Introduction: Moving Beyond Predictive Accuracy Prediction has been traditionally the backbone of applied data science. From ...
Abstract: Distributed fiber optic acoustic sensing system (DAS) shows great potential in perimeter security with its high accuracy, high sensitivity and wide range monitoring capability. Aiming at the ...
Not all U.S. value portfolios are created equal. Many are methodology-dependent allocations that produce exposures drastically different from one another, despite being nominally branded as value.
Purpose: This study develops a particle swarm optimization (PSO)-based assessment system for evaluating upper extremity and shoulder joint muscle strength with potential application to stroke ...
Irregular waves exhibit complex and erratic behavior, posing significant challenges for accurate short-term ship motion forecasting. Reliable ship navigation depends on precise motion predictions, ...
Deep learning plays a vital role in real-life applications, for example object identification, human face recognition, speech recognition, biometrics identification, and short and long-term ...
For algorithms that do not globally adapt, RMSE (bins) remains a good metric since it is human interpretable and a perfect algorithm could reach an RMSE (bins) of near zero. But how low could it ...
Due to the variability and unpredictability of solar power, which relies heavily on weather variables such as solar irradiance and temperature, precise forecasting of photovoltaic (PV) energy ...
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