Digital Trends

Instagram supercharges creation and feed control with new Edits app features and “Your Algorithm”

Instagram has launched a major update for its Edits app. The app’s latest version adds pre-built templates, storyboards, advanced text customization options, and the ability to pull public Reels ...
Frontiers

UAV-based multitier feature selection improves nitrogen content estimation in arid-region cotton

Introduction: Nitrogen plays a pivotal role in determining cotton yield and fiber quality. Nevertheless, because high-dimensional remote-sensing data are inherently complex and redundant, accurately ...
Frontiers

Characterization and feature selection of volatile metabolites in Yangxian pigmented rice varieties through GC-MS and machine learning algorithms

Introduction: Pigmented rice is fascinated by consumers for its abundant phytochemicals and unique aroma. Methods: In this study, GC–MS-based metabolomics of Yangxian colored rice varieties were ...
IEEE

A Surrogate-Assisted Multi-Phase Ensemble Feature Selection Algorithm With Particle Swarm Optimization in Imbalanced Data

Abstract: Feature selection based on evolutionary algorithm (EA) is an effective dimension reduction technology. However, existing EAs still constrained by high computational cost and easy-to-local ...
IEEE

Two-Stage Hybrid Feature Selection: Integrating ACO Algorithms With a Statistical Ensemble Technique for EV Demand Prediction

Abstract: This paper presents a novel hybrid algorithm combining Ant Colony Optimization (ACO) and multi-model ensemble feature selection techniques to enhance the accuracy of Support Vector ...
Scientific Research Publishing

Maya Gopal, P.S. and Bhargavi, R. (2019) Performance Evaluation of Best Feature Subsets for Crop Yield Prediction Using Machine Learning Algorithms. Applied Artificial ...

ABSTRACT: In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset.
Scientific Research Publishing

Analyzing the Impact of Feature Selection on Crop Yield Prediction ()

In agriculture sector, machine learning has been widely used by researchers for crop yield prediction. However, it is quite difficult to identify the most critical features from a dataset. Feature ...