This book provides in-depth explanations and discussions of the latest applications of Artificial Intelligence (AI), machine learning, and the Internet of Medicine, offering readers the cutting edge on this rapidly growing technology that has the potential to transform healthcare and improve patient outcomes.Over the past five years, there have been significant advances in healthcare through the use of artificial intelligence (AI) and machine learning (ML) technolo...

Secure Energy Optimization: Leveraging Internet of Things and Artificial Intelligence for Enhanced Efficiency is essential for anyone looking to navigate the transformative landscape of energy management, as it expertly combines the principles of IoT and AI with real-world case studies to provide actionable insights for achieving sustainable and efficient energy optimization.Energy is rapidly changing, with an emphasis on sustainable and efficient energy u...

Multimodal Data Fusion for Bioinformatics Artificial Intelligence is a must-have for anyone interested in the intersection of AI and bioinformatics, as it delves into innovative data fusion methods and their applications in ‘omics’ research while addressing the ethical implications and future developments shaping the field today.Multimodal Data Fusion for Bioinformatics Artificial Intelligence is an indispensable resource for thos...

This book presents Industry 4.0 enabler technologies and tools. It also highlights some of the existing empirical applications in the context of manufacturing. The book elucidates innovative thematic concepts of Industry 4.0 and its perspectives. It establishes routes to empirically utilize Industry 4.0 standards for manufacturing companies. The book can be used as a reference for professionals/engineers, researchers, and students.

The book is a comprehensive guide that explores the use of artificial intelligence and machine learning in drug discovery and development covering a range of topics, including the use of molecular modeling, docking, identifying targets, selecting compounds, and optimizing drugs.The intersection of Artificial Intelligence (AI) and Machine Learning (ML) within the field of drug design and development represents a pivotal moment in the history of healthcare and pharma...

This book discusses the adverse effects of climatic changes on our planet. It examines AI-based tools and technologies and how they can assist in identifying energy emission reductions, CO2 removal, and support the development of greener transportation networks, monitoring deforestation, and forecasting extreme weather events.AI for Climate Change and Environmental Sustainability identifies and discusses in detail the importance of environmental sustainability based on acc...

Neuroinformatics for Drug Discovery: Data-Driven Approaches to Understand and Treat Brain Diseases is an exciting, student-written guide that explores how computational science, bioinformatics, and big data analytics are revolutionizing the discovery of new brain therapies. Authored by Kompala Jhansi, this book integrates neuroscience , machine learning , and systems biology in a way that makes even the most advanced concepts both accessible and inspiring.Written fr...

Comprehensive reference exploring the benefits and implementation of digital twins in industrial production and manufacturingDigital Twins in Industrial Production and Smart Manufacturing provides an overview of digital twin theoretical concepts, techniques, and recent trends used to meet the requirements and challenges of industrial production and smart manufacturing. The text describes how to achieve industrial excellence through virtual factory simulati...

The book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems.Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, met...

The purpose of this book is to discuss the trends and key drivers of Internet of Things (IoT) and artificial intelligence (AI) for automation in Industry 4.0. IoT and AI are transforming the industry thus accelerating efficiency and forging a more reliable automated enterprise. AI-driven IoT systems for Industry 4.0 explore current research to be carried out in the cutting-edge areas of AI for advanced analytics, integration of industrial IoT (IIoT) solutions and Edge components, automatio...

The book provides a multidisciplinary outlook on using Artificial Intelligence (AI)-based solutions in the field of Personalized Medicine and its transitioning towards Personalized Digital Medicine.The first section integrates different perspectives on AI-based solutions and highlights their potential in biomedical research and patient care. In the second section, the authors present several real-world examples that demonstrate the successful use of AI technologies in various conte...

Generative AI has immensely influenced various fields, such as education, marketing, art and music, and especially healthcare. Generative AI can benefit the patient through various approaches. For instance, it can enhance the image qualities negatively affected by radiation reduction, preventing patients from needing to repeat the image-taking process. Also, the generation of one type of image from another more expensive one can help patients save funds. Generative AI facilitates the admin...