Research

Research Incentives

    • Kalra, V., Kashyap, I., & Kaur, H. (2022). Classification based topic extraction using domain-specific vocabulary: a supervised approach. Indonesian Journal of Electrical Engineering and Computer Science, 26(1), 442-449.
      https://dx.doi.org/10.11591/ijeecs.v26.i1.pp442-449
    • Kalra, V., Kashyap, I., & Kaur, H. (2023). ADS-Classif: A Robust Tool for Classifying Documents from Diverse Sources Using Weighted Domain-Specific Vocabulary. IETE Journal of Research, 1-7. https://doi.org/10.1080/03772063.2023.2177757
    • Sethi, R., Mehrotra, M., Sethi, D., & Mehrotra, G. (2022). Medical Image Augmentation Framework for Resolving Chest X-Ray Data Imbalance. International Journal of Computing and Digital Systems, 12(1), 1161-1170. https://dx.doi.org/10.12785/ijcds/120192
    • Kaur, G. (2022), "Nexus between inflation and fiscal deficit: a comparative study of India and China", Journal of Chinese Economic and Foreign Trade Studies, 15 (2), 193-216. https://doi.org/10.1108/JCEFTS-07-2021-0028
    • Puri, V., Joshi, S., & Devkota, N. (2022). Infrastructure and Climate Change Adaptation in Nepal: An Assessment. Southeast Asian Journal of Economics, 10(3), 1-28. https://so05.tci-thaijo.org/index.php/saje/article/view/262484
    • Malhotra, R., & Khanna, M (2023). On the applicability of search-based algorithms for software change prediction. Int J Syst Assur Eng Manag ,14, 55–73. https://doi.org/10.1007/s13198-021-01099-7
    • Sahoo, B. P., Ashri, D., & Gulati, A. (2022). Drivers of FDI in Emerging Economies: BRICS vs. MINT. International Journal of Advanced and Applied Sciences, 9(9), 118-126. https://doi.org/10.21833/ijaas.2022.09.015
    • Preet, S., Chopra, S., & Gulati, A. (2022). Impact of sustainable development on economic growth: Evidence from OECD countries. JIMS8M The Journal of Indian Management & Strategy, 27(2), 54-61. https://doi.org/10.5958/0973-9343.2022.00014.X
    • Gupta, R., Kumari, S., & Kaur, H. (2021). Role of Industrial Visits in EnhancingLearning Quality of Commerce and Business Students. Turkish Online Journal of Qualitative Inquiry, 12(5).
    • Kalra, V., Kashyap, I., & Kaur, H. (2022). Improving document classification using domain-specific vocabulary: hybridization of deep learning approach with TFIDF. International Journal of Information Technology, 14(5), 2451-2457. https://doi.org/10.1007/s41870-022-00889-x
    • Kalra, V., Kashyap, I., & Kaur, H. (2022). Generation of domain-specific vocabulary set and classification of documents: weight-inclusion approach. International Journal of Information Technology, 14, 275-285. https://doi.org/10.1007/s41870-021-00830-8
    • Khanna, M. (2022). A Systematic Review of Ensemble Techniques for Software Defect and Change Prediction. e-Informatica Software Engineering Journal, 16(1), 220105. https://doi.org/10.37190/e-Inf220105
    • Malhotra, R., & Khanna, M. (2022). A text mining framework for analyzing change impact and maintenance effort of software bug reports. International Journal of Information Retrieval Research (IJIRR), 12(1), 1-18. https://doi.org/10.4018/IJIRR.295974
    • Kaur, S., & Kaur, U. (2021). Blended Learning Framework – Instructor’s perspective and Student’s perspective in Higher Education Institutes. Psychology & Education Journal, 58(2), 2451-2457. https://doi.org/10.17762/pae.v58i2.2626
    • Kaur, G., & Kaur, C. (2020). COVID-19 and the rise of the new experience economy. FIIB Business Review, 9(4), 239-248. https://doi.org/10.1177/2319714520958575
    • Goyal, N., Krishna, S., Shah, K., Rashid, I., & Sharma, G. P. (2021). Integrating the biological invasion paradigm in the policy framework in India. Tropical Ecology, 62, 144-148. https://doi.org/10.1007/s42965-020-00117-2
    • Kaur, H., & Kaur, U. (2019) Digi Locker–Indian Digital Locker, How much the youth is actually using it?. International Journal of Recent Technology and Engineering, 8(4), 11665-11670. https://doi.org/10.35940/ijrte.D9707.118419
    • Goyal, N., & Sharma, G. P. (2019). Unveiling cryptic ecological functions: prospects in plant invasions. Tropical Ecology, 60, 1-5. https://doi.org/10.1007/s42965-019-00002-7
    • Malhotra, R., & Khanna, M. (2019). Dynamic selection of fitness function for software change prediction using particle swarm optimization. Information and Software Technology, 112, 51-67. https://doi.org/10.1016/j.infsof.2019.04.007
    • Malhotra, R., & Khanna, M. (2019). Software change prediction: A systematic review and future guidelines. e-Informatica Software Engineering Journal, 13(1), 227-259. https://doi.org/10.5277/e-Inf190107
    • Goyal, N., & Sharma, G. P. (2019). It takes two to tango: variable architectural strategies boost invasive success of Lantana camara L.(sensu lato) in contrasting light environments. Biological Invasions, 21, 163-174. https://doi.org/10.1007/s10530-018-1813-1
    • Rana, K., Goyal, N., & Sharma, G. P. (2018). Staging stewards of agro-ecosystems in the ecosystem services framework. Ecosystem Services, 33, 89-101. https://doi.org/10.1016/j.ecoser.2018.08.004
    • Goyal, N., Shah, K., & Sharma, G. P. (2018). Does intrinsic light heterogeneity in Ricinus communis L. monospecific thickets drive species’ population dynamics?. Environmental monitoring and assessment, 190, 1-12. https://doi.org/10.1007/s10661-018-6791-3
    • Goyal, N., Esler, K. J., & Sharma, G. P. (2018). What drives performance potential of Lantana camara L.(sensu lato) in the invaded range?. 59, 57-68. (Covered by DST-NRF Centre of Excellence for Invasion Biology,) http://academic.sun.ac.za/cib/news/2018/0619_residence_time.html
    • Malhotra, R., & Khanna, M. (2018). Threats to validity in search‐based predictive modelling for software engineering. IET Software, 12(4), 293-305. https://doi.org/10.1049/iet-sen.2018.5143
    • Malhotra, R., & Khanna, M. (2018). Particle swarm optimization-based ensemble learning for software change prediction. Information and Software Technology, 102, 65-84. https://doi.org/10.1016/j.infsof.2018.05.007