Glass Fracture Pattern Classification Using Machine Learning

Forensic Science › Forensic Glass Fracture Pattern Analysis Research

Glass Fracture Pattern Classification Using Machine Learning

Interns will develop and train machine learning models to automatically classify different types of glass fracture patterns (radial, concentric, and mixed fractures). This involves creating datasets of fracture images, implementing classification algorithms, and validating model accuracy against expert forensic analysis for potential case applications.

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