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Parameter estimation of the COVID-19 transmission model using an improved quantum-behaved particle swarm optimization algorithm

基于改进量子行为粒子群优化算法的COVID-19传播模型参数估计

Baoshan Ma,Jishuang Qi,Yiming Wu et al.

Digital signal processing. 2022 Jul:127:103577. DOI:10.1016/j.dsp.2022.103577

Unknown uncertainties in the COVID-19 pandemic: Multi-dimensional identification and mathematical modelling for the analysis and estimation of the casualties

新冠疫情的未知不确定性：多维度识别与数学建模分析估算伤亡人数

Onder Tutsoy,Kemal Balikci,Naime Filiz Ozdil

Digital signal processing. 2021 Jul:114:103058. DOI:10.1016/j.dsp.2021.103058

Stochastic filtering based transmissibility estimation of novel coronavirus

基于随机滤波的新型冠状病毒传播能力估计

Rahul Bansal,Amit Kumar,Amit Kumar Singh et al.

Digital signal processing. 2021 May:112:103001. DOI:10.1016/j.dsp.2021.103001

Novel generalized Fourier representations and phase transforms

新型广义傅里叶表示和相位变换

Pushpendra Singh

Digital signal processing. 2020 Nov:106:102830. DOI:10.1016/j.dsp.2020.102830

Automatic RNA virus classification using the Entropy-ANFIS method

基于熵-ANFIS方法的自动RNA病毒分类技术

Esin Dogantekin,Engin Avci,Oznur Erkus

Digital signal processing. 2013 Jul;23(4):1209-1215. DOI:10.1016/j.dsp.2013.01.011

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