S. Veluchamy - researchr alias

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Viewing Publication 1 - 6 from 6

2023

HY-LSTM: A new time series deep learning architecture for estimation of pedestrian time to cross in advanced driver assistance systemS. Veluchamy, K. Michael Mahesh, Muthukrishnan R, Karthi S. jvcir, 97:103982, December 2023. [doi]

DeepDrive: A braking decision making approach using optimized GAN and Deep CNN for advanced driver assistance systemsS. Veluchamy, K. Michael Mahesh, Pon Bharathi A., Paul T. Sheeba. eaai, 123(Part A):106111, 2023. [doi]

2022

RBorderNet: Rider Border Collie Optimization-based Deep Convolutional Neural Network for road scene segmentation and road intersection classificationK. Michael Mahesh, S. Veluchamy, J. Thirumalai, Sureshkanna P.. dsp, 129:103626, 2022. [doi]

2021

Detection and Localization of Abnormalities in Surveillance Video Using Timerider-Based Neural NetworkS. Veluchamy, L. R. Karlmarx, K. Michael Mahesh. cj, 64(12):1886-1906, 2021. [doi]

2019

Foreground Detection Scheme Using Patch Based Techniques for Heavily Cluttered VideoL. R. Karlmarx, S. Veluchamy. REV 2020: 832-837 [doi]

2017

System for multimodal biometric recognition based on finger knuckle and finger vein using feature-level fusion and k-support vector machine classifierS. Veluchamy, L. R. Karlmarx. iet-bmt, 6(3):232-242, 2017. [doi]

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