Mallika, M. C., Prabhaa, S. S., Asokan, K., Kumar, K. A., Ramamohan, T. R., & Kumar, K.S.(2021). Testing for nonlinearity in nonstationary time series: A network-based surrogate data test. Physical Review E, 104(5), 054217. DOI: 10.1103/PhysRevE.104.054217
Mallika, M. C., Asokan, K., Kumar, K. S., Ramamohan, T. R., & Kumar, K. S. (2021). Improved tests for non-linearity using network-based statistics and surrogate data. Pramana, 95(3), 1-9. DOI: 10.1007/s12043-021-02181-2
Mallika, M. C., Drisya, G. V., Kumar, K. A., & Kumar, K. S. (2018, July). Effect of White Noise on the Structural Properties of Networks Arose from Time Series. In 2018 International CET Conference on Control, Communication, and Computing (IC4) (pp. 301-305). IEEE.
Detection of nonlinearity of a nonstationary time series using associated complex network. Mallika M.C, Anil Kumar K.S, and K. Sathesh Kumar Proceedings of AICTE Sponsored National Conference in Associaton with ISTE, Critical Thinking for GenzMultidisciplinary Approach(CTGZMA-2021) 28-29 October 2021. RV College ofEngneering, Autonomous Institution Affiliated to Visvesvaraya Technical University, Belagavi, Department of MCA CTGZMA-2021 – Flip eBook Pages 201-225
Generalized Symbolic Dynamics Weighted Network Prediction of Chaotic Time Series. L. B. Reshmi, M. C. Mallika, V. Vijesh, and K. Satheesh Kumar, International Symposium on Intelligent Informatics, Smart Innovation, Systems and Technologies, Kerala University of Digital Sciences, Innovation and Technology (Digital University Kerala). https://doi.org/10.1007/978-981-19-8094-7
Degree Distribution of Wind Speed Induced Recurrence Networks. Reshmi, L. B., Mallika, M. C., & Kumar, K.S., RV Journal of Science Technology Engineering Arts and Management (RVJSTEAM) Volume 3 | Issue 1 | JAN , ISSN: 2582 – 8819 | 2022
Chaotic time series forecast based on weighted state transition network. L. B. Reshmi; M. C. Mallika; V. Vijesh; K. Satheesh Kumar International conference on Recent Innovations in Science and Technology(RIST2022), 8–9 July 2022, Malappuram, India, AIP Conf. Proc. 3037, 020037 (2024) https://doi.org/10.1063/5.0196080
Computational Techniques for Constructing Complex Networks from Time Series Mallika M. C., Prem Sankar C, Dr. Anil Kumar K.S and Dr. K Satheesh Kumar INFO FEST 2018- National Seminar, Sreeayyappa College, Eramallikkara, Chengannur during April 27-28, 2018
Constructing Network from Time series Mallika M. C, Anil Kumar K.S School Level Academic Meet (AIAM-2019), School of Technology, University of Kerala 28th March 2019.
Understand the behavior of the system using complex networks Mallika M. C., Anilkumar K.S. National Seminar on Computational Mathematics and Machine Lerning (NSCM 2L−2019), 16 -18 October 2019, Centre for Quantitative Analysis, Department of Mathematics, University of Kerala, October 2019.
The mathematical relation between maximum Lyapunov exponent and delayed mutual information of a given time series. Mallika M.C, Vijesh V, Rehsmi L.B, Anil Kumar K.S and K. Sathesh Kumar Series 2020:Virtual International Conference 30th November 2020 Organized as part of the Silver Jubilee celebration of the Department of Optoelectronics, University of Kerala, Trivandrum, Kerala, India.
Programs Coordinated
More than 10 programs
Programs Attended
More than 25 programs
Interaction With Outside World
Resourse person of various conference and training
