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检索条件"任意字段=2024 International Conference on Computing, Machine Learning and Data Science, CMLDS 2024"
13394 条 记 录,以下是101-110 订阅
排序:
POSTER: Scalable K-Nearest Neighbors Implementation using Distributed Embedded Systems  21
POSTER: Scalable K-Nearest Neighbors Implementation using Di...
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21st ACM international conference on computing Frontiers (CF)
作者: De Sio, Corrado Avignone, Andrea Sterpone, Luca Chiusano, Silvia Politecn Torino Dept Control & Comp Engn DAUIN Turin Italy
The distributed embedded systems paradigm is a promising platform for high-performance embedded applications. We present a distributed algorithm and system based on cost-effective devices. The proof of concept shows h... 详细信息
来源: 评论
MRI Based Health Detection Using machine learning Techniques  14
MRI Based Health Detection Using Machine Learning Techniques
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14th international conference on Cloud computing, data science and Engineering, Confluence 2024
作者: Ranjai, Rishab Gupta, Sumita Amity School of Engineering and Technology Amity University Uttar Pradesh Department of Computer Science & Engineering U.P. Noida India
Health has a significant influence on one's wellbeing and quality of life. By assisting medical practitioners, suggesting possible therapies, and allowing early illness identification, machine learning techniques ... 详细信息
来源: 评论
One Hop Routing Optimization Approach Using machine learning  19
One Hop Routing Optimization Approach Using Machine Learning
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19th international conference on Future Networks and Communications, FNC 2024 / 21st international conference on Mobile Systems and Pervasive computing, MobiSPC 2024 / 14th international conference on Sustainable Energy Information Technology, SEIT 2024
作者: Kaja, Siddardha Shakshuki, Elhadi Malik, Haroon Yasar, Ansar Acadia University WolfvilleNS Canada Marshall University WV United States Hasselt University Belgium
Every data packet must pass through a few intermediate nodes toreach its destination. Among other reasons, tremendous growth in internetdevices encourages those intermediate nodes to drop the data packets. Optimizing ... 详细信息
来源: 评论
An Intelligent machine learning Approach to Detect Spam in Social Media  5
An Intelligent Machine Learning Approach to Detect Spam in S...
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5th international conference on data Intelligence and Cognitive Informatics, ICDICI 2024
作者: Mohandas, R. Prasanna, D.S. John Deva Meenakshi, N. Kaviyaraj, R. Nathiya, S. Arivazhagan, N. Srm Institute of Science and Technology School of Computing Department of Computational Intelligence Kattankulathur India Srm Institute of Science and Technology School of Computing Department of Data Science and Business Systems Kattankulathur India
machine learning based intelligent approach is applied to finding spam in YouTube videos. Spam comments are ones that are promotional or unrelated. A growing number of users have been drawn to the idea of making money... 详细信息
来源: 评论
Optimizing Mental Health Status Prediction Models Using machine learning Algorithms  3
Optimizing Mental Health Status Prediction Models Using Mach...
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3rd international conference on data Analytics, computing and Artificial Intelligence, ICDACAI 2024
作者: Liu, Dong Guangdong Polytechnic of Science and Technology Guangdong Zhuhai519090 China
In contemporary society, mental health concerns are gaining heightened attention, and accurately forecasting individuals' mental well-being has become a pivotal research focus. Traditional predictive models for me... 详细信息
来源: 评论
Artificial Intelligence (AI), machine learning (ML) &Deep learning (DL): A Comprehensive Overview on Techniques, Applications and Research Directions  2
Artificial Intelligence (AI), Machine Learning (ML) &Deep Le...
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2nd international conference on Sustainable computing and Smart Systems (ICSCSS)
作者: Mian, Syed Mohtashim Khan, Mohammad Shuaib Shawez, Mohd Kaur, Amandeep SRM Univ Dept Comp Sci & Engn Sonipat Haryana India Chitkara Univ Inst Engn & Technol Rajpura Punjab India TMU Moradabad India GNA Univ Dhak Khati Punjab India
The subfield of artificial intelligence (AI) within computer science aims to create intelligent machines capable of performing tasks typically requiring human intelligence. This foundational concept posits that human ... 详细信息
来源: 评论
A Dual Transfer Framework for Cooperative Spectrum Sensing in Cognitive Radio
A Dual Transfer Framework for Cooperative Spectrum Sensing i...
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international conference on computing, Networking and Communications (ICNC)
作者: Li, Lusi Ning, Rui Wang, Ziyu Hao, Shuai Old Dominion Univ Dept Comp Sci Norfolk VA 23509 USA
Introducing machine learning (ML) into cooperative spectrum sensing (CSS) in cognitive radio has yielded effective data-driven solutions for the spectrum shortage problem. Significant quantities of labeled data are re... 详细信息
来源: 评论
An Empirical Study on AI-Powered Edge computing Architectures for Real-Time IoT Applications  48
An Empirical Study on AI-Powered Edge Computing Architecture...
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48th Annual IEEE international Computers, Software, and Applications conference (COMPSAC) - Digital Development for a Better Future
作者: Yasmin, Awatif Mahmud, Tarek Debnath, Minakshi Ngu, Anne H. H. Texas State Univ San Marcos TX 78666 USA
AI-Powered Edge computing is accelerating the integration of the cyber world with the ever-growing list of new physical IoT devices and will fundamentally change and empower the way humans interact with the world. In ... 详细信息
来源: 评论
Quantum-Inspired Optimization Algorithms for Scalable machine learning in Edge computing  4
Quantum-Inspired Optimization Algorithms for Scalable Machin...
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4th international conference on Technological Advancements in Computational sciences, ICTACS 2024
作者: Goyal, Rohit Kumar, Krishan Sharma, Vivek Bhutia, Rudramani Jain, Arpit Kumar, Munish School of Engineering and Computing Dev Bhoomi Uttarakhand University Uttarakhand Dehradun India Bhagat Phool Singh Mahila Vishwavidyalaya Department of Ece Haryana Sonipat India School of Computer Science and Engineering Galgotias University Department of Computer Science and Engineering Greater Noida India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering A.P. Vaddeswaram India
The convergence of machine learning and edge computing has led to the development of scalable solutions that bring computation closer to the data source. However, optimizing machine learning models efficiently for edg... 详细信息
来源: 评论
A review on Ensemble learning based maximal frequent pattern mining over Cloud
A review on Ensemble learning based maximal frequent pattern...
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2024 IEEE international Students' conference on Electrical, Electronics and Computer science, SCEECS 2024
作者: Anil, Ghatage Rahul Peter, J. Selvin Paul Jitkar, B.D. Srm Institute of Science & Technology Department of Computing Technology Tamil Nadu Kattankulathur India D.Y.Patil College of Engg. & Tech. Department of Cse Maharashtra Kolhapur India
In digital era vast quantity of data is produced by smart machines and it is challenging work to store and evaluate the Big data. The frequent pattern mining in Big data plays extremely vital part in industry for deci... 详细信息
来源: 评论