The idea of spatial correlation has been used in polarimetric synthetic aperture radar (PolSAR) classification for many years. It is common that the bigger the spatial correlation, the more ...

The key feature of the algorithm is data preprocessing approach, which allows to increase generalization of the neural network performing classification. We also present a new dataset for the task of ...

In this project we have done with halilkolge ; We perform classification operations using decision trees, KNN, Naive Bayes, Neural Network and Support Vector Machines algorithms.

Deep learning (DL) techniques, more specifically Convolutional Neural Networks (CNNs), have become increasingly popular in advancing the field of data science and have had great successes in a wide ...

Using a convolution neural network algorithm, this automated external defibrillator device enters the challenging field to improve bystander defibrillation, the detection of a shockable rhythm, and to ...

Keywords: robot image classification, CapsNet neural network, MobileNetV2, attention module, spatial and channel information. Citation: Zhang J, Yu X, Lei X and Wu C (2022) A novel CapsNet neural ...

Neural networks are more powerful than these alternatives, in both the mathematical sense and ordinary language sense, but neural networks are more complex than the alternatives. Let me reiterate that ...