OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

Abstract: Underwater acoustic data classification has received significant attention from the research community in recent years because of its potential applications in underwater object detection ...

This repository is the code implementation of the paper Fine-grained Hierarchical Crop Type Classification from Integrated Hyperspectral EnMAP Data and Multispectral Sentinel-2 Time Series: A ...

Abstract: Pattern mining, one of the data analysis approaches, provides meaningful assistance for various business services, such as product recommendation and marketing. However, certain real-world ...

Automatically downloads and load many multimodel remote sensing datasets (houston, muufl, trento, berlin, augsburg, etc.) Provides ready-to-use torch dataloaders Provides utils for visulization, ...