Diversified mining group BHP has announced the establishment of its first Industry AI Hub in Singapore, a move aimed at ...

This study presents a comprehensive model for single-atom catalysts in CO2RR, highlighting pH and interfacial electric fields ...

Students will receive training in various data mining and machine learning techniques, enabling them to analyze and extract meaningful information from complex data effectively.

In addition to some statistical methods, machine learning ... data. The models used are K-nearest neighbors (KNNs), support vector machine (SVM), and multilayer perceptron (MLP). These models were ...

Antimicrobial-resistant (AMR) “superbugs” contribute to more than 4.5 million deaths globally per year and threaten to make ...

Decision trees, originally implemented in decision theory and statistics, are highly effective tools in other areas such as data mining, text mining, information extraction, machine learning, and ...

VANCOUVER, BC / ACCESS Newswire / May 30, 2025 / Future Fuels Inc. (TSXV:FTUR)(FSE:S0J) ("Future Fuels" or the "Company") is pleased to announce that it has signed an agreement with VRIFY Technology ...

A lot of progress has been made in areas such as visual data mining and natural language processing using deep learning techniques. Deep learning is a branch of machine learning and has been used ...

To date, most applications for industrial AI have been for predictive applications, such as for maintenance optimization or ...

We review the current state of data mining and machine learning in astronomy. Data Mining can have a somewhat mixed connotation from the point of view of a researcher in this field. If used correctly, ...