Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...
Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...
A diagram illustrating the workflow of the E2E package, from data input to model construction using ensemble methods like Bagging and Stacking, through model evaluation and interpretation, to final ...
Abstract: This paper conducts a study on the acoustic features of laughter signals and performs experiments to identify the most relevant features. Different acoustic features are extracted from ...
Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
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