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Alan Acock's book, A Practical Guide to Logistic Regression Using Stata, is for students and researchers who are new to logistic regression and who... Læs mere
Contains the proceedings of the Workshop on On-line Algorithms held at the DIMACS Center at Rutgers University in February 1991. This work examines the ways in which randomization can... Læs mere
Contains papers presented at the workshop Partioning Data Sets held at DIMACS in April 1993. This work covers the main paradigms of the field of cluster analysis methods and... Læs mere
Data mining aims at finding interesting, useful or profitable information in very large databases. This book is based on lectures presented at the workshop on... Læs mere
This book provides a technical and practical roadmap for using advanced AI, data analytics, and sensing technologies to safeguard the underwater domain.
This book unites computer science, finance, and data analytics to explain how blockchain systems function, evolve, and generate... Læs mere
At a time of growing environmental concerns and an urgent need for sustainable solutions, the intersection of blockchain technology and environmental sustainability is emerging as a powerful force for positive change.
Offering a holistic view of the pioneering trends and innovations in Smart Healthcare Management, this book focuses on the... Læs mere
This book presents cutting-edge findings that draw on the use of AI, the Industrial Internet of Things, Blockchain, and Co-Analytics for the development of Circular Economy (CE) models, to make organizational activities more sustainable.
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.
This book presents the role of AI-Driven Digital Twin in the Industry 4.0 ecosystem by focusing on smart manufacturing,... Læs mere