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Refinado por: Base de dados/Biblioteca: ScienceDirect Journals remover nível superior: Revistas revisadas por pares remover
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Development of an automated photolysis rates prediction system based on machine learning
Development of an automated photolysis rates prediction system based on machine learning
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Development of an automated photolysis rates prediction system based on machine learning

Pan, Weijun ; Gong, Sunling ; Ke, Huabing ; Li, Xin ; Chen, Duohong ; Huang, Cheng ; Song, Danlin

Journal of environmental sciences (China), 2025-05, Vol.151, p.211-224 [Periódico revisado por pares]

Elsevier B.V

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2
Artificial intelligence in spinal deformity
Artificial intelligence in spinal deformity
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Artificial intelligence in spinal deformity

Suryavanshi, Joash ; Foley, David ; McCarthy, Michael H.

Journal of Orthopaedic Reports, 2025-03, Vol.4 (1), p.100358, Article 100358 [Periódico revisado por pares]

Elsevier B.V

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3
Machine learning-assisted fluorescence visualization for sequential quantitative detection of aluminum and fluoride ions
Machine learning-assisted fluorescence visualization for sequential quantitative detection of aluminum and fluoride ions
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Machine learning-assisted fluorescence visualization for sequential quantitative detection of aluminum and fluoride ions

Zhang, Qiang ; Li, Xin ; Yu, Long ; Wang, Lingxiao ; Wen, Zhiqing ; Su, Pengchen ; Sun, Zhenli ; Wang, Suhua

Journal of environmental sciences (China), 2025-03, Vol.149, p.68-78 [Periódico revisado por pares]

Elsevier B.V

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4
Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015–2020 in Shaanxi, China
Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015–2020 in Shaanxi, China
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Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015–2020 in Shaanxi, China

Cao, Hongye ; Han, Ling ; Liu, Ming ; Li, Liangzhi

Journal of environmental sciences (China), 2025-03, Vol.149, p.358-373 [Periódico revisado por pares]

Elsevier B.V

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5
Machine learning-assisted performance prediction from the synthesis conditions of nanofiltration membranes
Machine learning-assisted performance prediction from the synthesis conditions of nanofiltration membranes
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Machine learning-assisted performance prediction from the synthesis conditions of nanofiltration membranes

Sutariya, Bhaumik ; Sarkar, Pulak ; Indurkar, Pankaj D. ; Karan, Santanu

Separation and purification technology, 2025-02, Vol.354, p.128960, Article 128960 [Periódico revisado por pares]

Elsevier B.V

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6
Prediction of residual aluminum concentration and size in water plants of South-to-North Water Transfer Project through machine learning
Prediction of residual aluminum concentration and size in water plants of South-to-North Water Transfer Project through machine learning
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Prediction of residual aluminum concentration and size in water plants of South-to-North Water Transfer Project through machine learning

Jin, Zhiyuan ; Xu, Hui ; Lou, Jiangwei ; Dai, Jiangfeng ; Wang, Dongsheng

Separation and purification technology, 2025-02, Vol.354, p.128782, Article 128782 [Periódico revisado por pares]

Elsevier B.V

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7
Real-time quality prediction and local adjustment of friction with digital twin in sheet metal forming
Real-time quality prediction and local adjustment of friction with digital twin in sheet metal forming
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Real-time quality prediction and local adjustment of friction with digital twin in sheet metal forming

Link, Patrick ; Penter, Lars ; Rückert, Ulrike ; Klingel, Lars ; Verl, Alexander ; Ihlenfeldt, Steffen

Robotics and computer-integrated manufacturing, 2025-02, Vol.91, p.102848, Article 102848 [Periódico revisado por pares]

Elsevier Ltd

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8
Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms
Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms
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Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms

Farahani, Mojtaba A. ; McCormick, M.R. ; Harik, Ramy ; Wuest, Thorsten

Robotics and computer-integrated manufacturing, 2025-02, Vol.91, p.102839, Article 102839 [Periódico revisado por pares]

Elsevier Ltd

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9
Online motion accuracy compensation of industrial servomechanisms using machine learning approaches
Online motion accuracy compensation of industrial servomechanisms using machine learning approaches
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Online motion accuracy compensation of industrial servomechanisms using machine learning approaches

Bilancia, Pietro ; Locatelli, Alberto ; Tutarini, Alessio ; Mucciarini, Mirko ; Iori, Manuel ; Pellicciari, Marcello

Robotics and computer-integrated manufacturing, 2025-02, Vol.91, p.102838, Article 102838 [Periódico revisado por pares]

Elsevier Ltd

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10
Tourism forecasting by mixed-frequency machine learning
Tourism forecasting by mixed-frequency machine learning
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Tourism forecasting by mixed-frequency machine learning

Hu, Mingming ; Li, Mei ; Chen, Yuxiu ; Liu, Han

Tourism management (1982), 2025-02, Vol.106, p.105004, Article 105004 [Periódico revisado por pares]

Elsevier Ltd

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