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Proceedings of the 6th International Conference on Data Science, Machine Learning and Applications, Volume 2 (eBook)

ICDSMLA 2024, 13-14 December, Tirupati, India
Artikelnummer: 978-981-9558-35-3
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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This book includes peer reviewed articles from the 6th International Conference on Data Science, Machine Learning and Applications, 2024, held at Tirupati on 13-14th December, in 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.

This book includes peer reviewed articles from the 6th International Conference on Data Science, Machine Learning and Applications, 2024, held at Tirupati on 13-14th December, in 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.

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VerlagSpringer Nature Singapore
EinbandPDF
Erscheinungsjahr2026
Seitenangabe1079 S.
AusgabekennzeichenEnglisch
AbbildungenXXII, 1079 p. 398 illus., 338 illus. in color.
Masse106'948 KB
PlattformPDF
ReiheLecture Notes in Electrical Engineering; Computer Science; Computer Science ; Springer Nature Proceedings Computer Science
AutorKumar, Amit (Hrsg.) / Gunjan, Vinit Kumar (Hrsg.) / Senatore, Sabrina (Hrsg.) / Hu, Yu-Chen (Hrsg.)

Alle Bände der Reihe "Lecture Notes in Electrical Engineering; Computer Science; Computer Science (R0); Springer Nature Proceedings Computer Science"

Über den Autor Amit (Hrsg.) Kumar

Prof. Amit Kumar is Professor at UPES, India, and a Clarivate Highly Cited Researcher. Ranked among the world's top 2% scientists, his research spans nanotechnology, environmental remediation, food waste valorization, food packaging, biomaterials, and sustainable energy. He has published over 350 papers, authored seven books, and holds multiple patents.Prof. Chin Wei Lai is a Full Professor at the University of Malaya and a globally recognized researcher in nanotechnology, photocatalysis, renewable energy, and environmental sustainability. He has published over 300 research papers, authored more than 100 book chapters, received over 15,000 citations, and is listed among the world's top 2% scientists.Piyush Verma is a DST-INSPIRE Senior Research Fellow, supported by the Department of Science and Technology (DST), Ministry of Science and Technology, Government of India, at UPES, Dehradun, India. His research focuses on agro-food waste valorization, green extraction technologies, prebiotics, sustainable food processing, intelligent packaging, and circular bioeconomy. He has published several SCI papers, book chapters, and patents.

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