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Titlebook: Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; ; ICDSMLA 2023, 15–16 Amit Kumar,Vinit

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發(fā)表于 2025-3-21 17:13:21 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1
副標(biāo)題ICDSMLA 2023, 15–16
編輯Amit Kumar,Vinit Kumar Gunjan,Yu-Chen Hu
視頻videohttp://file.papertrans.cn/765/764539/764539.mp4
概述Includes peer reviewed articles from the 5th International Conference on Data Science and Machine Learning 2023.Discusses the applications of new emerging technologies for professionals and researcher
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; ; ICDSMLA 2023, 15–16  Amit Kumar,Vinit
描述.This book (Volume 1) includes peer reviewed articles from the 5th International Conference on Data Science, Machine Learning and Applications, 2023, held at the G Narayanamma Institute of Technology and Sciences, Hyderabad on 15-16th December, India. ICDSMLA is one of the most prestigious conferences conceptualized in the field of Data Science & Machine Learning offering in-depth information on the latest developments in Artificial Intelligence, Machine Learning, Soft Computing, Human Computer Interaction, and various data science & machine learning applications. It provides a platform for academicians, scientists, researchers and professionals around the world to showcase broad range of perspectives, practices, and technical expertise in these fields. It offers participants the opportunity to stay informed about the latest developments in data science and machine learning..
出版日期Conference proceedings 2025
關(guān)鍵詞Soft Computing; Automation and Innovation; Artificial Intelligence; Medical Informatics; Algorithm Perfo
版次1
doihttps://doi.org/10.1007/978-981-97-8031-0
isbn_softcover978-981-97-8033-4
isbn_ebook978-981-97-8031-0Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1影響因子(影響力)




書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1影響因子(影響力)學(xué)科排名




書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1網(wǎng)絡(luò)公開度




書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1被引頻次




書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1被引頻次學(xué)科排名




書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1年度引用




書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1年度引用學(xué)科排名




書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1讀者反饋




書目名稱Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1讀者反饋學(xué)科排名




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發(fā)表于 2025-3-21 22:47:14 | 只看該作者
978-981-97-8033-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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發(fā)表于 2025-3-22 00:59:24 | 只看該作者
Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1978-981-97-8031-0Series ISSN 1876-1100 Series E-ISSN 1876-1119
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發(fā)表于 2025-3-22 08:23:58 | 只看該作者
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Deep Learning Model Development for an Automatic Healthcare Edge Computing Application,ed models are improved by performing the feature scaling followed by a separate classification phase. The proposed CAD model is experimentally evaluated using the medical images dataset. The results reveal the efficiency of the proposed model compared to underlying solutions.
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發(fā)表于 2025-3-22 16:20:43 | 只看該作者
A Comprehensive Review of Soft Computing Enabled Techniques for IoT Security: State-of-the-Art and Challenges Ahead,oT and provides a comprehensive literature review of Soft Computing based approaches to IoT security, including the different types of possible attacks. It also presents potential Soft Computing-based solutions for IoT security and discusses open research issues along with future research scope.
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發(fā)表于 2025-3-22 20:50:26 | 只看該作者
An AI Based Nutrient Tracking and Analysis System, automatically identify the food items while measuring the calories in the food. This method is a three-step process for segregating the foods, recognizing them, and guesstimating the volume of food that is consumed.
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發(fā)表于 2025-3-23 00:18:57 | 只看該作者
P. Lourdu Mahimai Doss,M. Gunasekaranf elements and sedimentary magnetism.??.Dr. Wei Lin works at the Institute of Geology and Geophysics, Chinese Academy of Sciences, China.978-3-642-43364-1978-3-642-38262-8Series ISSN 2190-5053 Series E-ISSN 2190-5061
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發(fā)表于 2025-3-23 08:59:16 | 只看該作者
Performance Analysis of Machine Learning Algorithms on Imbalanced Datasets Using SMOTE Technique,OTE in addressing this issue. Our results can be useful to practitioners working on imbalanced datasets to choose an appropriate machine-learning algorithm and to decide whether to use SMOTE to improve their model’s performance.
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