Feature_extraction_data_and_code

This dataset contains sample raw sensor data and feature extraction code supporting the research article "Spatiotemporal Multi-Sensor Characterization of Melt Pool Dynamics in Laser Directed Energy Deposition." The uploaded materials include: Sample_Data folder: Representative raw data from multiple sensors (coaxial CMOS camera, near-infrared camera, microphone, and optical spectrometer) collected during L-DED process monitoring Feature extraction code: Python scripts (e.g., cmos_feature_extraction.py) demonstrating the algorithms used to extract spatiotemporal features from the multi-sensor signals These materials provide examples of the synchronized heterogeneous sensor data and the computational methods employed in our spatiotemporal feature fusion framework. The dataset is intended to support reproducibility and serve as a reference for researchers developing multi-sensor monitoring systems for additive manufacturing processes.