Ms. Sandhya Gangadharan
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Ms. Sandhya Gangadharan

Assistant Professor
Department of Computer Science and Engineering, Sri Krishna College of Technology, Coimbatore, Tamil Nadu, India

Highest Degree
M.Eng. in Computer Science and Engineering from Anna University, Chennai, Tamil Nadu, India

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Area of Interest:

Computer Sciences
100%
Wireless Sensor Network
62%
Computer Science Engineering
90%
Cloud Computing
75%
Internet of things (IoT)
55%

Research Publications in Numbers

Books
0
Chapters
7
Articles
10
Abstracts
2

Selected Publications

  1. Sandhya, G., M. Abishek, S.G. Kumar and R.S.J. Kumar, 2022. Credit Card Fraud Detection using Machine Learning Algorithms. Proceeding of ICT Systems and Sustainability, 01 November 2022, Springer, Singapore, ISBN: 978-981-19-5220-3, 313-320.
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  2. Sandhya, G., K. Vikash, T. Surrya and J.S. Raj, 2022. Improving Accuracy of Ataxic Gait Monitoring Using SVM and ANN. Proceeding of ICT Systems and Sustainability, 01 November 2022, Springer, Singapore, ISBN: 978-981-19-5220-3, 321-328.
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  3. Priya, M.D., M. Rajkumar, S. Karthik, A.C.J. Malar, R. Kanmani, G. Sandhya and P.A. Rajakumari, 2022. Emperor Penguin Optimization Algorithm and M-Tree-Based Multi-Constraint Multicast Ad Hoc On-Demand Distance Vector Routing Protocol for MANETs. Proceeding of 3rd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, 01 January 2022, Springer, Cham, ISBN: 978-3-030-78749-3, 101-116.
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  4. Sandhya, G., S. Suvetha, S. Swathi and R. Shwetha, 2021. Analysis on multi modal transportation system using spatial domain inverse. J. Phys.: Conf. Ser., Vol. 1916. 10.1088/1742-6596/1916/1/012108.
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  5. Sandhya, G., S. Poornima, S. Preethi and B. Priyadharshini, 2021. Instance level human parts detection using artificial neural networks and deep learning. J. Phys.: Conf. Ser., Vol. 1916. 10.1088/1742-6596/1916/1/012065.
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  6. Priya, M.D., S. Janakiraman, G. Sandhya and G. Aishwaryalakshmi, 2021. Efficient pre-authentication scheme for inter-ASN handover in high mobility MANET. Wireless Networks, 27: 893-907.
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  7. Janakiraman, S., M.D. Priya, S.S Devi, G. Sandhya, G. Nivedhitha and S. Padmavathi, 2021. A markov process-based opportunistic trust factor estimation mechanism for efficient cluster head selection and extending the lifetime of wireless sensor networks. EAI Endorsed Trans. Energy Web, Vol. 8. 10.4108/eai.13-1-2021.168093.
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  8. Akshitha, B., M. Arthi, R. Brindha and G. Sandhya, 2021. Identification of COVID-19 from chest CT images using a deep neural network with SVM classification. J. Phys.: Conf. Ser., Vol. 1916. 10.1088/1742-6596/1916/1/012064.
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  9. Priya, M.D., A.C.J. Malar, S.S. Peter, G. Sandhya, L.R.V. Varthan and R. Vignesh, 2020. Dynamic Resource Aware Scheduling Schemes for IEEE 802.16 Broadband Wireless Networks. Proceeding of Progress in Advanced Computing and Intelligent Engineering, 30 October 2020, Springer Singapore, ISBN: 978-981-15-6583-0, 218-230.
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  10. Priya, M.D., A.C.J. Malar, N. Kiruthiga, R. Anitha and G. Sandhya, 2020. Adaptive Uplink Scheduler for WiMAX Networks. Proceeding of 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing, 01 October 2020, Springer, Cham, ISBN: 978-3-030-47559-8, 289-300.
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