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检索条件"机构=Institute of Systems and Computer Engineering: Research and Development"
11939 条 记 录,以下是31-40 订阅
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Exploratory Data Analysis and Algorithmic Comparison for Early Depression Detection  4
Exploratory Data Analysis and Algorithmic Comparison for Ear...
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4th IEEE International Conference on ICT in Business Industry and Government, ICTBIG 2024
作者: Jadhav, Ganesh D. Babar, Sachin D. Mahalle, Parikshit N. SKNCOE- Vadgaon Sppu Pune Department of Computer Engineering Pune India Pune India Research and Development Vishwakarma Institute of Technology Department of Computer Engineering Pune India
Early depression detection is very significant for timely intervention and treatment in mental health. This study introduced an extensive system for the early detection of depression, utilizing basic experimentation a... 详细信息
来源: 评论
An Insight Survey on Sensor Errors and Fault Detection Techniques in Smart Spaces
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computer Modeling in engineering & Sciences 2024年 第3期138卷 2029-2059页
作者: Sheetal Sharma Kamali Gupta DeepaliGupta Shalli Rani Gaurav Dhiman Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab140401India PG Department of Information Technology Goswami Ganesh Dutta Sanatan Dharma CollegeChandigarh160030India Department of Computer Science Government Bikram College of CommercePatialaIndia Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon University Centre for Research and Development Department of Computer Science and EngineeringChandigarh UniversityMohali140413India Department of Computer Science and Engineering Graphic Era Deemed to be UniversityDehradun248002India Division of Research and Development Lovely Professional UniversityPunjab144001India
The widespread adoption of the Internet of Things (IoT) has transformed various sectors globally, making themmore intelligent and connected. However, this advancement comes with challenges related to the effectiveness... 详细信息
来源: 评论
An Instrumental Variable Approach to Functional Network Discovery from Optogenetic Experiments  58
An Instrumental Variable Approach to Functional Network Disc...
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58th Asilomar Conference on Signals, systems and computers, ACSSC 2024
作者: Hajiseyedrazi, S. Pardis Babadi, Behtash Institute for Systems Research University of Maryland Departement of Electrical & Computer Engineering College ParkMD United States
Understanding how networks of neurons transmit information is crucial to uncovering the underlying mechanisms of brain function. A common measure of communication in neuronal networks is functional connectivity. But, ... 详细信息
来源: 评论
Siamese Multiple Attention Temporal Convolution Networks for Human Mobility Signature Identification  27
Siamese Multiple Attention Temporal Convolution Networks for...
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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024
作者: Zheng, Zhipeng Jiang, Yuchen Zhang, Shiyao Wei, Xuetao Research Institute for Trustworthy Autonomous Systems Southern University of Science and Technology Department of Computer Science and Engineering China
The Human Mobility Signature Identification (HuMID) problem stands as a fundamental task within the realm of driving style representation, dedicated to discerning latent driving behaviors and preferences from diverse ... 详细信息
来源: 评论
An Improved Wavelet Denoising Method Based on Acoustic Echo Analysis
An Improved Wavelet Denoising Method Based on Acoustic Echo ...
