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This book serves as a critical resource that bridges the gap between burgeoning technology and its practical implementation. The book starts with an in-depth exploration of healthcare 5.0 principles, laying the foundation for the reader to understand the current shifts in healthcare paradigms. Then, it dives into the intricacies of generative models in healthcare, detailing how these algorithms work and the applications they serve. The book further delves into the subsets of generative machine learning and deep learning techniques in healthcare. As we move towards more complex applications, the book takes a turn to address the critical subject of interpretability and explainability in genera...
Explainable IoT Application: A Demystification is an in-depth guide that examines the intersection of the Internet of Things (IoT) with AI and Machine Learning, focusing on the crucial need for transparency and interpretability in IoT systems. As IoT devices become more integrated into daily life, from smart homes to industrial automation, it is increasingly important to understand and trust the decisions they make. The book starts by covering the basics of IoT, highlighting its importance in modern technology and its wide-ranging applications in fields such as healthcare, transportation, and smart cities. It then delves into the concept of explainability, stressing the need to prevent IoT s...
As the demand for computing surges, the need for sustainable solutions has never been more urgent. Energy-efficient algorithms and green data centers are the at the forefront of sustainable computing which aims to reduce carbon footprints while maintaining high- performance capabilities. Traditional data centers consume a vast amount of electricity, contributing to the environmental impact. By integrating energy efficient workloads and renewable energy sources, green data centers can minimize waste and enhance efficiency. These advancements support environmental sustainability while driving cost savings and operational resilience, paving the way for a greener digital future. Energy Efficient...
This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, c...
Reasoning enhances the logical thinking skills. It determines one’s aptitude which is why many competitive examinations ask questions from it. Be it, banking, SSC, railway, IAS/PCS, or any other government recruitment exams, candidates have to score better in Reasoning Test which is a hard nut to crack for many. How to Crack Test of Reasoning is a perfect study resource to learn the problem solving skills of reasoning to make a proper preparation for the competitive examinations. It has been revised carefully according to the latest examination pattern and is divided into key chapters of Verbal Reasoning, Analytical Reasoning, and Non-Verbal Reasoning. It facilitates a complete coverage of the theory followed by exercises graded into base level and expert level for self-evaluation. Each chapter covers the latest exam questions. Also, it carries more than 2500 objective questions as a whole to boost the preparation level. Written in an easy to read manner and incorporated with complete study material, it is an amazing book to climb the ladder of success in your forthcoming competitive exams. TOC Verbal Reasoning, Analytical Reasoning, Non-Verbal Reasoning
Annotation This series provides diabetologists with the most recent developments in the diagnosis and treatment of Type 2 Diabetes Mellitus. New drug classes are covered in depth and each article is followed by a comment from the editors highlighting the key features of the topic.
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