Several deep learning techniques have been used to detect pavement cracks for the partial
replacement of inefficient traditional inspections. However, the extensively varying real …

India, a country of over 130 Crores population, witnessed an exponential rise in the number
of vehicles running on the road. As per the survey made in the year 2019, in India there is …

The development of an interactive real-time video-based sign language translation system
powered by efficient machine learning algorithms which is commonly developed for deaf …

Heavy metal (oid) s (HMs) contamination in soil directly related to food contamination and
human health. This study was conducted to investigate the effect of HMs accumulation in …

Anomaly anticipation in traffic scenarios is one of the primary challenges in action
recognition. It is believed that greater accuracy can be obtained by the use of semantic …

Recent advances in artificial intelligence (AI) and computer vision have transformed
automatic license plate recognition (ALPR) into an important application for intelligent …

Automatic licence plate detection and recognition (ALPDR) systems are widely used in
various sectors such as traffic control, toll payment, parking systems, border control, and law …

Identifying fruit fruits is an essential part of fruit plantation smart management. This paper
presents a mechanism based on the available deep learning model to determine the fruit …

Recently, studies have been conducted on intelligent transportation systems (ITS) that
provide safety and convenience to humans. Systems that compose the ITS adopt …

Disposal of biosolids, the solid fraction of sewage treatment, is a global environmental issue.
Biosolids contain valuable organic matter and plant nutrients; however, they also contain …