This book traces the Utilities of AI, IoT and Blochchain in contemporary issues. It analyses how AI and IoT is primarily being driven by "Reshaping Technological Perspectives" as the only "factor of Applications" and its consequences for the global educational development. Artificial Intelligence (AI), IoT & Blockchain Technology refers to the development of computer systems or machines that can perform tasks that typically require human intelligence. This book presents both theoretical foundations of AI and an indication of the ways that current techniques can be used in application programs. With the revision, most of the content has been preserved as it is, and an effort has been put in on adding new topics that are in sync with the recent developments in this rehabilitation field. A tract for the times, this edition will be a major intervention in rehabilitation sector that is heavily debated but rarely understood.

Ethical Frameworks in Special Education: A Guide for Researchers is an essential edited volume that navigates the complex ethical landscape of special education research. This guide provides a comprehensive overview of ethical principles and considerations unique to the field, emphasizing the importance of respecting the rights and dignity of individuals with disabilities. Each chapter offers practical insights and case studies, addressing topics such as informed consent, confidentiality, and the balancing of risks and benefits. The book is an invaluable resource for researchers committed to conducting ethical, responsible, and impactful studies that advance knowledge and practice in special education.

"Transforming Learning: The Power of Educational Technology" delves into the dynamic landscape of modern education driven by technological advancements. This book explores how digital tools, from interactive software and virtual classrooms to AI-driven learning platforms, are reshaping traditional teaching methods. It examines the potential of educational technology to enhance student engagement, personalize learning experiences, and improve outcomes. The book provides insights into successful implementations of technology in diverse educational settings and offers practical strategies for educators and policymakers to effectively integrate these tools. Through case studies and expert analysis, it highlights the transformative impact of technology on education's future.

There is no doubt that there has been much excitement regarding the pioneering contributions of artificial intelligence (AI), the internet of things (IoT), and blockchain technologies and tools in visualizing and realizing smarter as well as sophisticated systems and services. However, researchers are being bombarded with various machine and deep learning algorithms, which are categorized as a part and parcel of the enigmatic AI discipline. The knowledge discovered gets disseminated to actuators and other concerned systems in order to empower them to intelligently plan and insightfully execute appropriate tasks with clarity and confidence. The IoT processes in conjunction with the AI algorithms and blockchain technology are bound to lay out a stimulating foundation for producing and sustaining smarter systems for society. Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology articulates and accentuates various AI algorithms, fresh innovations in the IoT, and blockchain spaces. The domain of transforming raw data to information and to relevant knowledge is gaining prominence with the availability of data ingestion, processing, mining, analytics algorithms, platforms, frameworks, and other accelerators. Covering topics such as blockchain applications, Industry 4.0, and cryptography, this book serves as a comprehensive guide for AI researchers, faculty members, IT professionals, academicians, students, researchers, and industry professionals.

Modern Intervention Tools for Rehabilitation addresses current advancements in rehabilitation to better equip clinicians and researchers in the field. This resource will equip professionals for better patient outcomes and improve future rehabilitation research quality. An interdisciplinary understanding of the rehabilitation field is crucial for improved patient care and outcomes, with relevance to patient care in other disciplines as well. With chapters dedicated to diagnostics, choosing appropriate techniques, managing medical treatment, and proper equipment care, readers will be well-equipped to decide on protocols, increase patient outcomes, and improve quality of life. - Discusses experimental results and evidence related to modern intervention tools and techniques for re-education and rehabilitation - Outlines conventional and recent advancement approaches - Features individual chapter introductions and summaries to provide a comprehensive introduction - Describes future perspectives in the field

In recent years, the application of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare has been increasing. We are approaching a world where connected smart devices tell people when they need to visit a doctor because these devices will be able to detect health problems and discover symptoms of illness that may need medical care. AI-collaborative IoT technologies can help medical professionals with decision-making. These technologies can also help develop a sustainable and smart healthcare system. AI and IoT Technology and Applications for Smart Healthcare Systems helps readers understand complex scientific topics in a simple and accessible way. It introduces the world of AI-collaborative IoT physics, explaining how this technology behaves at the smallest level and how this can revolutionize healthcare. The book shows how IoT technology and AI can work together to make computers more powerful and capable of solving complex problems in the healthcare sector. Exploring the effect of AI-collaborative technology on IoT technologies, the book discusses how IoT can benefit from AI algorithms to enable machines to learn, make decisions, and process information more efficiently. Because smart machines create more perceptive devices and systems, the application of this technology raises important ethical questions about privacy, security, and the responsible development of healthcare IoT technology, which this book covers. The book also provides insight into the potential applications of these technologies not only in the healthcare industry but also in related fields, such as smart transportation, smart manufacturing, and smart cities.

The objective of this book is to showcase recent solutions and discuss the opportunities that AI, blockchain, and even their combinations can present to solve the issue of Internet of Things (IoT) security. It delves into cuttingedge technologies and methodologies, illustrating how these innovations can fortify IoT ecosystems against security threats. The discussion includes a comprehensive analysis of AI techniques such as machine learning and deep learning, which can detect and respond to security breaches in real time. The role of blockchain in ensuring data integrity, transparency, and tamper- proof transactions is also thoroughly examined. Furthermore, this book will present solutions that will help analyze complex patterns in user data and ultimately improve productivity.

In the discipline of healthcare informatics, the study of how data relevant to healthcare may be obtained, transmitted, processed, stored, and retrieved is known as the study of how data can be gathered, transferred, processed, stored, and retrieved. In this area of study, early sickness prevention, early illness detection, early illness diagnosis, and early illness therapy are all crucial components. In the subject of healthcare informatics, the only types of data that are considered trustworthy are those that belong to illnesses, patient histories, and the computer operations that are required in order to analyze this data. Conventional medical practices all across the United States have made significant investments in cutting-edge technology and computational infrastructure over the course of the previous two decades in order to improve their potential to support academic institutions, medical experts, and patients. There has been a large investment of resources made in order to increase the quality of medical care that can be provided by utilizing a variety of different options, and this improvement has been made possible as a result of the expenditure. The impetus for all of these numerous programs was the overriding objective of giving patients with access to healthcare that is not only reasonably priced and of excellent quality, but also completely and wholly free of any and all fear. This goal was the driving force behind all of these many programs. As a direct result of these efforts, the benefits and usefulness of applying computational tools to help with referrals and prescriptions, to set up and manage electronic health records (EHR), and to make technical advancements in digital medical imaging have become more obvious. This is particularly the case with regard to electronic health records (EHR), which are becoming increasingly prevalent. This is a direct consequence of the fact that the benefits of utilizing computational tools have been more readily apparent in recent times. With the aid of these technologies, electronic health records (EHR) are something that can be set up and managed.

The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.

Medical internet of things (IoT)-based applications are being utilized in several industries and have been shown to provide significant advantages to users in critical health applications. Artificial intelligence (AI) plays a key role in the growth and success of medical IoT applications and IoT devices in the medical sector. To enhance revenue, improve competitive advantage, and increase consumer engagement, the use of AI with medical IoT should be encouraged in the healthcare and medical arena. Revolutionizing Healthcare Through Artificial Intelligence and Internet of Things Applications provides greater knowledge of how AI affects healthcare and medical efficacy in order to improve outputs. It focuses on a thorough and comprehensive introduction to machine learning. Covering topics such as patient treatment, cyber-physical systems, and telemedicine, this premier reference source is a dynamic resource for hospital administrators, medical professionals, government officials, students and faculty of higher education, librarians, researchers, and academicians.