Kanu Goel

Kanu Goel
Department Computer Science & Engineering
Designation Assistant Professor
Qualification Ph.D., M.E. (CSE), B.E. (Computer Engineering)
Research Interests Machine Learning, Natural Language Processing, Concept Drift Analysis
Email kanugoel@pec.edu.in ( Official )
kanugoel10@gmail.com ( Personal )
Phone Number

Sr. No. Title
1 Mili Supreet, Kanu Goel, Madhuri Gupta, Automatic Hindi Text Summarization using Selection and Elimination Approach, International Journal of Engineering Applied Sciences and Technology, 2020, Vol. 5, Issue 4, ISSN No. 2455-2143, Pages 259-266
2 Kanu Goel and Shefali Arora, Novel Coronavirus (2019-NCov): Impact of Global Pandemic and Predictive Analysis using Machine Learning, International Journal of Engineering Applied Sciences and Technology, 2020, Vol. 5, Issue 3, ISSN No. 2455-2143, Pages 368-376
3 Manu Goel and Kanu Goel, FP-Growth Implementation Using Tries for Association Rule Mining. In: Deep K. et al. (eds) Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 547. Springer, Singapore, 2017. https://doi.org/10.1007/978-981-10-3325-4_3 (Scopus Indexed)
4 Kanu Goel, A Novel Approach for Morphological Analysis and Inflections Based on POS Tagging. In: Singh J., Kumar S., Choudhury U. (eds) Innovations in Cyber Physical Systems. Lecture Notes in Electrical Engineering, vol 788. Springer, Singapore, 2021, DOI: https://doi.org/10.1007/978-981-16-4149-7_16 (Scopus Indexed)
5 Kanu Goel and Shalini Batra, Prediction Analysis of Forecasting Applications with Concept Drifting Distributions, 2nd International Conference on Artificial Intelligence and Speech Technology (AIST), Delhi, India Taylor and Francis Group, 2020 (Scopus Indexed)