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检索条件"机构=Department of Languages and Computer Systems and Software Engineering"
3237 条 记 录,以下是11-20 订阅
排序:
Cost-Optimized Task Offloading for Dependent Applications in Collaborative Edge and Cloud Computing
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IEEE Internet of Things Journal 2025年 第9期12卷 12975-12988页
作者: Yuan, Haitao Hu, Qinglong Wang, Shen Bi, Jing Buyya, Rajkumar Lu, Jinhu Yang, Jinhong Zhang, Jia Zhou, MengChu Beihang University School of Automation Science and Electrical Engineering Beijing100191 China City University of Hong Kong Department of Computer Science Kowloon Tong Hong Kong Beijing University of Technology School of Software Engineering Faculty of Information Technology Beijing100124 China Laboratory School of Computing and Information Systems MelbourneVIC3010 Australia CSSC Systems Engineering Research Institute Beijing100036 China Southern Methodist University Lyle School of Engineering Department of Computer Science DallasTX75205 United States New Jersey Institute of Technology Department of Electrical and Computer Engineering NewarkNJ07102 United States
A collaborative system that includes mobile devices (MDs), edge nodes (ENs), and the cloud is needed where ENs at the network edge can run offloaded tasks of MDs with limited resources and energy for timely processing... 详细信息
来源: 评论
Enhancing Performance of Machine Learning Models in Healthcare: An Analytical Framework for Assessing and Improving Data Quality  5th
Enhancing Performance of Machine Learning Models in Healthca...
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5th International Conference on Advances in Information Communication Technology and Computing, AICTC 2024
作者: Al-Hgaish, Areen Atan, Rodziah Yaakob, Razali Osman, Mohd Hafeez Department of Software Engineering and Information Systems Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang44330 Malaysia Department of Computer Science Faculty of Computer Science and Information Technology Universiti Putra Malaysia Serdang44330 Malaysia
The utilization of Data-Driven Machine Learning (DDML) models in the healthcare sector poses unique challenges due to the crucial nature of clinical decision-making and its impact on patient outcomes. A primary concer... 详细信息
来源: 评论
Guest Editorial: Special Issue on Human-Machine Fusion Decision-Making for Emergency Handling
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IEEE Transactions on Automation Science and engineering 2025年 22卷 4427-4433页
作者: Wu, Edmond Q. Li, Jianqiang Chen, Guimin Yuce, Mehmet R. Islam, Shafiqul Ser, Javier Del Yu, Hui Liu, Peter Xiaoping Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200240 China College of Computer and Software Engineering Shenzhen University Shenzhen518060 China State Key Laboratory for Manufacturing Xi'an Jiaotong University Xi'an710049 China Department of Electrical and Computer Systems Engineering Monash University MelbourneVIC3800 Australia Xavier University of Louisiana New OrleansLA70125 United States Tecnalia Institute Bizkaia48160 Spain School of Creative Technologies University of Portsmouth PortsmouthPO1 2UP United Kingdom Department of Systems and Computer Engineering Carleton University OttawaONKIS 5B6 Canada
来源: 评论
A New Cybersecurity Approach Enhanced by xAI-Derived Rules to Improve Network Intrusion Detection and SIEM
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computers, Materials & Continua 2025年 第5期83卷 1607-1621页
作者: Federica Uccello Marek Pawlicki Salvatore D'Antonio RafałKozik MichałChoras Centro Direzionale Department of EngineeringUniversity of Naples‘Parthenope’Isola C4Napoli80133Italy Department of Computer and Information Science Software and SystemsLinköping UniversityLinköping58183Sweden ITTI Sp.z o.o. Pozna´n61-612Poland Faculty of Telecommunications Computer Science and Electrical EngineeringBydgoszcz University of Science and TechnologyBydgoszcz85-796Poland
The growing sophistication of cyberthreats,among others the Distributed Denial of Service attacks,has exposed limitations in traditional rule-based Security Information and Event Management *** machine learning–based... 详细信息
来源: 评论
Lightweight and Roubust Key Agreement for Securing IIoT-Driven Flexible Manufacturing systems
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IEEE Internet of Things Journal 2025年 第11期12卷 17197-17209页
作者: Hammad, Muhammad Badshah, Akhtar Almeer, Mohammed A. Waqas, Muhammad Song, Houbing Chen, Sheng Han, Zhu GIK Institute of Engineering Sciences and Technology Faculty of Mechanical Engineering Topi23640 Pakistan University of Malakand Department of Software Engineering Dir Lower18800 Pakistan University of Bahrain Computer Engineering Department College of Information Technology 32038 Bahrain University of Greenwich Faculty of Engineering and Science Centre for Sustainable Cybersecurity United Kingdom Edith Cowan University School of Engineering PerthWA6027 Australia Department of Information Systems BaltimoreMD United States University of Southampton School of Electronics and Computer Science SouthamptonSO17 1BJ United Kingdom University of Houston Department of Electrical and Computer Engineering HoustonTX77004 United States Kyung Hee University Department of Computer Science and Engineering Seoul446-701 Korea Republic of
