Abstract: Brain tumor detection and classification play a crucial role in medical imaging, where timely and accurate diagnosis can significantly impact patient health. This study proposes an approach ...

A Dover Area teacher created a class to educate colleagues on the growing presence and impact of artificial intelligence. The class aims to teach responsible AI use, helping educators guide students ...

Abstract: This paper considers the problem of crop classification based on time series data obtained from a mixture of satellite data acquisition methods, namely synthetic aperture radar (SAR) and ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like Sklearn and MNE. Perfect for data scientists and neuroscience enthusiasts!

EEG samples are converted into spike trains using NeuCube. The spatio-temporal spiking patterns are encoded across a 3D SNN reservoir. The resulting spike outputs are stored in out_neucube_open.h5.

To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space can be ...

RNN architectures trained with Backpropagation and Reservoir Computing (RC) methods for forecasting high-dimensional chaotic dynamical systems. This project provides implementations with ...