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检索条件"机构=School of Computer and Data Engineering"
11206 条 记 录,以下是311-320 订阅
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IP SafeGuard - An AI-Driven Malicious IP Detection Framework
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IEEE Access 2025年 13卷 90249-90261页
作者: Siam, Abdullah Al Alazab, Moutaz Awajan, Albara Hasan, Md Rakibul Obeidat, Areej Faruqui, Nuruzzaman Daffodil International University Daffodil Smart City Birulia Department of Software Engineering Dhaka1216 Bangladesh Oryx Universal College with Liverpool John Moores University School of Computing and Data Sciences Cybersecurity Department Doha34110 Qatar Al-Balqa Applied University Faculty of Artificial Intelligence Department of Intelligent Systems Al-Salt19385 Jordan Department of Computer Science and Engineering Dhaka Bangladesh Amman Jordan
The rising frequency and sophistication of cyberattacks have made real-time malicious IP detection a critical challenge for modern Security Operations Center (SOC). Traditional solutions, such as static blacklists and... 详细信息
来源: 评论
Correction: Prompt4LJP: prompt learning for legal judgment prediction
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The Journal of Supercomputing 2025年 第5期81卷 1-2页
作者: Huang, Qiongyan Xia, Yuhan Long, Yunfei Fang, Hui Liang, Ruiwei Guan, Yin Xu, Ge College of Mechanical and Electrical Engineering Fujian Agriculture and Forestry University Fuzhou China School of Computer Science and Electronic Engineering University of Essex Colchester UK School of Computer and Big Data Minjiang University Fuzhou China Fujian Mental Health Human-Computer Interaction Technology Research Center Minjiang University Fuzhou China Fuzhou Institute of Oceanography Fuzhou China
来源: 评论
A Survey on Evolutionary Feature Selection in Multi-Label Classification
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IEEE Transactions on Evolutionary Computation 2025年
作者: Hancer, Emrah Xue, Bing Zhang, Mengjie Victoria University of Wellington Center for Data Science and Artificial Intelligence School of Engineering and Computer Science Wellington6140 New Zealand Burdur Mehmet Akif Ersoy University Department of Software Engineering Burdur15039 Turkey
Multi-label classification (MLC) involves assigning multiple labels to each instance from a predefined set of labels. With the increasing prevalence of multi-label datasets in real-world problems, MLC has become a pop... 详细信息
来源: 评论
Identifying Sources of Soil Pollution in Industrial Areas Using IoT data and Neural Networks
Identifying Sources of Soil Pollution in Industrial Areas Us...
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2024 Asian Conference on Intelligent Technologies, ACOIT 2024
作者: Kovarasan, Rajesh Kambattan Shibu, N.V. Sairam, A. Manivannan, K.K. Ishwarya, M.V. GaneshBabu, T.R. Department of Computer Science and Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Tamil Nadu Chennai India Department of Computing Technologies School of Computing SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chennai India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India Department of Mechatronics Engineering KCG College of Technology Tamil Nadu Chennai India Artificial Intelligence and Data science Department Agni College of Technology Tamil Nadu Chennai India Tamil Nadu Namakkal India
Quick and precise source identification is crucial for developing successful remediation solutions to address soil contamination in industrial locations, which presents serious dangers to both the environment and huma... 详细信息
来源: 评论
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective
arXiv
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arXiv 2025年
作者: Bi, Zhangqian Wan, Yao Chu, Zhaoyang Hu, Yufei Zhang, Junyi Zhang, Hongyu Xu, Guandong Jin, Hai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Wuhan China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Big Data and Software Engineering Chongqing University Chongqing China School of Computer Science University of Technology Sydney Sydney Australia
Pre-training a language model and then fine-tuning it has shown to be an efficient and effective technique for a wide range of code intelligence tasks, such as code generation, code summarization, and vulnerability de... 详细信息
来源: 评论
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective
How to Select Pre-Trained Code Models for Reuse? A Learning ...
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IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
作者: Zhangqian Bi Yao Wan Zhaoyang Chu Yufei Hu Junyi Zhang Hongyu Zhang Guandong Xu Hai Jin National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab Wuhan China School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Big Data and Software Engineering Chongqing University Chongqing China School of Computer Science University of Technology Sydney Sydney Australia
Pre-training a language model and then fine-tuning it has shown to be an efficient and effective technique for a wide range of code intelligence tasks, such as code generation, code summarization, and vulnerability de... 详细信息
来源: 评论
SWIPTNet: a Unified Deep Learning Framework for SWIPT Based on GNN and Transfer Learning
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IEEE Transactions on Mobile Computing 2025年
作者: Han, Hong Lu, Yang Song, Zihan Zhang, Ruichen Chen, Wei Ai, Bo Niyato, Dusit Kim, Dong In Beijing Jiaotong University School of Computer Science and Technology Beijing100044 China Nanyang Technological University College of Computing and Data Science 639798 Singapore Beijing Jiaotong University School of Electronics and Information Engineering Beijing100044 China Sungkyunkwan University Department of Electrical and Computer Engineering Suwon16419 Korea Republic of
This paper investigates the deep learning based approaches for simultaneous wireless information and power transfer (SWIPT). The quality-of-service (QoS) constrained sumrate maximization problems are, respectively, fo... 详细信息
来源: 评论
Piccolo: Large-Scale Graph Processing with Fine-Grained In-Memory Scatter-Gather
arXiv
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arXiv 2025年
作者: Shin, Changmin Song, Jaeyong Jang, Hongsun Kim, Dogeun Sung, Jun Kwon, Taehee Ju, Jae Hyung Liu, Frank Choi, Yeonkyu Lee, Jinho Department of Electrical and Computer Engineering Seoul National University Korea Republic of School of Data Science Old Dominion Univeristy United States Samsung Electronics
Graph processing requires irregular, fine-grained random access patterns incompatible with contemporary off-chip memory architecture, leading to inefficient data access. This inefficiency makes graph processing an ext... 详细信息
来源: 评论
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis
DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Kaijun Deng Dezhi Zheng Jindong Xie Jinbao Wang Weicheng Xie Linlin Shen Siyang Song Computer Vision Institute School of Computer Science and Software Engineering Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Guangdong Provincial Key Laboratory of Intelligent Information Processing Department of Computer Science University of Exeter
Accurately synthesizing talking face videos and capturing fine facial features for individuals with long hair presents a significant challenge. To tackle these challenges in existing methods, we propose a decomposed p... 详细信息
来源: 评论
Optimized data Processing for Hard Drive Failure Prediction
Optimized Data Processing for Hard Drive Failure Prediction
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Emerging Systems and Intelligent Computing (ESIC), International Conference on
作者: Sivakumar M Ragavendra R Sandeep Kumar Satapathy Shruti Mishra Pradeep Kumar Mallick School of Computer Science & Engineering Vellore Institute of Technology Chennai Tamilnadu India Centre for Advanced Data Science Vellore Institute of Technology Chennai Tamil Nadu India School of Computer Engineeing KIIT University Odisha India
With the rise of big data, efficient data handling techniques have become increasingly crucial. Hard drive failure prediction is a critical domain where accurate and timely data handling is paramount. This research pa... 详细信息
来源: 评论