Rajitha Bakthula
Orcid: 0000-0002-2771-9950Affiliations:
- Motilal Nehru National Institute of Technology Allahabad, CSED, MNNIT, Prayagraj, India
According to our database1,
Rajitha Bakthula
authored at least 16 papers
between 2015 and 2024.
Collaborative distances:
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on orcid.org
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Bibliography
2024
Weighted ensemble approach for smoke-like scene classification in remote sensing images.
Signal Image Video Process., September, 2024
A Hybrid Metaheuristic Aware Modified Mobile Net with Enriched Feature Extraction for Covid-19 Severity Detection and Classification.
Wirel. Pers. Commun., May, 2024
FireDL: A novel framework for fire detection and localization suitable for memory constrained IoT devices.
Multim. Tools Appl., May, 2024
$\mathrm SRC_{2}$: a novel deep learning based technique for identifying COVID-19 using images of chest x-ray.
Multim. Tools Appl., April, 2024
Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays.
Biomed. Signal Process. Control., February, 2024
MLDC: multi-lung disease classification using quantum classifier and artificial neural networks.
Neural Comput. Appl., 2024
2023
Secured image storage and transmission technique suitable for IoT using Tangle and a novel image encryption technique.
Multim. Tools Appl., October, 2023
Content-Based Image Retrieval: A Survey on Local and Global Features Selection, Extraction, Representation, and Evaluation Parameters.
IEEE Access, 2023
2022
Segmentation of Epiphysis Region-of-Interest (EROI) using texture analysis and clustering method for hand bone age assessment.
Multim. Tools Appl., 2022
2021
Content-based image retrieval for categorized dataset by aggregating gradient and texture features.
Neural Comput. Appl., 2021
A novel background updation algorithm using fuzzy c-means clustering for pedestrian detection.
Multim. Tools Appl., 2021
2020
2019
Image classification using SURF and bag of LBP features constructed by clustering with fixed centers.
Multim. Tools Appl., 2019
2018
Multim. Tools Appl., 2018
2017
Multim. Tools Appl., 2017
2015
A new local homogeneity analysis method based on pixel intensities for image defect detection.
Proceedings of the 2nd IEEE International Conference on Recent Trends in Information Systems, 2015