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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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Interpreting hourly mass concentrations of PM2.5 chemical components with an optimal deep-learning model
Interpreting hourly mass concentrations of PM2.5 chemical components with an optimal deep-learning model
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Interpreting hourly mass concentrations of PM2.5 chemical components with an optimal deep-learning model

Li, Hongyi ; Yang, Ting ; Du, Yiming ; Tan, Yining ; Wang, Zifa

Journal of environmental sciences (China), 2025-05, Vol.151, p.125-139 [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
A semi-supervised ensemble clustering algorithm for discovering relationships between different diseases by extracting cell-to-cell biological communications
A semi-supervised ensemble clustering algorithm for discovering relationships between different diseases by extracting cell-to-cell biological communications
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A semi-supervised ensemble clustering algorithm for discovering relationships between different diseases by extracting cell-to-cell biological communications

Shi, Xiuchao ; Yue, Chunxiao ; Quan, Meiping ; Li, Yalin ; Nashwan Sam, Hiba

Journal of cancer research and clinical oncology, 2025-01, Vol.150 (1), p.3-3, Article 3 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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6
Ultrasound-based deep learning radiomics nomogram for risk stratification of testicular masses: a two-center study
Ultrasound-based deep learning radiomics nomogram for risk stratification of testicular masses: a two-center study
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Ultrasound-based deep learning radiomics nomogram for risk stratification of testicular masses: a two-center study

Fang, Fuxiang ; Sun, Yan ; Huang, Hualin ; Huang, Yueting ; Luo, Xing ; Yao, Wei ; Wei, Liyan ; Xie, Guiwu ; Wu, Yongxian ; Lu, Zheng ; Zhao, Jiawen ; Li, Chengyang

Journal of cancer research and clinical oncology, 2025-01, Vol.150 (1), p.18-18, Article 18 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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7
Predicting the efficiency of arsenic immobilization in soils by biochar using machine learning
Predicting the efficiency of arsenic immobilization in soils by biochar using machine learning
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Predicting the efficiency of arsenic immobilization in soils by biochar using machine learning

Cao, Jin-Man ; Liu, Yu-Qian ; Liu, Yan-Qing ; Xue, Shu-Dan ; Xiong, Hai-Hong ; Xu, Chong-Lin ; Xu, Qi ; Duan, Gui-Lan

Journal of environmental sciences (China), 2025-01, Vol.147, p.259-267 [Periódico revisado por pares]

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8
Rapid detection of colored and colorless macro- and micro-plastics in complex environment via near-infrared spectroscopy and machine learning
Rapid detection of colored and colorless macro- and micro-plastics in complex environment via near-infrared spectroscopy and machine learning
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Rapid detection of colored and colorless macro- and micro-plastics in complex environment via near-infrared spectroscopy and machine learning

Zou, Hui-Huang ; He, Pin-Jing ; Peng, Wei ; Lan, Dong-Ying ; Xian, Hao-Yang ; Lü, Fan ; Zhang, Hua

Journal of environmental sciences (China), 2025-01, Vol.147, p.512-522 [Periódico revisado por pares]

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9
Efficient Indian Sign Language Recognition and Classification Using Enhanced Machine Learning Approach
Efficient Indian Sign Language Recognition and Classification Using Enhanced Machine Learning Approach
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Efficient Indian Sign Language Recognition and Classification Using Enhanced Machine Learning Approach

Kamalakannan, T. ; Soji, Edwin Shalom

International journal of critical infrastructures, 2025, Vol.21 (1), p.1 [Periódico revisado por pares]

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10
Face Forgery Detection with Cross-Level Attention
Face Forgery Detection with Cross-Level Attention
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Face Forgery Detection with Cross-Level Attention

Yuan, Chengsheng ; Yu, Peipeng ; Fei, Jianwei ; Liu, Yaju ; Liang, Haopeng

International journal of autonomous and adaptive communications systems, 2025, Vol.19 (1) [Periódico revisado por pares]

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Deste Autor:

  1. Isotani, S
  2. Carvalho, A
  3. Silva, A
  4. Marcacini, R
  5. Barbosa, E

Neste Assunto:

  1. Science & Technology
  2. Machine Learning
  3. Learning
  4. Social Sciences
  5. Technology

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

Buscando em bases de dados remotas. Favor aguardar.