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.
Medical Data Analysis and Processing using Explainable Artificial Intelligence
By Rajkumar Viral, Divya Asija, Surender Salkuti
December 22, 2023
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 system, artificial intelligence, and machine learning based computing. •...
By Om Prakash Jena, Mrutyunjaya Panda, Utku Kose
November 06, 2023
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 ...
By Preeti Nagrath, Jafar A. Alzubi, Bhawna Singla, Joel J. P. C. Rodrigues, A. K. Verma
April 21, 2023
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 ...
By Bhavnesh Kumar, Bhanu Pratap, Vivek Shrivastava
July 29, 2022
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 ...
By Vikas Chaudhary, Moolchand Sharma, Prerna Sharma, Deevyankar Agarwal
December 08, 2021
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 ...