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Data Science
This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science. Key Features • Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. • Presents predictive outcomes by applying data science techniques to real-life applications. • Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. • Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields. The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.
Intelligent Approaches to Cyber Security
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.
Applied Multi-objective Optimization
The book explains basic ideas behind several kinds of applied multi-objective optimization and shows how it will be applied in practical contexts in the domain of healthcare, engineering design, and manufacturing. The book discusses how meta-heuristic algorithms are successful in resolving challenging, multi-objective optimization issues in various disciplines, including engineering, economics, medical and environmental management. The topic is useful for graduates, researchers and lecturers in optimization, engineering, management science and computer science.
Unleashing the Potentials of Blockchain Technology for Healthcare Industries
Unleashing the Potentials of Blockchain Technology for Healthcare Industries discusses blockchain and its adaptation in healthcare industries to provide a secured framework to safeguard healthcare data, both patient and hospital data. The book integrates key pillars of blockchain such as foundations, architecture, smart contracts, adoption, standards, service (BaaS), security, consensus algorithms, drug discovery process, among others, for fortifying the current practices in the healthcare industries. In addition, it offers solutions to the pressing issues currently being faced by the healthcare processes due to the COVD-19 pandemic. This will be a valuable resource for medical informatician...
Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications
Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications captures the state of the art in usage of artificial intelligence in different types of recommendation systems and predictive analysis. The book provides guidelines and case studies for application of artificial intelligence in recommendation from expert researchers and practitioners. A detailed analysis of the relevant theoretical and practical aspects, current trends and future directions is presented. The book highlights many use cases for recommendation systems: · Basic application of machine learning and deep learning in recommendation process and the evaluation metrics · M...
Generative Adversarial Networks and Deep Learning
This book explores how to use generative adversarial networks in a variety of applications and emphasises their substantial advancements over traditional generative models. This book's major goal is to concentrate on cutting-edge research in deep learning and generative adversarial networks, which includes creating new tools and methods for processing text, images, and audio. A Generative Adversarial Network (GAN) is a class of machine learning framework and is the next emerging network in deep learning applications. Generative Adversarial Networks(GANs) have the feasibility to build improved models, as they can generate the sample data as per application requirements. There are various appl...
Emerging Threats and Countermeasures in Cybersecurity
This book is an essential resource for anyone seeking to stay ahead in the dynamic field of cybersecurity, providing a comprehensive toolkit for understanding and combating digital threats and offering practical, insightful guidance ideal for cybersecurity professionals, digital forensic investigators, legal practitioners, law enforcement, scholars, and students. In the rapidly evolving domain of digital security, this book emerges as a vital guide for understanding and addressing the sophisticated landscape of cyber threats. This in-depth volume, featuring contributions from renowned experts, provides a thorough examination of the current state and future challenges in digital security and ...
Blockchain Technologies and Applications for Digital Governance
Since its inception, blockchain has evolved to become a crucial trending technology that massively impacts the fast-paced digital world. It has been a game-changing technology that is underpinned with cryptocurrencies like Ethereum and Bitcoin that eventually closed the doors for hacking activities. As blockchain is utilized across areas such as banking, voting, finance, healthcare, and manufacturing, it is important to examine the current trends, difficulties, opportunities, and future directions in order to utilize its full potential. Blockchain Technologies and Applications for Digital Governance addresses the impacts and future trends of blockchain, particularly for digital governance, and demonstrates the applications of blockchain in digital governance using case studies. Covering a range of topics from cybersecurity to real estate tokenization, it is ideal for industry professionals, researchers, academicians, instructors, practitioners, and students.
Deep Learning Approaches to Cloud Security
DEEP LEARNING APPROACHES TO CLOUD SECURITY Covering one of the most important subjects to our society today, cloud security, this editorial team delves into solutions taken from evolving deep learning approaches, solutions allowing computers to learn from experience and understand the world in terms of a hierarchy of concepts, with each concept defined through its relation to simpler concepts. Deep learning is the fastest growing field in computer science. Deep learning algorithms and techniques are found to be useful in different areas like automatic machine translation, automatic handwriting generation, visual recognition, fraud detection, and detecting developmental delay in children. How...
