This article explores how international tax laws and tariff shocks can together demotivate affiliates of a multinational enterprise (MNE) from pursuing operational excellence and continuous ...
EEG Person Identification using CNN + RNN Hybrid Model đź“‹ Project Overview This project implements a deep learning system for person identification based on EEG (electroencephalography) brainwave ...
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!
1 Unité de Recherche d’Automatique et d’Informatique Appliquée (UR-AIA), IUT of Bandjoun, University of Dschang, Dschang, Cameroun. 2 Unité de Recherche de Matière Condensée d’Electronique et de ...
Abstract: Electroencephalography (EEG) is a vital non-invasive technique used in neuroscience research and clinical diagnosis. However, EEG data have a complex non-Euclidean structure and are often ...
In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...
If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...
Hi, We have been working with HRV analyses and brain-heart interactions, using several Matlab and Python packages including Neurokit2 and MNE. We will likely have some features we would like to add to ...
Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...
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