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检索条件"机构=Key Laboratory of Knowledge Engineering with Big Data"
5559 条 记 录,以下是311-320 订阅
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Enhancing Drug-Drug Interaction Prediction by knowledge Graph Embedding  23
Enhancing Drug-Drug Interaction Prediction by Knowledge Grap...
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23rd International Conference on Machine Learning and Cybernetics, ICMLC 2024
作者: Liu, Chao Wang, Xizhao Liu, Qiang Big Data Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518000 China Shenzhen University Guangdong Key Laboratory of Intelligent Information Processing Shenzhen518060 China
Drug-drug interactions (DDIs) refer to the synergistic or antagonistic effects between different drugs. Synergistic effects can enhance therapeutic efficacy, while antagonistic effects may reduce efficacy or even trig... 详细信息
来源: 评论
Domain Adaptation Random Vector Functional Link for White Blood Cell Classification  23
Domain Adaptation Random Vector Functional Link for White Bl...
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23rd International Conference on Machine Learning and Cybernetics, ICMLC 2024
作者: Wang, Qin Wang, Xi-Zhao Big Data Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Shenzhen University The Guangdong Key Laboratory of Intelligent Information Processing Shenzhen518060 China
There's growing recognition of how machine learning can revolutionize the precision and swiftness of clinical diagnoses by improving the classification of white blood cells. However, a machine learning model speci... 详细信息
来源: 评论
DRL-Based Time-Varying Workload Scheduling With Priority and Resource Awareness
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IEEE Transactions on Network and Service Management 2025年 第3期22卷 2838-2852页
作者: Liu, Qifeng Fan, Qilin Zhang, Xu Li, Xiuhua Wang, Kai Xiong, Qingyu Chongqing University School of Big Data and Software Engineering Chongqing400044 China Chongqing University Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education Chongqing400044 China Nanjing University School of Electronic Science and Engineering Nanjing210023 China Haihe Laboratory of Information Technology Application Innovation Tianjin300072 China Harbin Institute of Technology School of Computer Science and Technology Weihai264209 China Shandong Key Laboratory of Industrial Network Security Weihai264209 China
With the proliferation of cloud services and the continuous growth in enterprises' demand for dynamic multi-dimensional resources, the implementation of effective strategy for time-varying workload scheduling has ... 详细信息
来源: 评论
Optimizing Indoor Network Element Layout for Enhanced Signal Coverage and Security in Location-Based Services  7th
Optimizing Indoor Network Element Layout for Enhanced Signa...
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7th International Conference on Attacks and Defenses for Internet-of-Things, ADIoT 2024
作者: Yu, Xiaomin Yu, Xiaokun College of Computer and Control Engineering Qiqihar University Qiqihar China Heilongjiang Key Laboratory of Big Data Network Security Detection and Analysis Qiqihar University Qiqihar China Heilongjiang Jiaotong Polytechnic Qiqihar China
Recently, with the rapid development of communication technology, location-based services (LBS) in indoor environments have penetrated into various aspects of people’s daily lives. Wireless local area networks (WLAN)... 详细信息
来源: 评论
Grasp Control Method for Robotic Manipulator Based on Federated Reinforcement Learning  7
Grasp Control Method for Robotic Manipulator Based on Federa...
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7th International Conference on Advanced Algorithms and Control engineering, ICAACE 2024
作者: Wang, Yue Zhong, Shida Yuan, Tao College Of Electronics And Information Engineering Shenzhen University State Key Laboratory Of Radio Frequency Heterogeneous Integration Shenzhen China Shenzhen University Guangdong-Hong Kong Joint Laboratory For Big Data Imaging And Communication Shenzhen China
With development of mobile edge computing (MEC) and the Artificial Intelligent Internet of Things (AIoT), how to use intelligent devices to better apply to industrial scenarios has become a critical factor in promotin... 详细信息
来源: 评论
Local and Global Feature-Aware Dual-Branch Networks for Plant Disease Recognition
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植物表型组学(英文) 2024年 第4期6卷 828-840页
作者: Jianwu Lin Xin Zhang Yongbin Qin Shengxian Yang Xingtian Wen Tomislav Cernava Quirico Migheli Xiaoyulong Chen Text Computing & Cognitive Intelligence Engineering Research Center of National Education Ministry College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China College of Big Data and Information Engineering Guizhou UniversityGuiyang 550025China Guizhou-Europe Environmental Biotechnology and Agricultural Informatics Oversea Innovation Center in Guizhou University Guizhou Provincial Science and Technology DepartmentGuiyang 550025China Text Computing & Cognitive Intelligence Engineering Research Center of National Education Ministry College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China State Key Laboratory of Public Big Data College of Computer Science and TechnologyGuizhou UniversityGuiyang 550025China College of Big Data and Information Engineering Guizhou UniversityGuiyang 550025China Guizhou-Europe Environmental Biotechnology and Agricultural Informatics Oversea Innovation Center in Guizhou University Guizhou Provincial Science and Technology DepartmentGuiyang 550025China College of Big Data and Information Engineering Guizhou UniversityGuiyang 550025China School of Biological Sciences Faculty of Environmental and Life SciencesUniversity of SouthamptonSouthampton S017 1BJUK Dipartimento di Agraria and NRD-Nucleo di Ricerca sulla Desertificazione Università degli Studi di SassariSassariItaly Guizhou-Europe Environmental Biotechnology and Agricultural Informatics Oversea Innovation Center in Guizhou University Guizhou Provincial Science and Technology DepartmentGuiyang 550025China College of Life Sciences Guizhou UniversityGuiyang 550025China
