Shyamali Mitra

Orcid: 0000-0001-6502-9056

According to our database1, Shyamali Mitra authored at least 15 papers between 2016 and 2023.

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

Timeline

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Bibliography

2023
A Low Latency and Compact GCD Design Using an Intelligent Seed-Selection Scheme of LL-PRNG.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., November, 2023

Development of Noise Tolerant Document Image Binarization Technique Employing an Accurate Square Root Circuit.
SN Comput. Sci., March, 2023

ULGss: A Strategy to construct a Library of Universal Logic Gates for N-variable Boolean Logic beyond NAND and NOR.
CoRR, 2023

GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images.
Comput. Biol. Medicine, 2023

2022
FPGA implementation of fast square root algorithm with tunable accuracy.
Int. J. Embed. Syst., 2022

Cytology Image Analysis Techniques Toward Automation: Systematically Revisited.
ACM Comput. Surv., 2022

Remodelling correlation: A fault resilient technique of correlation sensitive stochastic designs.
Array, 2022

Ensemble Framework for Unsupervised Cervical Cell Segmentation.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021
Niblack Binarization on Document Images: Area Efficient, Low Cost, and Noise Tolerant Stochastic Architecture.
Int. J. Pattern Recognit. Artif. Intell., 2021

ReCo1: A Fault resilient technique of Correlation Sensitive Stochastic Designs.
CoRR, 2021

A Low Latency Stochastic Square Root Circuit.
Proceedings of the 34th International Conference on VLSI Design and 20th International Conference on Embedded Systems, 2021

2020
Identification of Malignancy from Cytological Images Based on Superpixel and Convolutional Neural Networks.
Proceedings of the Intelligent Computing Paradigm: Recent Trends, 2020

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited.
CoRR, 2020

SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images.
CoRR, 2020

2016
Analysis of Pancreas Histological Images for Glucose Intolerance Identification Using Wavelet Decomposition.
Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016


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