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检索条件"机构=Computer Science and Computer Engineering"
588205 条 记 录,以下是151-160 订阅
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COVID-19 Fake News Detection using Deep Learning Model
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Annals of Data science 2024年 第6期11卷 2167-2198页
作者: Akhter, Mahabuba Hossain, Syed Md. Minhaz Nigar, Rizma Sijana Paul, Srabanti Kamal, Khaleque Md. Aashiq Sen, Anik Sarker, Iqbal H. Department of Computer Science and Engineering Premier University Chattogram4000 Bangladesh Department of Computer Science and Engineering Chittagong University of Engineering and Technology Chattogram4349 Bangladesh
People may now receive and share information more quickly and easily than ever due to the widespread use of mobile networked devices. However, this can occasionally lead to the spread of false information. Such inform... 详细信息
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Poor and rich squirrel algorithm-based Deep Maxout network for credit card fraud detection
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International Journal of Wireless and Mobile Computing 2025年 第2期28卷 123-134页
作者: Paul, Annu Paul, Varghese Department of Computer Science Alphonsa College Kottayam Kerala Pala India Department of Computer Science and Engineering Rajagiri School of Engineering and Technology Kerala Kochi India
This paper proposes a Poor and Rich Squirrel Algorithm (PRSA)-based Deep Maxout network to find fraud data transactions in the credit card system. Initially, input transaction data is passed to the data transformation... 详细信息
来源: 评论
Improving UAV Image Target Detection: A Novel Approach Using OptiDETR with Swin Transformer
IAENG International Journal of Computer Science
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IAENG International Journal of computer science 2025年 第3期52卷 771-780页
作者: Ma, Wenlong Liu, Weisheng School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan114051 China School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan114051 China
In the analysis of drone aerial images, object detection tasks are particularly challenging, especially in the presence of complex terrain structures, extreme differences in target sizes, suboptimal shooting angles, a... 详细信息
来源: 评论
An Attention-Based CNN Framework for Alzheimer’s Disease Staging with Multi-Technique XAI Visualization
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computers, Materials & Continua 2025年 第5期83卷 2947-2969页
作者: Mustafa Lateef Fadhil Jumaili Emrullah Sonuç Department of Computer Engineering Karabuk UniversityKarabük78050Türkiye Department of Computer Science College of Computer Science and MathematicsTikrit UniversityTikrit34001Iraq
Alzheimer’s disease(AD)is a significant challenge in modern healthcare,with early detection and accurate staging remaining critical priorities for effective *** Deep Learning(DL)approaches have shown promise in AD di... 详细信息
来源: 评论
SwiftTheft: A Time-Efficient Model Extraction Attack Framework Against Cloud-Based Deep Neural Networks
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Chinese Journal of Electronics 2024年 第1期33卷 90-100页
作者: Wenbin YANG Xueluan GONG Yanjiao CHEN Qian WANG Jianshuo DONG School of Cyber Science and Engineering Wuhan University School of Computer Science Wuhan University College of Electrical Engineering Zhejiang University
With the rise of artificial intelligence and cloud computing, machine-learning-as-a-service platforms,such as Google, Amazon, and IBM, have emerged to provide sophisticated tasks for cloud applications. These propriet... 详细信息
来源: 评论
IDBNWP: Improved deep belief network for workload prediction: Hybrid optimization for load balancing in cloud system
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Multimedia Tools and Applications 2025年 第16期84卷 15715-15733页
作者: Ajil, A. Kumar, E. Saravana Department of Computer Science and Engineering The Oxford College of Engineering Visvesvaraya Technological University Karnataka Belagavi India School of Computer Science and Engineering REVA University Karnataka Bengaluru India
The achievement of cloud environment is determined by the efficiency of its load balancing with proper allocation of resources. The proactive forecasting of future workload, accompanied by the allocation of resources,... 详细信息
来源: 评论
Residual-enhanced graph convolutional networks with hypersphere mapping for anomaly detection in attributed networks
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Data science and Management 2025年 第2期8卷 137-146页
作者: Khan, Wasim Mohd, Afsaruddin Suaib, Mohammad Ishrat, Mohammad Shaikh, Anwar Ahamed Faisal, Syed Mohd Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram 522502 India Department of Computer Engineering & Applications GLA University Mathura281406 India Department of Computer Science and Engineering Integral University Lucknow226026 India
In the burgeoning field of anomaly detection within attributed networks, traditional methodologies often encounter the intricacies of network complexity, particularly in capturing nonlinearity and sparsity. This study... 详细信息
来源: 评论
A privacy-preserving method for publishing data with multiple sensitive attributes
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CAAI Transactions on Intelligence Technology 2024年 第1期9卷 222-238页
作者: Tong Yi Minyong Shi Wenqian Shang Haibin Zhu School of Computer Science and Engineering Guangxi Normal UniversityGuilinChina School of Computer Science Communication University of ChinaBeijingChina Department of Computer Science and Mathematics Nipissing UniversityNorth BayOntarioCanada
The overgeneralisation may happen because most studies on data publishing for multiple sensitive attributes(SAs)have not considered the personalised privacy ***,sensitive information disclosure may also be caused by t... 详细信息
来源: 评论
Multi-Scale Feature Optimization Point Cloud Completion Network Integrating SoftPool
IAENG International Journal of Computer Science
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IAENG International Journal of computer science 2025年 第1期52卷 233-243页
作者: Zhang, Wanpeng Zhou, Ziwei School of Computer Science and Software Engineering University of Science and Technology LiaoNing Anshan114051 China School of Computer Science and Software Engineering University of Science and Technology LiaoNing Anshan114051 China
Point cloud completion is crucial in point cloud processing, as it can repair and refine incomplete 3D data, ensuring more accurate models. However, current point cloud completion methods commonly face a challenge: th... 详细信息
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Online aggression detection using ensemble techniques on fine-tuned transformer-based language models
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International Journal of computers and Applications 2024年 第8期46卷 567-579页
作者: Chinivar, Sneha Roopa, M.S. Arunalatha, J.S. Venugopal, K.R. Department of Computer Science and Engineering Bangalore University Karnataka Bengaluru India Department of Computer Science and Engineering Dayanand Sagar College of Engineering Karnataka Bengaluru India
The widespread adoption of Online Platforms for our day-to-day life is increasingly contributing to the rise of Online Aggression and its escalation. Consequently, there is a need for a robust mechanism that could aut... 详细信息
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