Mukul Shirvaikar
Mukul Shirvaikar
Professor of Electrical 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
Trends in automated visual inspection
M Shirvaikar
Journal of Real-Time Image Processing 1 (1), 41-43, 2006
Developing texture-based image clutter measures for object detection
MV Shirvaikar, MM Trivedi
Optical Engineering 31 (12), 2628-2639, 1992
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
Quantitative characterization of image clutter: problem, progress, and promises
MM Trivedi, MV Shirvaikar
Characterization, Propagation, and Simulation of Sources and Backgrounds III …, 1993
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, 4-4, 2012
Optimization of computer vision algorithms for real time platforms
P Poudel, M Shirvaikar
2010 42nd Southeastern Symposium on System Theory (SSST), 51-55, 2010
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
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
Automatic detection and interpretation of road signs
MV Shirvaikar
Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of …, 2004
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
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
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
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
The system can't perform the operation now. Try again later.
Articles 1–20