Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Décio Alves"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 10, Iss , Pp 100862- (2024)
Accurate and efficient wind measurement and monitoring are crucial for various applications, including renewable energy, meteorology, public safety, and environmental research. This paper presents an integrated approach for a cloud-computing Internet
Externí odkaz:
https://doaj.org/article/07cf5526fdb64d36bd5ebb6be65e69ea
Publikováno v:
Environmental Research Communications, Vol 6, Iss 10, p 105008 (2024)
This study examines the application of machine learning to enhance wind nowcasting by using a Kolmogorov-Arnold Network model to improve predictions from the Global Forecast System at Madeira International Airport, a site affected by complex terrain.
Externí odkaz:
https://doaj.org/article/d2077647b4844373bf657b9e6293da6f
Publikováno v:
Environmental Research Communications, Vol 6, Iss 5, p 055014 (2024)
Accurate wind speed and direction nowcasting in regions with complex terrains remains a challenge, and critical for applications like aviation. This study proposes a new methodology by harnessing Convolutional Neural Networks and Long Short-Term Memo
Externí odkaz:
https://doaj.org/article/bae11a4b68dd4846a0a4cc0116f97846
Publikováno v:
Computers, Vol 12, Iss 10, p 206 (2023)
Wind forecasting, which is essential for numerous services and safety, has significantly improved in accuracy due to machine learning advancements. This study reviews 23 articles from 1983 to 2023 on machine learning for wind speed and direction nowc
Externí odkaz:
https://doaj.org/article/2dbd3d0a12a24c1ea9f5176f93e80b16
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10221 (2023)
Wind factors significantly influence air travel, and extreme conditions can cause operational disruptions. Machine learning approaches are emerging as a valuable tool for predicting wind patterns. This research, using Madeira International Airport as
Externí odkaz:
https://doaj.org/article/a405e5d994fc4a4d9f2438aa7c0a9281
Autor:
Décio Alves-Lima, Jun Song, Xiaoran Li, Alessia Portieri, Yaochun Shen, J. Axel Zeitler, Hungyen Lin
Publikováno v:
Sensors, Vol 20, Iss 5, p 1441 (2020)
Terahertz pulsed imaging (TPI) was introduced approximately fifteen years ago and has attracted a lot of interest in the pharmaceutical industry as a fast, non-destructive modality for quantifying film coatings on pharmaceutical dosage forms. In this
Externí odkaz:
https://doaj.org/article/be3ea378a341431685ad1bb1a012f387
Publikováno v:
IEEE Access, Vol 12, Pp 61211-61220 (2024)
The unique geographical and topographical features of Madeira International Airport in Portugal significantly influence flight safety, primarily due to variable wind patterns. In this study, a machine learning approach is developed to predict runway
Externí odkaz:
https://doaj.org/article/4c1f90e779c84f4492c8904da809812d