The ever-evolving Internet of Things (IoT) has ushered in a new era of intelligent manufacturing across multiple industries. However, the security and privacy of real-time data transmitted over the public channel of t... 详细信息
来源: 评论
Enhancing Classification Algorithm Recommendation in Automated Machine Learning: A Meta-Learning Approach Using Multivariate Sparse Group Lasso
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computer Modeling in engineering & Sciences 2025年 第2期142卷 1611-1636页
作者: Irfan Khan Xianchao Zhang Ramesh Kumar Ayyasamy Saadat M.Alhashmi Azizur Rahim School of Software Dalian University of TechnologyDalian116620China Faculty of Information and Communication Technology Universiti Tunku Abdul RahmanKampar31900Malaysia College of Computing and Informatics University of SharjahSharjah27272United Arab Emirates Department of Computer Systems Engineering University of Engineering and Applied SciencesSwat19200Pakistan
The rapid growth of machine learning(ML)across fields has intensified the challenge of selecting the right algorithm for specific tasks,known as the Algorithm Selection Problem(ASP).Traditional trial-and-error methods... 详细信息
来源: 评论
Comparative analysis of text mining and clustering techniques for assessing functional dependency between manual test cases
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software Quality Journal 2025年 第2期33卷 1-36页
作者: Tahvili, Sahar Hatvani, Leo Felderer, Michael de Oliveira Neto, Francisco Gomes Afzal, Wasif Feldt, Robert Compute Platforms Engineering Unit Ericsson AB Stockholm Sweden Department of Industrial AI Systems Mälardalen University Västerås Sweden Institute of Software Technology German Aerospace Center Cologne Germany Department of Mathematics and Computer Science University of Cologne Cologne Germany Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden Department of Computer Science and Engineering Blekinge Institute of Technology Karlskrona Sweden Department of Computer Science and Engineering University of Gothenburg Gothenburg Sweden
Text mining techniques, particularly those leveraging machine learning for natural language processing, have gained significant attention for qualitative data analysis in software testing. However, their complexity an... 详细信息
来源: 评论
TASCI: transformers for aspect-based sentiment analysis with contextual intent integration
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PeerJ computer Science 2025年 11卷 1-27页
作者: Chaudhry, Hassan Nazeer Kulsoom, Farzana Khan, Zahid Ullah Aman, Muhammad Khan, Sajid Ullah Albanyan, Abdullah Dipartimento di Elettronica Informazione e Bioingegneria Politecnico di Milano Città Metropolitana di Milano Milano Italy Department of Telecommunication Engineering University of Engineering and Technology Taxila Pakistan College of Information and Communication Engineering Harbin Engineering University Harbin China College of Agricultural Engineering Shanxi Agricultural University Jinzhong China School of Software Shanxi Agricultural University Jinzhong China Information Systems Department College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz University Riyadh Saudi Arabia Department of Software Engineering College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz University Riyadh Saudi Arabia
In this article, we present a novel Transformer-Based Aspect-Level Sentiment Classification with Intent (TASCI) model, designed to enhance sentiment analysis by integrating aspect-level sentiment classification with i... 详细信息
来源: 评论
An Empirical Comparison of Machine and Deep Learning Algorithms for Predicting Maternal Health Risk  5th
An Empirical Comparison of Machine and Deep Learning Algorit...
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5th EAI International Conference on Cognitive Computing and Cyber Physical systems, IC4S 2024
作者: N, Srinivasa Gupta Valarmathi, B. Kavitha, A. Gopini, Sai Bhuvan Seela, Hari Kumar Department of Manufacturing Engineering School of Mechanical Engineering Vellore Institute of Technology Tamil Nadu Vellore India Department of Software and Systems Engineering School of Computer Science Engineering and Information Systems Vellore Institute of Technology Tamil Nadu Vellore India Department of Mathematics School of Advanced of Sciences Vellore Institute of Technology Tamil Nadu Vellore India
Maternal health is among the greatest challenges in the world, especially in rural areas as there lack medical practitioners, they do not have easily accessible publics clinics and transport is difficult. Therefore, h... 详细信息
来源: 评论
Understanding and Identifying Technical Debt in the Co-Evolution of Production and Test Code
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IEEE Transactions on software engineering 2025年 第5期51卷 1415-1436页
作者: Guo, Yimeng Chen, Zhifei Xiao, Lu Chen, Lin Li, Yanhui Zhou, Yuming Nanjing University State Key Laboratory for Novel Software Technology Nanjing210023 China Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing210094 China Stevens Institute of Technology Department of Systems and Enterprises Charles V. Schaefer Jr. School of Engineering and Science HobokenNJ07030 United States
The co-evolution of production and test code (PT co-evolution) has received increasing attention in recent years. However, we found that existing work did not comprehensively study various PT co-evolution scenarios, s... 详细信息
来源: 评论