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检索条件"机构=Department of Electrical and Computer Engineering and Institute for Data Science and Computing"
4595 条 记 录,以下是301-310 订阅
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Quantum Hamiltonian Descent for Non-smooth Optimization
arXiv
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arXiv 2025年
作者: Leng, Jiaqi Zheng, Yufan Jia, Zhiyuan Fan, Lei Zhao, Chaoyue Peng, Yuxiang Wu, Xiaodi Simons Institute for the Theory of Computing University of California Berkeley United States Department of Mathematics University of California Berkeley United States Department of Computer Science University of Maryland College Park United States Joint Center for Quantum Information and Computer Science University of Maryland United States Department of Applied Mathematics University of Washington United States Department of Engineering Technology University of Houston United States Department of Electrical and Computer Engineering University of Houston United States Department of Industrial and Systems Engineering University of Washington United States Artephi Computing Inc United States
Non-smooth optimization models play a fundamental role in various disciplines, including engineering, science, management, and finance. However, classical algorithms for solving such models often struggle with converg... 详细信息
来源: 评论
Fe2O3-Functionalized MoS2 Nanostructure Sensor for High-Sensitivity and Low-Level SO2 Detection
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ACS Sensors 2025年
作者: Gond, Rahul Barala, Suraj Shukla, Prajjwal Bassi, Gaurav Kumar, Suresh Kumar, Mukesh Kumar, Mahesh Rawat, Brajesh Department of Electrical Engineering Indian Institute of Technology Ropar Punjab Rupnagar140001 India IDRP-Space Science and Technology Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India Department of Physics Indian Institute of Technology Ropar Punjab Rupnagar140001 India Department of Physics Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India Department of Electrical Engineering Indian Institute of Technology Jodhpur Rajasthan Jodhpur342030 India Department of Cybernetics Nanotechnology and Data Processing Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 16 Gliwice44-100 Poland
Real-time sulfur dioxide (SO2) monitoring is essential to mitigate its severe health and environmental impacts while ensuring compliance with industrial safety and emission regulations. Two-dimensional MoS2 stands out... 详细信息
来源: 评论
NOMANet: A Graph Neural Network Enabled Power Allocation Scheme for NOMA
arXiv
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arXiv 2025年
作者: Hou, Yipu Lu, Yang Chen, Wei Ai, Bo Niyato, Dusit Ding, Zhiguo State Key Laboratory of Advanced Rail Autonomous Operation China School of Computer Science and Technology Beijing Jiaotong University Beijing100044 China School of Electronics and Information Engineering Beijing Jiaotong University Beijing100044 China College of Computing and Data Science Nanyang Technological University 639798 Singapore Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi127788 United Arab Emirates
This paper proposes a graph neural network (GNN) enabled power allocation scheme for non-orthogonal multiple access (NOMA) networks. In particular, a downlink scenario with one base station serving multiple users over... 详细信息
来源: 评论
Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
arXiv
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arXiv 2025年
作者: Ma, Chenxiang Chen, Xinyi Li, Yanchen Yang, Qu Wu, Yujie Li, Guoqi Pan, Gang Tang, Huajin Tan, Kay Chen Wu, Jibin Department of Data Science and Artificial Intelligence The Hong Kong Polytechnic University Hong Kong Department of Computing The Hong Kong Polytechnic University Hong Kong Department of Electrical and Computer Engineering National University of Singapore 119077 Singapore Institute of Automation Chinese Academy of Sciences Beijing100045 China State Key Laboratory of Brain-Machine Intelligence College of Computer Science and Technology MOE Frontier Science Center for Brain Science and Brain-Machine Integration Zhejiang University Hangzhou310027 China
Temporal processing is fundamental for both biological and artificial intelligence systems, as it enables the comprehension of dynamic environments and facilitates timely responses. Spiking Neural Networks (SNNs) exce... 详细信息
来源: 评论
Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches
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Soft computing 2025年 第3期29卷 1437-1451页
作者: Saidi, Mohammad Gheibi, Mohammad Ghazikhani, Adel Lotfata, Aynaz Chahkandi, Benyamin Familsamavati, Sajad Behzadian, Kourosh Department of Computer Science Imam Reza International University Mashhad Iran MS of Software Engineering Information and Communication Technology Unit Mashhad Municipality Fire and Safety Services Organization Mashhad Iran Big Data Lab Imam Reza International University Mashhad Iran Institute for Nanomaterials Advanced Technologies and Innovation Technical University of Liberec Liberec46117 Czech Republic Tallinn10615 Estonia Department of Pathology Microbiology and Immunology School of Veterinary Medicine University of California Davis95616 United States Department of Urban and Regional Planning San Jose State University San Jose95192 United States Faculty of Civil and Environmental Engineering Gdansk University of Technology Narutowicza Street 11/12 80-233 Gdansk Poland Tecnologico de Monterrey Escuela de Ingeniería y Ciencias Monterrey Mexico School of Computing and Engineering University of West London London United Kingdom
Accurate and efficient diagnosis of COVID-19 remains a significant challenge due to the limitations of current detection methods, such as blood tests and chest scans, which can be time-consuming and error-prone. This ... 详细信息
来源: 评论
IoT-Enabled Smart Irrigation System with ABiLSTM for Optimized Water Management and Crop Yields
IoT-Enabled Smart Irrigation System with ABiLSTM for Optimiz...
