Engineers are making it easier for researchers from a broad range of backgrounds to understand how different species are evolutionarily related, and support the transformative biological and medical ...

The researchers sought to make population estimates for 37 commercially important species in mangrove forests around the world and then add them all together to calculate a global estimate.

double X_features_fraction = 1.0, ///< Proportion of features used (Accepts values from 0.0 to 1.0) double X_obs_fraction = 1.0, ///< Proportion of rows used from the training set (Accepts values from ...

Abstract: This paper presents a novel framework for whole-body torque control of humanoid robots without joint torque sensors, designed for systems with electric motors and high-ratio harmonic drives.

This compares ML models, such as Random Forest (RF) and XGBoost, against deep learning models, such as Long Short-Term Memory (LSTM), in terms of the accuracy of their market forecasting over ...

Random Forests and Decision Trees are powerful machine learning algorithms used for both classification and regression tasks. These algorithms are popular due to their interpretability, versatility, ...

3) AI Engine: This component analyzes student progress, provides adaptive learning recommendations, predicts learning outcomes, and offers personalized feedback based on machine learning models such ...