Pardeep Kumar – författare

Machine Learning, Big Data, and IoT for Medical Informatics focuses on the latest techniques adopted in the field of medical informatics.

In medical informatics, machine learning, big data, and IOT-based techniques play a significant role in disease diagnosis and its prediction. In the medical field, the structure of data is equally important for accurate predictive analytics due to heterogeneity of data such as ECG data, X-ray data, and image data. Thus, this book focuses on the usability of machine learning, big data, and IOT-based techniques in handling structured and unstructured data. It also emphasizes on the privacy preservation techniques of medical data.

This volume can be used as a reference book for scientists, researchers, practitioners, and academicians working in the field of intelligent medical informatics. In addition, it can also be used as a reference book for both undergraduate and graduate courses such as medical informatics, machine learning, big data, and IoT.

Explains the uses of CNN, Deep Learning and extreme machine learning concepts for the design and development of predictive diagnostic systems. Includes several privacy preservation techniques for medical data. Presents the integration of Internet of Things with predictive diagnostic systems for disease diagnosis. Offers case studies and applications relating to machine learning, big data, and health care analysis.

Healthcare 5.0: Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data addresses the urgent need for innovation in today’s complex healthcare data landscape, characterized by pandemics, aging populations, and escalating chronic conditions. This book introduces the concept of ‘Healthcare 5.0’ as an interconnected, data-driven, and patient-centric framework, where advanced technologies-such as AI, ML, IoMT, Big Data, and Large Language Models (LLMs)-converge to optimize care, streamline operations, and deliver personalized, predictive solutions that meet real-world challenges. Comprising six comprehensive sections, the book moves from core AI applications in electronic health records, drug discovery, data management, and privacy, through cutting-edge big data analytics for precise disease forecasting and diagnosis. It explores new research advances in the Internet of Medical Things including connected device architectures and their fusion with AI for dynamic decision-making. The third section focuses on data analytics in telemedicine, remote care, system usability, and integration in Healthcare 5.0. The personalized healthcare section details analysis and applications in AI- and IoT-powered assistance, and real-time monitoring. The last section explores the development of LLMs and their applications in medical imaging, clinical decision support, predictive analytics, system architectures, as well as the ethical challenges of their deployment in healthcare. Healthcare 5.0: Applications of Artificial Intelligence, Machine Learning, IoMT, and Big Data serves as an essential resource for graduate students, researchers, and engineers in computer science, data science, and biomedical informatics. It bridges theory and practical application, offering interdisciplinary insights, foundational background, detailed case studies, and guidance on navigating the next generation of healthcare data systems. Whether for research or real-world innovation, readers gain the tools to design, analyze, and implement intelligent healthcare data solutions for a rapidly evolving digital era.Delivers practical frameworks for integrating AI, ML, Big Data, and IoMT into modern healthcare data systemsExplores predictive data analytics for improved patient outcomes in personalized medicineExamines implementation challenges, data management, and security solutions for healthcare technology adoptionHighlights advancements in data architecture for telemedicine and remote care, enhancing accessibility and efficiency

This book offers comprehensive knowledge on, and the applications of, the rapidly evolving financial technology landscape. Authored by seasoned experts, it serves as a vital resource for both students and practitioners in the fintech sector.Covering the evolution of cryptocurrencies to the rise of Neobanks and Central Bank Digital Currencies (CBDCs), this volume delves into critical topics such as blockchain, PayTech, LendTech, WealthTech, InsurTech, RegTech and artificial intelligence in finance. It also provides insights into Neobanking and CBDC. Each chapter details the latest trends, challenges, and regulatory frameworks shaping the industry, along with examples and illustrative case studies.Students will benefit from the structured approach that facilitates understanding complex concepts, while practitioners will find real-world applications, case studies, and strategic insights to enhance their professional practices. With a focus on innovation and technology, this book not only prepares readers for the future of finance but also equips them with the tools to navigate and thrive in this dynamic environment. This unique volume is an essential guide to understanding and leveraging fintech advancements, for beginners and experts alike.

This book offers comprehensive knowledge on, and the applications of, the rapidly evolving financial technology landscape. Authored by seasoned experts, it serves as a vital resource for both students and practitioners in the fintech sector.Covering the evolution of cryptocurrencies to the rise of Neobanks and Central Bank Digital Currencies (CBDCs), this volume delves into critical topics such as blockchain, PayTech, LendTech, WealthTech, InsurTech, RegTech and artificial intelligence in finance. It also provides insights into Neobanking and CBDC. Each chapter details the latest trends, challenges, and regulatory frameworks shaping the industry, along with examples and illustrative case studies.Students will benefit from the structured approach that facilitates understanding complex concepts, while practitioners will find real-world applications, case studies, and strategic insights to enhance their professional practices. With a focus on innovation and technology, this book not only prepares readers for the future of finance but also equips them with the tools to navigate and thrive in this dynamic environment. This unique volume is an essential guide to understanding and leveraging fintech advancements, for beginners and experts alike.

