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检索条件"机构=Systems and Information Engineering Data Science"
1250 条 记 录,以下是731-740 订阅
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Equilibrium Optimizer with Deep Learning Model for Autism Spectral Disorder Classification
Equilibrium Optimizer with Deep Learning Model for Autism Sp...
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Automation, Computing and Renewable systems (ICACRS), International Conference on
作者: A. Praveena N. Senthamilarasi T. S. Karthik Abirami S.K Vijayakrishna Rapaka E Shyamali Das Department of Computer Science and Engineering Jansons Institute of Technology Karumathampatti Coimbatore Tamilnadu India Department of Information Technology Panimalar Engineering College Chennai Tamilnadu India Department of Electronics and Communication Engineering Aditya College of Engineering and Technology Surampalem Andhrapradesh India Department of Computer Science and Business Systems Sri Eshwar College of Engineering Coimbatore Tamilnadu India Data Science Indian Institute of Technology Madras Chennai Tamilnadu India Department of Computer Science CMR Group of Institutions (SOSS) Bangalore Karnataka India
Autism Spectrum Disorder (ASD) is a developing disorder if the symptoms develop obvious in the initial years of age but it could be present in some age groups. ASD is mental health problem that affects communicational... 详细信息
来源: 评论
Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Learning
Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Lea...
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IEEE International Conference on Industrial Informatics (INDIN)
作者: Weipeng Cao Xuyang Yao Zhiwu Xu Yinghui Pan Yixuan Sun Dachuan Li Bohua Qiu Muheng Wei Guangdong Laboratory of Artificial Intelligence and Digital Economy (Shenzhen) Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Stony Brook University New York United States Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China ZhenDui Industry Artificial Intelligence Co. Ltd Shenzhen China Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China
Realizing Generalized Zero-Shot Learning (GZSL) based on large models is emerging as a prevailing trend. However, most existing methods merely regard large models as black boxes, solely leveraging the features output ... 详细信息
来源: 评论
No Victim Left Behind: Developing a Dual-Use LEO Satellite System for Real-Time Population Mapping and Everyday Connectivity
No Victim Left Behind: Developing a Dual-Use LEO Satellite S...
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International Symposium on Communications and information Technologies (ISCIT)
作者: Takumi Ohashi Futo Noda Takashi Tomura Ampan Laosunthara Koudai Suzuki Yuno Tanaka Maki Kishimoto Rie Seto Hiraku Sakamoto Gia Khanh Tran Atsushi Shirane Department of Transdisciplinary Science and Engineering Tokyo Institute of Technology Tokyo Japan Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Bangkok Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Tokyo Japan Department of Civil and Environmental Engineering Tokyo Institute of Technology Tokyo Japan Department of Architecture and Building Engineering Tokyo Institute of Technology Tokyo Japan Department of Observation & Data Assimilation Meteorological Research Institute Tsukuba Japan Department of Mechanical Engineering Tokyo Institute of Technology Tokyo Japan Institute of Innovative Research Tokyo Institute of Technology Tokyo Japan
Disasters often disrupt communication infrastructure, impeding damage assessment and rescue operations. This paper presents a method for real-time population distribution mapping during disasters using the widespread ... 详细信息
来源: 评论
Optimal kernel choice for score function-based causal discovery  24
Optimal kernel choice for score function-based causal discov...
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Proceedings of the 41st International Conference on Machine Learning
作者: Wenjie Wang Biwei Huang Feng Liu Xinge You Tongliang Liu Kun Zhang Mingming Gong School of Mathematics and Statistics The University of Melbourne Australia and Department of Machine Learning Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates Halicioğlu Data Science Institute (HDSI) University of California San Diego School of Computing and Information Systems The University of Melbourne Australia Huazhong University of Science and Technology China School of Computer Science Faculty of Engineering The University of Sydney Australia Department of Machine Learning Mohamed bin Zayed University of Artificial Intelligence United Arab Emirates and Department of Philosophy Carnegie Mellon University
Score-based methods have demonstrated their effectiveness in discovering causal relationships by scoring different causal structures based on their goodness of fit to the data. Recently, Huang et al. (2018) proposed a...
