Neural Computing for Advanced Applications

This collection of papers from a significant conference highlights advancements in neural computing. Neural Computing for Advanced Applications explores various technical tracks and applications.

The two-volume proceedings set, CCIS 1637 and 1638, presents the refereed contributions from the Third International Conference on Neural Computing for Advanced Applications, NCAA 2022. This event took place in Jinan, China, from July 8 to 10, 2022, and showcased a diverse range of research in the field of neural computing. A total of 77 papers were meticulously reviewed and selected from over 205 submissions, reflecting the high standards of the conference and the relevance of the topics discussed.

The selected papers are organized into ten distinct technical tracks. These tracks cover a wide array of subjects, including neural network theory, cognitive sciences, and machine learning. Additional categories include data mining, data security and privacy protection, as well as data-driven applications. The proceedings delve into computational intelligence, nature-inspired optimizers, and their engineering applications, alongside topics like cloud, edge, and fog computing, and the Internet of Things and Vehicles (IoT/IoV).

Moreover, the proceedings address critical areas such as control systems, network synchronization, and industrial artificial intelligence. Other significant topics include fuzzy logic, neuro-fuzzy systems, decision-making applications in management sciences, computer vision, image processing, natural language processing, and machine translation. The collection also features discussions on neural computing-based fault diagnosis and forecasting, along with intelligent techniques to combat the challenges posed by the COVID-19 pandemic. Overall, Neural Computing for Advanced Applications serves as a comprehensive resource for researchers and practitioners in the field.