Through-the-wall radar (TWR) achieves indoor human activity recognition (HAR) by
extracting Doppler and micro-Doppler features. However, the conventional deep learning …

Many venues, such as airports, railway stations, and shopping malls, have video
surveillance systems for security and monitoring. However, searching for and retrieving …

Object detection is an important aspect of computer vision research, involving determining
the location and class of objects within a scene. For an object detection system to run in real …

Medical imaging is a widely accepted technique for the early detection and diagnosis of
disease within digital health. It includes different techniques such as Magnetic resonance …

Object detection is an essential function for mobile robots, allowing them to carry out
missions efficiently. In recent years, various deep learning models based on convolutional …

Fruits detection and counting is an important task for yield prediction that could be achieved
by computer vision. The ability to locate and count the fruits could also help the harvesting …

The paper aims to create an understanding of the importance of remote sensing data and its
efficient analysis. The authors show the benefits that the combination of unmanned aerial …

The number of vehicles is increasing every year, and along with it, the number of traffic
violations is also rising.. Traffic violations are one of the causes of traffic accidents. Currently …

Plant leaves are considered as valuable sources of information for accurate plant species
identification. It is having significant impact in various fields such as pharmacology, ecology …

The objective of this endeavor is to create a specialized sign language recognition system
created specifically for Kannada, an indigenous language spoken in India. While there are …