Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset

Miodrag Živković; Luka Jovanović; Milica Ivanovic; Aleksa Krdzic; Nebojša Bačanin; Ivana Strumberger

doi:10.1007/978-981-16-9605-3_2

ScienceGate Book Chapters

BOOK-CHAPTER

Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset

Miodrag Živković Luka Jovanović Milica Ivanovic Aleksa Krdzic Nebojša Bačanin Ivana Strumberger

Year: 2022 Lecture notes on data engineering and communications technologies Pages: 15-31 Publisher: Springer International Publishing

DOI: 10.1007/978-981-16-9605-3_2

Get Full-Text PDF Get Analytical Report

Keywords:

Sine Algorithm Coronavirus disease 2019 (COVID-19) Feature selection Trigonometric functions Pattern recognition (psychology) Feature (linguistics) Computer science Artificial intelligence Selection (genetic algorithm) Mathematics Medicine

Metrics

Cited By

8.27

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Artificial Immune Systems Applications

Physical Sciences → Engineering → Biomedical Engineering

Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset

Metrics

Citation History

Topics

Related Documents

Sine cosine optimization algorithm for feature selection

Feature selection based on dataset variance optimization using Hybrid Sine Cosine – Firehawk Algorithm (HSCFHA)

A binary Sine Cosine-Modified Whale Optimization Algorithm for Feature Selection

A Hybrid Feature Selection Framework Using Improved Sine Cosine Algorithm with Metaheuristic Techniques

SCChOA: Hybrid Sine-Cosine Chimp Optimization Algorithm for Feature Selection