来自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!
IEEE

Anomaly Detection in IoT Networks Using MLP Classifier and RT-IoT2022 Dataset

Abstract: This research explores the use of the Multi-Layer Perceptron (MLP) Classifier for anomaly detection in IoT networks using the RT-IoT2022 dataset. The dataset contains 12 classes, including ...
Scientific Research Publishing

Emmanuel, I., Sun, Y. and Wang, Z. (2024) A Machine Learning-Based Credit Risk Prediction ...

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 ...
GitHub

mlp-classifier

The Toxic Comments Classifier is a robust machine learning tool implemented in C++ designed to identify toxic comments in digital conversations. Featuring a custom-built multi-layer perceptron (MLP) ...
IEEE

Breast Cancer Thermograph Classification Using MLP Classifier

Abstract: Carcinoma of the breast, a highly lethal disease in the present era, necessitates thorough examination, diagnosis, and treatment of the tumor, particularly in its early stages, to enhance ...