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检索条件"机构=Computer Science and Engineering and Cognitive Science Program"
7292 条 记 录,以下是101-110 订阅
排序:
Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning  25
Predicting Trust In Autonomous Vehicles: Modeling Young Adul...
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Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems
作者: Robert A Kaufman Emi Lee Manas Satish Bedmutha David Kirsh Nadir Weibel Cognitive Science University of California San Diego La Jolla California USA University of California San Diego La Jolla California USA UC San Diego La Jolla California USA Cognitive Science University of California San Diego San Diego California USA Computer Science and Engineering & The Design Lab UC San Diego La Jolla California USA
来源: 评论
The Robustness of Structural Features in Species Interaction Networks
arXiv
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arXiv 2025年
作者: Fard, Sanaz Hasanzadeh Dolson, Emily Department of Computer Science and Engineering Michigan State University United States Program in Ecology Evolution and Behavior Michigan State University United States
Species interaction networks are a powerful tool for describing ecological communities;they typically contain nodes representing species, and edges representing interactions between those species. For the purposes of ... 详细信息
来源: 评论
Momentum-Based Distributed Economic Dispatch of Smart Grids in Time-Varying Directed Networks
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IEEE Transactions on Network science and engineering 2025年
作者: Zhang, Keke Lu, Qingguo Zhou, Qixing Li, Huaqing Xia, Dawen Huang, Tingwen Chongqing University College of Computer Science China Southwest University College of Electronic and Information Engineering China Kaili University College of Microelectronics and Artificial Intelligence College of Big Data Engineering China Texas A&M University at Qatar Science Program Doha23874 Qatar
In this paper, we investigate the economic dispatch problem of smart grids in time-varying directed networks. The EDP essentially revolves around optimizing the distribution of generation power amongst multiple genera... 详细信息
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Emotion Recognition by Learning the Manifold of Fused Multiscale Information of EEG Signals
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IEEE Transactions on Affective Computing 2025年
作者: Li, Cunbo Zhang, Shuhan Mu, Yufeng Yang, Lei Peng, Yueheng Li, Fali Zhang, Yangsong Liang, Zhen Cao, Zehong Wan, Feng Yao, Dezhong Li, Peiyang Xu, Peng University of Electronic Science and Technology of China Clinical Hospital of Chengdu Brain Science Institute MOE Key Lab for Neuroinformation School of Life Science and Technology Chengdu610054 China University of Macau Centre for Cognitive and Brain Sciences Institute of Collaborative Innovation China Southwest University of Science and Technology School of Computer Science and Technology Mianyang621010 China Shenzhen University School of Biomedical Engineering Medical School Shenzhen518060 China Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging Shenzhen518060 China University of South Australia STEM Mawson Lakes Campus AdelaideSA5095 Australia School of Computer Science University of Technology Sydney Australia University of Macau Department of Electrical and Computer Engineering Faculty of Science and Technology Centre for Cognitive and Brain Sciences Institute of Collaborative Innovation China Chongqing University of Posts and Telecommunications School of Bioinfomatics Chongqing400065 China
Recent research has consistently indicated that the fusion of electroencephalography (EEG) features from multiple modalities can integrate cognitive state expressions across diverse dimensions, resulting in a substant... 详细信息
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LESA: Learnable LLM Layer Scaling-Up
arXiv
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arXiv 2025年
作者: Yang, Yifei Cao, Zouying Ma, Xinbei Yao, Yao Qin, Libo Chen, Zhi Zhao, Hai Department of Computer Science and Engineering Shanghai Jiao Tong University China Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Shanghai Jiao Tong University China Shanghai Key Laboratory of Trusted Data Circulation and Governance in Web3 China School of Computer Science and Engineering Central South University China ByteDance China
Training Large Language Models (LLMs) from scratch requires immense computational resources, making it prohibitively expensive. Model scaling-up offers a promising solution by leveraging the parameters of smaller mode... 详细信息
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MCT-Net: a multi-branch hybrid CNN-transformer model for medical image segmentation
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Pattern Analysis and Applications 2025年 第2期28卷 1-21页
作者: Shen, Longfeng Diao, Liangjin Peng, Rui Chen, Jiacong Lu, Zhengtian Ge, Fangzhen Anhui Engineering Research Center for Intelligent Computing and Application on Cognitive Behavior (ICACB) College of Computer Science and Technology Huaibei Normal University Huaibei China Institute of Artificial Intelligence Hefei Comprehensive National Science Center Hefei China Anhui Big-Data Research Center on University Management Huaibei Normal University Huaibei China
In recent years, neural networks have demonstrated substantial progress in medical image segmentation. However, accurately segmenting objects in medical images is often restricted by edge blurring, which complicates t...
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Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems
arXiv
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arXiv 2025年
作者: Ramachandruni, Vasista Reddy Nara, Sai Hruday Lalu, Geo Yang, Sabrina Kumar, Mohit Ramesh Jain, Aarjav Mehta, Pratham Koo, Hankyu Damonte, Jason Akl, Marx Department of Computer Science and Engineering Aspiring Scholars Directed Research Program 46249 Warm Springs Blvd. FremontCA94539 United States
A chaotic system is a highly volatile system characterized by its sensitive dependence on initial conditions and outside factors. Chaotic systems are prevalent throughout the world today: in weather patterns, disease ... 详细信息
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Development of Charge Integrator Circuits with a Microcontroller for Cylindrical Capacitive Sensors in Paddy Moisture Balance Detectors
Development of Charge Integrator Circuits with a Microcontro...
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International Electrical engineering Congress (iEECON)
作者: Sudarat Tokampang Nattapong Apirattanon Noppadon Sisuk Anucha Kaewpoonsuk Deparment of Physics Faculty of Science Naresuan University Phitsanulok Thailand Program of Computer Engineering Faculty of Industrial Technology Phibunsongkhram Rajabhat University Phitsanulok Thailand
This article presents a method for indirectly measuring the moisture content of paddy using a cylindrical capacitive sensor combined with Charge Integrator Circuits. The moisture measurement device operates based on t... 详细信息
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Convergence of energy-based learning in linear resistive networks
arXiv
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arXiv 2025年
作者: Huijzer, Anne-Men Chaffey, Thomas Besselink, Bart van Waarde, Henk J. Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen Groningen Netherlands CogniGron - Groningen Cognitive Systems and Materials Center Netherlands Control Group Department of Engineering University of Cambridge United Kingdom School of Electrical and Computer Engineering University of Sydney Australia
Energy-based learning algorithms are alternatives to backpropagation and are well-suited to distributed implementations in analog electronic devices. However, a rigorous theory of convergence is lacking. We make a fir... 详细信息
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Overlapped Error Correction Codes in Two-Dimensional Structures
Overlapped Error Correction Codes in Two-Dimensional Structu...
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IEEE Latin American Symposium on Circuits and Systems (LASCAS)
作者: Andrew Fritsch Wagner Savaris Adahil Muniz Giovanna Borba Rodrigo Girardi Jarbas Silveira César Marcon Graduate Program in Computer Science (PPGCC) Pontifical Catholic University of Rio Grande do Sul (PUCRS) Brazil Graduate Program in Teleinformatics Engineering (PPGETI) Federal University of Ceará (UFC) Brazil
The continuous advancement of communication systems necessitates the development of algorithms capable of identifying and correcting errors that may arise during data transmission and storage. This pursuit of reliabil... 详细信息
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