Vehicle make and model recognition (VMMR) is a crucial task for developing automatic
vehicle recognition (AVR) systems, and has gained significant attention in the fields of …

This paper proposes a new method for addressing the problem of unsupervised domain
adaptation for robust object detection. To this end, we propose an energy-based curriculum …

Failure mode and effect analysis (FMEA) is a widely used management technique to identify
potential failure modes in products, processes, systems, and services to assign limited …

Simultaneous segmentation and classification of nuclei in digital histology remains
challenging. The highest achieved Panoptic Quality (PQ) remains low due to overlapping …

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 …

Automatic captioning of images contributes to identifying features of multimedia content and
helps in the detection of interesting patterns, trends, and occurrences. English image …

The coronavirus, discovered for the first time in December 2019 in Wuhan, China, quickly
spread to more than two hundred countries and became a public health emergency. After …

This paper aims to enhance the ability to predict nighttime driving behavior by identifying
taillights of both human-driven and autonomous vehicles. The proposed model incorporates …

It can be said that the automatic classification of musical genres plays a very important role
in the current digital technology world in which the creation, distribution, and enjoyment of …

Nowadays, rush-hour traffic congestion problems persist in most major cities around the
world, resulting in increased pollution, noise, and stress for citizens. Therefore, an optimal …