Neural Computing for Advanced Applications

This volume presents a collection of research findings from the First International Conference on Neural Computing for Advanced Applications, featuring significant advancements in various fields.

The book Neural Computing for Advanced Applications compiles the refereed proceedings from the First International Conference on Neural Computing for Advanced Applications, held online in July 2020 due to the COVID-19 pandemic. This edition features a thorough selection of 36 full papers and 7 short papers, all carefully reviewed from a pool of 113 qualified submissions. The collected works showcase cutting-edge research across a variety of topics in neural computing and its applications.

The papers included in Neural Computing for Advanced Applications delve into diverse subjects such as neural network theory, cognitive sciences, and machine learning. Furthermore, the volume addresses key areas like data mining, data security, and privacy protection, along with data-driven applications. The research also explores computational intelligence and nature-inspired optimizers, emphasizing their engineering applications in contemporary technology.

In addition to foundational theories, the book highlights advancements in cloud, edge, and fog computing, as well as the Internet of Things and Vehicles (IoT/IoV). Topics like system optimization, control systems, network synchronization, and industrial artificial intelligence are also discussed. The volume further examines fuzzy logic, neuro-fuzzy systems, and decision-making processes, along with their relevance in management sciences, computer vision, image processing, and natural language processing, including machine translation and knowledge graphs.