This research is dedicated to assessing the effectiveness of machine learning and ensemble learning models in groundwater potential mapping in Morocco's Tan-Tan region. The Tan-Tan region serves as a ...

A growing number of studies show that the human microbiome plays a vital role in human health and can be a crucial factor in predicting certain human diseases. However, microbiome data are often ...

in oil and gas industries. Accurately identifying flow types and estimating flow velocities of the individual phases are crucial for different purposes, such as observing the process status and ...

Here is a Movie box office prediction including some preprocessing modules in Movie box office prediction (e.g., Statistic, Prediction and Causal Inference),and Ensemble learning algorithm, to build a ...

Microsoft and CMU researchers begin to unravel 3 mysteries in deep learning related to ensemble, knowledge distillation & self-distillation. Discover how their work leads to the first theoretical ...

The implementation of ensemble deep learning in healthcare has significantly enhanced diagnostic precision and treatment efficacy. Traditional deep learning models, while powerful, often face ...

Ensemble-Learning-Strategies-for-Enhancing-Predictive-Models-in-Cardiology This project aims to predict the presence of heart disease in patients using machine learning techniques, particularly ...