How can artificial intelligence improve the analysis of chromatographic data? Artificial intelligence (AI) is a powerful and ...

Gaming has become a vital research area in the most advanced forms of decision algorithms, optimization, and procedural ...

The role of machine learning and deep learning in wildfire prediction remains limited by geographic concentration, uneven ...

Astronomers at the University of Warwick published a study this week in the Monthly Notices of the Royal Astronomical Society ...

In a recent InfoWorld article, I introduced the concept of the Agent Tier — a runtime architecture that separates ...

The semiconductor industry is known for its complex production. Thousands of machines (tools) perform thousands of operations over a diverse range of products with re-entrant flows and shifting ...

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

Accurate prediction of mud loss volume in drilling operations is a critical challenge in industries such as petroleum engineering and geothermal well construction. Unforeseen mud loss leads to ...

Kidney cancer is a highly heterogeneous oncologic disease with historically poor prognosis. Precise assessment of the risk of distal metastasis can facilitate risk stratification and improve prognosis ...

Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...

1 Department of Computer Engineering, University of Burundi (UB), Bujumbura, Burundi. 2 Ecole Normale Supérieure (ENS), Bujumbura, Burundi. 3 University Research Laboratory in Modeling and Applied ...