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Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications ICDSMLA 2022, 26–27 December, Hyderabad, India /

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 th...

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Dades bibliogràfiques
Autor corporatiu: SpringerLink (Online service)
Altres autors: Kumar, Amit (Editor), Gunjan, Vinit Kumar (Editor), Hu, Yu-Chen (Editor), Senatore, Sabrina (Editor)
Format: Electrònic eBook
Idioma:anglès
Publicat: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edició:1st ed. 2023.
Col·lecció:Lecture Notes in Electrical Engineering, 1038
Matèries:
Artificial intelligence.
Computational intelligence.
Business information services.
Neural networks (Computer science) .
Internet of things.
Quantitative research.
Artificial Intelligence.
Computational Intelligence.
IT in Business.
Mathematical Models of Cognitive Processes and Neural Networks.
Internet of Things.
Data Analysis and Big Data.
Accés en línia:https://doi.org/10.1007/978-981-99-2058-7
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Descripció
Sumari: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.
Descripció física:1 online resource (VIII, 441 p. 254 illus.). 189 illus. in color.
ISBN:9789819920587
ISSN:1876-1119 ;
DOI:10.1007/978-981-99-2058-7

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