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检索条件"机构=Computer Science and Data Science"
30297 条 记 录,以下是91-100 订阅
排序:
Automated face recognition using deep learning technique and center symmetric multivariant local binary pattern
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Neural Computing and Applications 2025年 第1期37卷 263-281页
作者: Sekhar, J.C. Josephson, P. Joel Chinnasamy, A. Maheswari, M. Sankar, S. Kalangi, Ruth Ramya Department of Computer Science and Engineering NRI Institute of Technology Andhra Pradesh Guntur India Department of Electronics and Communication Engineering Malla Reddy Engineering College Telangana Hyderabad India Department of Data Science and Business Systems School of Computing SRMIST Kattankulathur Chennai India Department of Computer Science and Engineering Panimalar Engineering College Chennai India Department of Computer Science and Engineering Saveetha School of Engineering SIMATS Chennai India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Andhra Pradesh Vijayawada India
Researchers have recently created several deep learning strategies for various tasks, and facial recognition has made remarkable progress in employing these techniques. Face recognition is a noncontact, nonobligatory,... 详细信息
来源: 评论
Optimizing Diabetes Prediction Models for Enhanced Health data Processing  5th
Optimizing Diabetes Prediction Models for Enhanced Health Da...
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5th International Symposium on Signal and Image Processing, ISSIP 2024
作者: Chatterjee, Soham Gupta, Ritwika Das Ramadani, Lauresha Department of Statistics and Data Science CHRIST Deemed to be University Bangalore India Department of Computer Science AAB College Pristina Kosovo
Diabetes prediction is crucial for early intervention and personalized treatment. This study uses a multimodal strategy, including prediction algorithms, downsampling, feature engineering, exploratory data analysis (E... 详细信息
来源: 评论
Optimizing Healthcare: Enhancing Disease Management with Recommendation Systems  5th
Optimizing Healthcare: Enhancing Disease Management with Rec...
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5th International Symposium on Signal and Image Processing, ISSIP 2024
作者: Gupta, Ritwika Das Chatterjee, Soham Ramadani, Lauresha Department of Statistics and Data Science CHRIST Deemed to be University Bangalore India Department of Computer Science AAB College Pristina Kosovo
This paper explores a data-driven disease recommendation system for medical professionals based on symptoms. The technology examines symptom patterns to recommend diseases from large datasets by utilizing collaborativ... 详细信息
来源: 评论
Multi-scale feature fusion for facial expression recognition
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Neural Computing and Applications 2025年 1-22页
作者: Guo, Jiatao Peng, Junjie Huang, Yansong Chen, Gan Cai, Zesu Tan, Shuhua School of Computer Engineering and Science Shanghai University Shanghai China Shanghai Institute for Advanced Communication and Data Science Shanghai University Shanghai China School of Computer Science and Technology Harbin Institute of Technology Harbin China National Engineering Laboratory for Logistics Information Technology YTO Express Co. Ltd. Shanghai China
As an important computer vision task that can be used in many areas, facial expression recognition (FER) has been widely studied which much progress has been obtained especially when deep learning (DL) approaches have... 详细信息
来源: 评论
Detecting the symptoms of COVID-19 during pandemic environment using smart spectacle thermal images and deep capsule networks
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Multimedia Tools and Applications 2025年 第8期84卷 4475-4501页
作者: Dwarakanath, B. Pandimurugan, V. Mohandas, R. Sambath, M. Baiju, B.V. Chinnasamy, A. SRM Institute of Science and Technology Ramapuram Chennai India Networking and Communications School of Computing SRMIST kattankulathur Chennai India Computational Intelligence School of Computing SRMIST kattankulathur Chennai India Computer Science and Engineering Hindustan Institute of Technology and Science Chennai India School of Computer Science and Engineering Vellore Institute of Technology Vellore India Department of Data Science and Business Systems School of Computing SRMIST kattankulathur Chennai India
The pandemic creates a more complicated providence of medical assistance and diagnosis procedures. In the world, Covid-19, Severe Acute Respiratory Syndrome Coronavirus-2 (SARS Cov-2), and plague are widely known... 详细信息
