Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...
A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...
Cardiovascular disease continues to be the leading cause of death worldwide. To save lives, constantly improving diagnostic ...
Dengue is becoming a bigger challenge in many parts of the world, including Latin America, as the factors that influence mosquito-borne disease continue to shift. McCord noted that in the Amazon and ...
A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
Where the optimal outcome is predictable, that's where the predictive enterprise approach really shines at driving significant ROI transformations.
Abstract: Model-free predictive current control (MFPCC) of permanent magnet synchronous machines (PMSMs) can be achieved by utilizing measured input–output data to eliminate the influence of machine ...
At Project Convergence Capstone 5, Soldiers and leaders experimented with a new way of fighting, one where decisions were not ...
Charles River Analytics is developing advanced predictive maintenance and logistics technologies for the United States Navy’s ship systems. The technology helps ensure reliability across the entire ...
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 ...
Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited ...
With the wealth of data institutions have at their disposal, and with the emergence of more sophisticated analytics and decision-making capabilities, institutions have an opportunity to shift from ...
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