The Application of Deep Learning in Airport Visibility Forecast

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Atmospheric and Climate Sciences

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"The Application of Deep Learning in Airport Visibility Forecast"
written by Lei Zhu, Guodong Zhu, Lei Han, Nan Wang,
published by Atmospheric and Climate Sciences, Vol.7 No.3, 2017

has been cited by the following article(s):

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[9]	Predicting Airport Visibility using Seq2Seq Models
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[11]	Aviation visibility forecasting by integrating Convolutional Neural Network and long short-term memory network
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[13]	Forecast analysis of visibility for airport operations with deep learning techniques
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[14]	Application of deep learning to multivariate aviation weather forecasting by long short-term memory
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[15]	Deep learning ensembles for accurate fog-related low-visibility events forecasting
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[16]	Efficient prediction of fog-related low-visibility events with Machine Learning and evolutionary algorithms
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[17]	Extreme low-visibility events prediction based on inductive and evolutionary decision rules: an explicability-based approach
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[18]	Analysis, characterization, prediction and attribution of extreme atmospheric events with machine learning: a review
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[19]	Deep learning models for visibility forecasting using climatological data
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[20]	Meteorological characteristics of fog events in Korean smart cities and machine learning based visibility estimation
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[21]	Forecast of hourly airport visibility based on artificial intelligence methods
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[22]	Atmospheric visibility prediction by using the DBN deep learning model and principal component analysis
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[23]	DMRVisNet: Deep Multihead Regression Network for Pixel-Wise Visibility Estimation Under Foggy Weather
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[24]	Temporal and Spatial Characteristics of Meteorological Elements in the Vertical Direction at Airports and Hourly Airport Visibility Prediction by Artificial Intelligence …
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[25]	Machine Learning-Based Fog Nowcasting for Aviation with the Aid of Camera Observations
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[26]	Analog Ensemble Forecasting System for Low-Visibility Conditions over the Main Airports of Morocco
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[27]	Visibility detection and prediction of foggy highway based on lane line detection and Winters additive model
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[33]	Experimental Evaluation of PSO Based Transfer Learning Method for Meteorological Visibility Estimation
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[34]	Research on Airport Target Recognition under Low-Visibility Condition Based on Transfer Learning
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[35]	Research on Forecast of Airport Visibility Based on Multivariate Statistics
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[36]	Fog Prediction Using Deep Learning Models
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[37]	Research on Airport Target Recognition under Low‐Visibility Condition Based on Transfer Learning
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[38]	Multimodal Visibility Deep Learning Model Based on Visible-Infrared Image Pair
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[39]	Multi-step LSTM Prediction Model for Visibility Prediction
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[41]	Forecasting Atmospheric Visibility Using Auto Regressive Recurrent Neural Network
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[42]	Weather Variability Control in Three Colombian Airports
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[45]	Multimodal Deep Fusion Network for Visibility Assessment with a Small Training Dataset
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[46]	Research on the long-term and short-term forecasts of navigable river's water-level fluctuation based on the adaptive multilayer perceptron
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[47]	Visibility Forecast for Airport Operations by LSTM Neural Network.
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[48]	Weather Visibility Prediction Based on Multimodal Fusion
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[49]	VisNet: Deep Convolutional Neural Networks for Forecasting Atmospheric Visibility
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[50]	Fog Image Classification and Visibility Detection Using CNN
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[51]	Visibility forecast for airport operations by LSTM neural networks
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[52]	Deep Learning Models for Visibility Forecasting
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[53]	ПРИМЕНЕНИЕ ГЛУБОКИХ НЕЙРОННЫХ СЕТЕЙ ДЛЯ КРАТКОСРОЧНОГО ПРОГНОЗА ДАЛЬНОСТИ ВИДИМОСТИ
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[55]	利用集合深度学习方法融合多源数据开发全国能见度网格数据
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[58]	Machine Learning: Rain and Visible Moisture Prediction for Airport Safety

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[5]	Analysis, characterization, prediction, and attribution of extreme atmospheric events with machine learning and deep learning techniques: a review Theoretical and Applied Climatology, 2024 DOI:10.1007/s00704-023-04571-5

[6]	Machine learning analysis and nowcasting of marine fog visibility using FATIMA Grand Banks campaign measurements Frontiers in Earth Science, 2024 DOI:10.3389/feart.2023.1321422

[7]	Short-Term Fog Forecasting using Meteorological Observations at Airports in North India Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024 DOI:10.1145/3632410.3632449

[8]	Short-Term Fog Forecasting using Meteorological Observations at Airports in North India Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024 DOI:10.1145/3632410.3632449

[9]	Atmospheric Visibility and Cloud Ceiling Predictions With Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji’s Aviation Industry IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3401091

[10]	Utilizing Advanced Regression Techniques to Forecast Visibility at Subang and Langkawi International Airport 2024 New Trends in Civil Aviation (NTCA), 2024 DOI:10.23919/NTCA60572.2024.10517824

[11]	Atmospheric visibility estimation: a review of deep learning approach Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-16855-z

[12]	Atmospheric visibility estimation: a review of deep learning approach Multimedia Tools and Applications, 2023 DOI:10.1007/s11042-023-16855-z

[13]	Predicting Airport Visibility using Seq2Seq Models 2023 11th International Conference on Information Systems and Computing Technology (ISCTech), 2023 DOI:10.1109/ISCTech60480.2023.00071

[14]	SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks 2023 International Joint Conference on Neural Networks (IJCNN), 2023 DOI:10.1109/IJCNN54540.2023.10191095

[15]	Forecast Analysis of Visibility for Airport Operations with Deep Learning Techniques 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023 DOI:10.1109/CCWC57344.2023.10099100

