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检索条件"机构=Cloud Computing and Distributed Systems Laboratory School of Computing and Information Systems"
1231 条 记 录,以下是141-150 订阅
GACL-Net:Hybrid Deep Learning Framework for Accurate Motor Imagery Classification in Stroke Rehabilitation
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Computers, Materials & Continua 2025年 第4期83卷 517-536页
作者: Chayut Bunterngchit Laith H.Baniata Mohammad H.Baniata Ashraf ALDabbas Mohannad A.Khair Thanaphon Chearanai Sangwoo Kang State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing100190China School of Computing Gachon UniversitySeongnam13120Republic of Korea Computer Science Department Faculty of Information TechnologyThe World Islamic Sciences and Education UniversityAmman11947Jordan Intelligent Systems Department Faculty of Artificial IntelligenceAl-Balqa Applied UniversityAl-Salt19117Jordan IT Infrastructure Department Qatrana Cement CompanyAmman11821Jordan Division of Industrial and Logistics Engineering Technology Faculty of Engineering and TechnologyKing Mongkut’s University of Technology North BangkokRayong CampusRayong21120Thailand
Stroke is a leading cause of death and disability worldwide,significantly impairing motor and cognitive *** rehabilitation is often hindered by the heterogeneity of stroke lesions,variability in recovery patterns,and ... 详细信息
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NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
arXiv
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arXiv 2024年
作者: Li, Miao Chen, Ming-Bin Tang, Bo Hou, Shengbin Wang, Pengyu Deng, Haiying Li, Zhiyu Xiong, Feiyu Mao, Keming Cheng, Peng Luo, Yi School of Computing and Information Systems The University of Melbourne Australia Institute for Advanced Algorithms Research China Northeastern University China State Key Laboratory of Media Convergence Production Technology and Systems China
We present NewsBench, a novel evaluation framework to systematically assess the capabilities of Large Language Models (LLMs) for editorial capabilities in Chinese journalism. Our constructed benchmark dataset is focus... 详细信息
来源: 评论
Improving Speech Emotion Recognition Using Data Augmentation and Balancing Techniques
Improving Speech Emotion Recognition Using Data Augmentation...
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International Conference on Cyberworlds
作者: Chawki Barhoumi Yassine Ben Ayed National School of Electronics and Telecommunications of Sfax Stax Tunisia Multimedia InfoRmation systems and Advanced Computing Laboratory Sfax Tunisia
Speech Emotion Recognition (SER) is a challenging task due to the complexity and variability of human emotions. In this paper, we propose an innovative approach to improve SER performance on the EMODB dataset. Our app...
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EnFed: An Energy-aware Opportunistic Federated Learning in Resource Constrained Environments for Human Activity Recognition
arXiv
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arXiv 2024年
作者: Mukherjee, Anwesha Buyya, Rajkumar Department of Computer Science Mahishadal Raj College West Bengal Mahishadal721628 India Laboratory School of Computing and Information Systems University of Melbourne Australia
This paper proposes an energy-efficient federated learning method and its application in human activity monitoring and recognition. In the proposed approach, the device that needs a model for an application requests i... 详细信息
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An Improved Variational Mode Decomposition with Adaptive Initial Center Frequency for Bearing Fault Feature Extraction
An Improved Variational Mode Decomposition with Adaptive Ini...
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Chinese Automation Congress (CAC)
作者: Ying Wang Xun Lang Jiande Wu Yuzhen Li Peng Li Yufeng Zhang Department of Electronic Engineering Information School Yunnan University Kunming China Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan University Kunming China
Variational mode decomposition (VMD) is extensively utilized in the field of industrial signal processing due to its superior anti-mixing and denoising capabilities. However, in practice, the performance of VMD is sig... 详细信息
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Guest Editorial Enabling Technologies and systems for Industry 5.0: From Foundation Models to Foundation Intelligence
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IEEE Transactions on systems, Man, and Cybernetics: systems 2024年 第11期54卷 6496-6499页
作者: Tang, Ying Tian, Yonglin Lin, Yilun Lv, Chen Fanti, Maria Pia Rowan University Department of Electrical and Computer Engineering GlassboroNJ08028 United States Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing100190 China Institute of Automation Chinese Academy of Sciences Beijing100190 China Shanghai AI Laboratory Urban Computing Laboratory Shanghai200232 China Nanyang Technological University School of Mechanical and Aerospace Engineering Jurong West639798 Singapore Polytechnic University of Bari Department of Electrical and Information Engineering Bari70126 Italy
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RUIFAF-Net: Radiofrequency and Ultrasound Image Feature Attention and Fusion Network for Improved Breast Cancer Segmentation
RUIFAF-Net: Radiofrequency and Ultrasound Image Feature Atte...
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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024
作者: Wu, Zhenxu Li, Bo Zhou, Huajun Lang, Xun He, Bingbing Li, X Allen Zhang, Yufeng Lv, Wenbing Guangdong Hybribio Biotechnology Co. Ltd Guangdong Chaozhou521000 China Yunnan University School of Information Yunnan Kunming650504 China Yunnan University Yunnan Key Laboratory of Intelligent Systems and Computing Yunnan Kunming650504 China Dianchi College Yunnan University Yunnan Kunming650228 China
Ultrasound imaging (US) is one of the most commonly used techniques for detecting breast lesions. However, due to the inherent properties of low contrast, speckle noise, and blurred boundaries in B-mode ultrasound ima... 详细信息
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A Joint Time and Energy-Efficient Federated Learning-based Computation Offloading Method for Mobile Edge computing
arXiv
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arXiv 2024年
作者: Mukherjee, Anwesha Buyya, Rajkumar The Department of Computer Science Mahishadal Raj College West Bengal Mahishadal721628 India Laboratory School of Computing and Information Systems University of Melbourne Australia
Computation offloading at lower time and lower energy consumption is crucial for resource limited mobile devices. This paper proposes an offloading decision-making model using federated learning. Based on the task typ... 详细信息
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DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices  38
DapperFL: Domain Adaptive Federated Learning with Model Fusi...
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38th Conference on Neural information Processing systems, NeurIPS 2024
作者: Jia, Yongzhe Zhang, Xuyun Hu, Hongsheng Choo, Kim-Kwang Raymond Qi, Lianyong Xu, Xiaolong Beheshti, Amin Dou, Wanchun State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing University China School of Computing Macquarie University Australia School of Information and Physical Sciences University of Newcastle Australia Department of Information Systems and Cyber Security University of Texas San Antonio United States College of Computer Science and Technology China University of Petroleum [East China China School of Computer and Software Nanjing University of Information Science and Technology China
Federated learning (FL) has emerged as a prominent machine learning paradigm in edge computing environments, enabling edge devices to collaboratively optimize a global model without sharing their private data. However...
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Edge-Driven Industrial computing Power Networks: Digital Twin-Empowered Service Provisioning by Hybrid Soft Actor-Critic
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IEEE Transactions on Vehicular Technology 2025年 第5期74卷 8095-8109页
作者: Zhang, Long Song, Deng-Ao Zhang, Hongliang Tian, Ni Zhuang, Zirui Niyato, Dusit Han, Zhu Hebei University of Engineering School of Information and Electrical Engineering Handan056038 China Peking University State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Beijing100871 China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China Nanyang Technological University College of Computing and Data Science 639798 Singapore University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of
With the proliferation of data-intensive industrial applications, the collaboration of computing powers among standalone edge servers is vital to provision such services for smart devices. In this paper, we propose an... 详细信息
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