One of the essential systems in autonomous vehicles for ensuring a secure circumstance for
drivers and passengers is the Advanced Driver Assistance System (ADAS). Adaptive Cruise …

The objective of this paper is to systematically review remote sensing data fusion
techniques, autonomous vehicle driving perception algorithms, and mobility simulation tools …

Physiotherapy exercises like extension, flexion, and rotation are an absolute necessity for
patients of post stroke rehabilitation (PSR). A physiotherapist uses many techniques to …

Deep neural network-based methods have recently enjoyed great popularity due to their
effectiveness in solving difficult tasks. Requiring minimal human effort, they have turned into …

The factors that influence a person's mental health are numerous, interconnected, and multi‐
dimensional. Recognition of stress is one of the facets in develo** the Mental Healthcare …

Deep learning models such as CNNs have surpassed human performance in computer
vision tasks such as image classi-fication. However, despite their sophistication, these …

Purpose This paper aims to implement and extend the You Only Live Once (YOLO)
algorithm for detection of objects and activities. The advantage of YOLO is that it only runs a …

Traffic sign detection plays an integral role in intelligent driving systems. It was found that in
real driving scenarios, traffic signs were easily obscured by haze leading to traffic sign …

Structural damage detection is still a stimulating problem due to the complicated non-linear
behaviour of the structural system, incomplete sensed data, presence of noise in the data …

The fast evolution of artificial intelligence (AI) and the IoT gained more interest in the
development of autonomous vehicles. The main challenges faced by autonomous car …