IEEE

Feature Selection for Battery Lifetime Prediction using Explainable Machine Learning

Abstract: Accurate battery lifetime estimation is crucial for health management and system safety. Data-driven research yields extensive feature sets, yet optimal feature selection is often impeded by ...
Scientific Research Publishing

Hall, M.A. (1999) Correlation-Based Feature Selection for Machine Learning. Ph.D. Thesis, The University of Waikato.

ABSTRACT: This study presents a comprehensive and interpretable machine learning pipeline for predicting treatment resistance in psychiatric disorders using synthetically generated, multimodal data.
Scientific Research Publishing

Comparative Research in Sentiment Analysis Using Machine Learning Technique ()

In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper presents a ...
Southern Living

9 Surprising Things You Can (And Should) Be Washing In Your Laundry Machine

Brandee Gruener is a digital editor and writer with 20 years of experience. Her articles on gardening, homes, food, and health have appeared in Hunker, American Gardener, and other national and ...