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ORCIDMadasamy Kaliappan
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2020 – today
- 2022
[j16]L. Ganesan, C. Umarani, Madasamy Kaliappan, S. Vimal
, Seifedine Kadry, Yunyoung Nam:
Texture Image Analysis for Larger Lattice Structure using Orthogonal Polynomial framework. Inf. Technol. Control. 51(3): 531-544 (2022)- [j15]A. Azhagu Jaisudhan Pazhani, Perumalsamy Gunasekaran, Vimal Shanmuganathan, Sangsoon Lim, Madasamy Kaliappan, Rajesh Manoharan, Amit Verma:
Peer-Peer Communication Using Novel Slice Handover Algorithm for 5G Wireless Networks. J. Sens. Actuator Networks 11(4): 82 (2022) - 2021
- [j14]Madasamy Kaliappan, Shanmuganathan Vimal, Kandasamy Vijayalakshmi, Mi Young Lee, Manikandan Thangadurai:
OSDDY: embedded system-based object surveillance detection system with small drone using deep YOLO. EURASIP J. Image Video Process. 2021(1): 19 (2021) - [j13]Balachandran Vijayalakshmi, Kadarkarayandi Ramar, N. Z. Jhanjhi, Sahil Verma, Madasamy Kaliappan, Kandasamy Vijayalakshmi, Shanmuganathan Vimal, Kavita, Uttam Ghosh:
An attention-based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city. Int. J. Commun. Syst. 34(3) (2021) - [j12]V. Jackins, S. Vimal, Madasamy Kaliappan, Mi Young Lee:
AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes. J. Supercomput. 77(5): 5198-5219 (2021) - [j11]Subbulakshmi Pasupathi, Vimal Shanmuganathan, Madasamy Kaliappan, Yesudhas Harold Robinson, Mucheol Kim:
Trend analysis using agglomerative hierarchical clustering approach for time series big data. J. Supercomput. 77(7): 6505-6524 (2021) - 2020
- [j10]S. Vimal, Manju Khari, Rubén González Crespo, L. Kalaivani, Nilanjan Dey, Madasamy Kaliappan:
Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks. Comput. Commun. 154: 481-490 (2020) - [j9]S. Vimal, L. Kalaivani, Madasamy Kaliappan, Annamalai Suresh, Xiao-Zhi Gao, R. Varatharajan:
Development of secured data transmission using machine learning-based discrete-time partially observed Markov model and energy optimization in cognitive radio networks. Neural Comput. Appl. 32(1): 151-161 (2020)
2010 – 2019
- 2019
- [j8]S. Vimal, L. Kalaivani, Madasamy Kaliappan:
Collaborative approach on mitigating spectrum sensing data hijack attack and dynamic spectrum allocation based on CASG modeling in wireless cognitive radio networks. Clust. Comput. 22(5): 10491-10501 (2019) - [j7]S. Sudhakar Ilango, S. Vimal, Madasamy Kaliappan, P. Subbulakshmi:
Optimization using Artificial Bee Colony based clustering approach for big data. Clust. Comput. 22(5): 12169-12177 (2019) - [j6]Nattar Kannan, S. Sivasubramanian, Madasamy Kaliappan, S. Vimal, Annamalai Suresh:
Predictive big data analytic on demonetization data using support vector machine. Clust. Comput. 22(6): 14709-14720 (2019) - [j5]R. Venkatesh, C. Balasubramanian, Madasamy Kaliappan:
Development of Big Data Predictive Analytics Model for Disease Prediction using Machine learning Technique. J. Medical Syst. 43(8): 272:1-272:8 (2019) - [j4]R. Geetha, S. Sivasubramanian, Madasamy Kaliappan, S. Vimal, Annamalai Suresh:
Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier. J. Medical Syst. 43(9): 286:1-286:19 (2019) - 2016
- [j3]Madasamy Kaliappan, Susan Augustine, Balasubramanian Paramasivan:
Enhancing energy efficiency and load balancing in mobile ad hoc network using dynamic genetic algorithms. J. Netw. Comput. Appl. 73: 35-43 (2016) - 2015
- [j2]Madasamy Kaliappan, Balasubramanian Paramasivan:
Enhancing secure routing in Mobile Ad Hoc Networks using a Dynamic Bayesian Signalling Game model. Comput. Electr. Eng. 41: 301-313 (2015) - [j1]Balasubramanian Paramasivan, Maria Johan Viju Prakash, Madasamy Kaliappan:
Development of a secure routing protocol using game theory model in mobile ad hoc networks. J. Commun. Networks 17(1): 75-83 (2015)
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