
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
An analytical approach combined with PCA is compared to sensory-directed analysis (SDA) for differentiating honey from multi-floral, wildflower, and clover sources






