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检索条件"机构=Artificial Intelligence and Machine Learning School of Computer Science and Mathematics"
546 条 记 录,以下是31-40 订阅
排序:
The Impact of AI-Powered Personalization on Academic Performance in Students  5
The Impact of AI-Powered Personalization on Academic Perform...
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5th IEEE International Conference on Recent Trends in computer science and Technology, ICRTCST 2024
作者: Shete, Shweta G. Koshti, Priyanka Pujari, Vinayak I. Sanjay Ghodawat University Department of Artificial Intelligence and Machine Learning Kolhapur India Sanjay Ghodawat University Department of Computer Science Kolhapur India D.Y. Patil School of Engineering and Management Department of Computer Application Kolhapur India
This study investigates how learners' performance is affected by AI-driven personalization. This goal compares students' academic performance in AI-driven personalized learning environments to that of students... 详细信息
来源: 评论
Feedback Delay-Tolerant Proactive Caching Scheme Based on Federated learning at the Wireless Edge
IEEE Networking Letters
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IEEE Networking Letters 2023年 第1期5卷 26-30页
作者: Lin, Na Wang, Yamei Zhang, Enchao Yu, Keping Zhao, Liang Guizani, Mohsen Shenyang Aerospace University School of Computer Science Shenyang110136 China Hosei University Graduate School of Science and Engineering Tokyo184-8584 Japan Riken Riken Center for Advanced Intelligence Project Tokyo103-0027 Japan Mohamed Bin Zayed University of Artificial Intelligence Machine Learning Department Abu Dhabi United Arab Emirates
Edge caching has emerged as a promising approach to meet explosive mobile data on 6G networks. One critical issue in edge caching is file popularity prediction. The federated learning (FL) based distributed algorithm ... 详细信息
来源: 评论
Multi-Keywords Based Fully Homomorphic Encryption and Data Classification for Cloud Security and Privacy  2
Multi-Keywords Based Fully Homomorphic Encryption and Data C...
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2nd IEEE International Conference on Emerging Trends in Engineering and Medical sciences, ICETEMS 2024
作者: Sukeerthi, Kooragayala Kesavan, R. Kalaiselvan, S.A. Saveetha School of Engineering SIMATS Department of Computer Science & Engineering Chennai India Rajalakshmi Engineering College Department of Artificial Intelligence and Machine Learning Chennai India
When it comes to processing and storing massive amounts of data efficiently, cloud computing has become the dominant paradigm. Both consumers and suppliers of services in cloud settings are understandably worried abou... 详细信息
来源: 评论
An Efficient Biometric Authentication Based on Face Image using Deep Generative Adversarial Network  2
An Efficient Biometric Authentication Based on Face Image us...
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2nd IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2024
作者: Aswini, K.R.N. Al-Fatlawy, Ramy Riad Jagadish, Sripelli Ramaswamy, Palanivel Deepak Kumar, B.P. KNS Institute of Technology Department of Artificial Intelligence and Machine Learning Bangalore India The Islamic University Najaf Iraq SR University School of Computer Science & Artificial Intelligence Warangal India Nitte Meenakshi Institute of Technology Department of AI and DS Bengaluru India CMR Technical Campus Hyderabad India
face authentication is one of the technique to prevent the loss of personal data, however the process is challenging due to variations in the patterns of the mouth, nose, eyes, and angles. A face authentication system... 详细信息
来源: 评论
An Efficient Lattice-Based Authentication Protocol for the Vehicular Ad Hoc Network  7th
An Efficient Lattice-Based Authentication Protocol for the...
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7th International Conference on Attacks and Defenses for Internet-of-Things, ADIoT 2024
作者: Chen, Xinyong Chen, Jiageng Luo, Jinquan Liu, Hongwei School of Computer Science and Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning Central China Normal University Hubei Wuhan430079 China School of Mathematics and Statistics Central China Normal University Hubei Wuhan430079 China
Vehicular Ad Hoc Networks (VANETs) are crucial for intelligent transportation systems (ITS), yet they face significant security and privacy challenges. The open wireless environment makes VANETs vulnerable t... 详细信息
来源: 评论
Life Expectancy Prediction using machine learning Technique - KNN  3
Life Expectancy Prediction using Machine Learning Technique ...
