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检索条件"机构=Knowledge and Data Engineering Group Computer Science Department"
1132 条 记 录,以下是281-290 订阅
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Swarm Intelligence with Adaptive Neuro-Fuzzy Inference System-Based Routing Protocol for Clustered Wireless Sensor Networks
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Computational Intelligence and Neuroscience 2022年 第0期2022卷 7940895页
作者: A-Matarneh, Feras Mohammed Alqaralleh, Bassam A. Y. Aldhaban, Fahad Alqaralleh, Esam A. Kumar, Anil Gupta, Deepak Joshi, Gyanendra Prasad Department of Computer Science University College of Duba University of Tabuk Tabuk71491 Saudi Arabia MIS Department College of Business Administration University of Business and Technology Jeddah21448 Saudi Arabia School of Engineering Princess Sumaya University for Technology Amman11941 Jordan Data Science Research Group School of Computing DIT University Dehradun India Department of Computer Science & Engineering Maharaja Agrasen Institute of Technology Delhi India Department of Computer Science and Engineering Sejong University Seoul05006 Korea Republic of
Wireless sensor network (WSN) comprises numerous compact-sized sensor nodes which are linked to one another. Lifetime maximization of WSN is considered a challenging problem in the design of WSN since its energy-limit... 详细信息
来源: 评论
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN
arXiv
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arXiv 2023年
作者: Chatterjee, Soumick Tummala, Pavan Speck, Oliver Nürnberger, Andreas Faculty of Computer Science Otto von Guericke University Magdeburg Germany Data and Knowledge Engineering Group Otto von Guericke University Magdeburg Germany Biomedical Magnetic Resonance Otto von Guericke University Magdeburg Germany German Center for Neurodegenerative Disease Magdeburg Germany Center for Behavioral Brain Sciences Magdeburg Germany
Neural networks, especially convolutional neural networks (CNN), are one of the most common tools these days used in computer vision. Most of these networks work with real-valued data using real-valued features. Compl... 详细信息
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Acupuncture State Detection at Zusanli (ST-36) Based on Scalp EEG and Transformer
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IEEE Journal of Biomedical and Health Informatics 2025年 第6期29卷 4023-4034页
作者: Wenhao Rao Meiyan Xu Haochen Wang Weicheng Hua Jiayang Guo Yongheng Zhang Haibin Zhu Ziqiu Zhou Jiawei Xiong Jianbin Zhang Yijie Pan Peipei Gu Duo Chen School of Artificial Intelligence and Information Technology Nanjing University of Chinese Medicine Nanjing China Department of Computer Science and the Institute of Human Factors Engineering Minnan Normal University Zhangzhou China National Institute for Data Science in Health and Medicine Xiamen University Xiamen China China Mobile Group Jiangsu Company Ltd Sihong Branch Suqian China Second Affiliated Hospital of Nanjing University of Chinese Medicine Nanjing University of Chinese Medicine Nanjing China Department of Computer Science and Technology Tsinghua University Beijing China Eastern Institute for Advanced Study Eastern Institute of Technology Ningbo China College of Software Engineering Zhengzhou University of Light Industry Zhengzhou China
In clinical acupuncture practice, needle twirling (NT) and needle retention (NR) are strategically combined to achieve different therapeutic effects, highlighting the importance of distinguishing between different acu... 详细信息
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Out-of-Distribution Detection by Principal Component Correspondence
Out-of-Distribution Detection by Principal Component Corresp...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Xiaoyuan Guan Zhiyong Gan Ling Deng Wei Shi Jiankang Chen Shenshen Bu Chunliang Zhao Jianfang Hu Yuren Zhou Wei-Shi Zheng Ruixuan Wang School of Computer Science and Engineering Sun Yat-Sen University Guangzhou China Key Laboratory of Machine Intelligence and Advanced Computing MOE Guangzhou China Network Business Group China Unicom Guangzhou China Department of Network Intelligence Pengcheng Laboratory Shenzhen China School of Data and Science Qingdao University of Science and Technology Qingdao China School of Software Engineering Sun Yat-Sen University Zhuhai China
