Machine learning and IoT-based model for patient monitoring and early prediction of diabetes. - Navneet Verma; Sukhdip Singh; Devendra Prasad (Concurr. Comput. Pract. Exp., 2022)

Performance analysis and comparison of Machine Learning and LoRa-based Healthcare model. - Navneet Verma; Sukhdip Singh; Devendra Prasad (Neural Comput. Appl., 2023)

Enhancing android application security: A novel approach using DroidXGB for malware detection based on permission analysis. - Pawan Kumar; Sukhdip Singh (Secur. Priv., 2024)

Security Testing of Android Apps Using Malware Analysis and XGboost Optimized by Adaptive Particle Swarm Optimization. - Pawan Kumar; Sukhdip Singh (SN Comput. Sci., 2024)

An Efficient Security Testing for Android Application Based on Behavior and Activities Using Improved PCA and DNN-KNN Classifier. - Pawan Kumar; Sukhdip Singh (Wirel. Pers. Commun., 2024)

CovLIS-MUnet segmentation model for Covid-19 lung infection regions in CT images. - Manju Devi; Sukhdip Singh; Shailendra Tiwari (Neural Comput. Appl., 2024)

An efficient security testing mechanism for Android Apps based on malware analysis and optimized XGBoost. - Pawan Kumar; Sukhdip Singh; Suman (Multim. Tools Appl., 2024)

PRAZdroid: A Novel Approach to Risk Assessment and Zoning of Android Applications based on Permissions. - Anuradha Dahiya; Sukhdip Singh; Gulshan Shrivastava (Scalable Comput. Pract. Exp., 2025)

Android malware analysis and detection: A systematic review. - Anuradha Dahiya; Sukhdip Singh; Gulshan Shrivastava (Expert Syst. J. Knowl. Eng., 2025)

An efficient security testing for android application based on behavior and activities using RFE-MLP and ensemble classifier. - Pawan Kumar; Sukhdip Singh (Multim. Tools Appl., 2025)