Water leaves a memory in the land. Even after thousands of years, it lingers as faint ridges and subtle curves that only ...

One of the most difficult challenges in payment card fraud detection is extreme class imbalance. Fraudulent transactions ...

The transformation is documented in the study A Review of Drones in Smart Agriculture: Issues, Models, Trends, and Challenges ...

Researchers at Beijing Normal University used advanced machine learning and satellite imagery to map forest management ...

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...

When a grizzly bear attacked a group of fourth- and fifth-graders in western Canada in late November 2025, it sparked more ...

Researchers at Tsinghua University have created a rapid, label-free method using polarized light detection to identify and ...

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...

Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.

The proposed framework of urban space monitoring and optimization. (A) Urban building space identification and change monitoring. (B) Optimization in non-construction area, designating vacated parcels ...

Abstract: This study evaluates the performance of using machine learning models; J48 and Random Forest to classify bananas quality. The existing methods of visual inspection are qualitative and take ...

ABSTRACT: Biogas is gaining prominence as a renewable energy source with significant potential to reduce greenhouse gas emissions and mitigate environmental impacts associated with fossil fuels. This ...