Annual Accreditation Information: Publications

Displaying 1901 - 1910 of 2292 Publications
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