Sustainable Farming through Machine Learning (Artificial Intelligence for Sustainable Engineering and Management)
Author:Suneeta Satpathy (Editor), Bijay Kumar Paikaray (Editor), Ming Yang (Editor), Arun Balakrishnan (Editor)
Publisher finelybook 出版社:CRC Press
Edition 版本:1st edition
Publication Date 出版日期:2024-11-25
Language 语言:English
Print Length 页数:300pages
ISBN-10:1032777494
ISBN-13:9781032777498
Book Description
About the Author
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.
下载地址
相关推荐
Implementing and Administering Cisco Solutions 200-301 CCNA Exam Guide: Everything you need to pass the 200-301 CCNA v1.1 exam and advance your career as a network engineer, 2nd Edition
Python Data Science Cookbook: Practical solutions across fast data cleaning, processing, and machine learning workflows with pandas, NumPy, and scikit-learn
Ruby for Beginners, From Fundamentals to Building Full-Stack Applications: The Ultimate Guide to Learning Ruby and Creating Interactive, High-Quality Code
Quantum Computing: From Concepts to Code
Fundamentals of Web Development
Foundations of Decision Analysis (Toronto Academic Press)