Search Results for author:
Found 4 papers, 0 papers with code
Neural Network Modeling for Forecasting Tourism Demand in Stopića Cave: A Serbian Cave Tourism Study
For modeling the number of visits in Stopi\'{c}a cave (Serbia) we consider the classical Auto-regressive Integrated Moving Average (ARIMA) model, Machine Learning (ML) method Support Vector Regression (SVR), and hybrid NeuralPropeth method which combines classical and ML concepts.
Reconstruction for Sparse View Tomography of Long Objects Applied to Imaging in the Wood Industry
In the wood industry, logs are commonly quality screened by discrete X-ray scans on a moving conveyor belt from a few source positions.
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture
To the best of our knowledge, this work is the first to apply an unrolled deep learning architecture for reconstruction on full-sized clinical data, like those in the Low dose CT image and projection data set (LDCT).
Ensemble of Convolutional Neural Networks for Dermoscopic Images Classification
In this report, we are presenting our automated prediction system for disease classification within dermoscopic images.
