Supporting weather forecasting performance management at aerodromes through anomaly detection and hierarchical clustering

R Patriarca, F Simone, G Di Gravio - Expert Systems with Applications, 2023 - Elsevier
Weather forecasting is a critical factor for aerodrome and enroute flight operations. Airport
decision-makers rely on assessments made by forecasters to ensure operations safety and …

The technological emergence of automl: A survey of performant software and applications in the context of industry

A Scriven, DJ Kedziora, K Musial… - … and Trends® in …, 2023 - nowpublishers.com
With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …

[PDF][PDF] A Scoping Review of Artificial Intelligence Applications in Airports

MA Amiri, AO Kusakci - Comput. Res. Prog. Appl. Sci. Eng …, 2024 - crpase.procedia.org
This paper aims to synthesize the literature on the application of artificial intelligence for
airports. The selected methodology was based on the PRISMA Extension for Scoping …

Deep quantified visibility estimation for traffic image

F Zhang, T Yu, Z Li, K Wang, Y Chen, Y Huang… - Atmosphere, 2022 - mdpi.com
Image-based quantified visibility estimation is an important task for both atmospheric
science and computer vision. Traditional methods rely largely on meteorological observation …

Atmospheric Visibility and Cloud Ceiling Predictions with Hybrid IIS-LSTM Integrated Model: Case Studies for Fiji's Aviation Industry

S Raj, RC Deo, E Sharma, R Prasad, T Dinh… - IEEE …, 2024 - ieeexplore.ieee.org
Atmospheric visibility and cloud ceiling forecasts are essential for the safety and efficiency of
flight operations and the aviation industry. Routine hourly aviation meteorological …

Multi‐site collaborative forecasting of regional visibility based on spatiotemporal convolutional network

W Tian, C Lin, Y Wu, C Jin, X Li - Meteorological Applications, 2024 - Wiley Online Library
Regional visibility forecasting encounters challenges due to data imbalance, temporal non‐
linearity and the consideration of multi‐scale spatial factors. To tackle these challenges, this …

Characteristic Analysis and Short-Impending Prediction of Aircraft Bumpiness over Airport Approach Areas and Flight Routes

J Ding, G Zhang, S Wang, B Xue, K Wang, T Yu… - Atmosphere, 2023 - mdpi.com
Based on the Quick Access Recorder (QAR) data covering over 9000 routes in China, the
monthly and intra-day distribution characteristics of aircraft bumpiness at different levels …

Optimizing Nominal Current Output for Aeronautical Ground Lighting Using Machine Learning and Meteorological Data

WMR Jamaludin, NHN Ali, WMW Mohamed… - IEEE …, 2024 - ieeexplore.ieee.org
Although there have been numerous studies on visibility prediction, there have been
insignificant studies conducted to predict nominal current output based on visibility …

SAFETRANS: a system for 3D visibility estimation and cloud cover detection

HX De Lastic, O Soupiona, V Kostopoulos… - Applied Optics, 2023 - opg.optica.org
The estimation of visibility is of significant importance in aviation safety and forms part of the
measurements routinely collected in real time to provide safety guidelines and decisions …

Impact and Challenges of Intelligent IoT in Meteorological Science

Y Chen, K Hayawi, J He, H Song… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The abundant data in meteorological science has facilitated applying big data techniques.
The data collection was achieved by researchers using different atmospheric sounding …