Classification of masses in digital mammograms using Biogeography-based optimization technique. - Shankar Thawkar; Ranjana Ingolikar (J. King Saud Univ. Comput. Inf. Sci., 2020)

Classification of Masses in Digital Mammograms Using the Genetic Ensemble Method. - Shankar Thawkar; Ranjana Ingolikar (J. Intell. Syst., 2020)

Breast cancer prediction using a hybrid method based on Butterfly Optimization Algorithm and Ant Lion Optimizer. - Shankar Thawkar; Satish Sharma; Munish Khanna; Law Kumar Singh (Comput. Biol. Medicine, 2021)

Multi-objective techniques for feature selection and classification in digital mammography. - Shankar Thawkar; Law Kumar Singh; Munish Khanna (Intell. Decis. Technol., 2021)

Robustness for Authentication of the Human Using Face, Ear, and Gait Multimodal Biometric System. - Law Kumar Singh; Munish Khanna; Shankar Thawkar; Jagadeesh Gopal (Int. J. Inf. Syst. Model. Des., 2021)

A hybrid model using teaching-learning-based optimization and Salp swarm algorithm for feature selection and classification in digital mammography. - Shankar Thawkar (J. Ambient Intell. Humaniz. Comput., 2021)

Collaboration of features optimization techniques for the effective diagnosis of glaucoma in retinal fundus images. - Law Kumar Singh; Munish Khanna; Shankar Thawkar; Rekha Singh (Adv. Eng. Softw., 2022)

A novel hybrid robust architecture for automatic screening of glaucoma using fundus photos, built on feature selection and machine learning-nature driven computing. - Law Kumar Singh; Munish Khanna; Shankar Thawkar (Expert Syst. J. Knowl. Eng., 2022)

Performance Evaluation of Machine Learning Algorithms for Stock Price and Stock Index Movement Prediction Using Trend Deterministic Data Prediction. - Munish Khanna; Mohak Kulshrestha; Law Kumar Singh; Shankar Thawkar; Kapil Shrivastava (Int. J. Appl. Metaheuristic Comput., 2022)

Breast cancer: A hybrid method for feature selection and classification in digital mammography. - Shankar Thawkar; Vijay Katta; Ajay Raj Parashar; Law Kumar Singh; Munish Khanna (Int. J. Imaging Syst. Technol., 2023)

Deep learning based computer-aided automatic prediction and grading system for diabetic retinopathy. - Munish Khanna; Law Kumar Singh; Shankar Thawkar; Mayur Goyal (Multim. Tools Appl., 2023)

Nature-inspired computing and machine learning based classification approach for glaucoma in retinal fundus images. - Law Kumar Singh; Munish Khanna; Shankar Thawkar; Rekha Singh (Multim. Tools Appl., 2023)

PlaNet: a robust deep convolutional neural network model for plant leaves disease recognition. - Munish Khanna; Law Kumar Singh; Shankar Thawkar; Mayur Goyal (Multim. Tools Appl., 2024)

Deep-learning based system for effective and automatic blood vessel segmentation from Retinal fundus images. - Law Kumar Singh; Munish Khanna; Shankar Thawkar; Rekha Singh (Multim. Tools Appl., 2024)

A novel hybridized feature selection strategy for the effective prediction of glaucoma in retinal fundus images. - Law Kumar Singh; Munish Khanna; Shankar Thawkar; Rekha Singh (Multim. Tools Appl., 2024)

Correction to: Features fusion based novel approach for efficient blood vessel segmentation from fundus images. - Law Kumar Singh; Munish Khanna; Dheeraj Mansukhani; Shankar Thawkar; Rekha Singh (Multim. Tools Appl., 2024)