Prateek Agrawal – författare

Artificial Intelligence in Brain Disorders: Innovations in Diagnosis and Treatment focuses on the utilization of AI and machine learning to enhance current practices in the diagnosis and treatment of neurological disorders. Each chapter provides in-depth exploration of specific areas where AI can improve existing methodologies, offering practical guidance, case studies, and research findings that can be directly applied in the field. It explains the application of AI in diagnosing and treating major neurological illnesses and showcases the potential of AI in predicting diseases such as epilepsy and neurodegenerative disorders.As such, this book offers a detailed overview of AI and machine learning techniques relevant to neurological research.Offers a comprehensive exploration of cutting-edge AI, big data analytics, and machine learning methodologies specifically applied in the field of neurologyPresents various machine learning techniques such as image segmentation, classification, neural networks, and image processingShowcases techniques in diagnosing early neurological disease identification and deep learning applications using advanced brain imaging technologies like EEG, MEG, fMRI, fNIRS, and PETProvides practical insights and case studies

AI and Precision Oncology: Innovations in Diagnosis and Drug Development examines the transformative role of artificial intelligence and machine learning in oncology. This book addresses the urgent need for early cancer diagnosis and effective therapeutic treatments, highlighting how technological advancements enable rapid analysis of large datasets to enhance patient outcomes. The content explores clinical applications of next-generation sequencing (NGS) integrated with AI technologies, covering risk prediction, disease detection, biomarker identification, and therapeutic target discovery. It emphasizes the importance of bioinformatics tools in analyzing NGS data and showcases AI-powered applications that improve cancer diagnosis and prognostication. For the academic audience, this book provides valuable insights into the latest advancements in AI and precision oncology. It equips researchers and clinicians with knowledge on personalized treatment strategies and recent clinical studies, ultimately enhancing understanding of how AI can revolutionize cancer care and improve patient management.Provides an in-depth exploration of how artificial intelligence and machine learning are integrated into various aspects of oncology, including diagnosis, treatment planning, and patient managementEmphasizes the critical role of next-generation sequencing technologies in precision oncology, detailing their applications in risk prediction, biomarker identification, and therapeutic target discoveryHighlights how AI-driven tools can assist in tailoring personalized treatment options based on genetic, environmental, and lifestyle factors

This book gives a complete overview of cloud computing: its importance, its trends, innovations, and its amalgamation with other technologies.Key Features:In-depth explanation of emerging technologies utilizing cloud computingSupplemented with visuals, flow charts, and diagramsReal-time examples includedCaters to beginners, as well as advanced researchers, by explaining implications, innovations, issues, and challenges of cloud computingHighlights the need for cloud computing and the true benefits derived by its application and integration in emerging technologiesSimple, easy language

This book gives a complete overview of cloud computing: its importance, its trends, innovations, and its amalgamation with other technologies.Key Features:In-depth explanation of emerging technologies utilizing cloud computingSupplemented with visuals, flow charts, and diagramsReal-time examples includedCaters to beginners, as well as advanced researchers, by explaining implications, innovations, issues, and challenges of cloud computingHighlights the need for cloud computing and the true benefits derived by its application and integration in emerging technologiesSimple, easy language

MACHINE LEARNING AND DATA SCIENCE Written and edited by a team of experts in the field, this collection of papers reflects the most up-to-date and comprehensive current state of machine learning and data science for industry, government, and academia. Machine learning (ML) and data science (DS) are very active topics with an extensive scope, both in terms of theory and applications. They have been established as an important emergent scientific field and paradigm driving research evolution in such disciplines as statistics, computing science and intelligence science, and practical transformation in such domains as science, engineering, the public sector, business, social science, and lifestyle. Simultaneously, their applications provide important challenges that can often be addressed only with innovative machine learning and data science algorithms. These algorithms encompass the larger areas of artificial intelligence, data analytics, machine learning, pattern recognition, natural language understanding, and big data manipulation. They also tackle related new scientific challenges, ranging from data capture, creation, storage, retrieval, sharing, analysis, optimization, and visualization, to integrative analysis across heterogeneous and interdependent complex resources for better decision-making, collaboration, and, ultimately, value creation.

TRUST-BASED COMMUNICATION SYSTEMS FOR INTERNET OF THINGS APPLICATIONSHighlighting the challenges and difficulties in implementing trust-based communication systems for Internet of Things (IoT) services and applications, this innovative new volume is a critical reference source for academics, professionals, engineers, technology designers, analysts, and students.The primary objective of this edited book is to deliver technologies to improve trust and eliminate malicious actors in participatory exchanges throughout communication using Internet of Things (IOT) devices such that these methods should not only be able to identify bad actors but also to improve communication and trust in the environment without violating object privacy. Whether as a reference for the engineer or scientist or a textbook for the student, this is a must-have for any library.