Joseph severino

Applications of explainable artificial intelligence in renewable energy research

Researchers in renewable energy are applying deep learning (DL) to a variety of problems from diverse renewable energy domains, such as biofuels, wind, solar, power systems, …

Jordan perr sauer
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Addressing bias in bagging and boosting regression models

As artificial intelligence (AI) becomes widespread, there is increasing attention on investigating bias in machine learning (ML) models. Previous research concentrated on …

Juliette ugirumurera
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A Machine Learning Method for Real-Time Traffic State Estimation from Probe Vehicle Data

Reliable Traffic State Estimation (TSE) is an important precursor to developing sophisticated traffic controls for intelligent transportation systems (ITS). Historically, TSE is …

Erik a bensen
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