M. Kaliappan

发表

IPSec Provisioning in WiMAX Networks to Enhance the Security

L. J. Julus, S. Shibi, M. Kaliappan, 2012 .

Edge Computing-Based Intrusion Detection System for Smart Cities Development Using IoT in Urban Areas

M. Kaliappan, S. Pradeepa, S. Vimal, 2020 .

Enhancing energy efficient dynamic load balanced clustering protocol using Dynamic Genetic Algorithm in MANET

M. Kaliappan, T. Dhivya, 2015 .

Texture Image Analysis for Larger Lattice Structure using Orthogonal Polynomial framework

L. Ganesan, C. Umarani, M. Kaliappan, 2022, Inf. Technol. Control..

Optimization using Artificial Bee Colony based clustering approach for big data

P. Subbulakshmi, S. Sudhakar Ilango, M. Kaliappan, 2018, Cluster Computing.

AI-based smart prediction of clinical disease using random forest classifier and Naive Bayes

Mi Young Lee, M. Kaliappan, S. Vimal, 2020, The Journal of Supercomputing.

Development of Big Data Predictive Analytics Model for Disease Prediction using Machine learning Technique

M. Kaliappan, C. Balasubramanian, R. Venkatesh, 2019, Journal of Medical Systems.

An attention‐based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city

Sahil Verma, Kavita, Uttam Ghosh, 2020, Int. J. Commun. Syst..

Banana Plant Disease Classification Using Hybrid Convolutional Neural Network

M. Kaliappan, R. Krishnan, K. L. Narayanan, 2022, Computational intelligence and neuroscience.

A method of progression detection for glaucoma using K-means and the GLCM algorithm toward smart medical prediction

Y. Harold Robinson, M. Kaliappan, S. Vimal, 2021, The Journal of Supercomputing.

Energy enhancement using Multiobjective Ant colony optimization with Double Q learning algorithm for IoT based cognitive radio networks

Nilanjan Dey, Manju Khari, Rubén González Crespo, 2020, Comput. Commun..

Development of a secure routing protocol using game theory model in mobile ad hoc networks

Madasamy Kaliappan, Balasubramanian Paramasivan, Maria Johan Viju Prakash, 2015, Journal of Communications and Networks.

Enhancing secure routing in Mobile Ad Hoc Networks using a Dynamic Bayesian Signalling Game model

Madasamy Kaliappan, Balasubramanian Paramasivan, M. Kaliappan, 2015, Comput. Electr. Eng..

Comparative analysis of FSO, OFC and diffused channel links in photonics using artificial intelligence based S-band, C-band and L-band of the attenuation metrics

M. Kaliappan, P. Subbulakshmi, G. Karpagarajesh, 2022, Optical and quantum electronics.

Prediction of Clinical Disease with AI-Based Multiclass Classification Using Naïve Bayes and Random Forest Classifier

M. Kaliappan, S. Vimal, Mi Young Lee, 2021, Transactions on Computational Science and Computational Intelligence.

Development of secured data transmission using machine learning-based discrete-time partially observed Markov model and energy optimization in cognitive radio networks

L. Kalaivani, R. Varatharajan, Xiao-Zhi Gao, 2018, Neural Computing and Applications.

Collaborative approach on mitigating spectrum sensing data hijack attack and dynamic spectrum allocation based on CASG modeling in wireless cognitive radio networks

L. Kalaivani, S. Vimal, M. Kaliappan, 2017, Cluster Computing.

Deep Learning-Based Decision-Making with WoT for Smart City Development

S. Koteeswaran, A. Suresh, V. Jeyabalaraja, 2020, Smart Innovation of Web of Things.

Cervical Cancer Identification with Synthetic Minority Oversampling Technique and PCA Analysis using Random Forest Classifier

R. Geetha, S. Vimal, M. Kaliappan, 2019, Journal of Medical Systems.

Rainfall prediction using generative adversarial networks with convolution neural network

M. Kaliappan, R. Venkatesh, C. Balasubramanian, 2021, Soft Comput..

OSDDY: embedded system-based object surveillance detection system with small drone using deep YOLO

Mi Young Lee, Madasamy Kaliappan, Shanmuganathan Vimal, 2021, EURASIP J. Image Video Process..

RETRACTED ARTICLE: Secure storage allocation scheme using fuzzy based heuristic algorithm for cloud

K. Vijayalakshmi, S. Vimal, M. Sivaram, 2020, Journal of Ambient Intelligence and Humanized Computing.

Trend analysis using agglomerative hierarchical clustering approach for time series big data

Mucheol Kim, Vimal Shanmuganathan, Yesudhas Harold Robinson, 2021, The Journal of Supercomputing.

Predictive big data analytic on demonetization data using support vector machine

A. Suresh, S. Sivasubramanian, S. Vimal, 2018, Cluster Computing.

Development of Big Data Predictive Analytics Model for Disease Prediction using Machine learning Technique

M. Kaliappan, C. Balasubramanian, R. Venkatesh, 2019, Journal of Medical Systems.