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Refinado por: Base de dados/Biblioteca: Engineered Materials Abstracts remover Base de dados/Biblioteca: ScienceDirect Journals remover nível superior: Revistas revisadas por pares remover
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Machine learning as a tool to design glasses with controlled dissolution for healthcare applications
Machine learning as a tool to design glasses with controlled dissolution for healthcare applications
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Machine learning as a tool to design glasses with controlled dissolution for healthcare applications

Han, Taihao ; Stone-Weiss, Nicholas ; Huang, Jie ; Goel, Ashutosh ; Kumar, Aditya

Acta biomaterialia, 2020-04, Vol.107, p.286-298 [Periódico revisado por pares]

England: Elsevier Ltd

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Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm
Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm
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Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm

Lee, Jae-Hong ; Kim, Do-Hyung ; Jeong, Seong-Nyum ; Choi, Seong-Ho

Journal of dentistry, 2018-10, Vol.77, p.106-111 [Periódico revisado por pares]

England: Elsevier Ltd

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3
Prediction of surface chloride concentration of marine concrete using ensemble machine learning
Prediction of surface chloride concentration of marine concrete using ensemble machine learning
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Prediction of surface chloride concentration of marine concrete using ensemble machine learning

Cai, Rong ; Han, Taihao ; Liao, Wenyu ; Huang, Jie ; Li, Dawang ; Kumar, Aditya ; Ma, Hongyan

Cement and concrete research, 2020-10, Vol.136, p.106164, Article 106164 [Periódico revisado por pares]

Elmsford: Elsevier Ltd

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4
A machine-learning fatigue life prediction approach of additively manufactured metals
A machine-learning fatigue life prediction approach of additively manufactured metals
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A machine-learning fatigue life prediction approach of additively manufactured metals

Bao, Hongyixi ; Wu, Shengchuan ; Wu, Zhengkai ; Kang, Guozheng ; Peng, Xin ; Withers, Philip J.

Engineering fracture mechanics, 2021-02, Vol.242, p.107508, Article 107508 [Periódico revisado por pares]

New York: Elsevier Ltd

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5
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions
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Crop nitrogen monitoring: Recent progress and principal developments in the context of imaging spectroscopy missions

Berger, Katja ; Verrelst, Jochem ; Féret, Jean-Baptiste ; Wang, Zhihui ; Wocher, Matthias ; Strathmann, Markus ; Danner, Martin ; Mauser, Wolfram ; Hank, Tobias

Remote sensing of environment, 2020-06, Vol.242, p.111758-111758, Article 111758 [Periódico revisado por pares]

New York: Elsevier Inc

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6
Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems
Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems
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Machine-learning interpretability techniques for seismic performance assessment of infrastructure systems

Mangalathu, Sujith ; Karthikeyan, Karthika ; Feng, De-Cheng ; Jeon, Jong-Su

Engineering structures, 2022-01, Vol.250, p.112883, Article 112883 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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7
Single resistive sensor for selective detection of multiple VOCs employing SnO2 hollowspheres and machine learning algorithm: A proof of concept
Single resistive sensor for selective detection of multiple VOCs employing SnO2 hollowspheres and machine learning algorithm: A proof of concept
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Single resistive sensor for selective detection of multiple VOCs employing SnO2 hollowspheres and machine learning algorithm: A proof of concept

Acharyya, Snehanjan ; Jana, Biswabandhu ; Nag, Sudip ; Saha, Goutam ; Guha, Prasanta Kumar

Sensors and actuators. B, Chemical, 2020-10, Vol.321, p.128484, Article 128484 [Periódico revisado por pares]

Lausanne: Elsevier B.V

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8
Developing data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design
Developing data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design
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Developing data-driven surrogate models for holistic performance-based assessment of mid-rise RC frame buildings at early design

Zaker Esteghamati, Mohsen ; Flint, Madeleine M.

Engineering structures, 2021-10, Vol.245, p.112971, Article 112971 [Periódico revisado por pares]

Kidlington: Elsevier Ltd

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9
Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations
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Estimating crop primary productivity with Sentinel-2 and Landsat 8 using machine learning methods trained with radiative transfer simulations

Wolanin, Aleksandra ; Camps-Valls, Gustau ; Gómez-Chova, Luis ; Mateo-García, Gonzalo ; van der Tol, Christiaan ; Zhang, Yongguang ; Guanter, Luis

Remote sensing of environment, 2019-05, Vol.225, p.441-457 [Periódico revisado por pares]

New York: Elsevier Inc

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10
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning
Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning
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Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning

Babaeian, Ebrahim ; Paheding, Sidike ; Siddique, Nahian ; Devabhaktuni, Vijay K. ; Tuller, Markus

Remote sensing of environment, 2021-07, Vol.260, p.112434, Article 112434 [Periódico revisado por pares]

New York: Elsevier Inc

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