Abstract: In recent years, hyperspectral image classification methods based on convolutional neural networks and Transformer architectures have achieved remarkable success. However, existing ...
A comprehensive Python library for processing French IGN LiDAR HD data into machine learning-ready datasets. Features include GPU acceleration, rich geometric features, RGB/NIR augmentation, and ...
A modular text classification system that detects misinformation across multiple domains. Each niche has its own dataset, labeling rules, and baseline models (TF-IDF + Logistic Regression / Linear SVM ...
Optimized Feature Selection for Rhizome Image Classification: Evaluation of CFS, ReliefF, and L1-SVM
Abstract: Image classification of rhizome plants plays a crucial role in supporting agriculture, the herbal industry, and biodiversity conservation. However, the high visual complexity-resulting from ...
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