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! # ...

Learn how to run a Python script using Docker with a real example. Package your code and dependencies for any system, step by step.

Where applicable, slopes for specific variables were calculated using the linear regression function within Python Scikit-learn (sklearn) linear model. Slopes were derived from baseline values and ...

Therefore, in this article, we propose a fast and secure kNN classification protocol, namely FSkNN, over distributed databases deployed in multiple clouds under the semi-honest model. Particularly, we ...

This method can reduce misclassification by narrowing down predictions through intermediate nodes and is particularly effective for large-scale datasets with numerous categories. This research builds ...

Explore how machine learning, EEG data, and high-performance computing can help detect signs of consciousness.

Particularly, we focus on optimizing the network-related operations during kNN classification. That is, the proposed cryptographic protocol reduces the number of interactions between the servers by ...

This repository contains two Jupyter notebooks demonstrating the use of the K-Nearest Neighbors (KNN) algorithm for both classification and regression tasks. It offers a thorough exploration of the ...

What if instead, Norgan says, we can use AI to predict what’s happening on the molecular level? It’s an experiment: Could the AI model spot underlying molecular changes that humans can’t see?