Artificial Intelligence (AI) has been used for processing data to make decisions, Interact with
humans, and understand their feelings and emotions. With the advent of the Internet, people …

Emotion ontologies have been developed to capture affect, a concept that encompasses
discrete emotions and feelings, especially for research on sentiment analysis, which …

Emotion recognition is a strategy for social robots used to implement better Human-Robot
Interaction and model their social behaviour. Since human emotions can be expressed in …

Computer vision and natural language processing (NLP) are two active machine learning
research areas. However, the integration of these two areas gives rise to a new …

Fault diagnosis for rotating machinery requires both high diagnosis accuracy and time
efficiency. A rotating machinery fault diagnosis method based on intelligent feature self …

In recent years, deep learning-based automated personality traits detection has received a
lot of attention, especially now, due to the massive digital footprints of an individual …

Social robots have the potential to revolutionize the way we interact with technology,
providing a wide range of services and applications in various domains, such as healthcare …

Robots have become increasingly present in our daily lives, and we see several settings
wherein this technology might positively impact people. One of these settings, and the focus …

Simple Summary Microvascular invasion is an important indicator for reflecting the
prognosis of hepatocellular carcinoma, but the traditional diagnosis requires a postoperative …

Emotion detection has become an intriguing issue for researchers owing to its
psychological, social, and commercial significance. People express their feelings directly or …