ON FEATURED IOT FOR SMART PUBLIC TRANSPORTATION WITH CLOUD-BASED MACHINE LEARNING

Mochamad Nizar Palefi Ma'ady

Abstract


With rapid development of science and technology and the accelerated pace of urbanization, smart city has been also widely spread across our country. By Internet of Things, we put forward a kind innovative way of real-time air pollution monitoring into public city transportation vehicle. We take information about the surrounding environment through sensors and upload it directly to the internet. This paper fosters the advantages of the cloud-based computing frameworks (such as Microsoft Azure Machine Learning Studio) and presents a practical work-flow well-suited for the standard machine learning tasks.

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References


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DOI: http://dx.doi.org/10.36564/njca.v3i1.42

DOI (PDF): http://dx.doi.org/10.36564/njca.v3i1.42.g39

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Copyright (c) 2018 Mochamad Nizar Palefi Ma'ady

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

NJCA(Nusantara Journal of Computers and Its Applications)
Published by Computer Society of Nahdlatul Ulama, Indonesia.
Office : PO.BOX 1 Paiton Probolinggo kodepos 67291 Jawa Timur, Indonesia

DECREE OF THE MINISTER OF LAW AND HUMAN RIGHTS OF THE REPUBLIC OF INDONESIA
NUMBER AHU-0060541.AH.01.07.YEAR 2016