Spatial-temporal analysis of atmospheric environment in urban areas using remote sensing and neural networks-Reference-Cited by-同舟云学术

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Spatial-temporal analysis of atmospheric environment in urban areas using remote sensing and neural networks

Published:2024-04 Issue: Volume:42 Page:100987
ISSN:2210-5379
Container-title:Sustainable Computing: Informatics and Systems
language:en
Short-container-title:Sustainable Computing: Informatics and Systems

Author:

Mokarram Marzieh,Taripanah Farideh,Pham Tam Minh

Funder

Shiraz University

Publisher

Elsevier BV

Reference37 articles.

1. Modeling the fluctuations of groundwater level by employing ensemble deep learning techniques;Afan;Eng. Appl. Comput. Fluid Mech.,2021

2. Urban heat island mitigation strategies: a state-of-the-art review on Kuala Lumpur, Singapore and Hong Kong;Aflaki;Cities,2017

3. Study of the Urban Heat Island (UHI) using remote sensing data/techniques: a Systematic Review;Almeida;Environ,2021

4. Deep learning-based appearance features extraction for automated carp species identification;Banan;Aquac. Eng.,2020

5. Determining the impact of urban components on land surface temperature of Istanbul by using remote sensing indices;Bektaş Balçik;Environ. Monit. Assess.,2013

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review : Air Pollution Prediction using Machine Learning Techniques;International Journal of Scientific Research in Computer Science, Engineering and Information Technology;2024-06-24

2. Deep Learning-Based Approach for Optimizing Urban Commercial Space Expansion Using Artificial Neural Networks;Applied Sciences;2024-04-30

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