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检索条件"机构=School of Computer Science and System Engineering"
4339 条 记 录,以下是201-210 订阅
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Quality-Oriented Task Assignment for Heterogeneous Users in Mobile Crowdsensing  26
Quality-Oriented Task Assignment for Heterogeneous Users in ...
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26th International Conference on computer Supported Cooperative Work in Design, CSCWD 2023
作者: Chen, Kang Li, Peng Huang, Weiyi Nie, Lei Bao, Haizhou Liu, Qin Wuhan University of Science and Technology School of Computer Science and Technology China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System China Wuhan University School of Cyber Science and Engineering China
Mobile crowdsensing (MCS) is a potential technology for large-scale data collection. This technology requires the platform to recruit users to complete tasks in specific areas. A vital issue in MCS is task assignment,... 详细信息
来源: 评论
Up to 320-GBaud Coherent Optical system Based on Broadband Segmented TFLN I/Q Modulator
Up to 320-GBaud Coherent Optical System Based on Broadband S...
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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on Information Photonics and Optical Communications, IPOC 2024
作者: Zhou, Lingjun Fang, Xiansong Zhu, Yixiao Zhu, Junbo Li, Yunchen Nie, Xiaomin Zhou, Xian Yang, Chuanchuan Wang, Lei Hu, Weisheng Li, Ke He, Zhixue Zhang, Fan School of Electronic and Computer Engineering Peking University Shenzhen China Peng Cheng Laboratory Shenzhen China State Key Laboratory of Advanced Optical Communication System and Networks School of Electronics Peking University Beijing China State Key Laboratory of Advanced Optical Communication System and Networks Shanghai Jiao Tong University Shanghai China School of Computer & Communication Engineering University of Science and Technology Beijing Beijing China
We demonstrate the record 320-GBd single-polarization QPSK and 300-GBd dual-polarization QPSK signal generation and intradyne coherent detection. This result is achieved with a novel broadband segmented TFLN I/Q modul... 详细信息
来源: 评论
An Adaptive Deep Learning Model for Crop Yield Prediction  2
An Adaptive Deep Learning Model for Crop Yield Prediction
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2nd International Conference on computer, Communication and Control, IC4 2024
作者: Gadupudi, Ashwin Rani, Rudra Yamini Jayaram, B. Sharma, Nipun Deshmukh, Jotiram Krishna Reddy, Pundru Chandra Shaker California State University Computer Science Fresno United States Vnr Vignana Jyothi Institute of Engineering and Technology Information Technology Hyderabad India Rmk Engineering College Computer Science and Business System Tamil Nadu Kavaraipettai India Presidency University Electronics and Communication Engineering Karnataka Bangalore India Bharati Vidyapeeth College of Engineering Instrumentation Engineering Navi Mumbai India Sr University School of Computer Science and Artificial Intelligence Telangana Warangal506371 India
Agriculture is the study and practice of raising plants and animals for human consumption. Approximately 60.45% of India's land is devoted to farming, making it the country's second largest economic sector. Ag... 详细信息
来源: 评论
Stock Monitoring and Localization systems for FIFO Method Using RFID Based Pressure Sensing Tag and AI
IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and systems 2024年 第9期144卷 894-900页
作者: Hadi, Danang Kumara Song, Zequn Rahmadya, Budi Sun, Ran Takeda, Shigeki Graduate School of Science and Engineering Ibaraki University 4-12-1 Nakanarusawa Ibaraki Hitachi316-8511 Japan Department of Agroindustrial Technology Universitas Muhammadiyah Jember Jember68124 Indonesia Computer System Department Faculty of Information Technology Andalas University Padang25175 Indonesia
This research introduces real-time monitoring and localizing product stock using the First-In-First-Out (FIFO) method with radio frequency identification (RFID) pressure sensing tags. The proposed FIFO system has RFID... 详细信息
来源: 评论
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities  24
On the Effectiveness of Function-Level Vulnerability Detecto...
