Applying Cognitive and Neural Network Approach over Control Flow Graph for Software Defect Prediction. - Kumar Rajnish; Vandana Bhattacharjee; Vishnu Chandrabanshi (IC3, 2021)

Impact of Parameter Tuning for Optimizing Deep Neural Network Models for Predicting Software Faults. - Mansi Gupta; Kumar Rajnish; Vandana Bhattacharjee (Sci. Program., 2021)

Outlier Detection in Wireless Sensor Networks Based on Neighbourhood. - Umang Gupta; Vandana Bhattacharjee; Partha Sarathi Bishnu (Wirel. Pers. Commun., 2021)

Cognitive Complexity and Graph Convolutional Approach Over Control Flow Graph for Software Defect Prediction. - Mansi Gupta; Kumar Rajnish; Vandana Bhattacharjee (IEEE Access, 2022)

A cognitive and neural network approach for software defect prediction. - Kumar Rajnish; Vandana Bhattacharjee (J. Intell. Fuzzy Syst., 2022)

Time series-dependent feature of EEG signals for improved visually evoked emotion classification using EmotionCapsNet. - Nandini Kumari; Shamama Anwar; Vandana Bhattacharjee (Neural Comput. Appl., 2022)

Automated visual stimuli evoked multi-channel EEG signal classification using EEGCapsNet. - Nandini Kumari; Shamama Anwar; Vandana Bhattacharjee (Pattern Recognit. Lett., 2022)

Increasing the Prediction Accuracy for Thyroid Disease: A Step Towards Better Health for Society. - Ritesh Jha; Vandana Bhattacharjee; Abhijit Mustafi (Wirel. Pers. Commun., 2022)

Cloud and Big Data Security System's Review Principles: A Decisive Investigation. - Kamta Nath Mishra; Vandana Bhattacharjee; Shashwat Saket; Shivam P. Mishra (Wirel. Pers. Commun., 2022)

Feature Representation Repository for Defect Prediction. - Mansi Gupta; Kumar Rajnish; Vandana Bhattacharjee (IEEE DataPort, 2022)

StockNet - GRU based stock index prediction. - Umang Gupta; Vandana Bhattacharjee; Partha Sarathi Bishnu (Expert Syst. Appl., 2022)

SSCLNet: A Self-Supervised Contrastive Loss-Based Pre-Trained Network for Brain MRI Classification. - Animesh Mishra; Ritesh Jha; Vandana Bhattacharjee (IEEE Access, 2023)

A Comparative Analysis of Machine and Deep Learning Techniques for EEG Evoked Emotion Classification. - Nandini Kumari; Shamama Anwar; Vandana Bhattacharjee (Wirel. Pers. Commun., 2023)

Enhanced Graph Representations for Graph Convolutional Network Models. - Vandana Bhattacharjee; Raj Sahu; Amit Dutta (Multim. Tools Appl., 2023)

DeepCOVNet Model for COVID-19 Detection Using Chest X-Ray Images. - Vandana Bhattacharjee; Ankita Priya; Nandini Kumari; Shamama Anwar (Wirel. Pers. Commun., 2023)

Visually evoked brain signals guided image regeneration using GAN variants. - Nandini Kumari; Shamama Anwar; Vandana Bhattacharjee; Sudip Kumar Sahana (Multim. Tools Appl., 2023)

Security provisions in smart edge computing devices using blockchain and machine learning algorithms: a novel approach. - Kamta Nath Mishra; Vandana Bhattacharjee; Shashwat Saket; Shivam P. Mishra (Clust. Comput., 2024)

Software fault prediction with imbalanced datasets using SMOTE-Tomek sampling technique and Genetic Algorithm models. - Mansi Gupta; Kumar Rajnish; Vandana Bhattacharjee (Multim. Tools Appl., 2024)

Towards development of the first continuous speech recognition system in Indian language Nagpuri. - Shubhojeet Paul; Vandana Bhattacharjee; Sujan Kumar Saha (Int. J. Speech Technol., 2025)

An End-to-End Continuous Speech Recognition System in Bengali for General and Elderly Domain. - Shubhojeet Paul; Vandana Bhattacharjee; Sujan Kumar Saha (SN Comput. Sci., 2025)

A novel CNN-GRU-LSTM based deep learning model for accurate traffic prediction. - Vandana Singh; Sudip Kumar Sahana; Vandana Bhattacharjee (Discov. Comput., 2025)