Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...
In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
The integration of machine learning (ML) into the cattle industry is transforming the way health outcomes are predicted, offering unprecedented opportunities to improve animal welfare and production ...
Purpose: This paper aims to review the literature on 12-lead ECG reconstruction, highlight various algorithmic approaches and evaluate their predictive strengths. In addition, it investigates the ...
When we use the NonLinearLeastSquaresCalibration class, the choice of the optimization algorithm can be very influential on the result of the parameter distribution ...
The Frequency Modulation Combined (FMC) waveform has delay (range)-Doppler (velocity) coupling resolution, and the traditional nonlinear high-resolution algorithms represented by Point-wise Product ...
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