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 ...
IEEE

Data-Driven Methods for Sensing, Modeling and Control of Soft Continuum Robot: A Review

Abstract: Inspired by soft-bodied animals, soft continuum robots provide inherently safe and adaptive solutions in robotics, especially suited for applications requiring gentle interactions. However, ...

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

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 ...