Mukul Shirvaikar
Mukul Shirvaikar
Professor of Electrical and Computer Engineering, University of Texas at Tyler
Verified email at - Homepage
Cited by
Cited by
A neural network approach to character recognition
A Rajavelu, MT Musavi, MV Shirvaikar
Neural networks 2 (5), 387-393, 1989
A neural network filter to detect small targets in high clutter backgrounds
MV Shirvaikar, MM Trivedi
IEEE Transactions on neural networks 6 (1), 252-257, 1995
An optimal measure for camera focus and exposure
MV Shirvaikar
Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of …, 2004
A vision based method to automate map processing
MT Musavi, MV Shirvaikar, E Ramanathan, AR Nekovei
Pattern Recognition 21 (4), 319-326, 1988
Developing texture-based image clutter measures for object detection
MV Shirvaikar, MM Trivedi
Optical Engineering 31 (12), 2628-2639, 1992
Trends in automated visual inspection
M Shirvaikar
Journal of Real-Time Image Processing 1 (1), 41-43, 2006
A comparison between DSP and FPGA platforms for real-time imaging applications
M Shirvaikar, T Bushnaq
Real-Time Image and Video Processing 2009 7244, 49-58, 2009
Edge detection using the fuzzy control paradigm
JC Bezdek, M Shirvaikar
Proc. 2nd Eur. Congress Intell. Tech. Soft Computing 1, 1-12, 1994
Real-time detection of maize crop disease via a deep learning-based smartphone app
B Richey, S Majumder, M Shirvaikar, N Kehtarnavaz
Real-Time Image Processing and Deep Learning 2020 11401, 23-29, 2020
The measurement of bone quality using gray level co-occurrence matrix textural features
M Shirvaikar, N Huang, XN Dong
Journal of medical imaging and health informatics 6 (6), 1357-1362, 2016
Cellular automata‐based parallel random number generators using FPGAs
DHK Hoe, JM Comer, JC Cerda, CD Martinez, MV Shirvaikar
International Journal of Reconfigurable Computing 2012 (1), 219028, 2012
Biomechanical properties and microarchitecture parameters of trabecular bone are correlated with stochastic measures of 2D projection images
XN Dong, M Shirvaikar, X Wang
Bone 56 (2), 327-336, 2013
Quantitative characterization of image clutter: problem, progress, and promises
MM Trivedi, MV Shirvaikar
Characterization, Propagation, and Simulation of Sources and Backgrounds III …, 1993
Optimization of computer vision algorithms for real time platforms
P Poudel, M Shirvaikar
2010 42nd Southeastern Symposium on System Theory (SSST), 51-55, 2010
Deep learning based real-time detection of Northern Corn Leaf Blight crop disease using YoloV4
B Richey, MV Shirvaikar
Real-time image processing and deep learning 2021 11736, 39-45, 2021
Automatic detection and interpretation of road signs
MV Shirvaikar
Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of …, 2004
Random field assessment of inhomogeneous bone mineral density from DXA scans can enhance the differentiation between postmenopausal women with and without hip fractures
XN Dong, R Pinninti, T Lowe, P Cussen, JE Ballard, D Di Paolo, ...
Journal of biomechanics 48 (6), 1043-1051, 2015
Stochastic predictors from the DXA scans of human lumbar vertebrae are correlated with the microarchitecture parameters of trabecular bone
XN Dong, R Pinninti, A Tvinnereim, T Lowe, D Di Paolo, M Shirvaikar
Journal of biomechanics 48 (12), 2968-2975, 2015
Enhancement of flying probe tester systems with automated optical inspection
P Radev, M Shirvaikar
2006 Proceeding of the Thirty-Eighth Southeastern Symposium on System Theory …, 2006
No-reference image quality assessment based on deep convolutional neural networks
R Ravela, M Shirvaikar, C Grecos
Real-Time Image Processing and Deep Learning 2019 10996, 1099604, 2019
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