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Intelligent IoT-based Diagnostic and
Assistive Systems for Neurological Diso

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

Methods and Applications

Advanced Techniques for Modifying Metaheuristics

The objective of the book is to provide advanced topics ranging from fatigue failure and wear of biomaterials, lasers in medicine, 3D printing of scaffolds, tissue engineering, stem cells to case studies like hip implants, heart valves left ventricular pumps and coronary stents, to name a few. It is hoped by providing such advanced topics and case studies the reader may have a deeper understanding on the design process, materials selection, regulatory compliance and an multidisciplinary approach to designing materials for medical devices. Part 1: Fundamentals of this book already provided a basic understanding on the engineering and processing aspects of biomaterials used in medical applications. Of paramount importance is the tripartite relationship between material properties, processing methods and design. As the target audiences cover a wide interdisciplinary field, each chapter is written with a detailed background so that audience of another discipline will be able to understand. For the more knowledgeable reader, a detailed list of references is included.

Designing Materials For Medical Devices: Advanced Topics In Materials Engineering And Design For Medical Devices

Medical Robots and Devices: New Developments and Advances

AI and Data Science in Medical Research focuses on the integration of AI and data science into medical research, highlighting their impact on drug discovery, medical imaging, diagnostics, and genomic medicine. The book addresses the acceleration of therapeutic compound discovery and optimization of drug development pipelines through AI. The volume also discusses advancements in medical imaging, including early disease detection and neuroimaging. Additionally, it covers the application of AI in genomic medicine, offering insights into personalized treatment strategies. The volume concludes with an examination of AI's role in public health surveillance, particularly in disease detection and epidemiological research.

AI and Data Science in Medical Research

This book highlights the enduring synergy between information technology and decision-making tools, showcasing how advancements in one field drive progress in the other. Featuring the discoveries of esteemed researchers from the International Journal of Information Technology and Decision Making, it provides an insightful exploration of foundational concepts and cutting-edge techniques.This review volume opens with a broad overview of fundamental concepts like the Analytic Hierarchy Process (AHP) and Threat-Oriented Person Screening Integrated System, (TOPSIS) across the past decades. Subsequent chapters explore how theoretical advances find practical application in diverse fields.In this book, techniques from fuzzy logic find usage in uncertainty modelling, followed by the use of feature selection and recommendation in machine learning. The use of advanced optimization techniques for applications in price forecasting and the Internet of Things (IoT) are also covered. Additionally, the work presents novel methods under a neutrosophic environment as well as global and local importance used for multi-criteria decision-making. The prolific research presented helps to expand the repertoire of approaches to tackle problems in business strategy, healthcare and public policy.This comprehensive resource is an essential reference for practitioners and researchers seeking to expand their expertise in decision-making and technology-driven solutions.

Innovative Approaches To Decision Making: Bridging It And Decision Science

A Practical Approach

Applied Machine Learning in Chemical Process Engineering

Artificial Intelligence and Machine Learning in Data Science and Analytics

An expert compilation of on-device training techniques, regulatory frameworks, and ethical considerations of TinyML design and development In Tiny Machine Learning: Design Principles and Applications, a team of distinguished researchers delivers a comprehensive discussion of the critical concepts, design principles, applications, and relevant issues in Tiny Machine Learning (TinyML). Expert contributors introduce a new low power resource, offering vast applications in IoT devices with system-algorithm co-design. Tiny Machine Learning explores TinyML paradigms and enablers, TinyML for anomaly detection, and the learning panorama under TinyML. Readers will find explanations of TinyML devices and tools, power consumption and memory in IoT microcontrollers, and lightweight frameworks for TinyML. The book also describes TinyML techniques for real-time and environmental applications. Additional topics covered in the book include: <ul> <li>A thorough introduction to security and privacy techniques for TinyML devices, including the implementation of novel security schemes</li> <li>Incisive explorations of power consumption and memory in IoT MCUs, including ultralow-power smart IoT devices with embedded TinyML</li> <li>Practical discussions of TinyML research targeting microcontrollers for data extraction and synthesis</li> </ul> Perfect for industry and academic researchers, scientists, and engineers, Tiny Machine Learning will also benefit lecturers and graduate students interested in machine learning.

Tiny Machine Learning: Design Principles and Applications

AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity

More Everything Forever

Applied Science and Engineering of Wound Dressings and their Clinical Effectiveness: From Design Principles to Physiological Performance addresses the measurable physical, chemical, biomaterial, fluid structure, mechanical and thermal characteristics that are imperative for a dressing to effectively treat acute and chronic wounds. Divided into two parts, the book discusses the properties of wound dressings, their structure, and how they interact with skin surfaces based on scientific investigation and testing. It also discusses potential tradeoffs, including associated costs of manufacturing, clinical performance characteristics of a dressing, e.g., ease of application and removal, the ability of the dressing to stay in place, and more. This book will be valuable for all professionals involved in the treatment of all types of wounds, including biomedical engineers, material scientists, clinicians across all the relevant medical disciplines, industrialists and regulatory professionals in the field of wound care, academics, scientists and entrepreneurs in the field of medical devices, and undergraduate and graduate bioengineering and medical engineering students who are interested in the structure and function of wound dressings.

From Design Principles to Physiological Performance

Applied Science and Engineering of Wound Dressings and Their Clinical Effectiveness

Intelligent IoT-based Diagnostic and Assistive Systems for ...

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