Abstract: With the intelligent upgrading of manufacturing equipment, high precision and efficiency fault diagnosis improves the stability and productivity. To detect the fault state accurately, the ...

This study proposes an important new approach to analyzing cell-count data, which are often undersampled and cannot be accurately assessed using traditional statistical methods. The case studies ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Dr. Grande's covers topics related to counselor education and supervision including but not limited to mental health, human behavior, relationship dynamics, psychopathology, personality theory, true ...

Missouri lawmakers have banned educators from leaning on a model of reading instruction called the “three-cueing” method as part of a bipartisan education package signed by Gov. Mike Kehoe on ...

Researchers at the Department of Energy’s Oak Ridge National Laboratory (ORNL) have developed a dynamic modeling method that uses machine learning to provide accurate simulations of grid behavior and ...

Abstract: While analyzing large clinical datasets allows for the identification of complex patterns to achieve increased risk prediction accuracy, it also presents challenges for existing risk ...

Empowered by technological progress, sports teams and bookmakers strive to understand relationships between player and team activity and match outcomes. For this purpose, the probability of an event ...