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检索条件"机构=Department of Computer Engineering and Computer Science"
384385 条 记 录,以下是351-360 订阅
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Rotation,Translation and Scale Invariant Sign Word Recognition Using Deep Learning
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computer Systems science & engineering 2023年 第3期44卷 2521-2536页
作者: Abu Saleh Musa Miah Jungpil Shin Md.Al Mehedi Hasan Md Abdur Rahim Yuichi Okuyama School of Computer Science and Engineering The University of AizuAizuwakamatsuFukushima965-8580Japan Department of Computer Science and Engineering Pabna University of Science and TechnologyPabnaBangladesh
Communication between people with disabilities and people who do not understand sign language is a growing social need and can be a tedious *** of the main functions of sign language is to communicate with each other ... 详细信息
来源: 评论
AutoRhythmAI: A Hybrid Machine and Deep Learning Approach for Automated Diagnosis of Arrhythmias
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computers, Materials & Continua 2024年 第2期78卷 2137-2158页
作者: S.Jayanthi S.Prasanna Devi Department of Computer Science and Engineering SRM Institute of Science and Technology-Vadapalani CampusChennaiTamil NaduIndia
In healthcare,the persistent challenge of arrhythmias,a leading cause of global mortality,has sparked extensive research into the automation of detection using machine learning(ML)***,traditional ML and AutoML approac... 详细信息
来源: 评论
Automatic Fetal Segmentation Designed on computer-Aided Detection with Ultrasound Images
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computers, Materials & Continua 2024年 第11期81卷 2967-2986页
作者: Mohana Priya Govindarajan Sangeetha Subramaniam Karuppaiya Bharathi Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalaniChennaiTamil Nadu600026India
In the present research,we describe a computer-aided detection(CAD)method aimed at automatic fetal head circumference(HC)measurement in 2D ultrasonography pictures during all trimesters of *** HC might be utilized tow... 详细信息
来源: 评论
When Crowdsourcing Meets Data Markets:A Fair Data Value Metric for Data Trading
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Journal of computer science & Technology 2024年 第3期39卷 671-690页
作者: 刘洋溯 郑臻哲 吴帆 陈贵海 Department of Computer Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China CCF ACM IEEE
Large-quantity and high-quality data is critical to the success of machine learning in diverse *** with the dilemma of data silos where data is difficult to circulate,emerging data markets attempt to break the dilemma... 详细信息
来源: 评论
Integration of Blockchain and IPFS: healthcare data management & sharing for IoT Environment
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Multimedia Tools and Applications 2024年 1-22页
作者: Mishra, Rajiv Kumar Yadav, Rajesh Kumar Nath, Prem Department of Computer Science & amp Engineering Jaypee Institute of Information Technology Noida India Department of Computer Science & amp Engineering Delhi Technological University Delhi India Department of Computer Science HNB Garhwal University Srinagar India
The immense volume of data generated and collected by smart devices has significantly enhanced various aspects of our daily lives. However, safeguarding the sensitive information shared among these devices is crucial.... 详细信息
来源: 评论
Explainable AI model for PDFMal detection based on gradient boosting model
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Neural Computing and Applications 2024年 第34期36卷 21607-21622页
作者: Elattar, Mona Younes, Ahmed Gad, Ibrahim Elkabani, Islam Department of Computer Science Faculty of Science Tanta University Tanta31527 Egypt Department of Mathematics and Computer Science Faculty of Science Alexandria University Alexandria21511 Egypt Faculty of Computer Science and Engineering Al Alamein International University Alamein51718 Egypt
Portable document formats (PDFs) are widely used for document exchange due to their widespread usage and versatility. However, PDFs are highly vulnerable to malware attacks, which pose significant security risks. Exis... 详细信息
来源: 评论
Machine learning in crime prediction
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Journal of Ambient Intelligence and Humanized Computing 2023年 第3期14卷 2887-2913页
作者: Jenga, Karabo Catal, Cagatay Kar, Gorkem Department of Computer Engineering Bahcesehir University Istanbul Turkey Department of Computer Science and Engineering Qatar University Doha Qatar
Predicting crimes before they occur can save lives and losses of property. With the help of machine learning, many researchers have studied predicting crimes extensively. In this paper, we evaluate state-of-the-art cr... 详细信息
来源: 评论
An Extensible CNN Model for Lung Cancer Diagnosis Using CT Images  2
An Extensible CNN Model for Lung Cancer Diagnosis Using CT I...
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2nd IEEE International Conference on Emerging Research in Computational science, ICERCS 2024
作者: Vanitha, K. Balajee, A. Mahesh, T.R. Vivek, V. Yogesh Kumar, K. Ramesh Kasai, Deepak Department of Computer Science and Engineering Coimbatore India Department of Computer Science and Engineering Bangalore India
Deep learning methods, which form the backbone of neural network architectures, have not only demonstrated exceptional capabilities in classifying data but also in reducing false predictions when handling vast dataset... 详细信息
来源: 评论
Efficient video summarization through MobileNetSSD: a robust deep learning-based framework for efficient video summarization focused on objects of interest
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Multimedia Tools and Applications 2024年 1-26页
作者: Yarrarapu, Manasa Leelavathy, Narkedamilly Haritha, Dasari Department of Computer Science and Engineering Jawaharlal Nehru Technological University Andhra Pradesh Kakinada533003 India Department of Computer Science and Engineering Godavari Institute of Engineering and Technology Andhra Pradesh Rajahmundry533296 India Department of Computer Science and Engineering University College of Engineering Jawaharlal Nehru Technological University Andhra Pradesh Kakinada533003 India
Now-a-days, the generation of videos has increased dramatically due to the quick growth of multimedia and the internet. The need for effective ways to store, manage, and index the massive numbers of videos has become ... 详细信息
来源: 评论
A Transfer Learning Framework for Deep Multi-Agent Reinforcement Learning
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IEEE/CAA Journal of Automatica Sinica 2024年 第11期11卷 2346-2348页
作者: Yi Liu Xiang Wu Yuming Bo Jiacun Wang Lifeng Ma the School of Automation Nanjing University of Science and Technology the Department of Computer Science and Software Engineering Monmouth University
Dear Editor,This letter presents a new transfer learning framework for the deep multi-agent reinforcement learning(DMARL) to reduce the convergence difficulty and training time when applying DMARL to a new scenario [1... 详细信息
来源: 评论