A Virtual Sensor Network Framework for Vehicle Quality Evaluation

Moh'D ALWADI, Girija CHETTY, Mohammad YAMIN

Research output: A Conference proceeding or a Chapter in BookConference contribution

Abstract

In this paper we propose a novel virtual sensor network framework for assessing the value and quality of the vehicle based on a data driven approach, using machine learning and data science techniques. The evaluation of the proposed approach done on two publicly available datasets, showed the capability for automatic prediction of vehicle quality, based on different characteristics of vehicle captured at different levels of vehicle supply chain from manufacturing to the end user.
Original languageEnglish
Title of host publication12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development
EditorsM.V. Hoda
Place of PublicationNew Delhi, India
PublisherBVICAM
Pages1416-1420
Number of pages5
ISBN (Print)9789380544281
Publication statusPublished - 15 Mar 2018
Event12th INDIACom: 2018 5th International Conference on Computing for Sustainable Global Development - Bharati Vidyapeeth's Institute of Computer Applications and Management (BVICAM), New Delhi, India
Duration: 14 Mar 201816 Aug 2018

Conference

Conference12th INDIACom
CountryIndia
CityNew Delhi
Period14/03/1816/08/18

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  • Cite this

    ALWADI, MD., CHETTY, G., & YAMIN, M. (2018). A Virtual Sensor Network Framework for Vehicle Quality Evaluation. In M. V. Hoda (Ed.), 12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development (pp. 1416-1420). BVICAM. http://bvicam.ac.in/news/INDIACom%202018%20Proceedings/Main/papers/134.pdf