New tools for early detection of cognitive brain diseases like depression, epilepsy, parkinson’s disease etc.and the design, analysia, application of such tools. Immense technical value, novelty, importance of work which is valuable for researchers. Incorporates recent technology - breakthrougha in treating brain disease patients.

This book involves the design, analysis, and application of various cognitive predictive maintenance tests with the help of tools like vibration analysis, ultrasonic analysis, infrared analysis, oil analysis, laser-shaft alignment, and motor circuit analysis in the prediction of various cognitive diseases such as epilepsy, Parkinson's disease, Alzheimer's disease, and depression. These are needed since there are no proper medical tests available to predict these diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests. Key features: Incorporates innovative processes for treating cognitive diseases. Early and exact identification and treatment strategies are incorporated. Future technologies like artificial intelligence, machine learning, the IoT, and data science are used to find solutions. Analysis with existing cognitive disease solutions is incorporated and simulations provided. The novelty of the book lies in the accurate prediction of cognitive diseases. Encompassing future technologies and various communication protocols or devices available for cognitive diseases for the design of new equipment are an outcome of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of a product. The book could well be added to the curriculum of medical colleges and biomedical engineering students. Possible vendors include biomedical research centers like Biotechnika and the Indian Council of Medical Research (ICMR). It would be a breakthrough for biomedical companies to launch their new products.

Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management.

This book presents the current state of research in information systems and digital transformation. Due to the global trend of digitalization and the impact of the Covid 19 pandemic, the need for innovative, high-quality research on information systems is higher than ever. In this context, the book covers a wide range of topics, such as digital innovation, business analytics, artificial intelligence, and IT strategy, which affect companies, individuals, and societies. This volume gathers the revised and peer-reviewed papers on the topic "Technology" presented at the International Conference on Information Systems, held at the University of Duisburg-Essen in 2021.

Cognitive aging is a flourishing area of research. A significant amount of new data, a number of new theoretical notions, and many new research issues have been generated in the past ten years. This new edition reviews new findings and theories, enables the reader to assess where the field is today, and evaluates its points of growth. The chapters are organized to run from reviews of current work on neuroimaging, neuropsychology, genetics and the concept of brain reserve, through the 'mainstream' topics of attention, memory, knowledge and language, to a consideration of individual differences and of cognitive aging in a lifespan context. This edition continues to feature the broad range of its predecessors, while also providing critical assessments of current theories and findings.

Library Journal, Starred Review Keep your brain healthy as you age by practicing proper maintenance and learning to identify problems as they arise. Have you ever spent 10 minutes looking for your reading glasses, and they were on the top of your head? Or, have you walked into a room and forgotten why you went there? Most people, even younger ones, have had these experiences but when should such instances be something of concern? What are the normal signs of aging? Is there anything you can do to maintain your brain health as you age? Brain Health as You Age provides useful, achievable actions you can take to reduce your risk of brain function decline, accurate information about identifying problems, and real solutions. The authors offer useful anecdotes and scientifically validated information -- important tools in separating myth from reality. The authors separate fact from fiction to ensure that recommendations are evidence-based, practical, useful, achievable, and measurable. Written by a world-renowned cognitive specialist, an extraordinary house call physician, and an award-winning author on eldercare issues, this book addresses both normal and abnormal decline and best practices for addressing both. Brain health, cognitive impairment, and mood disorders are serious issues. This book is an accessible starting point for understanding healthy brain aging and when to seek help. It’s never too soon to start preventing cognitive decline, or understanding it once it’s begun, and this book offers the perfect entry point for readers young and old.

Due to the growing use of web applications and communication devices, the use of data has increased throughout various industries, including business and healthcare. It is necessary to develop specific software programs that can analyze and interpret large amounts of data quickly in order to ensure adequate usage and predictive results. Cognitive Analytics: Concepts, Methodologies, Tools, and Applications provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques. It also examines the incorporation of pattern management as well as decision-making and prediction processes through the use of data management and analysis. Highlighting a range of topics such as natural language processing, big data, and pattern recognition, this multi-volume book is ideally designed for information technology professionals, software developers, data analysts, graduate-level students, researchers, computer engineers, software engineers, IT specialists, and academicians.

This book considers the most contemporary innovations propelling the extractive industries forward while also creating new environmental and social challenges. The socio-ecological fabric of innovation in the extractive industries is considered through an integrative approach that brings together engineers, natural scientists, and social scientists—academics and practitioners—giving an empirically grounded and realistic evaluation of the innovations in this sector. It synthesizes a series of questions including:

A practical guide on how to assess and treat schizophrenia and related disorders using cognitive rehabilitation.