Out-of-distribution (OOD) detection is vital for the safe application of intelligent systems in real-world scenarios. This paper proposes an enhancement to OOD detection by leveraging the consistency in cognition betw... 详细信息
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Sherlock in OSS: A Novel Approach of Content-Based Searching in Object Storage System
arXiv
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arXiv 2023年
作者: Noor, Jannatun Ratul, Rizwanul Haque Uday, Mir Rownak Ali Mondal, Joyanta Jyoti Sakif, Md. Sadiqul Islam Islam, A.B.M. Alim Al The Department of CSE Bangladesh University of Engineering and Technology Dhaka Bangladesh Research Group School of Data and Sciences BRAC University Dhaka Bangladesh C2SG Research Group Optimizely Dhaka Bangladesh C2SG Research Group Bangladesh The Department of Computer Science University of Alabama Birmingham United States mPower-Social Enterprise Dhaka Bangladesh Next-generation Computing Research Group Department of CSE Bangladesh University of Engineering and Technology Dhaka Bangladesh
Object Storage Systems (OSS) inside a cloud promise scalability, durability, availability, and concurrency. However, open-source OSS does not have a specific approach to letting users and administrators search based o... 详细信息
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Accustomed Frequency in 5G: Cognitive Broadcasting Technologies
Accustomed Frequency in 5G: Cognitive Broadcasting Technolog...
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Communication, Computing and Energy Efficient Technologies (I3CEET), International Conference on
作者: M.B Marasulov Alka Gangrade Sumanpreet Kaur Aasheesh Shukla Haider Alabdeli B. Lanitha Department of Physics and Chemistry Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University Tashkent Uzbekistan Institute of Polymer Chemistry and Physics Tashkent Uzbekistan Western Caspian University Scientific Researcher Baku Azerbaijan Department of Computer Science & Engineering IES College of Technology Bhopal M.P. India Department of Computer Science Engineering Chandigarh Engineering College Chandigarh Group of Colleges Jhanjeri Mohali Punjab India Department of Electronics and Communication Engineering GLA University Mathura India Department of Computers Techniques Engineering College of Technical Engineering The Islamic University Najaf Iraq Department of Computers Techniques Engineering College of Technical Engineering The Islamic University of Al Diwaniyah Al Diwaniyah Iraq Department of Artificial Intelligence and Data Science Karpagam Academy of Higher Education Coimbatore India
Traffic loads have dramatically grown as a result of the small-cell / Internet of Everything devices' increasing popularity. The present network has undergone a revolution with this expansion, transforming it into... 详细信息
来源: 评论
A Survey on Fairness in Large Language Models
arXiv
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arXiv 2023年
作者: Li, Yingji Du, Mengnan Song, Rui Wang, Xin Wang, Ying College of Computer Science and Technology Jilin University Changchun130012 China Department of Data Science New Jersey Institute of Technology Newark United States School of Artificial Intelligence Jilin University Changchun130012 China Key Laboratory of Symbol Computation and Knowledge Engineering Jilin University Ministry of Education Changchun130012 China
Large Language Models (LLMs) have shown powerful performance and development prospects and are widely deployed in the real world. However, LLMs can capture social biases from unprocessed training data and propagate th... 详细信息
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Audio Segmentation Techniques and Applications Based on Deep Learning
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Scientific Programming 2022年 第0期2022卷
作者: Aggarwal, Shruti Vasukidevi, G. Selvakanmani, S. Pant, Bhaskar Kaur, Kiranjeet Verma, Amit Binegde, Geleta Negasa Department of Computer Science and Engineering Thapar University Punjab Patiala147004 India Department of Science and Humanities R.M.K. College of Engineering and Technology R.S.M. Nagar Tamil Nadu Puduvoyal India Department of Artificial Intelligence and Data Science Velammal Institute of Technology Velammal Knowledge Park Tamil Nadu Chennai India Department of Computer Science and Engineering Graphic Era Deemed to be University Bell Road Clement Town Uttarakhand Dehradun248002 India University Center for Research and Development Chandigarh University Punjab Ajitgarh India Department of Computer Science College of Engineering and Technology Mettu University Metu Ethiopia
