The significant scatter in high cycle fatigue life of additively manufactured metallic
components presents an increasing challenge to structural integrity. This fatigue life …

Background Machine learning (ML) is pivotal in food authentication, yet biases in feature
importance assessments and model dependency remain critical challenges, as highlighted …

Abstract Study region The Steenkoppies Catchment is located approximately 75 km
southwest from Pretoria, South Africa (RSA). Study focus This study tested a framework for …

Toddy trends and the organic conundrum: a closer look at consumer behaviour with decision
tree | Emerald Insight Books and journals Case studies Expert Briefings Open Access Publish …

Neural network quantization is a critical method for reducing memory usage and
computational complexity in deep learning models, making them more suitable for …

Agriculture has a significant worldwide impact in terms of generating employment
opportunities and stimulating economic growth. In India, agriculture plays a crucial role in …

The management of post-fermentation phase is essential for the protection of wine oxidation.
The prolonged contact of yeast lees and wine can help to limit this problem, although off …

The present research investigates the significance of the Exploratory Data Processing (EDP)
phase as an essential first step in predicting the quality of red wine utilising a Decision Tree …

Spanish fortified wines with Protected Designation of Origin (PDO) are esteemed for their
deep-rooted tradition, historical significance, and exceptional viticultural quality. Spain …

The interpretability of models is enhanced by the use of visualisations, statistical analysis,
and evaluations of feature relevance. Additionally, the particular capabilities of Support …