Dr. Shanta Rangaswamy
ProfessorRV College of Engineering, India
Highest Degree
Ph.D. in Computer Science & Engineering from Kuvempu University, India
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Area of Interest:
Selected Publications
- Ravish, R., S. Rangaswamy, V. Arpitha and U. Vasuprada, 2023. User preference-based intelligent road route recommendation using SARSA and dynamic programming. J. Control Decis., 10: 443-453.
CrossRef | Direct Link | - Lalitha, V.P. and S. Rangaswamy, 2022. Automatic object detection in aerial image using bent identity-convolutional neural network and fine tuning algorithm. Multimed. Tools Appl., 81: 9713-9740.
CrossRef | Direct Link | - Ravish, R., S. Rangaswamy, V. Arpitha and M. Sourabha, 2021. Novel approach to predict the travel time based on historical data using ML techniques. Int. J. Comput. Sci. Inf. Secur., 19: 23-43.
CrossRef | Direct Link | - Ravish, R., S. Rangaswamy and K. Char, 2021. Intelligent Traffic Violation Detection. 2021 2nd Global Conference for Advancement in Technology (GCAT), October 1-3, 2021, IEEE 1-7.
CrossRef | Direct Link | - Ravish, R. and S.R. Swamy, 2021. Intelligent traffic management: a review of challenges, solutions, and future perspectives. Transport Telecommunication J., 22: 163-182.
CrossRef | Direct Link | - Rangaswamy, S., P.R. Kumar, B.V. Uma and K.N. Subramanya, 2021. MOOCs-the way to go. J. Uni. Shanghai Sci. Technol., 23: 881-889.
CrossRef | Direct Link | - Ravish, R., D.P. Shenoy and S. Rangaswamy, 2020. Sensor-based traffic control system. Proceedings of the Global AI Congress 2019 Springer Singapore 207-221.
CrossRef | Direct Link | - Ravish, R. and S. Rangaswamy, 2020. Integrated mode of transport: a predictive model for route guidance. Int. J. Intell. Unmanned Syst., Vol. 2020. 10.1108/ijius-09-2020-0040.
CrossRef | Direct Link | - Mathkunti, N.M. and S. Rangaswamy, 2020. Machine learning techniques to identify dementia. SN Comput. Sci., 10.1007/s42979-020-0099-4.
CrossRef | Direct Link | - Ravish, R., V.R. Gupta, K.J. Nagesh, A. Karnam and S. Rangaswamy, 2019. Software implementation of an automatic movable road barrier. 2019 International Carnahan Conference on Security Technology (ICCST), October 1-3, 2019, IEEE Xplore, Tunis, Tunisia, pp: 1-6.
CrossRef | Direct Link | - Rangaswamy, S., P.B.A. Kumara, A. Timmapur, A.R. Naik and B. Navalagi, 2018. Image denoising and segmentation approch to detect tumor from BRAINMRI images. J. Soft Comput. Appl., 2018: 51-59.
CrossRef | Direct Link | - Manonmani, S., S. Rangaswamy, D. Kumar, S. Ishan, A. Jonnalagadda and I. Joshua, 2018. 2D to 3D conversion of images using defocus method along with laplacian matting for improved medical diagnosis. J. Applied Inf. Sci., 6: 6-13.
Direct Link | - Soumya, M.A., S. Rangaswamy, S.P. Karthik, M.N. Kirani, H. Tanwar, 2017. A technique for parameter identification, classification and structuring of marine genomics and oceanographic mutations. Int. J. Oceans Oceanogr., 11: 147-158.
Direct Link | - Kulkarni, A., S. Rangaswamy and S. Manonmani, 2017. Comparative study of major image enhancement algorithms. Eur. J. Eng. Res. Sci., 2: 23-26.
CrossRef | Direct Link | - Ravindran, V., L. Viswanathan and S. Rangaswamy, 2016. A novel approach to automatic road-accident detection using machine vision techniques. Int. J. Adv. Comput. Sci. Applic., 1: 235-242.
- Manonmani, S., V.P. Lalitha and S. Rangaswamy, 2016. Survey on image denoising Techniques. Int. J. Sci. Eng. Technol. Res., 5: 2824-2827.
- Manonmani, S., V.P. Lalitha and S. Rangaswamy, 2016. Flipped learning for the course-java and JEE programming. Int. J. Adv. Eng. Res. Dev., 2: 29-33.
- Madhusan, A., L. Viswanathan, V. Ravindran and S. Rangaswamy, 2016. A survey on road accident detection and reporting. Int. J. Sci. Eng. Res., 7: 71-81.
- Lalitha, V.P., S. Manonmani and S. Rangaswamy, 2016. Virtual function using flipped classroom. Int. Educ. Res. J., 2: 98-99.
- Yashaswini, S.S.P., S. Halagur, F. Khan and S. Rangaswamy, 2015. A literature survey on ambient noise analysis for underwater acoustic signals. Int. J. Comput. Eng. Sci., 1: 1-9.
- Monika, M. and S. Rangaswamy, 2015. A study on under water network simulators. Int. J. Technol. Enhancements Emerging Eng. Res., 3: 80-83.
- Rangaswamy, S., G. Shobha, R.V. Sandeep and Rajkiran, 2014. Comparative study of decision tree classifier with and without GA based feature selection. Int. J. Adv. Res. Comput. Commun. Eng., 3: 4948-4950.
- Rakesh, G.V., S. Rangaswamy, V. Hegde and G. Shoba, 2014. A survey of techniques to defend against sybil attacks in social networks. Int. J. Adv. Res. Comput. Commun. Eng., 3: 6577-6580.
- Rangaswamy, S., G. Shobha, N. Satvik and B. Shivakumar, 2013. Decision tree classifiers with GA based feature selection. Int. J. Comput. Sci., 3: 75-84.
Direct Link | - Rangaswamy, S., 2013. Time series data mining tool. Int. J. Res. Comput. Commun. Technol., 2: 1037-1040.
- Rangaswamy, S. and G. Shobha, 2012. Optimized association rule mining using genetic algorithm. Nat. J. Comput. Sci. Eng. Inform. Technol. Res., 2: 1-9.
- Rangaswamy, S. and G. Shobha, 2012. Autonomic online indexing for databases using query workloads. J. Comput. Intell. Electr. Syst., 1: 63-66.
CrossRef | Direct Link | - Bhargavaram, A. and S. Rangaswamy, 2012. Automation tool for comparing the two different printouts from the same application for PCL 3 GUI based HP inkjet printers. Int. J. Comput. Sci. Commun. Networks, 2: 163-166.
- Rangaswamy, S. and G. Shobha, 2011. What and why of autonomic computing. Nat. J., 35: 13-15.
- Rangaswamy, S. and G. Shobha, 2011. Techniques and theories of self-optimization in autonomic systems. Int. J. Adv. Eng. Technol., 2: 73-80.
- Rangaswamy, S. and G. Shobha, 2011. Online indexing for database using query workloads. Int. J. Comput. Sci. Commun., 2: 427-433.
- Rangaswamy, S. and G. Shobha, 2011. A survey on autonomic self optimizing systems. Int. J. Res. Surveys, 5: 517-523.
- Rangaswamy, M.S. and G. Shobha, 2011. SQL query dissembler-a self optimizing autonomic system. Int. J., 2: 219-223.
- Chandrashekar, P.K. and S. Rangaswamy, 2011. Plan design implement framework tool for NCE. Int. J. Innov. Technol. Creative Eng., 3: 32-37.