Research

S. Punathumkandi, V. M. Sundaram, and P. Panneer, “Interoperable Permissioned-Blockchain with Sustainable Performance,” Sustainability, vol. 13, no. 20. MDPI AG, p. 11132, Oct. 09, 2021. doi: 10.3390/su132011132.

S. P. and M. Venkatesan, “Scalability improvement and analysis of permissioned-blockchain,” ICT Express, vol. 7, no. 3. Elsevier BV, pp. 283–289, Sep. 2021. doi: 10.1016/j.icte.2021.08.015.

A. Mohan and M. Venkatesan, “HybridCNN based hyperspectral image classification using multiscale spatiospectral features,” Infrared Physics & Technology, vol. 108. Elsevier BV, p. 103326, Aug. 2020. doi: 10.1016/j.infrared.2020.103326.

A. Mohan and V. Meenakshi Sundaram, “V3O2: hybrid deep learning model for hyperspectral image classification using vanilla-3D and octave-2D convolution,” Journal of Real-Time Image Processing, vol. 18, no. 5. Springer Science and Business Media LLC, pp. 1681–1695, Apr. 25, 2020. doi: 10.1007/s11554-020-00966-z.

K. Kanimozhi, R. Krishnan, and M. Venkatesan, “An enlarged map-reduce using 2logmean-PSO optimization for unstructured data,” The International Journal of Electrical Engineering & Education. SAGE Publications, p. 002072091989419, Dec. 15, 2019. doi: 10.1177/0020720919894192.

V. M. Sundaram and A. Thangavelu, “A Delaunay diagram-based Min-Max CP-Tree algorithm for Spatial Data Analysis,” Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, vol. 5, no. 3. Wiley, pp. 142–154, Apr. 23, 2015. doi: 10.1002/widm.1151.

Venkatesan, M., Thangavelu, (2013)." A multiple window-based co-location pattern mining approach for various types of spatial data," International Journal of Computer Applications in Technology, 48 (2), pp. 144-154. DOI: 10.1504/IJCAT.2013.056022

G. Gunasekaran and M. Venkatesan, “An Efficient Technique for Three-Dimensional Image Visualization Through Two-Dimensional Images for Medical Data,” Journal of Intelligent Systems, vol. 29, no. 1. Walter de Gruyter GmbH, pp. 100–109, Dec. 18, 2017. doi: 10.1515/jisys-2017-0315.

Gunasekaran, G., Venkatesan, M. (2018)," An efficient method for secure 2D image visualization and transmission through chaotic confusion and pixel diffusion," Pertanika Journal of Science and Technology, 26 (2), pp. 599-614.

Kanimozhi, K.V., Rajakumarkrishnan, Venkatesan, M(2019), " Maximum frequent item set based clustering algorithm for big text data, " International Journal of Recent Technology and Engineering, 8 (2 Special Issue 11), pp. 3970-3975. DOI: 10.35940/ijrte.B1539.0982S1119

Venkatesan, M., Prabhavathy, P.(2018), " Big data computation model for landslide risk analysis using remote sensing data, Big Data Analytics for Satellite Image Processing and Remote Sensing," pp. 22-33. DOI: 10.4018/978-1-5225-3643-7.ch002.

Velmurugan, J., Venkatesan, M (2017). Soft computation model for identification landslide factor, Journal of Advanced Research in Dynamical and Control Systems, 9 (Special Issue 6), pp. 665-679.

Prabhavathy, P., Tripathy, B.K., Sundaram, V.M.(2016), Covering based refined rough Kmeans algorithm, Research Journal of Pharmaceutical, Biological and Chemical Sciences, 7 (5), pp. 2142-2151.

Sharma, T., Rahul, C., Shahul, S., Venkatesan, M(2016), Video retrieval system-an approach based on image comparison, International Journal of Engineering and Technology, 8 (1), pp. 357-363.

Deshpande, K.D., Venkatesan, M (2016)., Cover based refined rough K-means algorithm, International Journal of Control Theory and Applications, 9 (28), pp. 113-122

Gunasekaran, G., Venkatesan, M. (2016), Review on visualization techniques for medical data and its application, Research Journal of Pharmaceutical, Biological and Chemical Sciences, 7 (3), pp. 169-173.

Choudhary, P.R., Murade, A., Murade, A., Venkatesan, M (2016), Climate change prediction using artificial neural network, International Journal of Applied Engineering Research, 11 (3), pp. 1954-1959.

