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检索条件"机构=School of Computing and Technology"
45286 条 记 录,以下是1-10 订阅
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Microsoft's Windows Vista software is nearly a year old, but has it brought the benefits promised by the company, especially now when cyber security is of paramount importance, asks Dr Hamid Jahankhani, principal lecturer at the University of East London (UEL) school of computing and technology
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ELECTRONICS WORLD 2007年 第1860期113卷 12-13页
作者: Jahankhan, Hamid University of East London (UEL) School of Computing and Technology United Kingdom
Nations, governments, corporations, and individuals are under threat following the implications of crimes in the Internet. Windows Vista launched by Microsoft contains special features that appear to make commercial p... 详细信息
来源: 评论
Student Academic Advisement Augmented by Artificial Intelligence in the school of computing and Information technology, University of technology, Jamaica
Student Academic Advisement Augmented by Artificial Intellig...
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Computer Science, Computer Engineering, & Applied computing (CSCE), Congress in
作者: Tanya Graham Horrett Scarlett Shaula Edwards Braham School of Computing and Information Technology (SCIT) University of Technology (UTech) Kingston Jamaica
In this paper we examine the possibility of using artificial intelligence (AI) to improve academic advisement of students within the school of computing and Information technology (SCIT) at the University of Technolog...
来源: 评论
RE-SEGNN:recurrent semantic evidence-aware graph neural network for temporal knowledge graph forecasting
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Science China(Information Sciences) 2025年 第2期68卷 103-119页
作者: Wenyu CAI Mengfan LI Xuanhua SHI Yuanxin FAN Quntao ZHU Hai JIN National Engineering Research Center for Big Data Technology and System Services Computing Technology and System LabCluster and Grid Computing LabSchool of Computer Science and TechnologyHuazhong University of Science and Technology
Temporal knowledge graph(TKG) reasoning, has seen widespread use for modeling real-world events, particularly in extrapolation settings. Nevertheless, most previous studies are embedded models, which require both enti... 详细信息
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A 2-level cascaded deep learning with the adaptive novel feature extraction approach for sales forecasting framework
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International Journal of Computers and Applications 2025年 第4期47卷 373-387页
作者: Selvaraj, Sivabalan Minu, R.I. Department of Computing Technologies School of Computing SRM Institute of Science and Technology Kattankulathur India
This study presents a revolutionary deep-learning architecture that focuses on feature extraction, feature selection, and sales forecasting. The technique begins with a pre-processing step using median imputation and ... 详细信息
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Utilizing enhanced deep learning methods for residential burglary detection via analysis of human behavior patterns
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Multimedia Tools and Applications 2025年 第10期84卷 7627-7646页
作者: Pavithra, S. Muruganantham, B. Department of Computing Technologies School of Computing SRM Institute of Science and Technology Kattankulathur Chennai India
Residential burglary is a severe crime that affects millions of residents each year. It is critical to analyze patterns of human behavior in surveillance video data and discover suspicious actions to avoid and deter t... 详细信息
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Ensemble Multimodal Disease Risk Prediction: Integrating Chest X-Ray Images and Medical Data with ERSGB-RSW Method
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Journal of The Institution of Engineers (India): Series B 2025年 第2期106卷 697-711页
作者: Amirtharaj, Shiny Irene David Marudappa, Pushpalatha Sachin, Lade Khalid, Mohammad Department of Computing Technologies School of Computing College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Campus Chennai India
The emergence of multimodal disease risk prediction signifies a pivotal shift towards healthcare by integrating information from various sources and enhancing the reliability of predicting susceptibility to specific d... 详细信息
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EHRT-RWB: A Novel Ensemble Hybrid Recurrent Transformer for Multimodal Heart Disease Risk Prediction
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Journal of The Institution of Engineers (India): Series B 2025年 第2期106卷 475-486页
作者: Irene, D. Shiny Peter, J. Selvin Paul Sankarasubramanian, Nivetha Krishnakanth, S. Praveen Department of Computing Technologies School of Computing Colllege of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Campus Chennai India
The disease that contains the highest mortality and morbidity across the world is cardiac disease. Annually millions of people are affected and deaths take place due to cardiac diseases worldwide. There are various di... 详细信息
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When Software Security Meets Large Language Models:A Survey
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IEEE/CAA Journal of Automatica Sinica 2025年 第2期12卷 317-334页
作者: Xiaogang Zhu Wei Zhou Qing-Long Han Wanlun Ma Sheng Wen Yang Xiang IEEE the School of Computer and Mathematical Sciences the University of Adelaide the School of Science Computing and Engineering Technologies Swinburne University of Technology
Software security poses substantial risks to our society because software has become part of our life. Numerous techniques have been proposed to resolve or mitigate the impact of software security issues. Among them, ... 详细信息
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Enhanced electrode-level diagnostics for lithium-ion battery degradation using physics-informed neural networks
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Journal of Energy Chemistry 2025年 第5期104卷 618-627页
作者: Rui Xiong Yinghao He Yue Sun Yanbo Jia Weixiang Shen National Engineering Research Center of Electric Vehicles School of Mechanical Engineering Beijing Institute of Technology School of Science Computing and Engineering Technologies Swinburne University of Technology
For the diagnostics and health management of lithium-ion batteries, numerous models have been developed to understand their degradation characteristics. These models typically fall into two categories:data-driven mode... 详细信息
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Experiential Explanations for Reinforcement Learning
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Neural computing and Applications 2025年 1-31页
作者: Alabdulkarim, Amal Singh, Madhuri Mansi, Gennie Hall, Kaely Ehsan, Upol Riedl, Mark O. School of Interactive Computing Georgia Institute of Technology Atlanta United States
Reinforcement learning (RL) systems can be complex and non-interpretable, making it challenging for non-AI experts to understand or intervene in their decisions. This is due in part to the sequential nature of RL in w... 详细信息
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