Optimizing Nominal Current Output for Aeronautical Ground Lighting Using Machine Learning and Meteorological Data-Reference-Cited by-同舟云学术

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

Published:2024 Issue: Volume:12 Page:100073-100085
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Jamaludin W. M. R.¹^ORCID,Ali N. H. Nik²^ORCID,Mohamed W. M. Wan¹^ORCID,Isa N. A. M.³

Affiliation:

1. School of Mechanical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

2. School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

3. Technical Services Division, Malaysia Airports Holdings Berhad, Malaysia Airports Sepang, Sepang, Selangor, Malaysia

Funder

Universiti Teknologi MARA and Institute of Postgraduate Studies UiTM

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10596261.pdf?arnumber=10596261

Reference35 articles.

1. Delineating the spatial-temporal variation of air pollution with urbanization in the Belt and Road Initiative area

2. Forecast model of airport haze visibility and meteorological factors based on SVR-RBF model

3. Probabilistic Nowcasting of Low-Visibility Procedure States at Vienna International Airport During Cold Season

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