Assured Supraliminal Steganography in Computer Games. - Anton Mosunov; Vineet Sinha; Heather Crawford; John Aycock; Daniel Medeiros Nunes de Castro; Rashmi Kumari (WISA, 2013)

A Novel Approach of Restoration of Digital Images Degraded by Impulse Noise. - Rashmi Kumari; Anupriya Asthana; Vikas Kumar 005 (Int. J. Comput. Vis. Image Process., 2014)

g_mmpbsa - A GROMACS Tool for High-Throughput MM-PBSA Calculations. - Rashmi Kumari; Rajendra Kumar 003; Andrew M. Lynn (J. Chem. Inf. Model., 2014)

Performance Analysis of Linux RNG in Virtualized Environments. - Rashmi Kumari; Mohsen Alimomeni; Reihaneh Safavi-Naini (CCSW, 2015)

Anomaly detection in network traffic using K-mean clustering. - Rashmi Kumari; Sheetanshu; M. K. Singh; R. Jha; N. K. Singh (RAIT, 2016)

Work-in-Progress: Towards Efficient and Scalable Big Data Analytics: Mapreduce vs. RDD's. - Sheetanshu Srivastava; Akriti Nigam; Rashmi Kumari (ICIT, 2017)

Enhanced Predictive Modeling of Cricket Game Duration Using Multiple Machine Learning Algorithms. - Shivam Tyagi; Rashmi Kumari; Sarath Chandra Makkena; Swayam Swaroop Mishra; Vishnu S. Pendyala (ICDSE, 2020)

Hospitality Industry 4.0 - Customize and Optimize Real-Time Allocation of Rooms. - Vijayarangan Natarajan; Rashmi Kumari; Sakthi Priya M (CSCI, 2022)

An efficient combination of quadruple biomarkers in binary classification using ensemble machine learning technique for early onset of Alzheimer disease. - Rashmi Kumari; Akriti Nigam; Shashank Pushkar (Neural Comput. Appl., 2022)

Assessing Customer Retail Data Through the Application of Various Clustering Algorithms. - Subhranil Das; Rashmi Kumari; Raghwendra Kishore Singh (ICACDS, 2024)

P2E-LGAN: PPG to ECG Reconstruction Methodology using LSTM based Generative Adversarial Network. - Rashmi Kumari; Surita Sarkar; Debeshi Dutta; Pabitra Das; Amit Acharyya (ISCAS, 2024)

ECHO: Environmental Sound Classification with Hierarchical Ontology-guided Semi-Supervised Learning. - Pranav Gupta; Raunak Sharma; Rashmi Kumari; Sri Krishna Aditya; Shwetank Choudhary; Sumit Kumar; Kanchana M; Thilagavathy R (CoRR, 2024)

Agglomeration of deep learning networks for classifying binary and multiclass classifications using 3D MRI images for early diagnosis of Alzheimer's disease: a feature-node approach. - Rashmi Kumari; Subhranil Das; Raghwendra Kishore Singh (Int. J. Syst. Assur. Eng. Manag., 2024)

A Novel Deep-Learning Method for Obstructive Sleep Apnea Detection from Single Channel Photoplethysmography. - Prateek Agrawal; Rashmi Kumari; Pabitra Das; Surita Sarkar; Amit Acharyya (ISCAS, 2025)

A Novel Methodology for Obstructive Sleep Apnea Detection from ECG using Deep Learning Approach. - Rashmi Kumari; Prateek Agrawal; Surita Sarkar; Pabitra Das; Amit Acharyya (ISCAS, 2025)

XVPE-Net: A Novel Methodology for Interpretable Vital Parameter and Cuffless Blood Pressure Estimation from PPG Signal. - Rahul Verma; Pabitra Das; Surita Sarkar; Prateek Agrawal; Rashmi Kumari; Amit Acharyya (ISCAS, 2025)

Deep Learning Based Stress Assessment Using PPG Signals from WESAD Dataset. - Srejita Chakraborty; Rashmi Kumari; Pabitra Das; Surita Sarkar; Souris Sahu; Saurabh Pal 003; Amit Acharyya (NewCAS, 2025)

Advancements in computational emotion recognition: a synergistic approach with the emotion facial recognition dataset and RBF-GRU model architecture. - Subhranil Das; Rashmi Kumari; Raghwendra Kishore Singh (Int. J. Syst. Assur. Eng. Manag., 2025)

Multimodal diagnosis of Alzheimer's disease based on volumetric and cognitive assessments. - Rashmi Kumari; Subhranil Das; Akriti Nigam; Raghwendra Kishore Singh (Multim. Tools Appl., 2025)