Inspired by the principles of the biological nervous system, neuromorphic engineering has
brought a promising alternative approach to intelligence computing with high energy …

Mental health problems are an increasingly common social issue severely affecting health
and well-being. Multimedia processing technologies via facial expression show appealing …

Currently, the integration of artificial intelligence (AI) techniques with multimodal
physiological signals represents a pivotal approach to detect affective disorders (ADs). With …

Neuromorphic computing is expected to realize fast and energy-efficient artificial neural
networks and address the inherent limitations of von Neumann architectures in dedicated …

Video sentiment analysis can effectively establish the relationship between the emotion
state and the multimodal information, while still suffer from intensive computation and low …

Accuracy and speed of Lithium-ion battery state of charge (SOC) estimation determine the
reliability and stability of electric vehicle (EV), as well as promoting the development of smart …

Smart systems and security got impressive attention and development in recent years, which
have been appeared in the terms of smart homes, intelligent security, and the Internet of …

Forest fires can cause tremendous damage to the environment and irreparable loss to
individual properties. Using deep learning algorithms on embedded sensing devices to …

In designing neuromorphic circuits and systems, develo** compact and energy-efficient
neuron and synapse circuits is essential for high-performance on-chip neural architectures …

Defect detection in power scenarios is a critical task that plays a significant role in ensuring
the safety, reliability, and efficiency of power systems. The existing technology requires …