来源: 评论
TEVA: Training-Efficient and Verifiable Aggregation for Federated Learning for Consumer Electronics in Industry 5.0
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IEEE Transactions on Consumer Electronics 2024年
作者: Xia, Yuanjun Liu, Yining Chen, Jingxue Liang, Yangfan Khan, Fazlullah Alturki, Ryan Wang, Xiaopei Guilin University of Electronic Technology Guangxi Key Laboratory of Trusted Software School of Computer and Information Security Guilin541004 China Wenzhou University of Technology School of Data Science and Artificial Intelligence Wenzhou325027 China University of Technology School of Mathematical and Physical Sciences SydneyNSW2007 Australia Jiaxing University Provincial Key Laboratory of Multimodal Perceiving and Intelligent Systems The Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province The Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province Jiaxing314001 China University of Nottingham Ningbo China School of Computer Science Faculty of Science and Engineering Zhejiang Ningbo315104 China Umm AI-Qura University Makkah Department of Software Engineering College of Computing Saudi Arabia Riverside Department of Computer Science and Engineering University of California CA92521 United States
Federated learning (FL) has been widely used for privacy-preserving model updates in Industry 5.0, facilitated by 6G networks. Despite FL's privacy-preserving advantages, it remains vulnerable to attacks where adv... 详细信息
来源: 评论
A hybrid method to select morphometric features using tensor completion and F-score rank for gifted children identification
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science China(Technological sciences) 2021年 第9期64卷 1863-1871页
作者: ZHANG Jin FENG Fan HAN TianYi DUAN Feng SUN Zhe CAIAFA Cesar F. SOLÉ-CASALS Jordi College of Computer Science Nankai UniversityTianjin 300350China Department of Artificial Intelligence Nankai UniversityTianjin 300350China Computational Engineering Applications Unit Head Office for Information Systems and CybersecurityRIKEN351-0198 SaitamaJapan Instituto Argentino de Radioastronomía-CCT La Plata CONICET/CIC-PBA/UNLP1894 V.ElisaArgentina Department of Psychiatry University of CambridgeCambridge CB20SZUnited Kingdom Data and Signal Processing Group University of Vic-Central University of Catalonia08500 VicCataloniaSpain
Gifted children are able to learn in a more advanced way than others, probably due to neurophysiological differences in the communication efficiency in neural pathways. Topological features contribute to understanding... 详细信息
来源: 评论
A Thousand-Hand Bodhisattva: Emergent Abilities of Artificial General Intelligence Via Single- Objective to Multi-Objective Optimization
SSRN
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SSRN 2024年
作者: Xu, Wendi Ming, Zhang Shengchun, Zheng National Frontier Sciences Center for Industrial Intelligence and Systems Optimization Ministry of Education China College of Information Science and Engineering Northeastern University Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education China Key Laboratory of Data Analytics and Optimization for Smart Industry Ministry of Education China Xinjiang Astronomical Observatory Chinese Academy of Sciences China Key Laboratory for Radio Astronomy Chinese Academy of Sciences Nanjing China University of Chinese Academy of Sciences China Fujian Coastal Environmental Monitoring Station China
Towards artificial general intelligence, emergent abilities of large language models (LLMs) are observed wildly especially for well-known GPTs, which are due to scaling up primarily along three factors: training compu... 详细信息
来源: 评论
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
arXiv
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arXiv 2022年
作者: Zhang, Zhe Ma, Shiyao Yang, Zhaohui Xiong, Zehui Kang, Jiawen Wu, Yi Zhang, Kejia Niyato, Dusit The School of Data Science and Technology Heilongjiang University China The College of Information and Communication Engineering Dalian Minzu University China The Department of Electronic and Electrical Engineering University College London LondonWC1E 6BT United Kingdom The Information Systems Technology and Design Pillar Singapore University of Technology and Design Singapore The Automation School Guangdong University of Technology China The School of Mathematical Science Heilongjiang University China School of Computer Science and Engineering Nanyang Technological University Singapore
Air access networks have been recognized as a significant driver of various Internet of Things (IoT) services and applications. In particular, the aerial computing network infrastructure centered on the Internet of Dr... 详细信息
来源: 评论
MF-CLIP: Leveraging CLIP as Surrogate Models for No-box Adversarial Attacks
arXiv
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arXiv 2023年
作者: Zhang, Jiaming Qiu, Lingyu Yi, Qi Li, Yige Sang, Jitao Xu, Changsheng Yeung, Dit-Yan Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong Department of Mathematics and Applications University of Naples Federico II Naples Italy School of Computing and Information Systems Singapore Management University Singapore School of Computer and Information Technology Beijing Key Laboratory of Traffic Data Analysis and Mining Beijing Jiaotong University Beijing China National Lab of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing100190 China
The vulnerability of Deep Neural Networks (DNNs) to adversarial attacks poses a significant challenge to their deployment in safety-critical applications. While extensive research has addressed various attack scenario... 详细信息
来源: 评论
Nutmeg: a MIP and CP Hybrid Solver Using Branch-and-Check
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Operations Research Forum 2020年 第3期1卷 1-27页
作者: Lam, Edward Gange, Graeme Stuckey, Peter J. Van Hentenryck, Pascal Dekker, Jip J. Department of Data Science and Artificial Intelligence Faculty of Information Technology Monash University Melbourne VIC Australia H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta GA United States
This paper describes the implementation of Nutmeg, a solver that hybridizes mixed integer linear programming and constraint programming using the branch-and-cut style of logic-based Benders decomposition known as bran... 详细信息
来源: 评论