Abstract: Rockburst is a dynamic phenomenon characterized by the sudden, abrupt, and violent release of deformation energy in coal and rock masses around mine shafts and slopes that can result in ...

ABSTRACT: This paper investigates the application of machine learning techniques to optimize complex spray-drying operations in manufacturing environments. Using a mixed-methods approach that combines ...

Abstract: Advancement of Geographic Information System (GIS) technologies and Artificial Intelligence (AI) supports development of Decision Support System (DSS) and Spatial Decision Support System ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Data mining is a crucial field in the era of big data, enabling the extraction of valuable patterns and knowledge from large datasets. Among the various techniques used in data mining, decision tree ...

Mellon, J., and Worrell, C., 2023: Explainability in Cybersecurity Data Science. Software Engineering Institute blog, Accessed June 24, 2026, https://doi.org/10.58012 ...

Machine learning algorithms can be used for the prediction of nonnative sound classification based on crosslinguistic acoustic similarity. To date, very few linguistic studies have compared the ...

Scatter plots of observed irrigation indices and estimated irrigation indices by different machine learning models for the validation period. Abbreviations: KNN, k-nearest neighbors; GPR, Gaussian ...

AD is difficult to diagnose in its early stages due to the subtle nature of the cognitive loss. Beta-amyloid is a well-characterized diagnostic marker for AD and its aggregation can be used to predict ...