Vehicle detection from surveillance videos is of great significance for various Intelligent
Transportation System (ITS) applications. However, existing deep learning methods …

The recent advancement in artificial intelligence approach or deep learning techniques
explored the ways to facilitate automation in various sectors. The application of deep …

Claim leakage costs insurance companies millions of dollars each year because of the
disparity between the cost spent by allowance businesses and the accurate quantity that …

Object detection is a pivotal research domain within computer vision, with applications
spanning from autonomous vehicles to medical diagnostics. This comprehensive survey …

This paper presents an advanced Surveillance Warning System (SWS) designed for next-
generation video surveillance applications. While contemporary alert systems have …

The image object recognition and detection technology are widely used in many scenarios.
In recent years, big data has become increasingly abundant, and big data-driven artificial …

The intelligent traffic management system (ITS) is one of the active research areas. Vehicle
detection is a major role in traffic analysis. In the paper, analysis of detecting vehicles is …

Spice classification is a crucial task in the food industry to ensure food safety and quality.
This study focuses on the classification of spices using the Histogram of Oriented Gradient …

Brain tumor is a condition that can interfece with brain function due to abnormal cell growth
in the brain. MRI is used as a diagnostic tool when a patient has a brain tumor. The images …

This study aims to enhance the performance of the K-Nearest Neighbors (KNN) algorithm by
optimizing the hyperparameter K using the Particle Swarm Optimization (PSO) algorithm. In …