liu;Shangkai Gao

{"title":"Brain–Computer Interface—A Brain-in-the-Loop Communication System","authors":"Xiaorong Gao;Yijun Wang;Xiaogang Chen;Bingchuan Liu;Shangkai Gao","doi":"10.1109/JPROC.2025.3600389","DOIUrl":"10.1109/JPROC.2025.3600389","url":null,"abstract":"The brain–computer interface (BCI) establishes a direct communication system between the brain and a computer or other external devices. Since the inception of BCI technology half a century ago, it has advanced rapidly and developed into an active area of frontier research in modern applied science and technology. This article provides a comprehensive survey on BCI with respect to a brain-in-the-loop communication system. In the present work, we first introduce the underlying architecture of the BCI system from the theoretical and methodological perspectives of communication systems. The key technologies are then detailed, including the construction of BCI system, brain-to-computer (B2C) communication, computer-to-brain (C2B) communication, and multiuser BCI systems. Additionally, this article discusses the various applications of BCI and the challenges they face. Finally, this article discusses BCI’s future development, with an emphasis on the convergence of human intelligence (HI) and artificial intelligence (AI), and the interaction of BCI with wireless communication and the metaverse.","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"113 5","pages":"478-511"},"PeriodicalIF":25.9,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11134813","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144900627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Drone-as-a-Service: Research Challenges and Directions 无人机即服务：研究挑战与方向

IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-08-22 DOI: 10.1109/JPROC.2025.3599126

Ali Hamdi;Balsam Alkouz;Babar Shahzaad;Athman Bouguettaya;Azadeh Ghari Neiat;Flora Salim;Du Yong Kim

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Federated Domain Generalization: A Survey 联邦领域泛化:综述

IF 25.9 1区计算机科学

Proceedings of the IEEE Pub Date : 2025-08-20 DOI: 10.1109/JPROC.2025.3596173

Ying Li;Xingwei Wang;Rongfei Zeng;Praveen Kumar Donta;Ilir Murturi;Min Huang;Schahram Dustdar

{"title":"Federated Domain Generalization: A Survey","authors":"Ying Li;Xingwei Wang;Rongfei Zeng;Praveen Kumar Donta;Ilir Murturi;Min Huang;Schahram Dustdar","doi":"10.1109/JPROC.2025.3596173","DOIUrl":"https://doi.org/10.1109/JPROC.2025.3596173","url":null,"abstract":"Machine learning (ML) typically relies on the assumption that training and testing distributions are identical and that data are centrally stored for training and testing. However, in real-world scenarios, distributions may differ significantly, and data are often distributed across different devices, organizations, or edge nodes. Consequently, it is to develop models capable of effectively generalizing across unseen distributions in data spanning various domains. In response to this challenge, there has been a surge of interest in federated domain generalization (FDG) in recent years. FDG synergizes federated learning (FL) and domain generalization (DG) techniques, facilitating collaborative model development across diverse source domains for effective generalization to unseen domains, all while maintaining data privacy. However, generalizing the federated model under domain shifts remains a complex, underexplored issue. This article provides a comprehensive survey of the latest advancements in this field. Initially, we discuss the development process from traditional ML to domain adaptation (DA) and DG, leading to FDG, as well as provide the corresponding formal definition. Subsequently, we classify recent methodologies into four distinct categories: federated domain alignment (FDAL), data manipulation (DM), learning strategies (LSs), and aggregation optimization (AO), detailing appropriate algorithms for each. We then overview commonly utilized datasets, applications, evaluations, and benchmarks. Conclusively, this survey outlines potential future research directions.","PeriodicalId":20556,"journal":{"name":"Proceedings of the IEEE","volume":"113 4","pages":"370-410"},"PeriodicalIF":25.9,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145028004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0