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This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact.
This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements.
The COVID-19 pandemic has disrupted supply chains and corporations must devise and realign their policies and strategies accordingly, to stay competitive in this dynamic situation. This book provides tools to cope with such a scenario and to make appropriate decisions to come out unscathed.
Machine Learning has emerged as one of the most promising tools used to challenge and think beyond current limitations. This handbook will provide readers with a leading edge to improving their products and processes through optimal and smarter machine learning techniques.
This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers.
This book not only focuses on the practical applications of data science to achieve computational excellence, but also digs deep into the issues and implications of intelligent systems.
This edited volume considers the many ways in which landscape (seen and unseen) is fundamental to place-making, colonial settlement, and identity formation.
This book shows how to build and maintain a distinctive and credible employer brand, and develop a set of relevant success metrics to help measure ROI. Starting with the current interest in employer branding, this book looks at the historical roots of brand management and the practical steps to achieve employer brand management success.
This book examines Multi-Criteria Decision Modelling (MCDM) and facilitates diverse ways for it to be a useful tool for strategic decision making. It provides a practical foundation and can be used in addressing the problems of emerging markets to show ways for a company to use these methods in order to achieve sustainability.
Instruments of Embodiment draws on fashion theory and the philosophy of embodiment to investigate costuming in contemporary dance.
This book presents a counter-history to the relentless critique of the humanist subject and authorial agency that has taken place over the last fifty years.
The text discusses emerging new ideas and methodologies that are of common practical interest in the area of smart and sustainable manufacturing systems in a single volume. It will be an ideal reference text for graduate students and professional in the fields of mechanical, production, and industrial engineering.
This book provides a deeper understanding of the relevant aspects of AI and DAI impacting each other's efficacy for better output. It will bridge the gap between research solutions and key technologies related to data analytics to ensure Industry 4.0 requirements and at the same time ensure proper network communication and security of big data.
This book covers IoT and Big Data from a technical and business point of view. The book explains the design principles, algorithms, technical knowledge, and marketing for IoT systems.
This book offers the latest advances and results in the fields of machine learning and deep learning for wireless communications and provides positive discussions on the challenges and prospects. It includes a broad spectrum in understanding the improvements motivated by specific constraints posed by wireless communications.
This collection provides a comprehensive overview of the Oberammergau Passion play and its history from the 19th century onwards.
Differential equations play a noticeable role in engineering, physics, economics and other disciplines. They permits us to model changing forms in both mathematical and physical problems.
This book provides advance research in the field of applications of Differential Equations in engineering and sciences and offers a theoretical sound background along with case studies.
Graph Theory is a branch of discrete mathematics. It has many applications to many different areas of Science and Engineering. This book provides the most up-to-date research findings and applications in Graph Theory.
Since the book is written in a simple scientific language and without redundant mathematics, it can also be used by practicing engineers and managers employed in electrical machinery or electromagnetic device industries.
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