首页> Journal of imaging> Innovative Bacterial Colony Detection: Leveraging Multi-Feature Selection with the Improved Salp Swarm Algorithm.

Innovative Bacterial Colony Detection: Leveraging Multi-Feature Selection with the Improved Salp Swarm Algorithm.

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第一作者： Ahmad,Ihsan

第一单位： Department of Informatics, Faculty of Engineering, Universitas Samudra, Langsa 24416, Aceh, Indonesia.

作者： Ahmad,Ihsan ^[1] ; Khairul,Muttaqin ^[1] ; Rahmatul,Fajri ^[2] ; Mursyidah,Mursyidah ^[3] ; Islam Md Rizwanul,Fattah ^[4]

作者单位： Department of Informatics, Faculty of Engineering, Universitas Samudra, Langsa 24416, Aceh, Indonesia. ^[1] Department of Chemistry, Faculty of Engineering, Universitas Samudra, Langsa 24416, Aceh, Indonesia. ^[2] Department of Multimedia Engineering Technology, Politeknik Negeri Lhokseumawe, Kota Lhokseumawe 24301, Aceh, Indonesia. ^[3] Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, Faculty of Engineering and IT, University of Technology Sydney, Ultimo, NSW 2007, Australia. ^[4]

关键词 bacterial colony classification accuracy improved salp swarm algorithm multi-feature selection

DOI 10.3390/jimaging9120263

PMID 38132681

发布时间 2023-12-24

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Journal of imaging

2023年9卷12期

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Innovative Bacterial Colony Detection: Leveraging Multi-Feature Selection with the Improved Salp Swarm Algorithm.

Journal of imaging

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Journal of imaging

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Innovative Bacterial Colony Detection: Leveraging Multi-Feature Selection with the Improved Salp Swarm Algorithm.

Journal of imaging

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Journal of imaging

相关期刊

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