Pragya Gupta

Orcid: 0009-0009-9896-2294

According to our database1, Pragya Gupta authored at least 14 papers between 2017 and 2024.

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Bibliography

2024
A survey of recent advances in analysis of skin images.
Evol. Intell., 2024

Inter Observer Variability Assessment through Ordered Weighted Belief Divergence Measure in MAGDM Application to the Ensemble Classifier Feature Fusion.
CoRR, 2024

Multiscale Color Guided Attention Ensemble Classifier for Age-Related Macular Degeneration using Concurrent Fundus and Optical Coherence Tomography Images.
CoRR, 2024

Anisotropic diffusion filter based fusion of NSST transformed medical images.
Biomed. Signal Process. Control., 2024

2023
NITK-KLESC: Kannada Language Emotional Speech Corpus for Speaker Recognition.
Proceedings of the 26th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques, 2023

2022
The Bonferroni mean-type pre-aggregation operators construction and generalization: Application to edge detection.
Inf. Fusion, 2022

A Graphical Approach For Brain Haemorrhage Segmentation.
CoRR, 2022

2021
Numerical Study on the Possible Scanning Pathways to Optimize Thermal Impacts During Multiple Sonication of HIFU.
IEEE Trans. Biomed. Eng., 2021

Prediction of COVID-19 epidemic curve of India using supervised learning approach.
Int. J. Comput. Appl. Technol., 2021

2020
Efficient Human Feature Recognition Process Using Sclera.
Proceedings of the Machine Learning, Image Processing, Network Security and Data Sciences, 2020

2018
Wild Animal Detection from Highly Cluttered Images Using Deep Convolutional Neural Network.
Int. J. Comput. Intell. Appl., 2018

Image Steganography Using Improved Algorithms to Enhance Security and Payload of Traditional LSB Substitution.
Proceedings of the 9th International Conference on Computing, 2018

2017
Software Engineering for Smart Cyber-Physical Systems: Challenges and Promising Solutions.
ACM SIGSOFT Softw. Eng. Notes, 2017

Wild Animal Detection Using Deep Convolutional Neural Network.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017


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