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Refinado por: Base de dados/Biblioteca: DOAJ Directory of Open Access Journals remover assunto: Vorhersagemodell remover Mathematical Models remover Maschinelles Lernen remover
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TW-SIR: time-window based SIR for COVID-19 forecasts
TW-SIR: time-window based SIR for COVID-19 forecasts
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TW-SIR: time-window based SIR for COVID-19 forecasts

Liao, Zhifang ; Lan, Peng ; Liao, Zhining ; Zhang, Yan ; Liu, Shengzong

Scientific reports, 2020-12, Vol.10 (1), p.22454-22454, Article 22454 [Periódico revisado por pares]

England: Nature Publishing Group

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2
A holistic review on energy forecasting using big data and deep learning models
A holistic review on energy forecasting using big data and deep learning models
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A holistic review on energy forecasting using big data and deep learning models

Devaraj, Jayanthi ; Madurai Elavarasan, Rajvikram ; Shafiullah, GM ; Jamal, Taskin ; Khan, Irfan

International journal of energy research, 2021-07, Vol.45 (9), p.13489-13530 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Inc

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3
Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms
Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms
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Predicting Growth and Carcass Traits in Swine Using Microbiome Data and Machine Learning Algorithms

Maltecca, Christian ; Lu, Duc ; Schillebeeckx, Constantino ; McNulty, Nathan P ; Schwab, Clint ; Shull, Caleb ; Tiezzi, Francesco

Scientific reports, 2019-04, Vol.9 (1), p.6574-6574, Article 6574 [Periódico revisado por pares]

England: Nature Publishing Group

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4
A model predicting the PSP toxic dinoflagellate Alexandrium minutum occurrence in the coastal waters of the NW Adriatic Sea
A model predicting the PSP toxic dinoflagellate Alexandrium minutum occurrence in the coastal waters of the NW Adriatic Sea
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A model predicting the PSP toxic dinoflagellate Alexandrium minutum occurrence in the coastal waters of the NW Adriatic Sea

Valbi, Eleonora ; Ricci, Fabio ; Capellacci, Samuela ; Casabianca, Silvia ; Scardi, Michele ; Penna, Antonella

Scientific reports, 2019-03, Vol.9 (1), p.4166, Article 4166 [Periódico revisado por pares]

England: Nature Publishing Group

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5
Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach
Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach
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Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach

Harari, Yaar ; O'Brien, Megan K ; Lieber, Richard L ; Jayaraman, Arun

Journal of neuroengineering and rehabilitation, 2020-06, Vol.17 (1), p.71-71, Article 71 [Periódico revisado por pares]

England: BioMed Central Ltd

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6
Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia
Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia
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Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia

Feng, Puyu ; Wang, Bin ; Liu, De Li ; Ji, Fei ; Niu, Xiaoli ; Ruan, Hongyan ; Shi, Lijie ; Yu, Qiang

Environmental research letters, 2020-08, Vol.15 (8), p.84051 [Periódico revisado por pares]

Bristol: IOP Publishing

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7
Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics
Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics
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Machine learning-based mathematical modelling for prediction of social media consumer behavior using big data analytics

Chaudhary, Kiran ; Alam, Mansaf ; Al-Rakhami, Mabrook S. ; Gumaei, Abdu

Journal of big data, 2021-05, Vol.8 (1), p.1-20, Article 73 [Periódico revisado por pares]

Cham: Springer International Publishing

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8
An LSTM-based neural network method of particulate pollution forecast in China
An LSTM-based neural network method of particulate pollution forecast in China
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An LSTM-based neural network method of particulate pollution forecast in China

Chen, Yarong ; Cui, Shuhang ; Chen, Panyi ; Yuan, Qiangqiang ; Kang, Ping ; Zhu, Liye

Environmental research letters, 2021-04, Vol.16 (4), p.44006 [Periódico revisado por pares]

Bristol: IOP Publishing

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9
Survey on Forecasting the vulnerability of Covid 19 in Tamil Nadu
Survey on Forecasting the vulnerability of Covid 19 in Tamil Nadu
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Survey on Forecasting the vulnerability of Covid 19 in Tamil Nadu

Ananthi, P. ; Jabeen Begum, S. ; Latha Jothi, V. ; Kayalvili, S. ; Gokulraj, S.

Journal of physics. Conference series, 2021-02, Vol.1767 (1), p.12006 [Periódico revisado por pares]

Bristol: IOP Publishing

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10
Survey on clinical prediction models for diabetes prediction
Survey on clinical prediction models for diabetes prediction
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Survey on clinical prediction models for diabetes prediction

Jayanthi, N. ; Babu, B. Vijaya ; Rao, N. Sambasiva

Journal of big data, 2017-08, Vol.4 (1), p.1-15, Article 26 [Periódico revisado por pares]

Cham: Springer International Publishing

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