INTERNATIONAL JOURNALS
- Hybrid BATGSA: A Meta Heuristic Model for the Classification of Breast Cancer Data, International Journal of Advanced Intelligence Paradigms (IJAIP), Inderscience, ISSN (Online) 1755-0394, ISSN (Print) 1755-0386 Vol.15 No.2, pp.207 – 227.
- Reducing the feature space using constraint governed association rule mining. Journal of Intelligent Systems, De-Gruters, ISSN (Online) 2191-026X, ISSN (Print) 0334-1860, pp.139-152.
INTERNATIONAL CONFERENCES
- An Empirical Study of Signal Transformation Techniques on Epileptic Seizures Using EEG Data. In Congress on Intelligent Systems. Lecture Notes on Data Engineering and Communications Technologies, vol 111. pp 797-806, Springer, Singapore, July 2022.
- Classification Algorithms Used In The Study of EEG-Based Epileptic Seizure Detection. In 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), 2021, pp. 1518-1521, IEEE, 5-7 October 2021.
- COLPOUSIT: a hybrid model for tourist place recommendation based on machine learning algorithms. In 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)(pp. 1743-1750). IEEE, 03-05 June 2021.
- Demography-Based Hybrid Recommender System for Movie Recommendations. In Sustainable Advanced Computing(pp. 49-58). Springer, Singapore, 05-06 March 2021.
- Constraint Governed Association Rule Mining for Identification of Strong SNPs to Classify Autism Data. In 2020 International Conference on Communication, Computing and Industry 4.0 (C2I4)(pp. 1-5). IEEE, 17 December 2020 .
- Impact of Learning Functions on Prediction of Stock Data in Neural Network. In 2018 3rd International Conference on Computational Systems and Information Technology for Sustainable Solutions (CSITSS), pp. 82-86., IEEE, Bangalore 20-22 December 2018.
- PSO based fast K-means algorithm for feature selection from high dimensional breast cancer data. In Proceedings 10th International Conference on intelligent systems and control (ISCO-2016), Coimbatore, 7-8 January, 2016,
- BAT-ELM: A bio inspired model for prediction of breast cancer data. In Proceedings of International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT-2015), 501-506, IEEE, Davanagere, 29-31 October, 2015.
- Fast Modular Artificial Neural Network for the Classifi- cation of Breast Cancer Data. In Proceedings of the Third International Symposium on Women in Computing and Informatics, pp. 66-72, ACM, 10-13 August 2015.
BOOK CHAPTERS
- A Spatio Temporal Model for the Analysis and Classification of Soil using IoT. In Cyber Physical IoT and Autonomous Systems in Industry 4.0, pp. 221-234, CRC Press, Boca Raton, 2021.
- Active Learning from an Imbalanced Dataset: A Study Conducted on the Depression, Anxiety, and Stress Dataset. In Handbook of Machine Learning for Computational Optimization(pp. 251-266). CRC Press, Boca Raton, 2021.
- A Decade Survey on Internet of Things in Agriculture. In Internet of Things (IoT), pp. 351-370, Springer, Cham, 2020.
- Social, Medical, and Educational Applications of IoT to Assist Visually Impaired People. In Internet of Things for Healthcare Technologies, pp. 195-214. Springer, Singapore, 2020.
- Agricultural IoT as a Disruptive Technology: Comparing Cases from the USA and India. In The Digitalization Conundrum in India(pp. 123-132). Springer, Singapore, 2020.
- A Meta-Heuristic based Hybrid Predictive Model for Sensor Network Data. Computational intelligence in sensor networks, pp 167-186, Springer, Berlin, Heidelberg, 2018
- Nature Inspired Algorithm Approach for the Development of an Energy Aware Model for Sensor Network. Computational intelligence in sensor networks, pp 55-77, Springer, Berlin, Heidelberg, 2018.