Test case prioritisation during web application testing. - Munish Khanna; Naresh Chauhan; Dilip Kumar Sharma; Abhishek Toofani (Int. J. Comput. Appl. Technol., 2017)

Search for Prioritized Test Cases during Web Application Testing. - Munish Khanna; Naresh Chauhan; Dilip Kumar Sharma (Int. J. Appl. Metaheuristic Comput., 2019)

Multimodal Biometric Based on Fusion of Ridge Features with Minutiae Features and Face Features. - Law Kumar Singh; Munish Khanna; Hitendra Garg (Int. J. Inf. Syst. Model. Des., 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)

A Multi-Objective Approach for Test Suite Reduction During Testing of Web Applications: A Search-Based Approach. - Munish Khanna; Naresh Chauhan; Dilip Kumar Sharma; Law Kumar Singh (Int. J. Appl. Metaheuristic Comput., 2021)

An Artificial Intelligence-Based Smart System for Early Glaucoma Recognition Using OCT Images. - Law Kumar Singh; Pooja; Hitendra Garg; Munish Khanna (Int. J. E Health Medical Commun., 2021)

Performance Comparison of Various Algorithms During Software Fault Prediction. - Munish Khanna; Abhishek Toofani; Siddharth Bansal; Mohammad Asif (Int. J. Grid High Perform. Comput., 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)

An enhanced deep image model for glaucoma diagnosis using feature-based detection in retinal fundus. - Law Kumar Singh; Pooja; Hitendra Garg; Munish Khanna; Robin Singh Bhadoria (Medical Biol. Eng. 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 multimodality based dual fusion integrated approach for efficient and early prediction of glaucoma. - Law Kumar Singh; Munish Khanna; Pooja (Biomed. Signal Process. Control., 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)

Deep learning system applicability for rapid glaucoma prediction from fundus images across various data sets. - Law Kumar Singh; Pooja; Hitendra Garg; Munish Khanna (Evol. Syst., 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)

Histogram of Oriented Gradients (HOG)-Based Artificial Neural Network (ANN) Classifier for Glaucoma Detection. - Law Kumar Singh; Pooja; Hitendra Garg; Munish Khanna (Int. J. Swarm Intell. Res., 2022)

Performance evaluation of various deep learning based models for effective glaucoma evaluation using optical coherence tomography images. - Law Kumar Singh; Pooja; Hitendra Garg; Munish Khanna (Multim. Tools Appl., 2022)

Artificial intelligence based medical decision support system for early and accurate breast cancer prediction. - Law Kumar Singh; Munish Khanna; Rekha Singh (Adv. Eng. Softw., 2023)

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)

Emperor penguin optimization algorithm- and bacterial foraging optimization algorithm-based novel feature selection approach for glaucoma classification from fundus images. - Law Kumar Singh; Munish Khanna; Hitendra Garg; Rekha Singh (Soft Comput., 2024)

Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system. - Law Kumar Singh; Munish Khanna; 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)

An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case. - Law Kumar Singh; Munish Khanna; Rekha Singh (Multim. Tools Appl., 2024)

Feature subset selection through nature inspired computing for efficient glaucoma classification from fundus images. - Law Kumar Singh; Munish Khanna; Rekha Singh (Multim. Tools Appl., 2024)

A three-stage novel framework for efficient and automatic glaucoma classification from retinal fundus images. - Law Kumar Singh; Munish Khanna; Hitendra Garg; Rekha Singh; Md. Iqbal (Multim. Tools Appl., 2024)

Nature-Inspired Algorithms-Based Optimal Features Selection Strategy for COVID-19 Detection Using Medical Images. - Law Kumar Singh; Munish Khanna; Himanshu Monga; Rekha Singh; Gaurav Pandey (New Gener. Comput., 2024)

A novel soft computing based efficient feature selection approach for timely identification of COVID-19 infection using chest computed tomography images: a human centered intelligent clinical decision support system. - Law Kumar Singh; Munish Khanna; Hitendra Garg; Rekha Singh (Multim. Tools Appl., 2025)