Abstract: Because of their transparency, interpretability, and efficiency in classification tasks, decision tree algorithms are the foundation of many Business Intelligence (BI) and Analytics ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
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 ...
Abstract: Fine-grained flower image classification (FGFIC) is challenging due to high similarities among species and variations within species, especially with limited training data. Existing genetic ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
WorldAnimalFoundation.org is reader-supported. When you buy through links on our site, we may earn an affiliate commission. Learn More High in the trees, where feathers flutter and nests sway in the ...
Diabetes affects over 537 million adults globally, with early detection critical for effective treatment and management. This project develops a machine learning classification model to predict ...
WorldAnimalFoundation.org is reader-supported. When you buy through links on our site, we may earn an affiliate commission. Learn More Deep within the heart of the world’s forests—where sunlight ...
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...
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