Handbook of Neural Computation explores neural computation applications, ranging from conventional fields of mechanical and civil engineering, to electronics, electrical engineering and computer science. This book covers the numerous applications of artificial and deep neural networks and their uses in learning machines, including image and speech recognition, natural language processing and risk analysis. Edited by renowned authorities in this field, this work is comprised of articles from reputable industry and academic scholars and experts from around the world.

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The book describes the emergence of big data technologies and the role of Spark in the entire big data stack.

The book covers innovative research and its applications in infrastructure development and related areas.

This book presents innovative research and its applications in the development of transportation infrastructure, and discusses the latest trends, challenges and unsolved problems in the field of transport technology.