Convolutional neural network applications in fire debris classification

HIGHLIGHTS

• who: Anuradha Akmeemana and colleagues from the National Center for Forensic Science, University of Central Florida, Orlando, FL, USA have published the article: Convolutional Neural Network Applications in Fire Debris Classification, in the Journal: Chemosensors 2022, x of /2022/
• what: The aim of this work is to apply convolutional neural_networks for fire debris classification. In the model used in this work, max-pooling was applied after each convolutional layer. The model was trained ten times and the average training and testing accuracies were calculated.
• how: In this work CNNs are applied to classify . . .
  

   

  

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