Explainable AI (XAI) for Engineering Applications
About the Book Series
Explainable AI (XAI) has developed as a subfield of Artificial Inteligence, focussing on exposing complex AI models to humans in a systematic and interpretable manner. This area explores, discusses the steps and models involved in making intelligent decisions. This series will cover the working behavior and explains the ability of powerful algorithms such as neural networks, ensemble methods including random forests, and other similar algorithms to sacrifice transparency and explainability for power, performance, and accuracy in different engineering applications relates to the real world. Aimed at graduate students, academic researchers and professionals, the proposed series will focus key topics including XAI techniques for engineering applications, Explainable AI for Deep Neural Network Predictions, Explainable AI for Machine learning Predictions, XAI driven recommendation systems for Automobile and Manufacturing Industries, and Explainable AI for Autonomous Vehicles.
Big Data Analytics Framework for Smart Grids
1st Edition
Edited
By Rajkumar Viral, Divya Asija, Surender Salkuti
September 28, 2025
The text comprehensively discusses smart grid operations and the use of big data analytics in overcoming the existing challenges. It covers smart power generation, transmission, and distribution, explains energy management systems, artificial intelligence, and machine learning–based computing. ...
Medical Data Analysis and Processing using Explainable Artificial Intelligence
1st Edition
Edited
By Om Prakash Jena, Mrutyunjaya Panda, Utku Kose
June 27, 2025
The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and ...
Smart Distributed Embedded Systems for Healthcare Applications
1st Edition
Edited
By Preeti Nagrath, Jafar A. Alzubi, Bhawna Singla, Joel J. P. C. Rodrigues, A. K. Verma
November 29, 2024
This book discusses the applications and optimization of emerging smart technologies in the field of healthcare. It further explains different modeling scenarios of the latest technologies in the healthcare system and compares the results to better understand the nature and progress of diseases in ...
Explainable Artificial Intelligence for Biomedical and Healthcare Applications
1st Edition
Edited
By Aditya Khamparia, Deepak Gupta
October 09, 2024
This reference text helps us understand how the concepts of explainable artificial intelligence (XAI) are used in the medical and healthcare sectors. The text discusses medical robotic systems using XAI and physical devices having autonomous behaviors for medical operations. It explores the usage ...
Artificial Intelligence for Solar Photovoltaic Systems: Approaches, Methodologies, and Technologies
1st Edition
Edited
By Bhavnesh Kumar, Bhanu Pratap, Vivek Shrivastava
October 04, 2024
This book provides a clear explanation of how to apply artificial intelligence (AI) to solve the challenges in solar photovoltaic technology. It introduces readers to new AI-based approaches and technologies that help manage and operate solar photovoltaic systems effectively. It also motivates ...
Deep Learning in Gaming and Animations: Principles and Applications
1st Edition
Edited
By Vikas Chaudhary, Moolchand Sharma, Prerna Sharma, Deevyankar Agarwal
October 04, 2024
Over the last decade, progress in deep learning has had a profound and transformational effect on many complex problems, including speech recognition, machine translation, natural language understanding, and computer vision. As a result, computers can now achieve human-competitive performance in a ...
Explainable Artificial Intelligence for Autonomous Vehicles: Concepts, Challenges, and Applications
1st Edition
Edited
By Kamal Malik, Moolchand Sharma, Suman Deswal, Umesh Gupta, Deevyankar Agarwal, Yahya Obaid Bakheet Al Shamsi
August 14, 2024
Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous ...