A COVID-19 X-ray image classification model based on an enhanced convolutional neural network and hill climbing algorithms Article Swipe

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Ashwini Kumar Pradhan , Debahuti Mishra , Kaberi Das , Mohammad S. Obaidat , Manoj Kumar ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1007/s11042-022-13826-8

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Computer Science

Convolutional Neural Network

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Particle Swarm Optimization

Deep Learning

Receiver Operating Characteristic

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Machine Learning

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Computer science Convolutional neural network Artificial intelligence Classifier (UML) Pattern recognition (psychology) Particle swarm optimization Deep learning Receiver operating characteristic Algorithm Machine learning

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Type: article
Language: en
Landing Page: https://doi.org/10.1007/s11042-022-13826-8
PDF: https://link.springer.com/content/pdf/10.1007/s11042-022-13826-8.pdf
OA Status: bronze
Cited By: 21
References: 45
Related Works: 10
OpenAlex ID: https://openalex.org/W4297313036

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OpenAlex ID: https://openalex.org/W4297313036

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DOI: https://doi.org/10.1007/s11042-022-13826-8

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Title: A COVID-19 X-ray image classification model based on an enhanced convolutional neural network and hill climbing algorithms

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-09-27

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Authors: Ashwini Kumar Pradhan, Debahuti Mishra, Kaberi Das, Mohammad S. Obaidat, Manoj Kumar

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Landing page: https://doi.org/10.1007/s11042-022-13826-8

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Concepts: Computer science, Convolutional neural network, Artificial intelligence, Classifier (UML), Pattern recognition (psychology), Particle swarm optimization, Deep learning, Receiver operating characteristic, Algorithm, Machine learning

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Cited by: 21

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Citations by year (recent): 2025: 6, 2024: 9, 2023: 5, 2022: 1

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referenced_works_count	45
abstract_inverted_index
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corresponding_author_ids	https://openalex.org/A5100763147
countries_distinct_count	2
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