Combining microscopy and machine-learning techniques leads to faster, more precise analyses of critical coating materials ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...

1 Department of Computer Science, University of Technology, Baghdad, Iraq 2 Department of Computer Science and Engineering, Artificial Intelligence and Innovation Centre (AIIC), University of ...

Background and objective: The increasing global prevalence of diabetes has led to a surge in complications, significantly burdening healthcare systems and affecting patient quality of life. Early ...

Speech and language processing. At the end of the beginning. byPicture in the Noise@pictureinthenoise byPicture in the Noise@pictureinthenoise Speech and language processing. At the end of the ...

A suite of ML models—Logistic Regression, Random Forest, KNN, SVM, Gaussian Naive Bayes—was used to predict patient readmission. (1) Rasoul Samani, School of Electrical and Computer Engineering, ...

Machine learning (ML) is a subset of AI where a system learns patterns from data and makes decisions without being explicitly programmed for each outcome. In software development, this technology ...