Neural Computing for Advanced Applications

This comprehensive collection highlights advancements in neural computing through selected papers from the NCAA 2022 conference, showcasing innovative applications and research findings in the field.

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), which took place in Jinan, China, from July 8 to 10, 2022. This collection includes 77 papers that were meticulously reviewed and selected from a total of 205 submissions, showcasing the latest advancements in the field of neural computing.

The selected papers are organized into 10 distinct technical tracks, reflecting the diverse applications and theoretical underpinnings of neural computing. These tracks encompass areas such as neural network theory and cognitive sciences, machine learning, data mining, and data security. Additionally, the proceedings delve into data-driven applications, computational intelligence, and nature-inspired optimization techniques, highlighting their engineering applications in contemporary technology.

Furthermore, the proceedings address emerging topics like cloud computing, the Internet of Things (IoT), and industrial artificial intelligence, along with specialized areas such as fuzzy logic, computer vision, and natural language processing. The contributions also explore practical applications, including fault diagnosis and forecasting related to COVID-19, making Neural Computing for Advanced Applications a vital resource for researchers and practitioners in the field, aiming to push the boundaries of what neural computing can achieve in various domains.