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Journal Articles
- 2024
[j7]M. Jalasri, L. Lakshmanan:
An improved data aggregation for fog computing devices in internet of things. Int. J. Netw. Virtual Organisations 30(2): 114-133 (2024)- 2023
- [j6]M. Jalasri, L. Lakshmanan:
Managing data security in fog computing in IoT devices using noise framework encryption with power probabilistic clustering algorithm. Clust. Comput. 26(1): 823-836 (2023) - [j5]N. Mageshkumar, L. Lakshmanan:
Intelligent data deduplication with Deep Transfer Learning Enabled Classification Model for Cloud-based Healthcare System. Expert Syst. Appl. 215: 119257 (2023) - [j4]Dilip Kumar Jang Bahadur
, L. Lakshmanan:
A novel method for optimizing energy consumption in wireless sensor network using genetic algorithm. Microprocess. Microsystems 96: 104749 (2023) - 2020
- [j3]Josephine M. S., L. Lakshmanan, Resmi R. Nair, Visu P., Ganesan R., Jothikumar R.:
Monitoring and sensing COVID-19 symptoms as a precaution using electronic wearable devices. Int. J. Pervasive Comput. Commun. 16(4): 341-350 (2020) - 2019
- [j2]Lakshmanan Ramanathan, G. Parthasarathy, K. Vijayakumar, L. Lakshmanan, S. Ramani:
Cluster-based distributed architecture for prediction of student's performance in higher education. Clust. Comput. 22(Suppl 1): 1329-1344 (2019) - [j1]Visu P., L. Lakshmanan, Murugananthan V., Meenaloshini Vimal Cruz:
Software-defined forensic framework for malware disaster management in Internet of Thing devices for extreme surveillance. Comput. Commun. 147: 14-20 (2019)
Conference and Workshop Papers
- 2023
- [c1]Sai Usha Nagasri Goparaju, L. Lakshmanan, Abhinav Navnit, Rahul Biju, Lovish B, Deepak Gangadharan, Aftab M. Hussain:
Time Series-based Driving Event Recognition for Two Wheelers. DATE 2023: 1-2
Coauthor Index
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last updated on 2024-10-07 22:18 CEST by the dblp team
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