Shankar Thawkar
Orcid: 0000-0002-0118-9605
According to our database1,
Shankar Thawkar
authored at least 16 papers
between 2020 and 2024.
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Bibliography
2024
A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images.
Multim. Tools Appl., May, 2024
Features fusion based novel approach for efficient blood vessel segmentation from fundus images.
Multim. Tools Appl., May, 2024
Deep-learning based system for effective and automatic blood vessel segmentation from Retinal fundus images.
Multim. Tools Appl., January, 2024
PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition.
Multim. Tools Appl., January, 2024
2023
Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images.
Multim. Tools Appl., November, 2023
Deep learning based computer-aided automatic prediction and grading system for diabetic retinopathy.
Multim. Tools Appl., October, 2023
Breast cancer: A hybrid method for feature selection and classification in digital mammography.
Int. J. Imaging Syst. Technol., September, 2023
2022
Performance Evaluation of Machine Learning Algorithms for Stock Price and Stock Index Movement Prediction Using Trend Deterministic Data Prediction.
Int. J. Appl. Metaheuristic Comput., 2022
A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning-nature driven computing.
Expert Syst. J. Knowl. Eng., 2022
Collaboration of features optimization techniques for the effective diagnosis of glaucoma in retinal fundus images.
Adv. Eng. Softw., 2022
2021
A hybrid model using teaching-learning-based optimization and Salp swarm algorithm for feature selection and classification in digital mammography.
J. Ambient Intell. Humaniz. Comput., 2021
Robustness for Authentication of the Human Using Face, Ear, and Gait Multimodal Biometric System.
Int. J. Inf. Syst. Model. Des., 2021
Multi-objective techniques for feature selection and classification in digital mammography.
Intell. Decis. Technol., 2021
Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer.
Comput. Biol. Medicine, 2021
2020
J. Intell. Syst., 2020
Classification of masses in digital mammograms using Biogeography-based optimization technique.
J. King Saud Univ. Comput. Inf. Sci., 2020