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The impact of data imputation on air quality prediction problem.

• Authors : Hua V; Faculty of Mathematics and Computer Science, University of Science, Ho Chi Minh City, Vietnam.; Vietnam National University Ho Chi Minh City, Ho Chi Minh City, Vietnam.

Subjects: Air Pollution*/Air Pollution*/Air Pollution*/analysis; Environmental Monitoring/Environmental Monitoring/Environmental Monitoring/methods ; Air Pollutants/Air Pollutants/Air Pollutants/analysis

• Source: PloS one [PLoS One] 2024 Sep 12; Vol. 19 (9), pp. e0306303. Date of Electronic Publication: 2024 Sep 12 (Print Publication: 2024).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Implementing heuristic-based multiscale depth-wise separable adaptive temporal convolutional network for ambient air quality prediction using real time data.

• Authors : Sundaramoorthy, Raj Anand¹ (AUTHOR); Ananth, Antony Dennis¹ (AUTHOR); Seerangan, Koteeswaran² (AUTHOR)

• Source: Scientific Reports. 8/8/2024, Vol. 14 Issue 1, p1-26. 26p.

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Air-quality prediction based on the ARIMA-CNN-LSTM combination model optimized by dung beetle optimizer.

• Authors : Duan J; School of Marine Engineer Equipment, Zhejiang Ocean University, Zhoushan, China.; Gong Y

Subjects: Air Pollution* ; Coleoptera*; Animals

• Source: Scientific reports [Sci Rep] 2023 Jul 26; Vol. 13 (1), pp. 12127. Date of Electronic Publication: 2023 Jul 26.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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A hybrid deep learning framework for air quality prediction with spatial autocorrelation during the COVID-19 pandemic.

• Authors : Zhao Z; College of Mathematics and Physics, Wenzhou University, Wenzhou, 325035, People's Republic of China.; Wu J

Subjects: Air Pollutants*/Air Pollutants*/Air Pollutants*/analysis ; COVID-19*/COVID-19*/COVID-19*/epidemiology ; COVID-19*/COVID-19*/COVID-19*/prevention & control

• Source: Scientific reports [Sci Rep] 2023 Jan 18; Vol. 13 (1), pp. 1015. Date of Electronic Publication: 2023 Jan 18.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Air Quality Prediction Using the Fractional Gradient-Based Recurrent Neural Network.

• Authors : Arora S; Birla Institute of Technology and Science Pilani, Pilani, Rajasthan, India.; Sawaran Singh NS

Subjects: Air Pollutants*/Air Pollutants*/Air Pollutants*/analysis ; Air Pollution*/Air Pollution*/Air Pollution*/analysis; Cities

• Source: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Dec 09; Vol. 2022, pp. 9755422. Date of Electronic Publication: 2022 Dec 09 (Print Publication: Publisher: Hindawi Pub. Corp Country of Publication: United States NLM ID: 101279357 Publication Model: eCollection Cited Medium: Internet ISSN:

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A systematic survey of air quality prediction based on deep learning

• Authors : Zhen Zhang; Shiqing Zhang; Caimei Chen

Subjects: Air pollution; Air quality prediction; Deep learning

• Source: Alexandria Engineering Journal, Vol 93, Iss , Pp 128-141 (2024)

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Air quality prediction models based on meteorological factors and real-time data of industrial waste gas.

• Authors : Liu Y; Departments of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 610000, China. .; Wang P

Subjects: Air Pollutants*/Air Pollutants*/Air Pollutants*/analysis ; Air Pollution*/Air Pollution*/Air Pollution*/analysis; China

• Source: Scientific reports [Sci Rep] 2022 Jun 03; Vol. 12 (1), pp. 9253. Date of Electronic Publication: 2022 Jun 03.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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A Multi-Modal Deep-Learning Air Quality Prediction Method Based on Multi-Station Time-Series Data and Remote-Sensing Images: Case Study of Beijing and Tianjin.

• Authors : Xia, Hanzhong¹ (AUTHOR) ; Chen, Xiaoxia¹ (AUTHOR) ; Wang, Zhen¹ (AUTHOR)

• Source: Entropy. Jan2024, Vol. 26 Issue 1, p91. 22p.

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Air Quality Prediction Using the Support Vector Machine Algorithm

• Authors : Liza Widyarini; Hindriyanto Dwi Purnomo

Subjects: air quality; prediction; svm algorithm

• Source: Journal of Information Systems and Informatics, Vol 6, Iss 2, Pp 652-661 (2024)

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Effective Air Quality Prediction Using Reinforced Swarm Optimization and Bi-Directional Gated Recurrent Unit.

• Authors : Gurumoorthy, Sasikumar¹ (AUTHOR) ; Kokku, Aruna Kumari² (AUTHOR) ; Falkowski-Gilski, Przemysław³ (AUTHOR)

Subjects: *AIR quality; *OPTIMIZATION algorithms; *PARTICULATE matterBEIJING (China); COCHIN (India); HYDERABAD (India)

• Source: Sustainability (2071-1050). Jul2023, Vol. 15 Issue 14, p11454. 19p.

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