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2023 IEEE International Conference on Control, Electronics and computer Technology, ICCECT 2023
作者: Gao, Tian Xie, Yuchao Wang, Xingshun Qiu, Liyuan CSSC Systems Engineering Research Institute Beijing China China Ship Research and Development Academy Beijing China
Acoustic echo detection is a method of echo analysis using active acoustic signal. There are a lot of same frequency noises in the echo, the acoustic imaging quality is poor, and the detection effect is greatly affect... 详细信息
来源: 评论
Robust intrusion detection for network communication on the Internet of Things: a hybrid machine learning approach
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Cluster Computing 2024年 第7期27卷 9975-9991页
作者: Soltani, Nasim Rahmani, Amir Masoud Bohlouli, Mahdi Hosseinzadeh, Mehdi Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Future Technology Research Center National Yunlin University of Science and Technology Yunlin Douliu Taiwan Research and Innovation Department Petanux GmbH Bonn Germany Institute of Research and Development Duy Tan University Da Nang Viet Nam Department of Computer Science University of Human Development Sulaymaniyah Iraq
The importance and growth of the Internet of Things (IoT) in computer networks and applications have been increasing. Additionally, many of these applications generate large volumes of data, which are critical and req... 详细信息
来源: 评论
Evolutionary Optimization Methods for High-Dimensional Expensive Problems:A Survey
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IEEE/CAA Journal of Automatica Sinica 2024年 第5期11卷 1092-1105页
作者: MengChu Zhou Meiji Cui Dian Xu Shuwei Zhu Ziyan Zhao Abdullah Abusorrah Department of Electrical and Computer Engineering New Jersey Institute of TechnologyNewarkNJ 07102 USA School of Information and Electronic Engineering Zhejiang Gongshang UniversityHangzhou 310018China School of Intelligent Manufacturing Nanjing University of Science and TechnologyNanjing 210094China Institute of Systems Engineering Macao University of Science and TechnologyMacao 999078China School of Artificial Intelligence and Computer Jiangnan UniversityWuxi 214122China School of Information Science and Engineering Northeastern UniversityShenyang 110819China Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer EngineeringFaculty of EngineeringKing Abdulaziz UniversityJeddah 21589Saudi Arabia K.A.CARE Energy Research and Innovation Center King Abdulaziz UniversityJeddah 21589Saudi Arabia
Evolutionary computation is a rapidly evolving field and the related algorithms have been successfully used to solve various real-world optimization *** past decade has also witnessed their fast progress to solve a cl... 详细信息
来源: 评论
research on extremely weak remanence measurement system  3
Research on extremely weak remanence measurement system
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2023 3rd International Conference on Measurement Control and Instrumentation, MCAI 2023
作者: Xu, Chaoqun Sun, Tian Huang, Kui Xiao, Qi Laboratory of Space Magnetism and Applications Beijing Institute of Spacecraft Environment Engineering Beijing China Department of Science and Technology Development Systems Engineering Research Institute Beijing China
To accurately obtain the extremely weak magnetic field information of the test piece, this article first introduces the basic principles of the extremely weak residual magnetic field measurement technology. Then, an u... 详细信息
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Adaptive Context Based Road Accident Risk Prediction Using Spatio-Temporal Deep Learning
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2024年 第6期5卷 2872-2883页
作者: Bhardwaj, Nishit Pal, Anupriya Bhumika Das, Debasis Indian Institute of Technology Jodhpur Department of Computer Science and Engineering Rajasthan 343020 India Samsung Semiconductor India Research Karnataka560048 India Verint Systems Karnataka560005 India
Traffic accidents are common urban events that pose significant risks to human safety, traffic management, and economic stability;consequently, the research community is paying increasing attention toward accident ris... 详细信息
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IoT Sensor Deployment in the Wildland Urban Interface: Leveraging Fire Risk Analysis  10
IoT Sensor Deployment in the Wildland Urban Interface: Lever...
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10th IEEE World Forum on Internet of Things, WF-IoT 2024
作者: Purcell, Richard Naik, Kshirasagar Zaman, Marzia Lung, Chung-Horng Sampalli, Srinivas Mutakabbir, Abdul Dhindsa, Manavjit Singh Das, Ursula Dalhousie University Faculty of Computer Science HalifaxNS Canada University of Waterloo Electrical and Computer Engineering WaterlooON Canada Research and Development Cistel Technology OttawaON Canada Carleton University Systems and Computer Engineering OttawaON Canada
This paper investigates algorithms for distributing Internet of Things sensors within the Wildland-Urban Interface to enhance early wildland fire detection. Using geospatial data analysis and a validated wildland fire... 详细信息
来源: 评论