CONTAIN™ represents the next breakthrough in AI-powered ore sorting from TOMRA Mining – a deep learning solution purpose-built to classify complex inclusion-type ores with unprecedented accuracy. By ...

Finally, classification of melanoma on the basis ... falls in a continuous spectrum lacking discernable entities 2. Our data show that melanoma is a useful model to identify genes critical for ...

Pakistan is set to allocate 2000MW of state grid electricity to Bitcoin mining and AI data centers, the state Finance Ministry said. The ministry announced the plans to use surplus electricity to ...

There are also versions for teams and organizations, either as a standalone to provide data mining with visualization and interactive dashboards, while there's also a version for live analytics ...

The British Athletics Muscle Injury Classification proposes a new system, based on the available evidence, which should provide a sound diagnostic base for therapeutic decision-making and ...

Abstract: With the extending of the data mining application domain, the research of the privacy preserving data mining technique becomes more and more important ...

In this paper, to deal with the training samples dynamics and improve the forecasting accuracy, a data mining approach consisting of K-means clustering and bagging neural network (NN) is proposed for ...

These data formed the basis for developing the classification criteria, which were tested in an independent data set. Results The entry criterion for the new classification criteria requires the ...

Keywords: Process mining, Educational process mining, Intelligent decision making, gaps on educational process mining, emerging opportunities EPM Literature Classification, gaps, and Emerging ...

This data-mining scheme is generally applicable for any large data sets. It bypasses the common prior knowledge constraints and reports on the overall peptide fragmentation behavior. It improves the ...