Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Abstract: A precise change detection in the multi-temporal optical images is considered as a crucial task. Although a variety of machine learning-based change detection algorithms have been proposed ...

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

This Selected Issues paper focuses on Cambodia’s satellite data for nowcasting. Cambodia faces limited institutional capacity in the production and timely release of quality official statistics, ...

Please provide your email address to receive an email when new articles are posted on . The Insall-Salvati ratio, tibial tubercle-trochlear groove distance and trochlear depth had the greatest ...

ABSTRACT: The advent of the internet, as we all know, has brought about a significant change in human interaction and business operations around the world; yet, this evolution has also been marked by ...

Abstract: This paper proposes a Random Forest (RF) machine learning algorithm-based prediction model for the state of charge (SoC) level of lithium-ion batteries for electric vehicles. To show the ...

Electric vehicles (EVs) have emerged as a cornerstone of sustainable transportation, but their widespread adoption faces a critical safety challenge: lithium plating in lithium-ion batteries (LIBs).