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Name - Nikita SInghal (19ENG7CSE0008)

Branch - Computer Science & Engineering

Faculty - Faculty of Engineering & Technology

Date of Registration - 21st October 2019

Supervisor - Dr. Lalji Prasad, Professor.

Date of Ph.D. Viva - 21st July 2023

Title - Study of Deep Learning Models for Vision-Based Vehicle Detection


Nikita Singhal and Lalji Prasad, Sensor based vehicle detection and classification - a systematic review, International Journal of Engineering Systems Modelling and Simulation, Vol. 13, No. 1, pp. 38-60, Apr 2022. DOI: 10.1504/IJESMS.2021.10041277. (ESCI and Scopus Indexed).

Nikita Singhal and Lalji Prasad, A Comparative Analysis of Deep Learning based Vehicle Detection Approaches, International Journal of Next-Generation Computing, Vol. 14, No. 2, pp. 485-501, March 2023. (UGC Care and ESCI).

Nikita Singhal and Lalji Prasad, MIRYO: A Hybrid Deep Learning Model for Vehicle Detection in Noisy Images, (Communicated) International Journal of Knowledge-Based and Intelligent Engineering Systems. (ESCI and Scopus Indexed). 

Patent

Quick Response Code based Vehicle Verification and Challan Generation System (QRCVVCGS)”, Application Number 202021045204 A, Date of filing Oct 16, 2020; Date of publication Nov 13, 2020.



http://hdl.handle.net/10603/513063