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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71-80 订阅
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LEGF-DST:LLMs-Enhanced Graph-Fusion Dual-Stream Transformer for Fine-Grained Chinese Malicious SMS Detection
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computers, Materials & Continua 2025年 第2期82卷 1901-1924页
作者: Xin Tong Jingya Wang Ying Yang Tian Peng Hanming Zhai Guangming Ling School of Information and Cybersecurity People’s Public Security University of ChinaBeijing100038China Cyber Investigation Technology Research and Development Center The Third Research Institute of the Ministry of Public SecurityShanghai201204China Department of Cybersecurity Defense Beijing Police CollegeBeijing102202China School of Computer Science Henan Institute of EngineeringZhengzhou451191China
With the widespread use of SMS(Short Message Service),the proliferation of malicious SMS has emerged as a pressing societal *** deep learning-based text classifiers offer promise,they often exhibit suboptimal performa... 详细信息
来源: 评论
Enhanced Small Ship Detection Method for Unmanned Surface Navigation Using the Divide and Conquer Approach and ByteTrack
Enhanced Small Ship Detection Method for Unmanned Surface Na...
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2024 International Conference on Electronics, Information, and Communication, ICEIC 2024
作者: Lee, Junhee You, Jisang Jhang, Kyoungson Ground Technology Research Institute Agency for Defense Development Daejeon Korea Republic of Chungnam National University Department of Computer Institute Science and Engineering Daejeon Korea Republic of
Ship detection is a fundamental technology in autonomous navigation for Unmanned Surface Vehicle(USV). Deep learning-based object detection models are commonly employed for ship detection. However, they have limitatio... 详细信息
来源: 评论
Smart Grid Security Framework for Data Transmissions with Adaptive Practices Using Machine Learning Algorithm
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computers, Materials & Continua 2025年 第3期82卷 4339-4369页
作者: Shitharth Selvarajan Hariprasath Manoharan Taher Al-Shehari Hussain Alsalman Taha Alfakih School of Built Environment Engineering and ComputingLeeds Beckett UniversityLeedsLS13HEUK Department of Computer Science and Engineering Chennai Institute of TechnologyChennai602109India Centre for Research Impact & Outcome Chitkara UniversityChandigarh140401India Department of Electronics and Communication Engineering Panimalar Engineering CollegeChennai600123India Department of Self-Development Skill Common First Year DeanshipKing Saud UniversityRiyadh11362Saudi Arabia Department of Computer Science College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia
This research presents an analysis of smart grid units to enhance connected units’security during data *** major advantage of the proposed method is that the system model encompasses multiple aspects such as network ... 详细信息
来源: 评论
Clinical deep model to analyse medical multivariate time-series data for health diagnosis
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Cyber-Physical systems 2025年 第2期11卷 139-164页
作者: Almahadeen, Layth Vijay, Richa Shabaz, Mohammad Soni, Mukesh Singh, Pavitar Parkash Patel, Pavan Byeon, Haewon Department of Financial and Administrative Sciences Al- Balqa’Applied University Al-Salt Jordan Department of computer science Amity University UP Noida India Department of Computer Science Engineering Model Institute of Engineering and Technology Jammu Jammu and Kashmir India Department of Computer Science Engineering University Centre for Research & Development Chandigarh University Mohali India Department of Management Lovely Professional University Phagwara India Department of Computer Science Engineering Ahmedabad Institute of Technology Ahmedabad India Department of Digital Anti-Aging Healthcare Inje University Gimhae Korea Republic of
Clinical auxiliary decision-making is related to life and health of patients, so the deep model needs to extract the personalised representation of patients to ensure high analysis and prediction accuracy;and provide ... 详细信息
来源: 评论
IDENTIFYING POLICY GRADIENT SUBSPACES  12
IDENTIFYING POLICY GRADIENT SUBSPACES
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12th International Conference on Learning Representations, ICLR 2024
作者: Schneider, Jan Schumacher, Pierre Guist, Simon Chen, Le Häufle, Daniel Schölkopf, Bernhard Büchler, Dieter Max Planck Institute for Intelligent Systems Tübingen Germany Hertie Institute for Clinical Brain Research Tübingen Germany Institute for Computer Engineering University of Heidelberg Germany