Accurate identification of plant diseases is important for ensuring the safety of agricultural *** neural networks(CNNs)and visual transformers(VTs)can extract effective representations of images and have been widely ... 详细信息
来源: 评论
Resilient multi-objective mission planning for UAV formation:A unified framework integrating task pre-and re-assignment
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Defence Technology(防务技术) 2025年 第3期45卷 203-226页
作者: Xinwei Wang Xiaohua Gao Lei Wang Xichao Su Junhong Jin Xuanbo Liu Zhilong Deng Department of Engineering Mechanics State Key Laboratory of Structural AnalysisOptimization and CAE Software for Industrial EquipmentDalian University of TechnologyDalianLiaoning 116024China School of Mathematics and Big Data Anhui University of Science and TechnologyHuainanAnhui 232001China School of Mathematical Science Dalian University of TechnologyDalianLiaoning 116024China Department of Airborne Vehicle Engineering Naval Aeronautical and Astronautical UniversityYantai 264001China
Combat effectiveness of unmanned aerial vehicle(UAV)formations can be severely affected by the mission execution *** the practical execution phase,there are inevitable risks where UAVs being destroyed or targets faile... 详细信息
来源: 评论
An overview on IRS-enabled sensing and communications for 6G: architectures, fundamental limits, and joint beamforming designs
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Science China(Information Sciences) 2025年 第5期68卷 170-193页
作者: Xianxin SONG Yuan FANG Feng WANG Zixiang REN Xianghao YU Ye ZHANG Fan LIU Jie XU Derrick Wing Kwan NG Rui ZHANG Shuguang CUI School of Science and Engineering (SSE) Shenzhen Future Network of Intelligence Institute (FNii-Shenzhen)and Guangdong Provincial Key Laboratory of Future Networks of Intelligence The Chinese University of Hong Kong Department of Electrical Engineering City University of Hong Kong School of Information Engineering Guangdong University of Technology Key Laboratory of Wireless-Optical Communications Chinese Academy of Sciences School of Information Science and Technology University of Science and Technology of China Computer School Beijing Information Science and Technology University National Mobile Communications Research Laboratory School of Information Science and Engineering Southeast University School of Electrical Engineering and Telecommunications University of New South Wales School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Department of Electrical and Computer Engineering National University of Singapore
This study presents an overview on intelligent reflecting surface(IRS)-enabled sensing and communication for the forthcoming sixth-generation(6G) wireless networks, in which IRSs are strategically deployed to proactiv... 详细信息
来源: 评论
PentraFormer: Learning Agents for Automated Penetration Testing via Sequence Modeling  17
PentraFormer: Learning Agents for Automated Penetration Test...
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IEEE Congress on Cybermatics: 17th IEEE International Conference on Internet of Things, iThings 2024, 20th IEEE International Conference on Green Computing and Communications, GreenCom 2024, 17th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2024, 10th IEEE International Conference on Smart data, Smartdata 2024
作者: Wang, Yunfei Liu, Shixuan Wang, Wenhao Zhu, Cheng Fan, Changjun Huang, Kuihua Chen, Chao National University of Defense Technology National Key Laboratory of Information Systems Engineering Changsha China National University of Defense Technology Laboratory for Big Data and Decision Changsha China National University of Defense Technology Changsha China
The exponential growth of computer networks has intensified the requirement for robust security measures, rendering penetration testing - an essential practice that assesses vulnerabilities by simulating attacks - cri... 详细信息
来源: 评论
DSAFF-Net:A Backbone Network Based on Mask R-CNN for Small Object Detection
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Computers, Materials & Continua 2023年 第2期74卷 3405-3419页
作者: Jian Peng Yifang Zhao Dengyong Zhang Feng Li Arun Kumar Sangaiah Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and TechnologyChangsha410114China School of Computer and Communication Engineering Changsha University of Science and TechnologyChangsha410114China School of Computing Science and Engineering Vellore Institute of Technology(VIT)Vellore632014India
Recently,object detection based on convolutional neural networks(CNNs)has developed *** backbone networks for basic feature extraction are an important component of the whole detection ***,we present a new feature ext... 详细信息
来源: 评论