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44th ACM/IEEE International Conference on Software engineering, ICSE 2024
作者: Li, Zhen Wang, Ning Zou, Deqing Li, Yating Zhang, Ruqian Xu, Shouhuai Zhang, Chao Jin, Hai Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security Cluster and Grid Computing Lab National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Hong Kong Jin YinHu Laboratory Wuhan China School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan China University of Colorado Colorado Springs Department of Computer Science Colorado Springs Colorado United States Institute for Network Sciences and Cyberspace Tsinghua University Beijing China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China
Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a program function as a whole, known as ... 详细信息
来源: 评论
SAM-COD+: SAM-Guided Unified Framework for Weakly-Supervised Camouflaged Object Detection
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IEEE Transactions on Circuits and systems for Video Technology 2025年 第5期35卷 4635-4647页
作者: Chen, Huafeng Wei, Pengxu Guo, Guangqian Gao, Shan Northwestern Polytechnical University Unmanned System Research Institute Xi’an710072 China National Key Laboratory of Unmanned Aerial Vehicle Technology Xi’an710072 China Sun Yat-sen University School of Computer Science and Engineering Guangzhou510006 China Peng Cheng Laboratory Shenzhen518066 China
Most Camouflaged Object Detection (COD) methods heavily rely on mask annotations, which are time-consuming and labor-intensive to acquire. Existing weakly-supervised COD approaches exhibit significantly inferior perfo... 详细信息
来源: 评论
Improved Density Peaking Algorithm for Community Detection Based on Graph Representation Learning
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computer systems science & engineering 2022年 第12期43卷 997-1008页
作者: Jiaming Wang Xiaolan Xie Xiaochun Cheng Yuhan Wang Guangxi Key Laboratory of Embedded Technology and Intelligent System Guilin541006GuangxiChina School of Information Science and Engineering Guilin University of TechnologyGuilin541006GuangxiChina Department of Computer Science Middlesex UniversityLondon
There is a large amount of information in the network data that we canexploit. It is difficult for classical community detection algorithms to handle network data with sparse topology. Representation learning of netw... 详细信息
来源: 评论
Estimating Person Location in Bathroom with Spatial Ultrasound and Variational autoencoder
Estimating Person Location in Bathroom with Spatial Ultrasou...
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2023 IEEE International Ultrasonics Symposium, IUS 2023
作者: Sato, Shun Yasuda, Yuto Ohara, Ryotaro Hamabe, Riku Genda, Takayuki Imanaka, Shoya Izumi, Shintaro Kawaguchi, Hiroshi Kobe University Graduate School of System Informatics Kobe Japan Kobe University Department of Computer Science and Systems Engineering Kobe Japan Kobe University Graduate School of Science Technology and Innovation Kobe Japan
In bathrooms, a fall can lead to severe injuries or even drowning. While taking preventive measures against such accidents is crucial, it's equally important to swiftly detect and request rescue when they occur. I... 详细信息
来源: 评论
Transferable Features from 1D-Convolutional Network for Industrial Malware Classification
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computer Modeling in engineering & sciences 2022年 第2期130卷 1003-1016页
作者: LiweiWang Jiankun Sun Xiong Luo Xi Yang School of Computer and Communication Engineering University of Science and Technology BeijingBeijing100083China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing100083China Shunde Graduate School University of Science and Technology BeijingFoshan528399China Beijing Intelligent Logistics System Collaborative Innovation Center Beijing101149China
With the development of information technology,malware threats to the industrial system have become an emergent issue,since various industrial infrastructures have been deeply integrated into our modern works and *** ... 详细信息
来源: 评论
FDGLib: A Communication Library for Efficient Large-Scale Graph Processing in FPGA-Accelerated Data Centers
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Journal of computer science & Technology 2021年 第5期36卷 1051-1070页
作者: Yu-Wei Wu Qing-Gang Wang Long Zheng Xiao-Fei Liao Hai Jin Wen-Bin Jiang Ran Zheng Kan Hu National Engineering Research Center for Big Data Technology and System School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Services Computing Technology and System Laboratory School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Cluster and Grid Computing Laboratory School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China
With the rapid growth of real-world graphs,the size of which can easily exceed the on-chip(board)storage capacity of an accelerator,processing large-scale graphs on a single Field Programmable Gate Array(FPGA)becomes ... 详细信息
来源: 评论