Researchers have recently focused their attention on vision-based hand gesture
recognition. However, due to several constraints, achieving an effective vision-driven hand …

With the widespread use of closed-circuit television (CCTV) surveillance systems in public
areas, crowd anomaly detection has become an increasingly critical aspect of the intelligent …

Sentiment analysis plays a crucial role in understanding public opinion and social media
trends. It involves analyzing the emotional tone and polarity of a given text. When applied to …

With an increasing number of people on the planet today, innovative human-computer
interaction technologies and approaches may be employed to assist individuals in leading …

Hajj is an annual Islamic event attended by millions of pilgrims every year from around the
globe. It is considered to be the biggest religious event that includes large human crowds in …

This research enhances crowd analysis by focusing on excessive crowd analysis and crowd
density predictions for Hajj and Umrah pilgrimages. Crowd analysis usually analyzes the …

Crowd management is crucial for countries and organizations as it can lead to severe
consequences or serious safety concerns. Most of the existing research focus on addressing …

Crowd anomaly detection is crucial in enhancing surveillance and crowd management. This
paper proposes an efficient approach that combines spatial and temporal visual descriptors …

Generation Z is embracing blockchain technology, which is appropriate for the digital age.
Internet of things (IoT) can benefit from blockchain technology IoT. The proliferation of IoT …

This paper presents an approach for evasive maneuver against dynamic obstacles in multi-
agent navigation in a crowd evacuation scenario. Our proposed approach is based on …