The IT team at North-Eastern Hill University has launched an innovative AI-driven landslide mapping tool specifically for Meghalaya. Utilizing an impressive combination of ten machine learning ...
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 ...
Abstract: Accurate fall risk prediction is crucial for early intervention and prevention, effectively reducing the incidence of falls and the associated harm. This paper proposes a non-contact gait ...
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 ...
Rapid and accurate identification of lactic acid bacteria (LAB) species would greatly improve the screening rate for functional LAB. Although many conventional and molecular methods have proven ...