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首页> Computer methods in biomechanics and biomedical engineering> Cardiotocography data analysis for foetal health classification using Spatial Bayesian Neural Network Optimized with Dwarf Mongoose Optimizer.

Cardiotocography data analysis for foetal health classification using Spatial Bayesian Neural Network Optimized with Dwarf Mongoose Optimizer.

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第一作者： P,Solainayagi
第一单位： Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamil Nadu, India.
作者： P,Solainayagi [1] ; G,Sivagaminathan [2] ; Sabenabanu,Abdulkadhar [3] ; A,Gnana Soundari [1] ; K,Krishnakumar [4]
作者单位： Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamil Nadu, India. [1] Department of Computer Science, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. [2] Department of Computer Science Applications, Koneru Lakshmaiah Education Foundation, Vadeeswaram, Vijayawada, Andra Pradesh, India. [3] Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India. [4]
关键词 CardiotocogramDwarf mongoose optimizerHumboldt Squid optimization algorithmSpatial Bayesian Neural Networkfoetal healthpregnancy
DOI 10.1080/10255842.2025.2478293
PMID 40211457
发布时间 2025-04-23
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Computer methods in biomechanics and biomedical engineering

Computer methods in biomechanics and biomedical engineering

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