Faculty Name | Department | Title |
---|---|---|
Jagdish Kumar | Electrical Engineering | Jagdish Kumar, Pramod Agarwal and Biswarup Das, “Implementation of Cascade Multilevel Inverter Based STATCOM”, IETE Journal of Research, vol. 56, issue 2, pp. 119-128, March-April 2010. |
Jagdish Kumar | Electrical Engineering | Jagdish Kumar, Biswarup Das and Pramod Agarwal, “Optimized Switching Scheme of a Cascade Multilevel Inverter”, Electric Power Components and Systems, vol. 38, issue 4, pp. 445-464, January 2010. |
Rupali Verma | Computer Science & Engineering | Using deep learning for the prediction of mixing patterns in two component-colored solutions as a proxy to dispersion in nanocomposite coatings, Journal of Dispersion Science and Technology,2023, DOI: 10.1080/01932691.2023.2178453 |
Rupali Verma | Computer Science & Engineering | Modified residual networks for severity stage classification of diabetic retinopathy. Evolving Systems 14, 17–35 (2023). https://doi.org/10.1007/s12530-022-09427-3 |
Rupali Verma | Computer Science & Engineering | Smart City Healthcare Cyber Physical System: Characteristics, Technologies and Challenges. Wireless Pers Commun 122, 1413–1433 (2022). https://doi.org/10.1007/s11277-021-08955-6. |
Rupali Verma | Computer Science & Engineering | A review on sentiment analysis and emotion detection from text. Soc. Netw. Anal. Min. 11, 81 (2021). https://doi.org/10.1007/s13278-021-00776-6. |
Dhiraj Bharat | Electrical Engineering | Chatterjee, J.K.; Subramanian, S.; Bharat, D.; Das, S., "Performance improvement in selective harmonic compensation of Shunt Hybrid Active Filter," International Conference on Power and Energy Systems (ICPS), 2011, vol., no., pp.1-6, 22-24 Dec. 2011. |
Rupali Verma | Computer Science & Engineering | Aggregated residual transformation network for multistage classification in diabetic retinopathy, International Journal of Imaging Systems and Technology 2021, Vol 31(2) pp 741-752. https://doi.org/10.1002/ima.22513 |
Rupali Verma | Computer Science & Engineering | A Review of Statistical and Machine Learning Techniques for Microvascular Complications in Type 2 Diabetes Current Diabetes Reviews, Volume 17, Number 2, 2021, pp. 143-155(13) Bentham Science Publishers DOI: https://doi.org/10.2174/1573399816666200511003357 |
Rupali Verma | Computer Science & Engineering | Microvascular Complications in Type-2 Diabetes: A Review of Statistical Techniques and Machine Learning Models. Wireless Pers Commun 115, 1–26 (2020). https://doi.org/10.1007/s11277-020-07552-3 |