The land cover classification and urban analysis of remotely sensed images has become a
challenging problem, hence efficient classifiers are required in order to combat the problem …

In this paper, we propose a modular approach to construction of multi-layer spiking neural
networks with a Coulomb energy function based learning algorithm for training each …

Аннотация This article delves into the application of the K-Nearest Neighbors (KNN)
algorithm in image classification within the realm of machine learning. It explores how KNN …

Image classification accuracy is the total number of images predicted correctly out of the total
images in the test dataset in the field of computer vision. Classifying the images accurately is …