machine learning
The research of the configurations in some locating acoustic system for geospatial modeling in GIS to increase the coordinate accuracy
GIS solutions for monitoring disasters and their impact on the assessment of land resources
Using artificial intelligence in GIS for the needs of land management
System for license plate recognition based on Viola-Jones algorithm
Application of machine learning algorithms for the study of Galicia population’s social characteristics in the interwar period (1919-1939)
MOBILE SYSTEM FOR TEXT RECOGNITION AND TRANSALTION WITH USING MICROSOFT COGNITIVE API
Handwritten Characters Recognition Using Modification of Classic Rosenblatt’s Perceptron Extended with Multiple S-layers
Presented structure and principles of perceptron with multiple sensor layers. Demonstrated how it recognize character image and vote for result
Neural Network Technology for Image Downscaling
In this paper described for the first time neural network technology developed to zoom out images scale. The developed method uses a neural structure model geometric transformations to establish the connections between frames pairs of images of high and low resolution. Adjusted so in the learning process synaptic scales allow to change the scale of images of one class without substantial loss of quality