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1
Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions
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Machine learning prediction of biochar yield and carbon contents in biochar based on biomass characteristics and pyrolysis conditions

Zhu, Xinzhe ; Li, Yinan ; Wang, Xiaonan

Bioresource technology, 2019-09, Vol.288, p.121527-121527, Article 121527 [Periódico revisado por pares]

England: Elsevier Ltd

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Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
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Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees

Ahmad, Muhammad Waseem ; Reynolds, Jonathan ; Rezgui, Yacine

Journal of cleaner production, 2018-12, Vol.203, p.810-821 [Periódico revisado por pares]

Elsevier Ltd

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3
Predicting physical stability of solid dispersions by machine learning techniques
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Predicting physical stability of solid dispersions by machine learning techniques

Han, Run ; Xiong, Hui ; Ye, Zhuyifan ; Yang, Yilong ; Huang, Tianhe ; Jing, Qiufang ; Lu, Jiahong ; Pan, Hao ; Ren, Fuzheng ; Ouyang, Defang

Journal of controlled release, 2019-10, Vol.311-312, p.16-25 [Periódico revisado por pares]

Netherlands: Elsevier B.V

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4
Tomato volume and mass estimation using computer vision and machine learning algorithms: Cherry tomato model
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Tomato volume and mass estimation using computer vision and machine learning algorithms: Cherry tomato model

Nyalala, Innocent ; Okinda, Cedric ; Nyalala, Luke ; Makange, Nelson ; Chao, Qi ; Chao, Liu ; Yousaf, Khurram ; Chen, Kunjie

Journal of food engineering, 2019-12, Vol.263, p.288-298 [Periódico revisado por pares]

Elsevier Ltd

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5
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement
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Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement

Park, Ji Eun ; Kim, Donghyun ; Kim, Ho Sung ; Park, Seo Young ; Kim, Jung Youn ; Cho, Se Jin ; Shin, Jae Ho ; Kim, Jeong Hoon

European radiology, 2020-01, Vol.30 (1), p.523-536 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Prediction of hourly solar radiation in Abu Musa Island using machine learning algorithms
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Prediction of hourly solar radiation in Abu Musa Island using machine learning algorithms

Khosravi, A. ; Koury, R.N.N. ; Machado, L. ; Pabon, J.J.G.

Journal of cleaner production, 2018-03, Vol.176, p.63-75 [Periódico revisado por pares]

Elsevier Ltd

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7
Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
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Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia

Ghimire, Sujan ; Deo, Ravinesh C. ; Downs, Nathan J. ; Raj, Nawin

Journal of cleaner production, 2019-04, Vol.216, p.288-310 [Periódico revisado por pares]

Elsevier Ltd

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8
Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction
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Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction

Xu, Youjun ; Pei, Jianfeng ; Lai, Luhua

Journal of chemical information and modeling, 2017-11, Vol.57 (11), p.2672-2685 [Periódico revisado por pares]

United States: American Chemical Society

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9
Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture
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Application of artificial intelligence models and optimization algorithms in plant cell and tissue culture

Hesami, Mohsen ; Jones, Andrew Maxwell Phineas

Applied microbiology and biotechnology, 2020-11, Vol.104 (22), p.9449-9485 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Forecasting municipal solid waste generation using artificial intelligence modelling approaches
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Forecasting municipal solid waste generation using artificial intelligence modelling approaches

Abbasi, Maryam ; El Hanandeh, Ali

Waste management (Elmsford), 2016-10, Vol.56, p.13-22 [Periódico revisado por pares]

United States: Elsevier Ltd

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