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 laser-scanning technologies. Doing the same with forest data has proven far more ...
IEEE

An Improved Iterative Learning Control Approach Based on Random Forest and Whale Optimization for Urban Traffic Signals

Abstract: Iterative learning control (ILC) has demonstrated effectiveness in urban traffic signal control systems. However, conventional ILC methods typically require infinite iterations to achieve ...
C&EN

Speaking Different Languages Impacts Size-Resolved Exhaled Breath Aerosol Particle Emission

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Building on the above findings, we investigated the differences ...
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 ...
Scientific Research Publishing

Kirasich, K., Smith, T. and Sadler, B. (2018) Random Forest vs Logistic Regression: Binary Classification for Heterogeneous Datasets. SMU Data Science Review, 1, Article 9.

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 ...
IEEE

Factor Screening for Equivalence Ratio Measurement Modeling: A Hybrid Approach Integrating Random Forest Algorithm and Support Vector Regression

Abstract: Measuring the equivalence ratio using flame spectral data is a key focus in combustion diagnostic techniques. Traditional methods rely on chemiluminescent bands with distinct spectral ...
Frontiers

Development and Validation of a Random Forest Diagnostic Model of Acute Myocardial Infarction Based on Ferroptosis-Related Genes in Circulating Endothelial Cells

State Key Laboratory for Oncogenes and Related Genes, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai, China The high ...
Frontiers

Toward the Prediction of Multi-Spin State Charges of a Heme Model by Random Forest Regression

Hubei Key Laboratory of Agricultural Bioinformatics, College of Informatics, Huazhong Agricultural University, Wuhan, China The random forest regression (RFR) model was introduced to predict the ...