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Published Paper Details:
Paper Title
ROAD CRASH ANALYTICS USING DEEP LEARNING ALGORITHM
Authors
SHAIK MAHAMMED NADEEN, VOLETI NAGA VENKATA SAI RAJESH, VASANTHA VENKATA SATISWAR REDDY, D BALAKRISHNAN
Keywords
Multilayer Support prediction Algorithm (MSPA)�
Abstract
The examination of street crash information
has for quite some time been utilized as a reason for
affecting the street and vehicle plans and directing the
execution of different arrangements with the view to
upgrade the street wellbeing. Having referenced to this
issue, we should anticipate powerful standards in Vehicle
crash wounds. The term mishap is correctly portrayed as an
event of such occasions which are for the most part brings
about adventitious injury, death toll or property harm.
Multilayer Support prediction Algorithm (MSPA) Therefore
to lessen the seriousness of these wounds, the engine vehicle
crashes has become an issue for the thruway organizations
and vehicle fabricating organizations since
IJCRT's Publication Details
Unique Identification Number - IJCRT2105556
Paper ID - 207340
Page Number(s) - f168-f172
Pubished in - Volume 9 | Issue 5 | May 2021
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
SHAIK MAHAMMED NADEEN, VOLETI NAGA VENKATA SAI RAJESH, VASANTHA VENKATA SATISWAR REDDY, D BALAKRISHNAN, "ROAD CRASH ANALYTICS USING DEEP LEARNING ALGORITHM", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.9, Issue 5, pp.f168-f172, May 2021, Available at :http://www.ijcrt.org/papers/IJCRT2105556.pdf
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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