Venkatesan, M., Ashvin, D.A., Bhambure, S., Thomas, R. (2016), A centroid-based clustering approach to analyze examinations for diabetic patients, International Journal of Pharmaceutical and Clinical Research, 8 (1), pp. 75-79.

Naaz, E., Sharma, D., Sirisha, D., Venkatesan, M (2016), Enhanced K-means clustering approach for health care analysis using clinical documents, International Journal of Pharmaceutical and Clinical Research, 8 (1), pp. 60-64.

Shinde, J., Dubey, P., Vaidya, O., Venkatesan, M. (2016), Research Journal of Pharmaceutical, Biological and Chemical Sciences, 7 (1), p. 1310.

Shingade, R., Patil, A., Suryawanshi, S., Venkatesan, M. (2016),, Efficient Resource Management in Cloud Computing, International Journal of Engineering and Technology, 7 (6), pp. 2045-2053.

Amolik, A., Jivane, N., Bhandari, M., Venkatesan, M. (2016),, Twitter sentiment analysis of movie reviews using machine learning technique, International Journal of Engineering and Technology, 7 (6), pp. 2038-2044.

Pait, A., Venkatesan, M. (2015), Refined decision theory rough set model using covering based approach, International Journal of Applied Engineering Research, 10 (24), pp. 4433044335

Venkatesan, M., Arunkumar, T., Prabhavathy, P (2015). A novel Cp-Tree-based co-located classifier for big data analysis, International Journal of Communication Networks and Distributed Systems, 15 (2-3), pp. 191-211.

Manjunatha, H.C., Venkatesan, M (2014), A survey on community detection techniques & software toolkits for social network analysis, International Journal of Applied Engineering Research, 9 (23), pp. 19429-19437.

Nitesh Naik, K Chandrasekaran, M Venkatesan, P Prabhavathy. "Attention based Bi-temporal Image Deep Feature Level Change Detection for High Resolution Imagery," 2021 3rd International Conference on Machine Learning, Image Processing, Network Security and Data Sciences, NIT Raipur

Nitesh Naik, K Chandrasekaran, M Venkatesan, P Prabhavathy. "Deep Learning Based Prediction, Classification, Clustering Models for Time Series Analysis: A Systematic Review", 2021 3rd International Conference on Advances in Information Communication Technology & Computing, BMK Global Foundation, Bikaner Udaipur

G. V. Daniel and M. Venkatesan, “Robust Graph based Deep Anomaly Detection on Attributed networks,” 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence). IEEE, Jan. 28, 2021. doi: 10.1109/confluence51648.2021.9376881.

Swathi P, M Venkatesan, Prabhavathy, “Is data science and blockchain a perfect match,” 6th International Conference on Information and Communication Technology for Competitive Strategies (ICTCS-2021).Jaipur

Swathi P, M Venkatesan,“A Survey paper on blockchain,” 1st National conference on Blockchain and Smart contract Technologies (BSCT) ,2020.NIT Trichy

Mohan A., Venkatesan M. (2020) Spatial Data-Based Prediction Models for Crop Yield Analysis: A Systematic Review. In: Venkata Krishna P., Obaidat M. (eds) Emerging Research in Data Engineering Systems and Computer Communications. Advances in Intelligent Systems and Computing, vol 1054. Springer, Singapore. https://doi.org/10.1007/978-981-15-0135-7_33

Mohan A., Venkatesan M. (2020) Spatiospectral Feature Extraction and Classification of Hyperspectral Images Using 3D-CNN + ConvLSTM Model. In: Goel N., Hasan S., Kalaichelvi V. (eds) Modelling, Simulation and Intelligent Computing. MoSICom 2020. Lecture Notes in Electrical Engineering, vol 659. Springer, Singapore. https://doi.org/10.1007/978-981-154775-1_18

Mohan A., Venkatesan M. (2020) Hybrid Dimensionality Reduction Technique for Hyperspectral Images using Random Projection and Manifold Learning, In: PAKDD 2020. Trends and Applications in Knowledge Discovery and Data Mining, Lecture Notes in Artificial Intelligence,

Gupta, P., Venkatesan, M.(2020),Mineral identification using unsupervised classification from hyperspectral data , Advances in Intelligent Systems and Computing, 1054, pp. 259-268,doi= https://doi.org/10.1007/978-981-15-0135-7_25

Srivastava, A.R., Venkatesan, M (2020), Tea leaf disease prediction using texture-based image processing, Advances in Intelligent Systems and Computing, 1054, pp. 17-25. DOI: 10.1007/978-981-15-0135-7_3.