Written out of extensive research on vegetable grafting, this book contains current scientific and applied practical knowledge about its various aspects. A discussion of various practical issues pertinent to the field is carried out, and topics such as rootstocks and their significance, various methods of grafting, use of robotic machines, potential contribution of grafting and future perspectives of this technique towards improvement of vegetable production are also discussed.This book is aimed at aimed at both the people involved in the commercial production and cultivation of grafted plants as well as researchers interested in the understanding of the science and technology behind a grafted plant.Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan)

An up-to-date guide to an overview of authentication in the Internet of Things (IoT)The Internet of things (IoT) is the network of the countless physical devices that have the possibility to connect and exchange data. Among the various security requirements, authentication to the IoT is the first step to prevent the impact of attackers. IoT Security offers an important guide into the development of the many authentication mechanisms that provide IoT authentication at various levels such as user level, device level and network level. The book covers a wide range of topics including an overview of IoT and addresses in detail the security challenges at every layer by considering both the technologies and the architecture used. The authors—noted experts on the topic—provide solutions for remediation of compromised security, as well as methods for risk mitigation, and offer suggestions for prevention and improvement. In addition, IoT Security offers a variety of illustrative use cases. This important book: Offers an authoritative reference designed for use by all IoT stakeholdersIncludes information for securing devices at the user, device, and network levelsContains a classification of existing vulnerabilitiesWritten by an international group of experts on the topicProvides a guide to the most current information available on IoT security Written for network operators, cloud operators, IoT device manufacturers, IoT device users, wireless users, IoT standardization organizations, and security solution developers, IoT Security is an essential guide that contains information on security features, including underlying networks, architectures, and security requirements.

The Smart Cyber Ecosystem for Sustainable Development As the entire ecosystem is moving towards a sustainable goal, technology driven smart cyber system is the enabling factor to make this a success, and the current book documents how this can be attained. The cyber ecosystem consists of a huge number of different entities that work and interact with each other in a highly diversified manner. In this era, when the world is surrounded by many unseen challenges and when its population is increasing and resources are decreasing, scientists, researchers, academicians, industrialists, government agencies and other stakeholders are looking toward smart and intelligent cyber systems that can guarantee sustainable development for a better and healthier ecosystem. The main actors of this cyber ecosystem include the Internet of Things (IoT), artificial intelligence (AI), and the mechanisms providing cybersecurity. This book attempts to collect and publish innovative ideas, emerging trends, implementation experiences, and pertinent user cases for the purpose of serving mankind and societies with sustainable societal development. The 22 chapters of the book are divided into three sections: Section I deals with the Internet of Things, Section II focuses on artificial intelligence and especially its applications in healthcare, whereas Section III investigates the different cyber security mechanisms. Audience This book will attract researchers and graduate students working in the areas of artificial intelligence, blockchain, Internet of Things, information technology, as well as industrialists, practitioners, technology developers, entrepreneurs, and professionals who are interested in exploring, designing and implementing these technologies.

HR 5.0 Integration: Unleashing the Potential of the Digital Twin Revolution encapsulates the transformation of Human Resources (HR) through Digital Twin technology. The book provides numerous practical strategies and case studies for implementing Digital Twin technology to revolutionize organizational efficiency, agility, and competitiveness in the digital age.Digital Twins, or virtual replicas of physical assets or processes, is a technology which could revolutionize HR practices through real-time monitoring, analysis, and simulation of workforce dynamics, to model employees and their interactions within the organisation. By leveraging data analytics and machine learning, HR 5.0 optimizes talent acquisition, enhances employee engagement, predicts future trends, fosters personalised employee experiences, facilitates skill development, and creates a culture of continuous improvement.Covering the vast array of technological advancements, from ethical concerns such as data privacy, to case studies of organisational success, the book bridges theory and practice to drive HR innovation into the age of 5.0. Various HR functions such as recruitment, onboarding, learning and development, performance management, and workforce planning can all be rationalised by the creation and implementation of Digital Twins in HR, including AI, Internet of Things, data analytics, and privacy considerations.

IoT-enabled healthcare technologies can be used for remote health monitoring, rehabilitation assessment and assisted ambient living. Healthcare analytics can be applied to the data gathered from these different areas to improve healthcare outcomes by providing clinicians with real-world, real-time data so they can more easily support and advise their patients.The book explores the application of AI systems to analyse patient data and guide interventions. IoT-based monitoring systems and their security challenges are also discussed.The book is designed to be a reference for healthcare informatics researchers, developers, practitioners, and people who are interested in the personalised healthcare sector. The book will be a valuable reference tool for those who identify and develop methodologies, frameworks, tools, and applications for working with medical big data and researchers in computer engineering, healthcare electronics, device design and related fields.

This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community.

This book aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community.

This resource provides valuable perspectives on the risks and difficulties currently faced by the healthcare industry and presents practical recommendations for effectively managing these risks and enhancing security and reliability.

This book provides insights in the field of cyber-physical systems (CPS), which tightly integrates computation, networking, and physical processes. It has transformed the technological landscape across sectors such as manufacturing, healthcare, energy, transportation, and defence. However, there is an urgent need to develop and deploy next-generation networking paradigms that can meet stringent requirements for reliability, latency, scalability, and security. This book brings together leading-edge contributions in three major directions: (i) Transmission Control Protocol (TCP) (ii.) Software-Defined Networking (SDN) (iii.) Emerging Technologies. The chapters in this book span theoretical models, experimental designs, protocol innovations, and real-world case studies. Collectively, they provide valuable insights for researchers, practitioners, and students engaged in networking, control systems, embedded computing, and interdisciplinary CPS domains.

This book presents high-quality research papers presented at the International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2020) held during July 7–8, 2020, in the Department of Smart Computing, Kyungdong University, Global Campus, South Korea.

This book presents high-quality research papers presented at the International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2020) held during July 7–8, 2020, in the Department of Smart Computing, Kyungdong University, Global Campus, South Korea.

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.

This book presents applications of machine learning techniques in processing multimedia large-scale data. Multimedia such as text, image, audio, video, and graphics stands as one of the most demanding and exciting aspects of the information era. The book discusses new challenges faced by researchers in dealing with these large-scale data and also presents innovative solutions to address several potential research problems, e.g., enabling comprehensive visual classification to fill the semantic gap by exploring large-scale data, offering a promising frontier for detailed multimedia understanding, as well as extract patterns and making effective decisions by analyzing the large collection of data.