< jats: p> The primary task of machine learning is to extract valuable information from the
data that is generated every day, process it to learn from it, and take useful actions. Original …

Abstract Machine learning algorithms have been widely applied in mineral prospectivity
map** (MPM). In this study, we implemented ensemble learning of extreme gradient …

Plant-leaf disease detection is one of the key problems of smart agriculture which has a
significant impact on the global economy. To mitigate this, intelligent agricultural solutions …

Flash flood risk assessment, a widely applied technology in preventing catastrophic flash
flood disasters, has become the current research hotspot. However, most existing machine …

Recent advances in machine learning (ML) have shown great promise in detecting heart
disease. However, to ensure the clinical adoption of ML models, they must not only be …

The spatial information of rockhead is crucial for the design and construction of tunneling or
underground excavation. Although the conventional site investigation methods (ie borehole …

Egg quality detection is important to food processing and people consumption. The aim of
this study is to detect egg freshness, scattered yolk and eggshell cracks by applying …

Heart disease is a widespread global concern, underscoring the critical importance of early
detection to minimize mortality. Although coronary angiography is the most precise …

Toluene is a neurotoxic aromatic hydrocarbon and one of the major representatives of
volatile organic compounds, known for its abundance, adverse health effects, and role in the …

Heart Disease (HD) is often regarded as one of the deadliest human diseases. Therefore,
early prediction of HD risks is crucial for prevention and treatment. Unfortunately, current …