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Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications : ICDSMLA 2022, 26–27 December, Hyderabad, India / edited by Amit Kumar, Vinit Kumar Gunjan, Yu-Chen Hu, Sabrina Senatore
(Lecture Notes in Electrical Engineering. ISSN:18761119 ; 1038)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Singapore : Springer Nature Singapore : Imprint: Springer)
出版年	2023
大きさ	VIII, 441 p. 254 illus., 189 illus. in color : online resource
著者標目	Kumar, Amit editor Gunjan, Vinit Kumar editor Hu, Yu-Chen editor Senatore, Sabrina editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0004705	Computer Scinece R0 2005-6,2022-3				9789819920587

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一般注記	Chapter 1: Mr. Bot – A Survey on Arduino Based Autonomous Robotic Vehicle -- Chapter 2: Opinion Mining based Fake Review Detection using Deep Learning Technique -- Chapter 3: Analysis of the Seer dataset for lung cancer diagnosis for Stage classification and survival Analysis -- Chapter 4: Data Analytics for Athlete Safety in Training -- Chapter 5: Social Media + Machine Learning to Offer Clues on Suicide Ideation Concerns -- Chapter 6: Analysis of Various Techniques of Fetal Growth Detection This book includes peer reviewed articles from the 4th International Conference on Data Science, Machine Learning and Applications, 2022, held at the Hyderabad Institute of Technology & Management on 26-27th 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 HTTP:URL=https://doi.org/10.1007/978-981-99-2058-7
件　名	LCSH:Artificial intelligence LCSH:Computational intelligence LCSH:Business information services LCSH:Neural networks (Computer science) LCSH:Internet of things LCSH:Quantitative research FREE:Artificial Intelligence FREE:Computational Intelligence FREE:IT in Business FREE:Mathematical Models of Cognitive Processes and Neural Networks FREE:Internet of Things FREE:Data Analysis and Big Data
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00004093
ISBN	9789819920587