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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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发表于 2025-3-21 17:13:21 | 显示全部楼层 |阅读模式
书目名称Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1
副标题ICDSMLA 2023, 15–16
编辑Amit Kumar,Vinit Kumar Gunjan,Yu-Chen Hu
视频video
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
丛书名称Lecture Notes in Electrical Engineering
图书封面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
关键词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
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书目名称Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1影响因子(影响力)




书目名称Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1影响因子(影响力)学科排名




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书目名称Proceedings of the 5th International Conference on Data Science, Machine Learning and Applications; Volume 1网络公开度学科排名




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




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978-981-97-8033-4The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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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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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.
发表于 2025-3-22 16:20:43 | 显示全部楼层
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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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.
发表于 2025-3-23 00:18:57 | 显示全部楼层
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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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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