Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...

The study, titled "Machine Learning Technique for Carbon Sequestration Estimation of Mango Orchards Area Using Sentinel-2 Data," is led by Prof. Sittichai Choosumrong from the Department of Natural ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...

2) The Oral Glucose Tolerance Test (OGTT) evaluates blood sugar levels two hours post-consumption of a 75 g glucose solution.

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

Objectives Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterised by multiorgan involvement.

This systematic review examined the impact of unemployment and re-employment on mental health problems (depression, anxiety ...