A Virtual Sensor Network Framework for Vehicle Quality Evaluation

Moh'D ALWADI, Girija CHETTY, Mohammad YAMIN

Research output: Chapter in Book/Report/Conference proceedingConference 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.
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
StatePublished - 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

Fingerprint

Sensor networks
Supply chains
Learning systems

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). New Delhi, India: BVICAM.
ALWADI, Moh'D ; CHETTY, Girija ; YAMIN, Mohammad. / A Virtual Sensor Network Framework for Vehicle Quality Evaluation. 12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development. editor / M.V. Hoda. New Delhi, India : BVICAM, 2018. pp. 1416-1420
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title = "A Virtual Sensor Network Framework for Vehicle Quality Evaluation",
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.",
keywords = "Vehicle Quality, Data Mining, Machine Learning",
author = "Moh'D ALWADI and Girija CHETTY and Mohammad YAMIN",
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language = "English",
isbn = "9789380544281",
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ALWADI, MD, CHETTY, G & YAMIN, M 2018, A Virtual Sensor Network Framework for Vehicle Quality Evaluation. in MV Hoda (ed.), 12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development. BVICAM, New Delhi, India, pp. 1416-1420, 12th INDIACom, New Delhi, India, 14/03/18.

A Virtual Sensor Network Framework for Vehicle Quality Evaluation. / ALWADI, Moh'D; CHETTY, Girija; YAMIN, Mohammad.

12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development. ed. / M.V. Hoda. New Delhi, India : BVICAM, 2018. p. 1416-1420.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A Virtual Sensor Network Framework for Vehicle Quality Evaluation

AU - ALWADI,Moh'D

AU - CHETTY,Girija

AU - YAMIN,Mohammad

PY - 2018/3/15

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N2 - 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.

AB - 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.

KW - Vehicle Quality

KW - Data Mining

KW - Machine Learning

UR - http://bvicam.ac.in/news/INDIACom%202018%20Proceedings/Main/papers/134.pdf

M3 - Conference contribution

SN - 9789380544281

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EP - 1420

BT - 12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development

PB - BVICAM

CY - New Delhi, India

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ALWADI MD, CHETTY G, YAMIN M. A Virtual Sensor Network Framework for Vehicle Quality Evaluation. In Hoda MV, editor, 12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development. New Delhi, India: BVICAM. 2018. p. 1416-1420.