The idea behind this book is to simplify the journey of aspiring readers and researchers to understand the convergence of Big Data with the Cloud. This book presents the latest information on the adaptation and implementation of Big Data technologies in various cloud domains and Industry 4.0. Synergistic Interaction of Big Data with Cloud Computing for Industry 4.0 discusses how to develop adaptive, robust, scalable, and reliable applications that can be used in solutions for day-to-day problems. It focuses on the two frontiers - Big Data and Cloud Computing - and reviews the advantages and consequences of utilizing Cloud Computing to tackle Big Data issues within the manufacturing and production sector as part of Industry 4.0. The book unites some of the top Big Data experts throughout the world who contribute their knowledge and expertise on the different aspects, approaches, and concepts related to new technologies and novel findings. Based on the latest technologies, the book offers case studies and covers the major challenges, issues, and advances in Big Data and Cloud Computing for Industry 4.0. By exploring the basic and high-level concepts, this book serves as a guide for those in the industry, while also helping beginners and more advanced learners understand both basic and more complex aspects of the synergy between Big Data and Cloud Computing.

Connects four contemporary areas of research: Artificial Intelligence, big data analytics, knowledge modelling, and healthcare Covers a list of diverse topics related to healthcare and knowledge modelling Summarizes the most important recent and valuable research related to big data analytics in the healthcare sector Includes case studies related to the application of big data in healthcare Highlights modern developments, challenges, opportunities, and future research directions in healthcare

This book presents an overview and several applications of explainable artificial intelligence (XAI). It covers different aspects related to explainable artificial intelligence, such as the need to make the AI models interpretable, how black box machine/deep learning models can be understood using various XAI methods, different evaluation metrics for XAI, human-centered explainable AI, and applications of explainable AI in health care, security surveillance, transportation, among other areas. The book is suitable for students and academics aiming to build up their background on explainable AI and can guide them in making machine/deep learning models more transparent. The book can be used as a reference book for teaching a graduate course on artificial intelligence, applied machine learning, or neural networks. Researchers working in the area of AI can use this book to discover the recent developments in XAI. Besides its use in academia, this book could be used by practitioners in AI industries, healthcare industries, medicine, autonomous vehicles, and security surveillance, who would like to develop AI techniques and applications with explanations.

This book provides the reader with a thorough understanding of schizophrenia as a complex brain disorder by explaining the various aspects investigated for its cognizance from epigenetics to chemistry and physics to computational approaches. The book covers the key notions of schizophrenia from a variety of facets such as neurogenetics, neurochemistry, neuropharmacology, neurobiology, psychotherapy, psychiatric treatment, cognitive studies, behavioral and societal studies, and computational neurosciences. Individual chapters are focused on crucial topics such as cognitive-behavioral therapy, brain functioning, computational neuroscience, neuro-imaging, and many more. This book explains each section and chapter with utmost clarity to maintain comprehensiveness for every kind of reader. This book covers various classical as well as recent topics from basic to advance level knowledge regarding schizophrenia. The book's contributions regarding its inclusivity of topics, comprehensiveness of language, diversity in knowledge, and focus on the subject will attract all kinds of readers. It can be considered a single comprehensive handy reference book for beginners, including medical students, neuroscientists, researchers, clinicians, and medical practitioners. Cognizance of Schizophrenia will be an invaluable asset for all who are involved in neuroscience research or clinical studies.