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This book provides a complete overview on the deep learning applications and deep neural network architectures. It also gives an overview on most advanced future-looking fundamental research in deep learning application in artificial intelligence.
This book is the first comprehensive study of fault-tolerance and fault-caused deadlock effects in asynchronous on-chip networks, aiming to overcome these drawbacks and ensure greater reliability of applications.
This book provides a practical guide to federated deep learning for healthcare including fundamental concepts,... 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
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.
The compiled volume originates from the notable contributions presented at the 1st International Conference on Advancementof Intelligent... Læs mere