IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
GitHub

codemaker2015/zenml-classification-pipeline-demo

zenml_classifier/ ├── README.md # This file ├── pyproject.toml # Project configuration & dependencies ├── requirements.txt # Python package dependencies │ ├── pipeline.py # Main ZenML orchestration ...
GitHub

IGN LiDAR HD Processing Library

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 ...
IEEE

Machine learning pipeline for bearing fault diagnosis using statistical and spectral features

Abstract: Bearing fault diagnosis is critical for predictive maintenance in rotating machinery. This paper presents a comprehensive approach combining signal processing techniques and machine learning ...