Valaboju, S., Venkatesan, M (2020), An efficient image retrieval system for remote sensing images using deep hashing network, Advances in Intelligent Systems and Computing, 1054, pp. 11-16. DOI: 10.1007/978-981-15-0135-7_2

Venkatesan, M., Prabhavathy, P(2019). Graph based Unsupervised Learning Methods for Edge and Node Anomaly Detection in Social Network, IEEE 1st International Conference on Energy, Systems and Information Processing, ICESIP 2019, art. no. 8938364, DOI: 10.1109/ICESIP46348.2019.8938364

Kelam, H., Venkatesan, M.(2019), Optimal Band Selection Using Generalized CoveringBased Rough Sets on Hyperspectral Remote Sensing Big Data, Advances in Intelligent Systems and Computing, 750, pp. 263-273. DOI: 10.1007/978-981-13-1882-5_24

Shekhar, A., Venkatesan, M.(2018), A Bag-of-Phonetic-Codes Modelfor Cyber-Bullying Detection in Twitter, Proceedings of the 2018 International Conference on Current Trends towards Converging Technologies, ICCTCT 2018, art. no. 8550938, DOI: 10.1109/ICCTCT.2018.8550938.

Singh, P., Venkatesan, M. (2018), Hybrid Approach for Intrusion Detection System, Proceedings of the 2018 International Conference on Current Trends towards Converging Technologies, ICCTCT 2018, art. no. 8551181. DOI: 10.1109/ICCTCT.2018.8551181

Dofadar, S., Venkatesan, M. (2018), Predicting Influenza Outbreak using Constrained Static and dynamic Feature, Proceedings of the 2018 International Conference on Current Trends towards Converging Technologies, ICCTCT 2018, art. no. 8551177. DOI: 10.1109/ICCTCT.2018.8551177.

Velmurugan, J., Venkatesan, M. (2018), Hybrid intelligent bayesian model for analyzing spatial data, Lecture Notes in Electrical Engineering, 464, pp. 376-391. DOI: 10.1007/978-98110-7398-4_39

Kanimozhi, K.V., Venkatesan, M. (2018), A novel map-reduce based augmented clustering algorithm for big text datasets, Advances in Intelligent Systems and Computing, 542, pp. 427436. DOI: 10.1007/978-981-10-3223-3_41.

Kanimozhi, K.V., Prabhavathy, P., Venkatesan, M(2018). Text document analysis using map-reduce framework, Advances in Intelligent Systems and Computing, 706, pp. 585-594. DOI: 10.1007/978-981-10-8237-5_57

Dhaduk, K., Kamle, P., Venkatesan, M., Prabhavathy, P(2015). Covering based rough clustering of sequential data, 2014 IEEE International Conference on Computational Intelligence and Computing Research.

Agrawal, A.K., Gupta, A., Venkatesan, M (2013), Biased confidence classification algorithm for faculty subject allocation in education domain, 2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing, iMac4s 2013, art. no. 6526471, pp. 540-546. DOI: 10.1109/iMac4s.2013.6526471

Venkatesan, M., Thangavelu, A., Prabhavathy, P (2013). An improved Bayesian classification data mining method for early warning landslide susceptibility model using GIS.,Advances in Intelligent Systems and Computing, 202 AISC (VOL. 2), pp. 277-288. DOI: 10.1007/978-81-322-1041-2_24

Sundaram, V.M., Thnagavelu, A., Paneer, P(2012),Discovering co-location patterns from spatial domain using a delaunay approach Procedia Engineering, 38, pp. 2832-2845. DOI: 10.1016/j.proeng.2012.06.332

Venkatesan, M., Thangavelu, A., Prabhavathy, P(2011).A new data mining approach to find colocation pattern from spatial data (2011) Communications in Computer and Information Science, 198 CCIS, pp. 536-545. DOI: 10.1007/978-3-642-22555-0_55

S. Punathumkandi, V. M. Sundaram, and P. Prabhavathy, “A deep dive into Hyperledger,” Blockchain and Machine Learning for e-Healthcare Systems. Institution of Engineering and Technology, pp. 85–107, Nov. 18, 2020. doi: 10.1049/pbhe029e_ch4.