Transforming from Mathematical Model to ML Model for Meteorology in Macao's Smart City Planning

Vai Kei Ian; Rita Tse; Su Kit Tang; Giovanni Pau

doi:10.1145/3599609.3599620

Transforming from Mathematical Model to ML Model for Meteorology in Macao's Smart City Planning

Vai Kei Ian
, Rita Tse
, Su Kit Tang
, Giovanni Pau

Faculty of Applied Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Recently, with the rapid development and use of technology in network infrastructures, Macao is being transformed into a smart city progressively, even though it is recognized as a World heritage city for its architectural wonders and rich cultural traditions. The benefits of machine learning technology open up new avenues for environmental monitoring, such as weather forecasting, early extreme or severe weather alerts and safeguards, disaster mitigation enhancement, and technological revolution as part of overall smart city planning in Macao. This study focuses on the evolution of artificial intelligence, the important use of machine learning technology in the field of meteorology, and suggestions on the major future development trends in Macao to the migration of a smart city.We discussed solutions tackling the problems in weather forecasting in Macao while creating advances in its transformation to be a smarter city, starting with the essence of machine learning and turning challenges into opportunities.

Original language	English
Title of host publication	ICEEG 2023 - 2023 7th International Conference on E-Commerce, E-Business and E-Government
Publisher	Association for Computing Machinery
Pages	72-78
Number of pages	7
ISBN (Electronic)	9798400708398
DOIs	https://doi.org/10.1145/3599609.3599620
Publication status	Published - 27 Apr 2023
Event	7th International Conference on E-Commerce, E-Business and E-Government, ICEEG 2023 - Plymouth, United Kingdom Duration: 27 Apr 2023 → 29 Apr 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	7th International Conference on E-Commerce, E-Business and E-Government, ICEEG 2023
Country/Territory	United Kingdom
City	Plymouth
Period	27/04/23 → 29/04/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

artificial intelligence
machine learning
smart city
weather forecast

Access to Document

10.1145/3599609.3599620

Cite this

Ian, V. K., Tse, R., Tang, S. K., & Pau, G. (2023). Transforming from Mathematical Model to ML Model for Meteorology in Macao's Smart City Planning. In ICEEG 2023 - 2023 7th International Conference on E-Commerce, E-Business and E-Government (pp. 72-78). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3599609.3599620

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title = "Transforming from Mathematical Model to ML Model for Meteorology in Macao's Smart City Planning",

abstract = "Recently, with the rapid development and use of technology in network infrastructures, Macao is being transformed into a smart city progressively, even though it is recognized as a World heritage city for its architectural wonders and rich cultural traditions. The benefits of machine learning technology open up new avenues for environmental monitoring, such as weather forecasting, early extreme or severe weather alerts and safeguards, disaster mitigation enhancement, and technological revolution as part of overall smart city planning in Macao. This study focuses on the evolution of artificial intelligence, the important use of machine learning technology in the field of meteorology, and suggestions on the major future development trends in Macao to the migration of a smart city.We discussed solutions tackling the problems in weather forecasting in Macao while creating advances in its transformation to be a smarter city, starting with the essence of machine learning and turning challenges into opportunities.",

keywords = "artificial intelligence, machine learning, smart city, weather forecast",

author = "Ian, \{Vai Kei\} and Rita Tse and Tang, \{Su Kit\} and Giovanni Pau",

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year = "2023",

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language = "English",

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Ian, VK, Tse, R , Tang, SK & Pau, G 2023, Transforming from Mathematical Model to ML Model for Meteorology in Macao's Smart City Planning. in ICEEG 2023 - 2023 7th International Conference on E-Commerce, E-Business and E-Government. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 72-78, 7th International Conference on E-Commerce, E-Business and E-Government, ICEEG 2023, Plymouth, United Kingdom, 27/04/23. https://doi.org/10.1145/3599609.3599620

Transforming from Mathematical Model to ML Model for Meteorology in Macao's Smart City Planning. / Ian, Vai Kei; Tse, Rita ; Tang, Su Kit et al.
ICEEG 2023 - 2023 7th International Conference on E-Commerce, E-Business and E-Government. Association for Computing Machinery, 2023. p. 72-78 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tang, Su Kit

AU - Pau, Giovanni

PY - 2023/4/27

Y1 - 2023/4/27

N2 - Recently, with the rapid development and use of technology in network infrastructures, Macao is being transformed into a smart city progressively, even though it is recognized as a World heritage city for its architectural wonders and rich cultural traditions. The benefits of machine learning technology open up new avenues for environmental monitoring, such as weather forecasting, early extreme or severe weather alerts and safeguards, disaster mitigation enhancement, and technological revolution as part of overall smart city planning in Macao. This study focuses on the evolution of artificial intelligence, the important use of machine learning technology in the field of meteorology, and suggestions on the major future development trends in Macao to the migration of a smart city.We discussed solutions tackling the problems in weather forecasting in Macao while creating advances in its transformation to be a smarter city, starting with the essence of machine learning and turning challenges into opportunities.

AB - Recently, with the rapid development and use of technology in network infrastructures, Macao is being transformed into a smart city progressively, even though it is recognized as a World heritage city for its architectural wonders and rich cultural traditions. The benefits of machine learning technology open up new avenues for environmental monitoring, such as weather forecasting, early extreme or severe weather alerts and safeguards, disaster mitigation enhancement, and technological revolution as part of overall smart city planning in Macao. This study focuses on the evolution of artificial intelligence, the important use of machine learning technology in the field of meteorology, and suggestions on the major future development trends in Macao to the migration of a smart city.We discussed solutions tackling the problems in weather forecasting in Macao while creating advances in its transformation to be a smarter city, starting with the essence of machine learning and turning challenges into opportunities.

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ER -

Transforming from Mathematical Model to ML Model for Meteorology in Macao's Smart City Planning

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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