Policy gradient methods hold great potential for solving complex continuous control tasks. Still, their training efficiency can be improved by exploiting structure within the optimization problem. Recent work indicate... 详细信息
来源: 评论
EEG emotion recognition framework based on invariant wavelet scattering convolution network
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Journal of Ambient Intelligence and Humanized Computing 2024年 第4期15卷 2181-2199页
作者: Elrefaiy, Ahmed Tawfik, Nahed Zayed, Nourhan Elhenawy, Ibrahim Department of Computer Science Faculty of Computers and Informatics Zagazig University Zagazig44519 Egypt Computers and Systems Department Electronics Research Institute Cairo Egypt Mechanical Engineering Department The British University in Egypt Cairo Egypt
EEG signals for real-time emotion identification are crucial for affective computing and human-computer interaction. The current emotion recognition models, which rely on a small number of emotion classes and stimuli ... 详细信息
来源: 评论
Elastic Smart Contracts in Blockchains
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IEEE/CAA Journal of Automatica Sinica 2021年 第12期8卷 1901-1912页
作者: Schahram Dustdar Pablo Fernández JoséMaría García Antonio Ruiz-Cortés Distributed Systems Group Vienna University of TechnologyWien 1040Austria Smart Computer Systems Research and Engineering Lab Research Institute of Computer EngineeringUniversity of SevillaSevilla 41012Spain
In this paper,we deal with questions related to blockchains in complex Internet of Things(IoT)-based *** ecosystems are typically composed of IoT devices,edge devices,cloud computing software services,as well as peopl... 详细信息
来源: 评论
SMART AGRICULTURE: INTEGRATING AIR QUALITY MONITORING WITH DEEP LEARNING FOR PROCESS OPTIMIZATION*
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Scalable Computing 2025年 第3期26卷 1005-1016页
作者: Shobana, J. Subramanian, A Venkata Balamurugan, P. Perumal, Sivakumar Sankari, V. Eldho, K.J. Nareshkumar, R. Department of Data Science and Business Systems School of Computing College of Engineering and Technology SRM Institute of Science and Technology Tamilnadu Kattankulathur India Department of Computer Science and Engineering GITAM University Bengaluru India Department of Computer Science and Engineering J N N Institute of Enginering India Saveetha university Chennai India Department of Computer Science and Engineering Sasi Institute of Technology and Engineering Andhra Pradesh Tadepalligudem India Department of Artificial Intelligence and Data Science K.Ramakrishnan College of Engineering Kariyamanickam Rd Tamil Nadu Samayapuram India PG and Research Department of Computer Science Mary Matha Arts and Science College Kerala Mananthavady India Department of Networking and Communications School of Computing College of Engineering and Technology SRM Institute of Science and Technology Tamilnadu Kattankulathur India
Modernization and intense industrialization have led to a substantial improvement in people’s quality of life. However, the aspiration for achieving an improved quality of life results in environmental contamination.... 详细信息
来源: 评论
Learning the Eye of the Beholder: Statistical Modeling and Estimation for Personalized Color Perception  60
Learning the Eye of the Beholder: Statistical Modeling and E...
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60th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2024
作者: Chen, Xuanzhou Xu, Austin Wang, Jingyan Pananjady, Ashwin School of Electrical and Computer Engineering Georgia Institute of Technology United States Salesforce AI Research Georgia Institute of Technology United States School of Industrial and Systems Engineering Georgia Institute of Technology United States
Color perception has long remained an in-triguing topic spanning vision and cognitive science, signal processing, and computer graphics. People are often classified as either 'color-normal' or 'color-blind... 详细信息
来源: 评论
Knowledge-Driven Possibilistic Clustering with Automatic Cluster Elimination
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computers, Materials & Continua 2024年 第9期80卷 4917-4945页
作者: Xianghui Hu Yiming Tang Witold Pedrycz Jiuchuan Jiang Yichuan Jiang The School of Computer Science and Engineering Southeast UniversityNanjing211189China The School of Computer and Information Hefei University of TechnologyHefei230601China The Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6R 2V4Canada The Systems Research Institute Polish Academy of SciencesWarsaw00-901Poland The School of Information Engineering Nanjing University of Finance and EconomicsNanjing210023China
Traditional Fuzzy C-Means(FCM)and Possibilistic C-Means(PCM)clustering algorithms are data-driven,and their objective function minimization process is based on the available numeric ***,knowledge hints have been intro... 详细信息
来源: 评论