Security and Privacy of Blockchain-Based Single-Bit Cache Memory Architecture for IoT Systems. - Reeya Agrawal; Neetu Faujdar; Pradeep Kumar 004; Anjan Kumar (IEEE Access, 2022)

Binning-Based Silhouette Approach to Find the Optimal Cluster Using K-Means. - Akash Punhani; Neetu Faujdar; Krishn Kumar Mishra; Manoharan Subramanian (IEEE Access, 2022)

ZSS Signature-Based Audit Message Verification Process for Cloud Data Integrity. - Paromita Goswami; Neetu Faujdar; Somen Debnath; Ajoy Kumar Khan; Ghanshyam Singh (IEEE Access, 2023)

Correction to: Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree. - Surjeet Dalal; Umesh Kumar Lilhore; Neetu Faujdar; Sarita Simaiya; Manel Ayadi 001; Nouf Abdullah Almujally; Amel Ksibi (J. Cloud Comput., 2023)

Gynaecological Disease Diagnosis Expert System (GDDES) Based on Machine Learning Algorithm and Natural Language Processing. - Sumana De; Paromita Goswami; Neetu Faujdar; Ghanshyam Singh (IEEE Access, 2024)

Stub Signature-Based Efficient Public Data Auditing System Using Dynamic Procedures in Cloud Computing. - Paromita Goswami; Neetu Faujdar; Ghanshyam Singh; Kanta Prasad Sharma; Ajoy Kumar Khan; Somen Debnath (IEEE Access, 2024)

ProtienCNN-BLSTM: An efficient deep neural network with amino acid embedding-based model of protein sequence classification and biological analysis. - Umesh Kumar Lilhore; Sarita Simaiya; Surjeet Dalal; Neetu Faujdar; Yogesh Kumar Sharma; K. B. V. Brahma Rao; V. V. R. Maheswara Rao; Shilpi Tomar; Ehab Seif Ghith; Mehdi Tlija (Comput. Intell., 2024)

Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach. - Umesh Kumar Lilhore; Surjeet Dalal; Neetu Faujdar; Sarita Simaiya; Mamta Dahiya; Shilpi Tomar; Arshad Hashmi (Multim. Tools Appl., 2024)

Investigation on storage level data integrity strategies in cloud computing: classification, security obstructions, challenges and vulnerability. - Paromita Goswami; Neetu Faujdar; Somen Debnath; Ajoy Kumar Khan; Ghanshyam Singh (J. Cloud Comput., 2024)

Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation. - Umesh Kumar Lilhore; Sarita Simaiya; Surjeet Dalal; Neetu Faujdar; Roobaea Alroobaea; Majed Alsafyani; Abdullah M. Baqasah; Sultan Abdullah Algarni (J. Cloud Comput., 2024)

Optimizing protein sequence classification: integrating deep learning models with Bayesian optimization for enhanced biological analysis. - Umesh Kumar Lilhore; Sarita Simiaya; Musaed A. Alhussein; Neetu Faujdar; Surjeet Dalal; Khursheed Aurangzeb (BMC Medical Informatics Decis. Mak., 2024)

Development of an Intelligent System for Enhanced Maintenance of Automobiles using Machine Learning. - Neeraj Dahiya; Edeh Michael Onyema; Venkataramaiah Gude; Neetu Faujdar; Gaytri Devi; Reenu Batra (Scalable Comput. Pract. Exp., 2025)

Enhancing thyroid disease prediction with improved XGBoost model and bias management techniques. - Surjeet Dalal; Umesh Kumar Lilhore; Neetu Faujdar; Sarita Simaiya; Akshat Agrawal; Uma Rani; Anand Mohan (Multim. Tools Appl., 2025)