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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!

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 ...

I am trying to run image classification inference with HyperSIGMA on my own hyperspectral .mat data file. I have the pretrained weights and all dependencies set up. However, I’m not sure how to: ...

Organizations that track the material are reporting a surge in A.I. images and videos, which are threatening to overwhelm law enforcement. By Cecilia Kang Cecilia Kang has covered child online safety ...

This repository contains the implementation of a robust multi-task learning model designed to analyze images for air quality. The model simultaneously performs two tasks: Binary Classification: It ...

Research Center for Safety Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi 464-8601, Japan Environment, Health & Safety Office, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Aichi ...

Abstract: Hyperspectral image (HSI) classification involves assigning unique labels to each pixel to identify various land cover categories. While deep classifiers have achieved high predictive ...