Aerospace Engineering Technical Elective Program - Focus Areas

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 is for machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques, with each chapter dealing with a novel approach of machine learning architecture for a specific application, and then compares the results with previous algorithms.

The book covers the theory and application of Machine Learning, Neuromorphic Computing and Neural Networks. It describes machine learning accelerators and hardware development for machine learning. It presents not only a summary of the latest trends and examples of machine learning hardware and basic knowledge of machine learning in general, but also the main issues involved in its implementation.

This book is written with a view towards bringing the benefits of advanced analytics and prognostics capabilities to small scale farmers worldwide. It provides data science and software engineering teams with the skills and tools to fully utilize economic models to develop the software capabilities necessary for creating lifesaving applications.