Prof Parashuram Bannigidad
Professor
| Department of Computer Science
Rani Channamma University, Belagavi
Karnataka
Expertise:
Computer Science Interdisciplinary SCI
34
Publications
6
Projects
147
Scopus Citations
146
CrossRef
13 Years Total Experience
Scopus
147
Citations
8
h-index
CrossRef
146
Citations
7
h-index
Google Scholar
Loading Scholar statistics...
Professional Recognition
Young Scientist
2012
Dept. of Information Technology, Biotechnology and Science and Technology, Govt. of Karnataka, Banga
Community & Membership
No Data Found
There is currently nothing to display here.
No Data Found
There is currently nothing to display here.
Personal Details
Doctor of Philosophy
2012
N/A
Professor
Sep 2013 – Present
Rani Channamma University, Belagavi
| Department of Computer Science
Engineering and Technology
Scholarly Work
Digitization, Restoration and Classification of Historical Kannada Handwritten Manuscripts
OtherDigitization and Restoration of Historical Kannada Handwritten Manuscripts
OtherA Study of Aluminium Nanoparticle Image Analysis using Digital Image Processing Techniques
OtherInfrastructural development and
OtherVGST, Govt. of Karnataka, Dept. of IT, BT, and Science and Technology
OtherBacterial Cell Image Analysis using Digital Image Processing Techniques JNTU Hyderabad
OtherHistorical Kannada Handwritten ScriptsRecognition System
A Study on Aluminium Nanoparticle Image Analysis using Digital Image Processing Techniques
Digital Fundus Image Analysis for Detection of Retinopathy Disorders
No Data Found
There is currently nothing to display here.
Scholarly Publications
Influence of anodizing time on porosity of nanopore structures grown on flexible TLC aluminium films and analysis of images using MATLAB software
Digital microscopic bacterial cell growth analysis and cell division time determination for Escherichia coli using fuzzy inference system
Structural analysis and classification of silver–graphene oxide (Ag-GO) nanocomposites using SAM-based segmentation and machine learning models
Machine Learning and Deep Learning-Driven Restoration System for Degraded Kannada Historical Manuscripts
The Fusion of Features for Detection of Cotton Wool Spots in Digital Fundus Images
Detection of non-proliferative diabetic retinopathy from digital fundus images
Open AccessAutomated Detection and Counting of Red-Dots from Digital Fundus Images
The Fusion of Features for Detection of Clinical Symptoms of Diabetic Retinopathy and its Grading from Digital Fundus Images
Scopus: 1
Showing 1 to 8 of 34 publications