Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Overview This project implements a hybrid machine learning model combining LSTM (Long Short-Term Memory) and Linear Regression to predict stock closing prices. The model leverages LSTM's ability to ...

Common types of AI models include machine learning, deep learning, natural language processing, computer vision, generative AI, and hybrid AI. (Jump to Section) ...

A hybrid model combining classification algorithms with association rule mining was developed. Two relational classification approaches, regularized class association rules (RCAR) and classification ...

Focusing on spatial heterogeneity, we present a hybrid machine learning model combining two competitive algorithms: the Random Forest Regressor and CNN. The model is fine-tuned using cross validation ...

Protein classification is a crucial field in bioinformatics. The development of a comprehensive tool that can perform feature evaluation, visualization, automated machine learning, and model ...

Urban land cover classification aims to derive crucial information from earth observation data and categorize it into specific land uses. To achieve accurate classification, sophisticated machine ...