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Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on
作者: Abhay Chaturvedi Praveena Rao Venkata Maruti Prasad S Malini T S. Prabagar K. Bharathi Department of Electronics and Communication Engineering GLA University Mathurai India Department of Civil Engineering Institute of Aeronautical Engineering Hyderabad India Department of BS & H Aditya Institute of Technology & Management Tekkali India Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and Technology Coimbatore India Department of Computer Science and Engineering School of Advanced Computing Alliance University Bangalore India Department of Agricultural Engineering Erode Sengunthar Engineering College Perundurai India
An efficient management of water resources in agriculture is now crucial in light of the growing global population and increased demand for water. Innovative solutions are needed to improve water efficiency since conv... 详细信息
来源: 评论
Improving community-based electricity markets regulation: A holistic multi-objective optimization framework
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Renewable and Sustainable Energy Reviews 2025年 215卷
作者: Costa, V.B.F. Soares, T. Bitencourt, L. Dias, B.H. Deccache, E. Silva, B.M.A. Bonatto, B. Filho, W.F. Faria, A.S. Institute of Electrical Systems and Energy Federal University of Itajuba MG Itajuba37500-903 Brazil Centre for Power and Energy Systems Institute of Systems and Computer Engineering Technology and Science Porto Portugal Electrical Engineering Department Federal Fluminense University RJ Niterói24210-346 Brazil Electrical Energy Department Federal University of Juiz de Fora MG Juiz de Fora36036-900 Brazil Faculty of Engineering of the University of Porto Porto Portugal Faculty of Electrical and Computing Engineering State University of Campinas SP Campinas13083-852 Brazil
Community-based electricity markets, which are defined as groups of members that share common interests in renewable distributed generation, allow prosumers to embrace more active roles by opening up several opportuni... 详细信息
来源: 评论
Tutorial on Using Machine Learning and Deep Learning Models for Mental Illness Detection
arXiv
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arXiv 2025年
作者: Zhang, Yeyubei Wang, Zhongyan Ding, Zhanyi Tian, Yexin Dai, Jianglai Shen, Xiaorui Liu, Yunchong Cao, Yuchen University of Pennsylvania School of Engineering and Applied Science United States New York University Center for Data Science United States Georgia Institute of Technology College of Computing United States University of California Department of EECS Berkeley United States Northeastern University Khoury College of Computer Science United States
Social media has become an important source for understanding mental health, providing researchers a way to detect conditions like depression from user-generated posts. This tutorial provides practical guidance to add... 详细信息
来源: 评论
Efficient or Powerful? Trade-offs Between Machine Learning and Deep Learning for Mental Illness Detection on Social Media
arXiv
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arXiv 2025年
作者: Ding, Zhanyi Wang, Zhongyan Zhang, Yeyubei Cao, Yuchen Liu, Yunchong Shen, Xiaorui Tian, Yexin Dai, Jianglai University of Pennsylvania School of Engineering and Applied Science United States New York University Center for Data Science United States Georgia Institute of Technology College of Computing United States University of California Berkeley Department of EECS United States Northeastern University Khoury College of Computer Science United States
Social media platforms provide valuable insights into mental health trends by capturing user-generated discussions on conditions such as depression, anxiety, and suicidal ideation. Machine learning (ML) and deep learn... 详细信息
来源: 评论
Speech Separation for Low-Resource Languages
Speech Separation for Low-Resource Languages
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Marvin Borsdorf Zexu Pan Pascal Himmelmann Haizhou Li Tanja Schultz Machine Listening Lab University of Bremen Bremen Germany Alibaba Group Singapore Department of Mathematics and Computer Science FernUniversität in Hagen Hagen Germany School of Data Science Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen China Department of Electrical and Computer Engineering National University of Singapore Singapore Cognitive Systems Lab University of Bremen Bremen Germany
Speech separation aims to equip machines with the human ability of selective listening, i.e. to focus attention on specific information in spoken communication. Studies have shown that the language spoken in a cocktai... 详细信息
来源: 评论