Audio processing has become an inseparable part of modern applications in domains ranging from health care to speech-controlled devices. In automated audio segmentation, deep learning plays a vital role. In this artic... 详细信息
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Block-Structured Optimization for Subgraph Detection in Interdependent Networks
arXiv
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arXiv 2022年
作者: Jie, Fei Wang, Chunpai Chen, Feng Li, Lei Wu, Xindong Key Laboratory of Knowledge Engineering with Big Data Hefei University of Technology Ministry of Education Hefei China School of Computer Science and Information Engineering Hefei University of Technology Hefei China Department of Computer Science University at Albany – SUNY AlbanyNY United States Erik Jonsson School of Engineering & Computer Science The University of Texas at Dallas DallasTX United States Mininglamp Academy of Sciences Mininglamp Technologies Beijing China Institute of Big Knowledge Science Hefei University of Technology Hefei China
We propose a generalized framework for block-structured nonconvex optimization, which can be applied to structured subgraph detection in interdependent networks, such as multi-layer networks, temporal networks, networ... 详细信息
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Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
arXiv
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arXiv 2024年
作者: Bassi, Pedro R.A.S. Li, Wenxuan Tang, Yucheng Isensee, Fabian Wang, Zifu Chen, Jieneng Chou, Yu-Cheng Roy, Saikat Kirchhoff, Yannick Rokuss, Maximilian Huang, Ziyan Ye, Jin He, Junjun Wald, Tassilo Ulrich, Constantin Baumgartner, Michael Maier-Hein, Klaus H. Jaeger, Paul Ye, Yiwen Xie, Yutong Zhang, Jianpeng Chen, Ziyang Xia, Yong Xing, Zhaohu Zhu, Lei Sadegheih, Yousef Bozorgpour, Afshin Kumari, Pratibha Azad, Reza Merhof, Dorit Shi, Pengcheng Ma, Ting Du, Yuxin Bai, Fan Huang, Tiejun Zhao, Bo Wang, Haonan Li, Xiaomeng Gu, Hanxue Dong, Haoyu Yang, Jichen Mazurowski, Maciej A. Gupta, Saumya Wu, Linshan Zhuang, Jiaxin Chen, Hao Roth, Holger Xu, Daguang Blaschko, Matthew B. Decherchi, Sergio Cavalli, Andrea Yuille, Alan L. Zhou, Zongwei Department of Computer Science Johns Hopkins University United States Department of Pharmacy and Biotechnology University of Bologna Italy Center for Biomolecular Nanotechnologies Istituto Italiano di Tecnologia Italy NVIDIA United States Germany Germany ESAT-PSI KU Leuven Belgium Faculty of Mathematics and Computer Science Heidelberg University Germany HIDSS4Health - Helmholtz Information and Data Science School for Health Germany Shanghai Jiao Tong University China Shanghai Artificial Intelligence Laboratory China Pattern Analysis and Learning Group Department of Radiation Oncology Heidelberg University Hospital Germany DKFZ Germany School of Computer Science and Engineering Northwestern Polytechnical University China Australian Institute for Machine Learning The University of Adelaide Australia College of Computer Science and Technology Zhejiang University China Hong Kong University of Science and Technology Guangzhou China Hong Kong University of Science and Technology Hong Kong Faculty of Informatics and Data Science University of Regensburg Germany Faculty of Electrical Engineering and Information Technology RWTH Aachen University Germany Fraunhofer Institute for Digital Medicine MEVIS Germany Electronic & Information Engineering School Harbin Institute of Technology Shenzhen China China The Chinese University of Hong Kong Hong Kong Peking University China Department of Electrical and Computer Engineering Duke University United States Stony Brook University United States Department of Computer Science and Engineering Department of Chemical and Biological Engineering Division of Life Science Hong Kong University of Science and Technology Hong Kong Data Science and Computation Facility Fondazione Istituto Italiano di Tecnologia Italy Ecole Polytechnique Fédérale de Lausanne Switzerland
How can we test AI performance? This question seems trivial, but it isn’t. Standard benchmarks often have problems such as in-distribution and small-size test sets, oversimplified metrics, unfair comparisons, and sho... 详细信息
来源: 评论