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Analysis and forecast of COVID-19 spreading in China, Italy and France
Analysis and forecast of COVID-19 spreading in China, Italy and France
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Analysis and forecast of COVID-19 spreading in China, Italy and France

Fanelli, Duccio ; Piazza, Francesco

Chaos, solitons and fractals, 2020-05, Vol.134, p.109761-109761, Article 109761 [Periódico revisado por pares]

England: Elsevier Ltd

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A SIR model assumption for the spread of COVID-19 in different communities
A SIR model assumption for the spread of COVID-19 in different communities
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A SIR model assumption for the spread of COVID-19 in different communities

Cooper, Ian ; Mondal, Argha ; Antonopoulos, Chris G.

Chaos, solitons and fractals, 2020-10, Vol.139, p.110057-110057, Article 110057 [Periódico revisado por pares]

Elsevier Ltd

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3
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet
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Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet

Panwar, Harsh ; Gupta, P.K. ; Siddiqui, Mohammad Khubeb ; Morales-Menendez, Ruben ; Singh, Vaishnavi

Chaos, solitons and fractals, 2020-09, Vol.138, p.109944-109944, Article 109944 [Periódico revisado por pares]

England: Elsevier Ltd

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4
The role of fractional calculus in modeling biological phenomena: A review
The role of fractional calculus in modeling biological phenomena: A review
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The role of fractional calculus in modeling biological phenomena: A review

Ionescu, C. ; Lopes, A. ; Copot, D. ; Machado, J.A.T. ; Bates, J.H.T.

Communications in nonlinear science & numerical simulation, 2017-10, Vol.51, p.141-159 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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5
Computing Qualitatively Correct Approximations of Balance Laws: Exponential-Fit, Well-Balanced and Asymptotic-Preserving
Computing Qualitatively Correct Approximations of Balance Laws: Exponential-Fit, Well-Balanced and Asymptotic-Preserving
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Computing Qualitatively Correct Approximations of Balance Laws: Exponential-Fit, Well-Balanced and Asymptotic-Preserving

Gosse, Laurent

Milano: Springer Milan 2013

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6
A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images
A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images
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A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images

Panwar, Harsh ; Gupta, P.K. ; Siddiqui, Mohammad Khubeb ; Morales-Menendez, Ruben ; Bhardwaj, Prakhar ; Singh, Vaishnavi

Chaos, solitons and fractals, 2020-11, Vol.140, p.110190-110190, Article 110190 [Periódico revisado por pares]

England: Elsevier Ltd

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7
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
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Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

Ribeiro, Matheus Henrique Dal Molin ; da Silva, Ramon Gomes ; Mariani, Viviana Cocco ; Coelho, Leandro dos Santos

Chaos, solitons and fractals, 2020-06, Vol.135, p.109853-109853, Article 109853 [Periódico revisado por pares]

Elsevier Ltd

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8
Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique
Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique
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Recognition of COVID-19 disease from X-ray images by hybrid model consisting of 2D curvelet transform, chaotic salp swarm algorithm and deep learning technique

Altan, Aytaç ; Karasu, Seçkin

Chaos, solitons and fractals, 2020-11, Vol.140, p.110071-110071, Article 110071 [Periódico revisado por pares]

England: Elsevier Ltd

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9
Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India
Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India
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Prediction and analysis of COVID-19 positive cases using deep learning models: A descriptive case study of India

Arora, Parul ; Kumar, Himanshu ; Panigrahi, Bijaya Ketan

Chaos, solitons and fractals, 2020-10, Vol.139, p.110017-110017, Article 110017 [Periódico revisado por pares]

Elsevier Ltd

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10
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
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Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks

Toraman, Suat ; Alakus, Talha Burak ; Turkoglu, Ibrahim

Chaos, solitons and fractals, 2020-11, Vol.140, p.110122-110122, Article 110122 [Periódico revisado por pares]

England: Elsevier Ltd

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