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This book introduces and demonstrates the state-of-the art research and development in tackling sustainable urban and rural integration, supported by digitalization and digital transformation in rural areas with Industry 4.0/5.0 technologies.
This book presents advanced research on smart health technologies, focusing upon the innovative transformations in diagnosis and treatment... Læs mere
This book explains how and why this has happened. It details the evolution of information graphics, the kinds of graphics at the core of data visualization—maps, diagrams, charts, scientific and medical images—from prehistory to the present day.
Symbolic regression (SR) is one of the most powerful machine learning techniques that produces transparent models, searching the space of mathematical expressions for a model that... Læs mere
This book consolidates experiences and research results in computational intelligence and its applications in urban infrastructure. It discusses various techniques and application areas of smart urban infrastructure including topics related to smart city management.
This book discusses smart technologies and their influence in the field of manufacturing and industrial systems engineering, in the context of performability enhancement, and explores the development of the workforce for the execution of such smart and advanced technologies.
This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management.
Web Mining: A Synergic Approach Resorting to Classifications and Clustering showcases an effective methodology for classification and clustering of web sites from their usability point of view.
This book offers an in-depth look at Industry 4.0's applications and provides a... Læs mere
This book introduces recent wireless technologies and their impact on trends, applications, and... Læs mere
Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., accelerometer, electrocardiography, and electroencephalography.