Computer Science & Engineering and Information Technology (CSE&IT)

Dr. Yugal Kumar

Dr. Yugal Kumar
Associate Professor
(91)01792-239307
yugal.kumar@juit.ac.in
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Biography :

He received his B. Tech and M. Tech degree from MDU in 2006 and 2009 respectively. He received his Ph.D. degree from Birla Institute of Technology in 2016. His primary area of research includes meta heuristic algorithms, swarm intelligence, pattern recognition, medical data mining and machine learning.

Open Project Titles:

1. Data Clustering

2. Multi Objective Optimization

3. Single Objective Optimization

4. Dimension Reduction

Author Publication Profile:

Publication(s): Click Here to Add New Publication(s)
2023 (1)	2022 (7)	2021 (11)	2020 (15)	2019 (11)	2018 (12)
2017 (4)	All

Journal(s) :

Raghavendra Kumar, Pardeep Kumar, Yugal Kumar (2022). Addressing Stock Market Time Series Trends and Volatility Using Optimized DE-LSTM Model. International Journal of Operational Research, Forthcoming and Online First Articles (In press), pp. 1-7, DOI: 10.1504/IJOR.2021.10044472 [SCOPUS ]. Google Citation
Raghavendra Kumar, Pardeep Kumar, Yugal Kumar (2022). Three stage fusion for effective time series forecasting using Bi-LSTM-ARIMA and improved DE-ABC algorithm. Neural Computing and Applications, 34 (June), pp. 18421-18437, DOI: https://doi.org/10.1007/s00521-022-07431-x [SCOPUS , SCI ]. Google Citation
Raghavendra Kumar, Pardeep Kumar, Yugal Kumar (2022). Two-phase hybridisation using deep learning and evolutionary algorithms for stock market forecasting. International Journal of Grid and Utility Computing, 12 (5-6), pp. 573-589, DOI: 10.1504/IJGUC.2021.120120 [SCOPUS ]. Google Citation
Raghavendra Kumar, Pardeep Kumar, Yugal Kumar (2022). Multi-step time series analysis and forecasting strategy using ARIMA and evolutionary algorithms. International Journal of Information Technology volume, 14 (2022), pp. 359-373, DOI: 10.1007/s41870-021-00741-8 [SCOPUS ]. Google Citation
Arvinder Kaur, Yugal Kumar (2022). A new metaheuristic algorithm based on water wave optimization for data clustering. Evolutionary Intelligence, 15 (2022), pp. 759-783, DOI: 10.1007/s12065-020-00562-x [SCOPUS ]. Google Citation
Raghavendra Kumar, Pardeep Kumar, Yugal Kumar (2022). Integrating big data driven sentiments polarity and ABC-optimized LSTM for time series forecasting. Multimedia Tools and Applications, 2022 (81), pp. 34595-34614, DOI: 10.1007/s11042-021-11029-1 [SCOPUS , SCI ]. Google Citation
Raghavendra Kumar, Pardeep Kumar, Yugal Kumar (2022). Multi-step time series analysis and forecasting strategy using ARIMA and evolutionary algorithms. International Journal of Information Technology (Singapore), 14 (2022), pp. 359-373, DOI: 10.1007/s41870-021-00741-8 [SCOPUS ]. Google Citation

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