Abstract: Multiunit activity (MUA) has been proposed to mitigate the robustness issue faced by single-unit activity (SUA)-based brain-machine interfaces (BMIs). Most MUA-based BMIs still employ a ...

Abstract: Deep-learning-based health prognostics is receiving ever-increasing attention. Most existing methods leverage advanced neural networks for prognostics performance improvement, providing ...

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Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

An end-to-end machine learning pipeline for air quality prediction and analysis. Features data preprocessing, feature engineering, Analog Ensemble, LSTM, Bayesian Correction, and Explainable AI. - ...

Combining various data sources and other types of information is becoming increasingly important in various types of analyses. Certain classes of Bayesian hierarchical models have shown to be ...

Leaf functional traits—chlorophyll (CHL), carotenoid (CAR), equivalent water thickness (EWT), nitrogen (N), and leaf mass per ...

A systematic review newly published in the Journal of Pipeline Science and Engineering maps machine learning (ML) advances for pipelines across the full lifecycle: reliability-based design, structural ...

Returning to academia was also personal. Introduced to Bhaktee Dongaonkar by Kavita Vemuri, he began a PhD in Cognitive ...

Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...

Three funds filed to let software run the portfolio. The sales pages promise a lot. The risk pages quietly take most of it back.