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Research and Innovation:
Publications

BITS places a premium on innovation by transforming ideas into a sustained commitment to research and knowledge creation. Furthermore, we emphasise contribution through novel and useful patentable inventions.

Know more about the publications we hold across various departments

BITS emphasises innovation by translating ideas into a continuous commitment to research and knowledge creation. In addition, we also emphasise contribution through the novel and useful patentable inventions. 

13247

PILANI

7322

HYDERABAD

4638

GOA

1685

DUBAI

“Sentiment Analysis and Prediction of Point of Interest based Visitors’ Review”, Accepted in Springer, Scopus and Web of Science indexed  International Conference on Modelling, Simulation & Intelligent Computing, Jan 2020, BITS-Pilani, Dubai.


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“Star Schema Based Data Warehouse Model for Education System using Mondrian and Pentaho”, Accepted in Springer, Scopus and Web of Science indexed  International Conference on Modelling, Simulation & Intelligent Computing, Jan 2020, BITS-Pilani, Dubai.


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“Android App Success Prediction Based On Reviews”, Accepted in IEEE International Conference on Computation, Automation and Knowledge Management (ICCAKM – 2020), Jan 2020, Amity University, Dubai.


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“Multi-Angle Parking Detection System using Mask R-CNN”, Accepted in ACM, Ei Compendex and Scopus, ISI Web of Science, International Conference on Big Data Engineering and Technology BDET-20, Jan 2020 in Singapore.


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“2-way Arabic Sign Language translator using CNNLSTM architecture and NLP”, Accepted in ACM, Ei Compendex and Scopus, ISI Web of Science, International Conference on Big Data Engineering and Technology BDET-20, Jan 2020 in Singapore.


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Cloud-based electricity consumption analysis using neural network. International Journal of Computer Applications in Technology, 62(1), 45-56.


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An efficient approach for cement strength prediction. International Journal of Computers and Applications, 1-11.


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Clustering and analysis of electricity consumption patterns in educational building. J. Eng. Technol, 6(2), 537-547.


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Analysis of Large Deviations Behavior of Multi-GPU Memory Access in Deep Learning. Journal of Supercomputing – Springer, Vol. 74, Issue. 05, pp. 2199-2212, 2018.


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“Reducing the time required by KASUMI to generate output by modifying the FL and FI functions, “Iran Journal of Computer Science, Springer. Online First. DOI: https://doi.org/10.1007/s42044-018-0017-2. Mar. 2018.


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