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3rd IEEE World Conference on Applied intelligence and Computing, AIC 2024
作者: Narooka, Preeti Vashistha, Aarushi Mitra, Priyanka Derashri, Gulisha School of Computer Science Engineering Manipal University Department of Artificial Intelligence and Machine Learning Rajasthan Jaipur303007 India Jaipur Engineering College and Research Centre Department of Computer Science and Engineering Jaipur303905 India Jaipur Engineering College and Research Centre Department of Computer Science and Engineering Jaipur India
In the modern world, life expectancy turns out to be the most valuable factor in determining population's health. Today, it is more crucial to predict the future because life is more precarious due to a variety of... 详细信息
来源: 评论
Comparing machine learning Algorithms for Real-Time Forest Fire Detection using Color, Motion, and Shape Features  5
Comparing Machine Learning Algorithms for Real-Time Forest F...
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5th International Conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2024
作者: Dixit, Rinku Sharma Choudhary, Shailee Lohmor Mahaveerakannan, R. Kaveya, E. New Delhi Institute of Management Department of Artificial Intelligence and Machine Learning Delhi110062 India Saveetha School of Engineering Department of Computer Science and Engineering Saveetha Institute of Medical and Technical Sciences Tamil Nadu Chennai India
Forest fires are extremely dangerous to ecosystems, animals, and humans;thus, it is crucial to detect them early on to limit the harm they cause. Presenting a novel framework for the detection of forest fires is the o... 详细信息
来源: 评论
Graph Convolutional Network Combined with Semantic Feature Guidance for Deep Clustering
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Tsinghua science and Technology 2022年 第5期27卷 855-868页
作者: Junfen Chen Jie Han Xiangjie Meng Yan Li Haifeng Li Key Laboratory of Machine Learning and Computational Intelligence of Hebei Province the College of Mathematics and Information ScienceHebei UniversityBaoding 071002China School of Applied Mathematics Beijing Normal University ZhuhaiZhuhai 519087China Department of Computer Teaching Hebei UniversityBaoding 071002China
The performances of semisupervised clustering for unlabeled data are often superior to those of unsupervised learning,which indicates that semantic information attached to clusters can significantly improve feature re... 详细信息
来源: 评论
Point Cloud Registration of non-rigid objects in sparse 3D Scans with applications in Mixed Reality
arXiv
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arXiv 2022年
作者: Jha, Manorama Artificial Intelligence and Machine Learning School of Computer Science and Mathematics
Point Cloud Registration is the problem of aligning the corresponding points of two 3D point clouds referring to the same object. The challenges include dealing with noise and partial match of real-world 3D scans. For... 详细信息
来源: 评论
Visual Computing Unified Application Using Deep learning and computer Vision Techniques
International Journal of Interactive Mobile Technologies
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International Journal of Interactive Mobile Technologies 2024年 第1期18卷 59-74页
作者: Sowmya, B.J. Meeradevi Seema, S. Dayananda, P. Supreeth, S. Shruthi, G. Rohith, S. Department of Artificial Intelligence and Data Science Ramaiah Institute of Technology Karnataka Bengaluru India Department of Artificial Intelligence and Machine Learning Ramaiah Institute of Technology Karnataka Bengaluru India Department of Computer Science and Engineering M S Ramaiah Institute of Technology Karnataka Bengaluru India Department of Information Technology Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Karnataka Manipal India School of Computer Science and Engineering REVA University Karnataka Bengaluru India Department of Electronics & Communication Engineering Nagarjuna College of Engineering & Technology Karnataka Bengaluru India
Vision Studio aims to utilize a diverse range of modern deep learning and computer vision principles and techniques to provide a broad array of functionalities in image and video processing. Deep learning is a distinc... 详细信息
来源: 评论