Inbunden, Engelska, 2024
Sustainable Farming through Machine Learning
Enhancing Productivity and Efficiency
Av Suneeta Satpathy, Bijay Kumar Paikaray, Ming Yang, Arun Balakrishnan
Del i serien Artificial Intelligence for Sustainable Engineering and Management
1811 kr
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Beskrivning
Produktinformation
- Utgivningsdatum: 2024-11-25
- Mått: 156 x 234 x 21 mm
- Vikt: 600 g
- Format: Inbunden
- Språk: Engelska
- Serie: Artificial Intelligence for Sustainable Engineering and Management
- Antal sidor: 282
- Förlag: Taylor & Francis Ltd
- ISBN: 9781032777498
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Mer om författaren
Suneeta Satpathy, PhD, is an Associate Professor in the Center for AI & ML, Siksha ‘O’ Anusandhan (Deemed to be) University, Odisha, India. Her research interests include computer forensics, cyber security, data fusion, data mining, big data analysis, decision mining, and machine learning. She has published papers in many international journals and conferences in repute. She has two Indian patents to her credit and is a member of IEEE, CSI, ISTE, OITS, and IE.Bijay Kumar Paikaray, PhD, is an Associate Professor at the Center for Data Science, Siksha ‘O’ Anusandhan (Deemed to be) University, Odisha. His interests include high- performance computing, information security, machine learning, and IoT.Ming Yang has a PhD in Computer Science from Wright State University, Dayton, Ohio, US, 2006. Currently he is a Professor in the College of Computing and Software Engineering Kennesaw State University, GA, USA. His research interests include multimedia communication, digital image/ video processing, computer vision, and machine learning.Arunkumar Balakrishnan, PhD, holds the position of Assistant Professor Senior Grade in the Computer Science and Engineering department at VIT- AP University. He obtained his PhD in Information Science and Engineering from Anna University, Chennai. He possesses 12 years of academic expertise and an additional 6 years of concurrent research experience in the domains of Cryptography, Medical Image Security, Blockchain, and NFT. His research interests encompass Cryptography, Network Security, Medical Image Encryption, Blockchain, lightweight cryptography methods, and NFT.
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