Due to the rapid growth in network traffic and increasing security threats, Intrusion Detection
Systems (IDS) have become increasingly critical in the field of cyber security for providing …

Malicious attack detection is one of the critical cyber-security challenges in the peer-to-peer
smart grid platforms due to the fact that attackers' behaviours change continuously over time …

Documenting a mouse's “real world” behavior in the “small world” of a laboratory cage with
continuous video recordings offers insights into phenotypical expression of mouse …

Nowadays, industrial companies are facing ever-increasing challenges to generate new
value-in-use and maintain their high competitiveness in the market. With the rapid …

Continuous sign language recognition is a weakly supervised task dealing with the
identification of continuous sign gestures from video sequences, without any prior …

In recent years, single modality-based gait recognition has been extensively explored in the
analysis of medical images or other sensory data, and it is recognized that each of the …

Food quality and safety are closely related to people's health and living standard, and the
risk assessment of food quality and safety has great social significance. Therefore, a novel …

Automated observation and analysis of rodent behavior is important to facilitate research
progress in neuroscience and pharmacology. Available automated systems lack adaptivity …

The identification of animal behavior in video is a critical but time-consuming task in many
areas of research. Here, we introduce DeepAction, a deep learning-based toolbox for …

The physiological similarities between mice and humans make them vital animal models in
biological and medical research. This paper explores the application of artificial intelligence …