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Shankramma S. Dhavalagimath
Observed name:
Shankramma S Dhavalagimath
Institution:
Dayananda Sagar University
Observed institution:
Dayananda Sagar University
ORCID:
0009-0003-6201-2592
Observed ORCID:
0009-0003-6201-2592
OpenAlex ID:
A5116473039
Design of an intelligent method for blur classification and adaptive restoration framework for robust aerial image deblurring operations
2026
·
Shankramma S. Dhavalagimath
, T. M. Rajesh
, et al.
·
International Journal of Information Technology
·
1
AI-Powered Portable Urinalysis System for Risk Screening of Uro-Systemic Disorders
2026
·
Praveen Kulkarni
, Tejas M I
, et al.
·
International Conference on Inventive Systems and Control (ICISC)
A Rule-based Optimized Mathematical Framework for High-fidelity Aerial Image Restoration
2026
·
Shankramma S. Dhavalagimath
, T. M. Rajesh
, et al.
·
International Journal of Computational Intelligence Systems
A Multi-Stage Hybrid Framework for Blurred Aerial Image Enhancement using Super-Resolution and Contrast-Edge Optimization
2026
·
Shankramma S Dhavalagimath
, V. Sujay
, et al.
Overcoming Illumination Challenges in Information Retrieval for Multifaceted Background Images
2025
·
Rajesh T M
, Shankramma S Dhavalagimath
, et al.
Optimized Feature Refinement Using a GAN-Enhanced Deep Learning Model with RBF-Based Aerial Blurred Image Classification
2025
·
Shankramma S. Dhavalagimath
, T. M. Rajesh
, et al.
·
Mathematical Modelling and Engineering Problems
A Dual-Stage Framework for Accurate Blur Detection and Image Deblurring
2025
·
Rajesh T M
, Shankramma S Dhavalagimath
, et al.
·
International Conference on Inventive Computing and Informatics (ICICI)
Advancements in Image Deblurring and Performance Metrics Using Deep Learning Technique
2025
·
Shankramma S. Dhavalagimath
, T. M. Rajesh
, et al.
·
Lecture notes in networks and systems
Improving Image Restoration with a Hybrid Inverse and Median Filtering Approach
2025
·
Shankramma S. Dhavalagimath
, T. M. Rajesh
, et al.
·
Lecture notes in networks and systems
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Works count:
9
Citation count:
1
H-index:
1
I10-index:
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