Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
GitHub

Reliable DOM Fluorescence Prediction via Solvent Sensitive Machine Learning and Domain Refinement

This repository contains the complete code implementation for the manuscript "Reliable DOM Fluorescence Prediction via Solvent Sensitive Machine Learning and Domain Refinement". The code implements a ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...
IEEE

Hyperspectral Data Preprocessing Algorithm Using Vegetation Indices for a Convolutional Neural Network

Abstract: This paper addresses the issues of developing and optimizing preprocessing algorithms for hyperspectral data using vegetation indices (VIs) to train convolutional neural network (CNN) ...
GitHub

chhornsolita/Sentiment_Analysis_of_Khmer_Text_Using_ML

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).
IEEE

Impact of Data Preprocessing on Type 2 Diabetes Classification Using Artificial Neural Networks

Abstract: This study examines the impact of preprocessing techniques, including stratification, oversampling (SMOTE), undersampling, and PCA, on neural network performance for early detection of type ...