AI helps find trees in a forest: Researchers achieve 3D forest reconstruction from remote sensing data

Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
EurekAlert!

AI-accelerated gas sensing: a first-principles–guided machine learning platform for black phosphorus sensors

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Frontiers

Machine learning enhanced acute heart failure phenotype prediction using natural language processing and random forest

Background: Heart failure (HF), with its distinct phenotypes, poses significant public health challenges. Early diagnosis of specific HF phenotypes is crucial for timely therapeutic intervention.
GitHub

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression ...

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ahajournals.org

Applying a Random Forest Approach in Predicting Health Status in Patients with Carotid Artery Stenosis 30 Days Post Stenting

Approximately 20% of ischemic strokes in the United States result from carotid artery stenosis. Carotid artery stenting (CAS) can reduce stroke risk, but variability in poststenting health outcomes ...
Game Rant

Sons of the Forest Player Spends 1,000 Days Building Jaw-Dropping Base Without Using Cheats

Gabriel has been playing games since he was a kid. Loves most RPG games, platformers, and innovative indie games, and can talk for hours about how the first Fallout is the greatest game ever. He ...
Scientific Research Publishing

He, S., Wu, J., Wang, D., & He, X. (2022). Predictive Modeling of Groundwater Nitrate Pollution and Evaluating Its Main Impact Factors Using Random Forest. Chemosphere, 290 ...

ABSTRACT: An integrated model approaching to combining the BETR-GLOBAL model with a Random Forest method was developed in this research. Firstly, the BETR-GLOBAL model was employed to simulate the ...
Frontiers

A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support

Background: Decisions surrounding involuntary psychiatric treatment orders often involve complex clinical, legal, and ethical considerations, especially when patients lack decisional capacity and ...
Scientific Research Publishing

Khaidem, L., Saha, S. and Dey, S.R. (2016) Predicting the Direction of Stock Market Prices Using Random Forest. arXiv: 1605.00003.

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...