1. Amrhar, A., Monterial, M., 2020. Random Forest Optimization for Radionuclide Identification. Technical Report Lawrence Livermore National Lab, LLNL, Livermore, CA (United States).
2. An image is worth 16x16 words: Transformers for image recognition at scale;Dosovitskiy,2020
3. Support vector machines for classification of soils according to geographic origin based on their radionuclide content;Dragović;Serb. J. Geosci.,2018
4. Rapid radionuclide identification algorithm based on the discrete cosine transform and bp neural network;He;Ann. Nucl. Energy,2018
5. Mobilenets: Efficient convolutional neural networks for mobile vision applications;Howard,2017