B. V. V. S. N. Prabhakar Rao

Orcid: 0000-0001-5135-0500

Affiliations:
  • Birla Institute of Technology and Science Pilani, Hyderabad Campus, India


According to our database1, B. V. V. S. N. Prabhakar Rao authored at least 10 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fusion of 3D Convolutional Neural Network and Multifractal Features for High- and Low-grade Glioma Classification using Diffusion Tensor Imaging.
Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2024

2022
Memristors Enabled Computing Correlation Parameter In-Memory System: A Potential Alternative to Von Neumann Architecture.
IEEE Trans. Very Large Scale Integr. Syst., 2022

Erratum to "A Portable 3-D Printed Electrochemiluminescence Platform With Pencil Graphite Electrodes for Point-of-Care Multiplexed Analysis With Smartphone-Based Read Out".
IEEE Trans. Instrum. Meas., 2022

An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices.
BMC Medical Imaging, 2022

2021
A Portable 3-D Printed Electrochemiluminescence Platform With Pencil Graphite Electrodes for Point-of-Care Multiplexed Analysis With Smartphone-Based Read Out.
IEEE Trans. Instrum. Meas., 2021

Memristor-based in-memory processor for high precision semantic text classification.
Comput. Electr. Eng., 2021

2019
Glioma grade classification using wavelet transform-local binary pattern based statistical texture features and geometric measures extracted from MRI.
J. Exp. Theor. Artif. Intell., 2019

2018
Comparison of Voltage Charging Techniques to Increase the Life of Lead Acid Batteries.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2018

2017
Volumetric analysis of MR images for glioma classification and their effect on brain tissues.
Signal Image Video Process., 2017

2016
Brain Tumor Detection in Conventional MR Images Based on Statistical Texture and Morphological Features.
Proceedings of the 2016 International Conference on Information Technology, 2016


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