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It first summarizes the developing trend of DCNs, and reports four novel DCNs, including a switch-centric DCN, a modular DCN, a wireless DCN, and a hybrid DCN.
Explains federated learning and how it integrates AI technologies allowing multiple collaborators to build a robust machine-learning model using... Læs mere
This book provides a practical guide to federated deep learning for healthcare including fundamental concepts,... Læs mere
Describes the fundamentals of modelling and simulation of continuous-time, discrete time, discrete-event and large-scale systems. This title includes a chapter... Læs mere
Innovative and creative teaching methods tailored to meet the demands of the current era of... Læs mere
Computer vision is an effective solution in a range of real-life applications. With the advent of the machine and deep learning paradigms, this book... Læs mere
Introduction to Python for Science and Engineering offers an incisive introduction to the Python programming language for use in any science or... Læs mere
System Dynamics covers linearity-based modeling techniques before delving into nonlinear systems. It compares the Bond Graph technique against traditional techniques (Newton's law, Kirchhoff's law, the law of the conservation of energy, and the heat transfer law).
The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for engineers as well as for researchers and scientists of advanced level.
This book presents a practical guide to applying contemporary systems thinking methods in sport, as well as case study applications demonstrating how their outputs can be translated in practice.
This text discusses smart grid technologies including home energy management systems, demand management systems, source-side management systems and communication technologies for power supply management, and supervisory control and data acquisition.