The World Health Organization (WHO) is issuing, for the first time, recommendations on new near-point-of-care (NPOC) ...

KSManage is designed for next-gen AI data center, with four-level visibility across components, servers and cabinets, clusters, and AI jobs, and ensures the AI data centers' high availability As AI ...

UNSW researchers have developed a thermal-aware tracking algorithm that reduces solar module temperatures and UV exposure during inverter clipping and curtailment, slowing degradation without lowering ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

Cracks are among the earliest and most critical signs of structural deterioration. Identifying them accurately is essential for preventive maintenance and structural health monitoring. Traditional ...

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

Abstract: Remote sensing images processing and analysis face significant challenges due to varying object scales and complex backgrounds. Existing detection algorithms often suffer from high ...

ABSTRACT: Nowadays, understanding and predicting revenue trends is highly competitive, in the food and beverage industry. It can be difficult to determine which aspects of everyday operations have the ...

Cancer-related lymphedema (CRL) is a common chronic complication following cancer treatment, characterized by impaired lymphatic drainage, interstitial fluid retention, and progressive fibrosis.