A new research paper shows the approach performs significantly better than the random-walk forecasting method.
The paper shows how artificial intelligence can transform wastewater treatment by making plants smarter, more ...
Pharaoh saw two dreams, which Joseph recognized as structurally equivalent and carrying the same message. A stable system ...
Objective: To evaluate immune microenvironment markers for predicting sepsis-induced myocardial dysfunction (SIMD) and establish three predictive models—nomogram, decision tree, and gradient boosting ...
Objective: To systematically review existing predictive models for futile recanalization after mechanical thrombectomy in patients with acute ischemic stroke, in order to provide a basis for treatment ...
Dr. Bin Tang, Founder & CEO of Noah Digital, is an internationally recognized AI & digital marketing leader & author of “Local to Global.” For years, digital marketing has been synonymous with ...
Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...
ABSTRACT: Lake Victoria, the largest freshwater lake in Africa and a vital resource for over 45 million people across Kenya, Uganda, and Tanzania, is experiencing escalating environmental degradation ...
Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...
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