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COVID-19 detection based on pre-trained deep networks and LSTM model using X-ray images enhanced contrast with artificial bee colony algorithm

基于预训练深度网络和LSTM模型的COVID-19检测方法(使用人工蜂群算法增强X光图像对比度)

Mehmet Bilal Er

Expert systems. 2022 Nov 3:e13185. DOI:10.1111/exsy.13185

Federated learning based Covid-19 detection

基于联合学习的新冠检测方法研究

Deepraj Chowdhury,Soham Banerjee,Madhushree Sannigrahi et al.

Expert systems. 2022 Nov 2:e13173. DOI:10.1111/exsy.13173

Models for MAGDM with dual hesitant q-rung orthopair fuzzy 2-tuple linguistic MSM operators and their application to COVID-19 pandemic

基于双犹豫q-正交直项语言MSM算子的COVID-19大流行多属性群决策模型研究

Sumera Naz,Muhammad Akram,Arsham Borumand Saeid et al.

Expert systems. 2022 Apr 16:e13005. DOI:10.1111/exsy.13005

Detection of COVID-19 and its pulmonary stage using Bayesian hyperparameter optimization and deep feature selection methods

基于贝叶斯超参数优化和深度特征选择方法的COVID-19及其肺部分期检测

Nedim Muzoğlu,Ahmet Mesrur Halefoğlu,Muhammed Onur Avci et al.

Expert systems. 2022 Sep 26:e13141. DOI:10.1111/exsy.13141

Artificial neural networks for prediction of COVID-19 in India by using backpropagation

印度利用反向传播预测COVID-19的人工神经网络方法

Balakrishnama Manohar,Raja Das

Expert systems. 2022 Aug 2:e13105. DOI:10.1111/exsy.13105

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