[16]	Application of deep learning to multivariate aviation weather forecasting by long short-term memory Journal of Intelligent & Fuzzy Systems, 2023 DOI:10.3233/JIFS-223183

[17]	Deep learning models for visibility forecasting using climatological data International Journal of Forecasting, 2023 DOI:10.1016/j.ijforecast.2022.03.009

[18]	Forecast Analysis of Visibility for Airport Operations with Deep Learning Techniques 2023 IEEE 13th Annual Computing and Communication Workshop and Conference (CCWC), 2023 DOI:10.1109/CCWC57344.2023.10099100

[19]	Deep learning ensembles for accurate fog-related low-visibility events forecasting Neurocomputing, 2023 DOI:10.1016/j.neucom.2023.126435

[20]	SAR-UNet: Small Attention Residual UNet for Explainable Nowcasting Tasks 2023 International Joint Conference on Neural Networks (IJCNN), 2023 DOI:10.1109/IJCNN54540.2023.10191095

[21]	Deep learning ensembles for accurate fog-related low-visibility events forecasting Neurocomputing, 2023 DOI:10.1016/j.neucom.2023.126435

[22]	Temporal and Spatial Characteristics of Meteorological Elements in the Vertical Direction at Airports and Hourly Airport Visibility Prediction by Artificial Intelligence Methods Sustainability, 2022 DOI:10.3390/su141912213

[23]	Forecast of Hourly Airport Visibility Based on Artificial Intelligence Methods Atmosphere, 2022 DOI:10.3390/atmos13010075

[24]	Meteorological characteristics of fog events in Korean smart cities and machine learning based visibility estimation Atmospheric Research, 2022 DOI:10.1016/j.atmosres.2022.106239

[25]	Deep learning models for visibility forecasting using climatological data International Journal of Forecasting, 2022 DOI:10.1016/j.ijforecast.2022.03.009

[26]	Atmospheric visibility prediction by using the DBN deep learning model and principal component analysis Applied Optics, 2022 DOI:10.1364/AO.449148

[27]	Temporal and Spatial Characteristics of Meteorological Elements in the Vertical Direction at Airports and Hourly Airport Visibility Prediction by Artificial Intelligence Methods Sustainability, 2022 DOI:10.3390/su141912213

[28]	Machine Learning-Based Fog Nowcasting for Aviation with the Aid of Camera Observations Atmosphere, 2022 DOI:10.3390/atmos13101684

[29]	Analog Ensemble Forecasting System for Low-Visibility Conditions over the Main Airports of Morocco Atmosphere, 2022 DOI:10.3390/atmos13101704

[30]	DMRVisNet: Deep Multihead Regression Network for Pixel-Wise Visibility Estimation Under Foggy Weather IEEE Transactions on Intelligent Transportation Systems, 2022 DOI:10.1109/TITS.2022.3180229

[31]	Application of deep learning to multivariate aviation weather forecasting by long short-term memory Journal of Intelligent & Fuzzy Systems, 2022 DOI:10.3233/JIFS-223183

[32]	Meteorological characteristics of fog events in Korean smart cities and machine learning based visibility estimation Atmospheric Research, 2022 DOI:10.1016/j.atmosres.2022.106239

[33]	A Transfer Learning Method for Meteorological Visibility Estimation Based on Feature Fusion Method Applied Sciences, 2021 DOI:10.3390/app11030997

[34]	Experimental Evaluation of PSO Based Transfer Learning Method for Meteorological Visibility Estimation Atmosphere, 2021 DOI:10.3390/atmos12070828

[35]	Research on Airport Target Recognition under Low-Visibility Condition Based on Transfer Learning International Journal of Aerospace Engineering, 2021 DOI:10.1155/2021/9979630

[36]	Visibility detection and prediction of foggy highway based on lane line detection and Winters additive model 2021 40th Chinese Control Conference (CCC), 2021 DOI:10.23919/CCC52363.2021.9549291

[37]	LSTM-Based Visibility Detection for Airport Images in Time Series 2021 40th Chinese Control Conference (CCC), 2021 DOI:10.23919/CCC52363.2021.9550626

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[39]	Meteorology Visibility Estimation by Using Multi-Support Vector Regression Method Journal of Advances in Information Technology, 2020 DOI:10.12720/jait.11.2.40-47

[40]	Multimodal Deep Fusion Network for Visibility Assessment With a Small Training Dataset IEEE Access, 2020 DOI:10.1109/ACCESS.2020.3031283

[41]	Intelligent Computing, Information and Control Systems Advances in Intelligent Systems and Computing, 2020 DOI:10.1007/978-3-030-30465-2_28

[42]	A comparison of datamining tools for geo-spatial estimation of visibility from AROME-Morocco model outputs in regression framework 2020 IEEE International conference of Moroccan Geomatics (Morgeo), 2020 DOI:10.1109/Morgeo49228.2020.9121909

[43]	Research on the long-term and short-term forecasts of navigable river’s water-level fluctuation based on the adaptive multilayer perceptron Journal of Hydrology, 2020 DOI:10.1016/j.jhydrol.2020.125285

[44]	Forecasting Atmospheric Visibility Using Auto Regressive Recurrent Neural Network 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI), 2020 DOI:10.1109/IRI49571.2020.00037

[45]	Multi-step LSTM Prediction Model for Visibility Prediction 2020 International Joint Conference on Neural Networks (IJCNN), 2020 DOI:10.1109/IJCNN48605.2020.9206744

[46]	Visibility Prediction Based on Kilometric NWP Model Outputs Using Machine-Learning Regression 2018 IEEE 14th International Conference on e-Science (e-Science), 2018 DOI:10.1109/eScience.2018.00048

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