Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
Abstract: A novel robust device-free moving-object localization and tracking approach incorporating a machine-learning classifier with both Kalman filter and Kalman smoother is proposed in this work.
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The probabilistic gradient boosting model proposed had ROC AUC values of 0.9293, 0.9610, and 0.9646 on ClinVar variants, GRCh37, and GRCh38 human genome respectively. Furthermore, the dataset was ...
633views Original Research Published on 03 Jul 2026 Identifying risk factors for drug use recurrence with ecological momentary assessment, wearable technologies, and machine learning: a feasibility ...
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