1. Chitra Mehra & Rashmi Agrawal. (2021). Design and development of hybrid principal component analysis (HPCA) algorithm for academic performance prediction, Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/ Journal of Tianjin University Science and Technology, 54(6). doi:https://doicatalog.org/19.4102/jtus.v54i6.3477 (Scopus)
2. Chaudhary, P., & Agrawal, R. (2021). Sensory motor imagery EEG classification based on non-dyadic wavelets using dynamic weighted majority ensemble classification. Intelligent Decision Technologies, 15(1), 33-43 (SCOPUS and Web of Science indexed)
3. A Novel Big Data Framework in Industry 4.0, Open Computer Science, De Gruyter(accepted)
4. An Upgraded Model of Query Expansion Using Inverse- Term Frequency (ITF) With pertinent Response For Internet of Things, International Journal of Internet Technology and Secured Transactions, Inderscience, 2020 (SCOPUS and Web of Science indexed)
5. Vaishali Kalra, Rashmi Agrawal , Sentiment Classification Using Feature Selection Techniques for Text Data Composed from Heterogeneous sources, Recent Patents in Computer Science , Bentham Science Publishers 2020 (SCOPUS and Web of Science indexed)
6. Palvadi Srinivas Kumar, Abhishek Kumar, Rashmi Agrawal, Pramod Singh Rathore Designing Smart Cart Application with Zig-Bee and RFID Protocols, Recent Patents in Computer Science , Bentham Science Publishers 2020 (SCOPUS and Web of Science indexed)
7. Dubey, A.K., Kumar, A. & Agrawal, R. An efficient ACO-PSO-based framework for data classification and preprocessing in big data. Evol. Intel. (2020). https://doi.org/10.1007/s12065-020-00477-7(SCOPUS and Web of Science indexed)
8. Chitra Mehra, Dr. Rashmi Agrawal. (2020). Comparative Study of Resampling Techniques of Imbalanced Dataset. International Journal of Advanced Science and Technology, 29(3), 12699 - 12710.
9. Vaishali Kalra, Rashmi Agrawal, “Effect of Supervised and Unsupervised Algorithm for Cross Domain Sentiment Analysis A Broad Coverage of Corpus for Understanding Translation Divergences”, International Journal of Innovative Technology and Exploring Engineering, Volume-9 Issue-8, June 2020 (SCOPUS indexed)
10. Chaudhary, Poonam, and Rashmi Agrawal. "Non-dyadic wavelet decomposition for sensory-motor imagery EEG classification." Brain-Computer Interfaces (2020): 1-11. (SCOPUS and Web of Science indexed)
11. Simran Kaur, Rashmi Agrawal, “Corpus Augmentation for Neural Machine Translation with English-Punjabi Parallel Corpora”, International Journal on Emerging Technologies , Vol 11, Issue 1, 2020 (SCOPUS indexed)
12. Vaishali Kalra, Rashmi Agrawal, “Improvement in Text Categorization Using Semi-Supervised Approach and Lexical Chains”, Journal of Theoretical and Nanoscience, Vol 16, Issue 12, 2019 (SCOPUS indexed)
13. Chaudhary, Poonam, and Rashmi Agrawal , “A Comparative study of linear and non-linear classifiers in SMI based Brain Computer Interface”, Journal of Theoretical and Nanoscience, Vol 16, Issue 12, 2019 (SCOPUS indexed)
14. Rashmi Agrawal, “Predictive Analysis Of Breast Cancer Using Machine Learning Techniques”, Ingeniería Solidaria, Vol 15, Issue 29 (1-23), 2019 (Web of Science)
15. Utilization of Infrared Warm Imaging for the Fast Analysis of Yield Illness, International Journal of Engineering and Advanced Technology, 2019 (SCOPUS indexed)
16. Simran kaur, Rashmi Agrawal, “A Broad Coverage of Corpus for Understanding Translation Divergences”, International Journal of Innovative Technology and Exploring Engineering, Volume-8 Issue-8S2, June 2019 (SCOPUS indexed)
17. Comparative Study On Web Service Data Interchange Formats, Official Journal of Institute of Integrated Omics and Applied Biotechnology (IIOAB), Vol 10, Issue 2, 2019 (ESCI Indexed)
18. Emerging Threats to Security and Privacy in Brain Computer Interface, International Journal of Advanced Studies of Scientific Research , Vol 3 Issue 12, 2018 (SSRN)
19. Improvement In Machine Translation From English To Punjabi By Identifying The Morpheme Boundaries, Journal of Emerging Technologies and Innovative Research , Vol 5, Issue 8, 2018
20. Design of Knowledge Based Analytical Model for Organizational Excellence, International Journal of Knowledge-Based Organizations (IJKBO), Vol 9, Issue 1, 2018
21. A Detailed Analysis of Classification Techniques in Data Mining, International Journal of Advanced Trends in Computer Applications vol 4, Issue 4, June 2017
22. Extensions of k-Nearest Neighbor Algorithm, Research Journal of Applied Sciences, Engineering and Technology Vol 13 issue 1, pp 24-29, July, 2016
23. Design and Development of Data Classification Methodology for Uncertain Data, Indian Journal of Science and Technology, Vol 9 Issue 3, January, 2016 (SCOPUS indexed)
24. A Modified K-Nearest Neighbor Algorithm Using Feature Optimization, International Journal of Engineering and Technology, Vol 8 Issue 1, pp 28-37, March 2016 (SCOPUS indexed)
25. K-Nearest Neighbor for Uncertain Data, International Journal of Computer Applications, Vol 105 No 11, pp. 13-16, November 2014
26. A Comparative study on Congestion control strategies on ATM networks , EKANSH, journal of GNIT group of Institution, January 2011
27. A detailed study on Text Mining Techniques, International Journal of Soft Computing and Engg, Vol 2, Issue 6, pp. 118-121, January 2013
28. Survey of Uncertain Data Mining Techniques, International Journal of Advance Research in Education, Technology & Management, Vol 3, No 1, pp. 252-256, April 2015
29. A modified Hill Climbing Algorithm, International Journal of Emerging trends in Engg and Development Vol 6, Issue 2, pp. 663-667, September 2012
30. Development of Association Rule based Prediction Model for web documents, International Journal of Computer Science and Technology, Vol 3,Issue 1 March 2012
31. An Efficient Approach on Object Oriented Design using Genetic Algorithm, International Journal of Computer Applications, Vol 19, No. 6, pp. 18-23 April 2011
32. Securing Information Network, Oriental Journal of Computer Science and Technology, vol 4, Issue 1, pp. 75-82, February 2011
33. A Detailed Analysis of core NLP for information Extraction, International Journal of Machine Learning and Networked Collaborative Engineering (2017): 33-47