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Prof. M.S. Smitha Rao
Prof. M.S. Smitha Rao
Program Chair
B.Tech (Hons) - Computer Science
and Engineering (Data Science)
Professor of Data Science,
School of Computational and Data Sciences
Selected Publications
  • Smitha Rao, Nagesh Poojary, J.F.Thomas,“Technology Assisted Contextualized Collaborative Learning Environment (TACCLE)”, Learning International Networks Consortium (LINC),MIT, Cambridge,USA, May 2010.
  • Smitha Rao, Pratima Bhat, “Evaluation of Lossless Compression Techniques”,4thIEEE International Conference on Communication and Signal Processing-ICCSP115, ISBN 978-1-4799-8080-2,IEEE Xplore,Melmaruvathur, Tamilnadu, India, April 2-4, 2015.
  • Smitha Rao, Srivatsala V, Suneetha V, “Optimizing Technical Eco-System of Digital Marketing”, Joint International Conference on Communication, Computing and Power Technologies – ICCCPT 2015 Artificial Intelligence and Evolutionary Computation in Engineering Systems – ICAIECES 2015, Springer AISC Series, Chennai, India April 2015
  • Smitha Rao M S, Pallavi M and Geetha N, “Conceptual Machine Learning Framework for Initial Data Analysis”, Second International Research Symposium on Computing and Network Sustainability (IRSCNS 2018), Springer LNNS Series. ISSN: 2367-3370, Goa, India, August 30-31, 2018
  • Bansal, M., Hans, A.S.A., Rao, S., Lakkavalli, V. (2022).“ Hybrid Approach for Deep Noise Suppression Using Deep Neural Networks”,Evolutionary Computing and Mobile Sustainable Networks. Lecture Notes on Data Engineering and Communications Technologies, vol 116. Springer, Singapore. Read More
  • Arnold Sachith A Hans and Smitha Rao,“Analysis Of AI Based Face Detection Techniques”, Journal of Engineering Sciences, ISSN NO:0377-9254, Vol 10, Issue 12, pp 815 – 821, Dec 2019
  • Saahil Afaq, Smitha Rao, “Significance of epochs on Training a Neural Network”, International Journal Of Scientific & Technology Research, ISSN 2277-8616, vol. 9, Issue 06, pp. 485- 488, Jun 2020
  • Subhadeep Guchhait, Smitha Rao, “Analyzing the Impact of Mini-Batch Size in Optimizing the performance of Deep Neural Networks ”, IJAST, ISSN 22076360 vol. 29, no. 05, pp. 13074-13081, Jun. 2020
  • Mitali Halder, Smitha Rao, “RNN Power to incorporate Discourse in Natural Language Generation”, Journal of Technology, ISSN No: 1012-3407 Volume: 35, Issue: 03, pp. 180-185, Sep 2020.

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