IEEE

MMD-MLP: LiDAR-Guided Hyperspectral Data Classification Using Local–Global Directional-MLP With Multiresolution Multiscale Representation

Abstract: Hyperspectral images (HSIs) are rich in spectral information and are widely used in the field of land-cover classification. However, existing deep learning methods ignore the combination of ...
GitHub

MLP Gender Classification from Speech

A deep learning project that trains a Multi-Layer Perceptron (MLP) to classify speaker gender from voice audio using MFCC features. Input Layer (13×40 MFCC matrix) ↓ Flatten Layer (520 neurons) ↓ ...
Hosted on MSN

Sleep Classification with Python – EEG, Sklearn and MNE – Part 1

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!
Frontiers

Neural network-based method for measuring the impacts of epileptic brain activities on cardiac cycles

Although electroencephalogram (EEG) is widely used to monitor brain activity in epilepsy, limitations related to the accessibility and reproducibility of measurements may restrict its everyday use.
Scientific Research Publishing

Emmanuel, I., Sun, Y. and Wang, Z. (2024) A Machine Learning-Based Credit Risk Prediction Engine System Using a Stacked Classifier and a Filter-Based Feature Selection Method ...

ABSTRACT: Credit risk assessment plays an important role in financial services by estimating the chance of a borrower defaulting. Recently, although the Large Language Models (LLMs) have demonstrated ...