Machine Learning for Industrial Applications By Bhanu Kolla Prakash Copyright: 2024 | Status: Contracted | Expected Pub Date:2024/08/30 | Hardcover The main goal of the book is to provide a comprehensive and accessible guide that empowers readers to understand, apply, and leverage machine learning algorithms and techniques effectively in real-world scenarios. | |
Computational Intelligent Techniques in Mechatronics Edited by Kolla Bhanu Prakash, P. Satish Kumar, Ivan C. K. Tam, Wai Lok Woo and Vishal Jain Copyright: 2024 | Status: Published | Hardcover This book, set against the backdrop of huge advancements in artificial intelligence and machine learning within mechatronic systems, serves as a comprehensive guide to navigating the intricacies of mechatronics and harnessing its transformative potential. | |
Advanced Analytics and Deep Learning Models Edited by Archana Mire, Shaveta Malik and Amit Kumar Tyagi Copyright: 2022 | Status: Published | Hardcover The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. | |
Machine Learning Paradigm for Internet of Things Applications Edited by Shalli Rani, R. Maheswar, G. R. Kanagachidambaresan, Sachin Ahuja and Deepali Gupta Copyright: 2022 | Status: Published | Hardcover As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue. | |
Medical Imaging and Health Informatics Edited by Tushar H Jaware, K Sarat Kumar, Svetlin Antonov, and Ravindra D Badgujar Copyright: 2022 | Status: Published | Hardcover Provides a comprehensive review of artificial intelligence (AI) in medical imaging as well as practical recommendations for the usage of machine learning (ML) and deep learning (DL) techniques for clinical applications. | |
Digitization of Healthcare Data using Blockchain Edited by T. Poongodi, D. Sumathi, B. Balamurugan and K. S. Savita Copyright: 2022 | Status: Published | Hardcover The book gives a detailed description of the integration of blockchain technology for Electronic Health Records and provides the research challenges to consider in various disciplines such as supply chain, drug discovery, and data management. | |
Data Science Handbook A Practical Approach By Kolla Bhanu Prakash Copyright: 2022 | Status: Published | Hardcover This desk reference handbook gives a hands-on experience on different algorithms and popular techniques used in real-time in data science to all researchers working in various domains. | |
Integration of Renewable Energy Sources with Smart Grids Edited by A. Mahaboob Subahani, M. Kathiresh and G. R. Kanagachidambaresan Copyright: 2021 | Status: Published | Hardcover Provides comprehensive coverage of renewable energy and its integration with smart grid technologies. | |
Cognitive Engineering for Next Generation Computing A Practical Analytical Approach Edited by Kolla Bhanu Prakash, G.R. Kanagachidambaresan, V. Srikanth and E. Vamsidhar Copyright: 2021 | Status: Published | Hardcover All countries are working towards and developing smart city infrastructure and the technologies involved are deeply discussed in this book and provide compact solutions with a cognitive approach. | |
Role of Edge Analytics on Sustainable Smart City Development Edited by G.R. Kanagachidambaresan Copyright: 2020 | Status: Published | Hardcover This book addresses the recent real time challenges faced in sustainable smart city development and provides novel solutions to such problems. |