Kaur, P., & Arora, G. K. (2023). Exploring Psychological and Socio-Economic Impact of Covid 2019 on Healthcare Workers in India: Evidence from Delhi-NCR Hospitals. Journal of Ecophysiology and Occupational Health, Vol. 23(3), 163–185.
https://doi.org/10.18311/jeoh/2023/33316
Kaur, P., Arora, G. K., & Aggarwal, A. (2023). Psycho-Social Impact of COVID-2019 on Work-Life Balance of Health Care Workers in India: A Moderation-Mediation Analysis. International Journal of Experimental Research and Review, 35, 62–82.
https://doi.org/10.52756/ijerr.2023.v35spl.007
Tandon , P., Singh, R.K. , Singh , B., Singh , A.B.,& Kaur, P. Metaverse the Next Renaissance of Financial Inclusion: Scientific Mapping and Future Research Directions’. Journal of Content Community & Communication , Vol. 17.
https://doi.org/10.31620/JCCC.09.23/14
Gill , k., kumar, H., & Kumar, A.S. (2023).Evaluating the Efficiency of the Global Cryptocurrency Market’, Indian Journal of Finance , Vol. 17(11).
https://doi.org/10.17010/ijf/2023/v17i11/173325
Kumar, A.S ., Gill ,K.,& Kalra, S .(2024), Evaluation of Nexus Between Short-Run Return Measures of IPOs in India’, Indian Journal of Finance, Vol. 17(4).
https://doi.org/10.17010/ijf/2023/v17i4/172696
Puri, V., Kaur, G., Kalra, J. K., & Gill, K. (2023). Bank stability and digitalisation: empirical evidence from selected Indian banks. Journal of Economic and Administrative Sciences.
https://doi.org/10.1108/JEAS-07-2022-0172
Gupta, M., Aggarwal, P. K., & Gupta, R. (2023). Corporate Sustainability with Forensic Auditing: An Evidence from India. International Journal of Experimental Research and Review, 35, 128–137.
https://doi.org/10.52756/ijerr.2023.v35spl.012
Raheja , S ., Gupta ,R ., & Yadav ,G. (2024) Spiritual Intelligence, happiness and success of students in select higher education institutions of University of Delhi’, Environment and Social Psychology , Vol. 9(6).
https://doi.org/10.54517/esp.v9i6.1984
Kaur, B., & Batra, N. K. (2023). Technology adoption of digital banking and women consumers: An empirical investigation. International Journal of Experimental Research and Review, 32, 278–287.
https://doi.org/10.52756/ijerr.2023.v32.024
Kaur , U., Chautani, N .,& Handa ,P. (2023) .E-learning for Undergraduate Students amid the Pandemic: Teachers’ Perspective’, Journal of Engineering Education Transformations (Scopus indexed), Vol 37(2),93-105.
https://doi.org/10.17509/ajsee.v1i2.33384
Thapa, R.,Devkota, N.,Dhakal, K.,Puri, V.,Mahato, S.,& Paudel, U.R. (2023), “Evaluation of building construction permission certificate and customer satisfaction in Lalitpur city: evidence from structural equation modeling”, Journal of Economic and Administrative Sciences.
https://doi.org/10.1108/JEAS-01-2023-0025
Goyal, N., Tripathy, M.,& Singh, V. et al. (2023). Transformative Potential of Higher Education Institutions in Fostering Sustainable Development in India. Anthr. Sci. 2, 112–122 .
https://doi.org/10.1007/s44177-023-00061-5
Khanna, M.,& Bansal ,A. An Assessment of Heterogenous Ensemble Classifiers for Analyzing Change-proneness in Open-source Software Systems’, Journal of Software: Evolution and Process, Vol. 36, No. 8.
https://doi.org/10.1002/smr.2660
Sahi , S.K., & Khurana , M.K. (2023). Understanding Relationship Between Carbon Emissions And Internet Penetration In Order To Promote Environment Sustainability. Journal for ReAttach Therapy and Developmental Diversities. 6, 7s , 1020–1030.
https://doi.org/10.53555/jrtdd.v6i7s.2658.
Chopra , M.,& Gupta , V. (2023) . An effectiveness measurement model for knowledge management – a balanced scorecard perspective, International Journal of Business and Globalisation , Vol. 35, No. 4.
https://doi.org/10.1504/IJBG.2023.135868
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
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
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