At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.

Saliency detection seeks to emulate human visual attention by identifying the most conspicuous regions or objects in an image. Early models relied on low-level cues such as colour contrast, luminance ...

Abstract: This study develops a scalable, effective, and user-friendly solution to tackle the problem of real-time object detection in photos. The suggested approach ...

aState Key Laboratory of Respiratory Disease, Guangdong Key Laboratory of Vascular Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, ...

Abstract: The goal of this project is to improve visually impaired people's quality of life by implementing an advanced system that is nevertheless easy to use. Our main approach is based on using ...

This diagram illustrates how the team reduces quantum circuit complexity in machine learning using three encoding methods—variational, genetic, and matrix product state algorithms. All methods ...

ABSTRACT: The increasing amount and intricacy of network traffic in the modern digital era have worsened the difficulty of identifying abnormal behaviours that may indicate potential security breaches ...

This paper examines the progression and advancements in fault detection techniques for photovoltaic (PV) panels, a target for optimizing the efficiency and longevity of solar energy systems. As the ...

This repository contains code for demonstrating data transmission and machine learning using a client-server model. In this project, we create a client-server architecture where the client generates ...

This project focuses on developing a predictive model for electricity usage to optimize energy consumption and reduce costs. By analyzing weather, occupancy, and seasonal patterns, the XGBoost model ...