Applied Machine Learning and Data Analytics edited by M. A. Jabbar, Fernando Ortiz-RodrÃguez, Sanju Tiwari, Patrick Siarry. [electronic resource] :
Material type: TextPublication details: Cham Springer Nature Switzerland 2023Edition: 1st ed. 2023Description: XII, 242 p. 113 illus., 94 illus. in color. online resourceISBN:- 9783031342226
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Item type | Home library | Call number | Status | Notes | Date due | Barcode | Item holds | |
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e-Book | S. R. Ranganathan Learning Hub Online | Available | Platform:Springer | EB2256 |
This book constitutes the refereed proceedings of the 5th International Conference on Applied Machine Learning and Data Analytics, AMLDA 2022, held in Reynosa, Tamaulipas, Mexico, during December 22-23, 2022. The 16 full papers and 4 short papers included in this book were carefully reviewed and selected from 89 submissions. They were organized in topical sections as follows: Machine learning, Healthcare and medical imaging informatics; biometrics; forensics; precision agriculture; risk management; robotics and satellite imaging.
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