MOWOA-D based Feature Selection Study for Pneumonia Detection

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Bio-Inspired Computation
Published
2025-01-01
DOI
https://doi.org/10.1504/ijbic.2025.10070157
Primary Topic
COVID-19 diagnosis using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

MOWOA-D based Feature Selection Study for Pneumonia Detection

Chaodong Fan, Leyi Xiao, Yixuan Su, Xia Xie
International Journal of Bio-Inspired Computation
COVID-19 diagnosis using AI
article

MOWOA-D based Feature Selection Study for Pneumonia Detection

Chaodong Fan, Leyi Xiao, Yixuan Su, Xia Xie
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Bio-Inspired ComputationVol. 1(1)
Zero hunger
Openalex Percentile: Top 92%
COVID-19 diagnosis using AI
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MOWOA-D based Feature Selection Study for Pneumonia Detection — Chaodong Fan, Leyi Xiao, et al. · International Journal of Bio-Inspired Computation (2025) | TGRS Research Map | TGRS