Abstract: The high performance of conventional model predictive control (CMPC) for electric drives depends on the fidelity of the machine’s parametric model. However, the parameters of the interior ...
We invite you to join our industry specialists for a virtual session on how to use Bloomberg functionality in Excel. This ...
Jon McManus, Inova’s chief data and AI officer, says that as the number of AI solutions deployed multiply, health systems ...
Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Precision Psychiatry Market is projected to reach US$ 4.2 Bn by 2035, driven by rapid integration of AI and ML in psychiatric ...
Objective: To identify risk factors for oral mucosal pressure injury (OMPI) in intensive care unit (ICU) patients undergoing orotracheal intubation and to develop and validate a risk prediction ...
Objective: To explore the risk factors of cognitive dysfunction in patients with leukoaraiosis (LA) and to construct a predictive model using machine learning. Methods: A total of 273 patients with LA ...
The convergence of digital transformation and the GenAI revolution creates an unprecedented opportunity for accelerating progress in precision health. Precision immunotherapy is a poster child for ...
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