来源: 评论
Gupacker: Generalized Unpacking Framework for Android Malware
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IEEE Transactions on Information Forensics and Security 2025年 20卷 4338-4352页
作者: Zheng, Tao Hou, Qiyu Chen, Xingshu Ren, Hao Li, Meng Li, Hongwei Shen, Changxiang Sichuan University School of Cyber Science and Engineering Chengdu610065 China Sichuan University School of Cyber Science and Engineering Cyber Science Research Institute Key Laboratory of Data Protection and Intelligent Management Ministry of Education Chengdu610065 China Hefei University of Technology Key Laboratory of Knowledge Engineering with Big Data Ministry of Education Intelligent Interconnected Systems Laboratory of Anhui Province School of Computer Science and Information Engineering Hefei230002 China University of Padua Department of Mathematics HIT Center Padua35131 Italy University of Electronic Science and Technology of China School of Computer Science and Engineering Chengdu611731 China Sichuan University Cyber Science Research Institute Key Laboratory of Data Protection and Intelligent Management Ministry of Education Chengdu610065 China
Android malware authors often use packers to evade analysis. Although many unpacking tools have been proposed, they face two significant challenges: 1) They are easily impeded by anti-analysis techniques employed by p... 详细信息
来源: 评论
Model-based framework for exploiting sensors of IoT devices using a botnet: a case study with android
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Cyber-Physical Systems 2025年 第1期11卷 1-46页
作者: Khaliq, Zubair Khan, Dawood Ashraf Baba, Asif Iqbal Ali, Shahbaz Farooq, Sheikh Umar Department of Computer Science University of Kashmir Jammu and Kashmir Srinagar India AI Thndr Dubai United Arab Emirates Department of Computer Science Tuskegee University TuskegeeAL United States Data Engineering hyke.ai Dubai United Arab Emirates
Botnets have become a severe security threat not only to the Internet but also to the devices connected to it. Factors like the exponential growth of IoT, the COVID-19 pandemic, and the ever-larger number of cybercrim... 详细信息
来源: 评论
Machine learning for Internet of Things (IoT) device identification: a comparative study
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PeerJ computer science 2025年 11卷 1-34页
作者: Tahaei, Hamid Liu, Anqi Forooghikian, Hamid Gheisari, Mehdi Zaki, Faiz Anuar, Nor Badrul Fang, Zhaoxi Huang, Longjun Institute of Artificial Intelligence Shaoxing University Shaoxing China School of Computing and Data Science Xiamen University Malaysia Selangor Malaysia Department of Management Islamic Azad University of Kish Kish Iran Department of Computer System and Technology Faculty of Computer Science and Information Technology Universiti Malaya Selangor Kuala Lumpur Malaysia Department of Computer Science and Engineering Shaoxing University Shaoxing China
The rapid deployment of millions of connected devices brings significant security challenges to the Internet of Things (IoT). IoT devices are typically resource-constrained and designed for specific tasks, from which ... 详细信息
来源: 评论
Transfer Learning and Domain Adaptation in Hyperspectral Image Processing: an Overview  2
Transfer Learning and Domain Adaptation in Hyperspectral Ima...
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2nd International Conference on Machine Learning and Autonomous Systems, ICMLAS 2025
作者: Pokale, Komal Chaudhri, Shiv Nath Department of Artificial Intelligence and Data Science Maharashtra India Department of Computer Science and Design Maharashtra India
Fine-tuning a pre-trained model is a type of transfer learning: a pre-trained model that works on a large dataset is transferred onto a particular task or a smaller dataset, such as a hyperspectral image. The efficacy... 详细信息
来源: 评论
Generation With Nuanced Changes: Continuous Image-to-Image Translation With Adversarial Preferences
IEEE Transactions on Artificial Intelligence
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IEEE Transactions on Artificial Intelligence 2025年 第4期6卷 816-828页
作者: Yao, Yinghua Pan, Yuangang Tsang, Ivor W. Yao, Xin Centre for Frontier Ai Research 138632 Singapore Lingnan University School of Data Science Hong Kong University of Birmingham School of Computer Science BirminghamB15 2TT United Kingdom
Most previous methods for continuous image-to-image translation resorted to binary attributes with restrictive description ability and thus cannot achieve satisfactory performance. Some works proposed to use fine-grai... 详细信息
来源: 评论