You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
This book presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. Written as a guide for assessing the roles that these techniques play, the book also highlights implementation strategies, lists problem-solving solutions, and paves the way for future research endeavors in smart and next-generation healthcare systems. This book provides applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles that various techniques, such as machine learning, fuzzy logic, and statical mathematics, play in the advancements of smart healthcare systems. The book presents the bas...
This book is intended for the technical reader who works with large volumes of data. Written by experts in information systems management, the book includes chapters on software development, cloud implementation, networking, and handling large datasets, among other topics. Blockchain and artificial intelligence (AI) are the foundations of automated systems and the authors provide their viewpoints on information management by using these fundamental domains of information technology.
DATA MINING AND MACHINE LEARNING APPLICATIONS The book elaborates in detail on the current needs of data mining and machine learning and promotes mutual understanding among research in different disciplines, thus facilitating research development and collaboration. Data, the latest currency of today’s world, is the new gold. In this new form of gold, the most beautiful jewels are data analytics and machine learning. Data mining and machine learning are considered interdisciplinary fields. Data mining is a subset of data analytics and machine learning involves the use of algorithms that automatically improve through experience based on data. Massive datasets can be classified and clustered ...
Biometrics are used widely in various real-life applications today. There are a number of potential biometric applications that include different areas such as personal recognition, identification, verification, and others. It may be needed for safety, security, permission, banking, crime prevention, forensics, medical applications, communication, face finding, and others. This book is specifically dedicated to biometric research, applications, techniques, tools, and algorithms that originate from different fields such as image processing, computer vision, pattern recognition, signal processing, artificial intelligence, intelligent systems, and soft computing. The main objective of this book is to provide the international community with an effective platform in the area of people identity verification and authentication from physiological and behavioral aspects. This publication provides an effective platform for helping and guiding readers, professionals, researchers, academicians, engineers, scientists, and policy makers involved in the area of biometrics.
International Seminar, Research Papers Proceeding on Recent Trends in Science and Technology (RTST-2023)
This book presents an overview of the blockchain-based Internet of Things systems, along with the opportunities, challenges, and solutions in diverse fields such as business, education, agriculture, and healthcare. It discusses scalability, security, layers, threats, and countermeasures in blockchain-based Internet of Things network. Elaborates on the opportunities presented by combining blockchain with artificial intelligence on the Internet of Things systems in the management of food systems, and drug supply chains Explains the management of computationally intensive tasks in blockchain-based Internet of Things through the development of lightweight protocols Presents various applications in fields including logistics and the supply chain, automobile industry, smart housing, shared economy, and agriculture Provides insights into blockchain-based Internet of Things systems, along with their features, vulnerabilities, and architectural flaws The text is primarily written for graduate students, and academic researchers working in the fields of computer science and engineering, electrical engineering, and information technology
Intelligent Approach to Cyber Security provides details on the important cyber security threats and its mitigation and the influence of Machine Learning, Deep Learning and Blockchain technologies in the realm of cyber security. Features: Role of Deep Learning and Machine Learning in the Field of Cyber Security Using ML to defend against cyber-attacks Using DL to defend against cyber-attacks Using blockchain to defend against cyber-attacks This reference text will be useful for students and researchers interested and working in future cyber security issues in the light of emerging technology in the cyber world.
In today's digital age, having a strong online identity has become more important than ever. This book aims to explore the many facets of this topic, from the importance of building a positive digital presence to managing one's online reputation and privacy. We want to cover different aspects of online identity. This book will focus on the importance of online identity and how it can affect our personal and professional lives. We also want to provide strategies for building a strong and authentic online identity, including tips on how to curate social media profiles and manage privacy settings. The book will also delve into the concept of digital footprints and the implications of our online...
This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.