Research Highlights :
Research Interests includes Optimization Algorithms,Stochastic and Statistical Models
Data Analytics, Machine Learning and Deep Learning.
Published paper in Water Research-Elsevier- with impact factor 7.621,in collaboration with VIT , https://doi.org/10.1016/j.watres.2018.07.006.
Recent Publications :
- Mahesh Ganesapillai, Rishabh Mehta, Aditya Tiwari , Aritro Sinha , Harshdeep Singh Bakshi, Vijayalakshmi Chellappa, Jakub Drewn owski (2023), Waste to energy: Are view of biochar production with emphasis on mathematical modelling and its applications, Science Direct, Elsevier, Heliyon, Vol-9, Issue 4, pp 1-22, https://doi.org/10.1016/j.heliyon.2023.e14873, Impact Factor 3.776.
- Mahesh Ganesapillai, Aditya Tiwari, Rishabh Mehta, Aritro Sinha, Ishita Sarkar, Bidisha Mondal, Vijayalakshmi Chellappa & Amritbir Riar (2023) Is the pandemic masking waste management? – A review on fallout of the COVID-19 viral contagion, Green Chemistry Letters and Reviews, Taylor & Francis, 16:1, 2164224, DOI:10.1080/17518253.2022.2164224, Impact Factor: 4.99.
- Yuvarani. C and C. Vijayalakshmi (2023), Simulation of batch arrival queuing model using Artificial Neural Network, Purakala, UGC care approved Journal, 32(1), 280-286.
- M. Premalatha and C. Vijayalakshmi (2023), Weighted Support Vector Machine Classification by using Confidence Parameters for Unbalanced Sampling Target Data Set, Recent Trends in Computational Intelligence and its Application, CRC press, Taylor & Francis Group, London,,vol-1,pp-346-351, ISBN:978-1-032-48410-5, doi.org/10.1201/9781003388913-46.
- Vijayalakshmi Chellappa and Rajesh Kanna Baskaran (2023), Dehaze Information Removal Using Deep Learning Framework, AIP Conf. Proc. 2797, https://doi.org/10.1063/5.0149962,pp-070006-1 to 9, https://doi.org/10.1063/5.0149962, Impact factor:0.41.
- Sivalingam, Vinitha Vijayan, Ganesh Nair, Athira, Sindhu. Karyankandi Puthanpurayile, Sowmya Adapa, Sahithi Pesala and Vijayalakshmi Chellappa (2023), Implementation of Statistical Techniques to Analyze Agriculture Data, AIP Conf. Proc.2797, pp-070000-1 to 17, https://doi.org/10.1063/5.0149053, Impact factor: 0.41.
- Mahesh Ganesapillai et al. and C. Vijayalakshmi (2022), An experimental study probing moisture kinetics and indices of microwave dried fecal sludge with an insight on real world applications, Separation science and technology, pp:1-15, Taylor and Francis, LLC, 2022, https://doi.org/10.1080/01496395.2022.2041034, Impact factor: 2.15.
- Mahesh Ganesapillai et al. and C. Vijayalakshmi (2022), Design and Analysis of Artificial Neural Network (ANN) models for achieving self-sustainability in sanitation, Applied Sciences, pp-1-21,2022, https://doi.org/10.3390/app12073384, Impact factor: 2.838.
- Premalatha, M., Vijayalakshmi. C (2022). Randomly Selection of Interior Points in SV Learning Algorithm Uses of Confidence Parameter. In: Peng, SL., Lin, CK., Pal, S. (eds) Proceedings of 2nd International Conference on Mathematical Modeling and Computational Science. Advances in Intelligent Systems and Computing, vol1422. Springer, Singapore. https://doi.org/10.1007/978-981-19-0182-9_29.
- R. Subramani and C. Vijayalakshmi (2022), Augmented Lagrangian Model to analyze the synergies of Electric Urban Transport systems and Energy distribution in smart cities, Smart Buildings Digitalization,pp-189-202, CRC press, Taylor and Francis group, https://doi.org/10.1201/9781003240853,ISBN978-1-032-14642-3.
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