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Ajay K. Mandava, Ph.D.

Affiliations: 
2013 Electrical Engineering University of Nevada, Las Vegas, Las Vegas, NV, United States 
Area:
Electronics and Electrical Engineering, Computer Engineering
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"Ajay Mandava"
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Emma E. Regentova grad student 2013 University of Nevada, Las Vegas
 (Nonlinear adaptive diffusion models for image denoising.)

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Publications

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Mandava AK, Regentova EE, Berli M. (2015) Unsupervised segmentation of soil X-ray microtomography images Proceedings of Spie - the International Society For Optical Engineering. 9631
Mandava AK, Regentova EE, Berli M. (2015) A semi-automated segmentation of soil x-ray microtomography Procedia Computer Science. 46: 1468-1475
Mandava AK, Regentova EE. (2015) Visualization of nuclear and other non-commercial materials using megavoltage x-ray technology Procedia Computer Science. 46: 1268-1273
Mandava AK, Regentova EE, Bebis G. (2014) LFAD: Locally- and feature-adaptive diffusion based image denoising Applied Mathematics and Information Sciences. 8: 1-12
Yazdanpanah AP, Mandava AK, Regentova EE, et al. (2014) A CUDA based implementation of locally-and feature-adaptive diffusion based image denoising algorithm Itng 2014 - Proceedings of the 11th International Conference On Information Technology: New Generations. 388-393
Yazdanpanah AP, Regentova EE, Mandava AK, et al. (2013) Sky segmentation by fusing clustering with neural networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8034: 663-672
Mandava AK, Regentova EE. (2012) Speckle Noise Reduction Using Local Binary Pattern Procedia Technology. 6: 574-581
Mandava AK, Regentova EE. (2012) Image diffusion in connection with robust M-estimators Procedia Engineering. 30: 1138-1145
Mandava AK, Regentova EE, Egiazarian K. (2012) Local binary pattern adaptive diffusion for image denoising Proceedings of the 2012 International Conference On Image Processing, Computer Vision, and Pattern Recognition, Ipcv 2012. 1: 379-384
Regentova EE, Zhang L, Mandava AK, et al. (2011) Advantages and challenges of radioscopio detection of nuclear materials in cargo containers with two megavoltage energy barriers Nuclear Technology. 175: 276-285
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