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Refinado por: assunto: Maschinelles Lernen remover Learning Algorithms remover
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Long-Lead Forecasting of Runoff Season Flows in the Colorado River Basin Using a Random Forest Approach
Long-Lead Forecasting of Runoff Season Flows in the Colorado River Basin Using a Random Forest Approach
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Long-Lead Forecasting of Runoff Season Flows in the Colorado River Basin Using a Random Forest Approach

Woodson, David ; Rajagopalan, Balaji ; Zagona, Edith

Journal of water resources planning and management, 2024-04, Vol.150 (4) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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2
Unit Operation and Process Modeling with Physics-Informed Machine Learning
Unit Operation and Process Modeling with Physics-Informed Machine Learning
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Unit Operation and Process Modeling with Physics-Informed Machine Learning

Li, Haochen ; Spelman, David ; Sansalone, John

Journal of environmental engineering (New York, N.Y.), 2024-04, Vol.150 (4) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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3
Predicting health effects of food compounds via ensemble machine learning
Predicting health effects of food compounds via ensemble machine learning
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Predicting health effects of food compounds via ensemble machine learning

Mei, Suyu

International journal of food science & technology, 2024-04, Vol.59 (4), p.2547-2557 [Periódico revisado por pares]

Oxford: Wiley Subscription Services, Inc

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4
Multivariate Machine Learning Models of Nanoscale Porosity from Ultrafast NMR Relaxometry
Multivariate Machine Learning Models of Nanoscale Porosity from Ultrafast NMR Relaxometry
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Multivariate Machine Learning Models of Nanoscale Porosity from Ultrafast NMR Relaxometry

Fricke, Sophia N. ; Salgado, Mia ; Menezes, Tamires ; Costa Santos, Kátilla M. ; Gallagher, Neal B. ; Song, Ah‐Young ; Wang, Jieyu ; Engler, Kaitlyn ; Wang, Yang ; Mao, Haiyan ; Reimer, Jeffrey A.

Angewandte Chemie International Edition, 2024-03, Vol.63 (13), p.e202316664-n/a [Periódico revisado por pares]

Germany: Wiley Subscription Services, Inc

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5
Climate-Proofing Critical Energy Infrastructure: Smart Grids, Artificial Intelligence, and Machine Learning for Power System Resilience against Extreme Weather Events
Climate-Proofing Critical Energy Infrastructure: Smart Grids, Artificial Intelligence, and Machine Learning for Power System Resilience against Extreme Weather Events
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Climate-Proofing Critical Energy Infrastructure: Smart Grids, Artificial Intelligence, and Machine Learning for Power System Resilience against Extreme Weather Events

Nyangon, Joseph

Journal of infrastructure systems, 2024-03, Vol.30 (1) [Periódico revisado por pares]

New York: American Society of Civil Engineers

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6
Classification of oolong tea varieties based on computer vision and convolutional neural networks
Classification of oolong tea varieties based on computer vision and convolutional neural networks
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Classification of oolong tea varieties based on computer vision and convolutional neural networks

Zhu, Yiwen ; Chen, Siyuan ; Yin, Hanzhe ; Han, Xihao ; Xu, Menghan ; Wang, Wenli ; Zhang, Yin ; Feng, Xiaoxiao ; Liu, Yuan

Journal of the science of food and agriculture, 2024-02, Vol.104 (3), p.1630-1637 [Periódico revisado por pares]

Chichester, UK: John Wiley & Sons, Ltd

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7
Identification of potential crucial genes shared in psoriasis and ulcerative colitis by machine learning and integrated bioinformatics
Identification of potential crucial genes shared in psoriasis and ulcerative colitis by machine learning and integrated bioinformatics
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Identification of potential crucial genes shared in psoriasis and ulcerative colitis by machine learning and integrated bioinformatics

Zhang, Jing ; Feng, Shuo ; Chen, Minfei ; Zhang, Wen ; Zhang, Xiu ; Wang, Shengbang ; Gan, Xinyi ; Zheng, Yan ; Wang, Guorong

Skin research and technology, 2024-02, Vol.30 (2), p.e13574-n/a [Periódico revisado por pares]

England: John Wiley & Sons, Inc

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8
Classification of water subscribers by machine learning algorithms
Classification of water subscribers by machine learning algorithms
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Classification of water subscribers by machine learning algorithms

Dahesh, Arezoo ; Tavakkoli‐Moghaddam, Reza ; Tajally, AmirReza ; Erfani‐Jazi, Aseman ; Babazadeh‐Behestani, Milad

Water and environment journal : WEJ, 2024-02, Vol.38 (1), p.45-58 [Periódico revisado por pares]

London: Wiley Subscription Services, Inc

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9
Spatial neglect in the digital age: Influence of presentation format on patients’ test behavior
Spatial neglect in the digital age: Influence of presentation format on patients’ test behavior
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Spatial neglect in the digital age: Influence of presentation format on patients’ test behavior

Rosenzopf, Hannah ; Sperber, Christoph ; Wortha, Franz ; Wiesen, Daniel ; Muth, Annika ; Klein, Elise ; Möller, Korbinian ; Karnath, Hans-Otto

Journal of the International Neuropsychological Society, 2023-08, Vol.29 (7), p.686-695 [Periódico revisado por pares]

New York, USA: Cambridge University Press

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10
Practical recommendations for machine learning in underground rock engineering – On algorithm development, data balancing, and input variable selection
Practical recommendations for machine learning in underground rock engineering – On algorithm development, data balancing, and input variable selection
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Practical recommendations for machine learning in underground rock engineering – On algorithm development, data balancing, and input variable selection

Morgenroth, Josephine ; Unterlaß, Paul J. ; Sapronova, Alla ; Khan, Usman T. ; Perras, Matthew A. ; Erharter, Georg H. ; Marcher, Thomas

Geomechanik und Tunnelbau, 2022-10, Vol.15 (5), p.650-657 [Periódico revisado por pares]

Berlin: Ernst & Sohn GmbH

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