All Stories

  1. Performance comparison of feedforward neural network training algorithms in modeling for synthesis of polycaprolactone via biopolymerization

    Article • Clean Technologies and Environmental Policy, July 2018, Springer Science + Business Media

    Senthil kumar Arumugasamy

  2. Development of polyhydroxyalkanoates production from waste feedstocks and applications

    Article • Journal of Bioscience and Bioengineering, May 2018, Elsevier

    Senthil kumar Arumugasamy

  3. Statistical Design of Experimental and Bootstrap Neural Network Modelling Approach for Thermoseparating Aqueous Two-Phase Extraction of Polyhydroxyalkanoates

    Article • Polymers, January 2018, MDPI AG

    Senthil kumar Arumugasamy

  4. Optimisation of process parameters using D-optimal for enzymatic synthesis of polycaprolactone

    Article • Polymer Bulletin, October 2017, Springer Science + Business Media

    Senthil kumar Arumugasamy

  5. Adsorption of Copper(II) Ion from Aqueous Solution Using Biochar Derived from Rambutan (Nepheliumlappaceum) Peel: Feedforward Neural Network Modelling Study

    Article • Water Air & Soil Pollution, July 2017, Springer Science + Business Media

    Senthil kumar Arumugasamy

  6. Multi input single output model predictive control of non-linear bio-polymerization process

    Article • January 2015, American Institute of Physics

    Senthil kumar Arumugasamy, Dr Zainal Ahmad

  7. Hybrid Model for Biopolymerization Process (ε-Caprolactone to Polycaprolactone)

    Article • Applied Mechanics and Materials, September 2014, Trans Tech Publications

    Senthil kumar Arumugasamy, Dr Zainal Ahmad

  8. Modeling of Polycaprolactone Production from ε-Caprolactone Using Neural Network

    Article • January 2012, Springer Science + Business Media

    Senthil kumar Arumugasamy, Dr Zainal Ahmad

  9. Candida antarctica as catalyst for polycaprolactone synthesis: effect of temperature and solvents

    Article • Asia-Pacific Journal of Chemical Engineering, April 2011, Wiley

    Senthil kumar Arumugasamy, Dr Zainal Ahmad

  10. Feedforward artificial neural network to improve model predictive control in biological processes

    Article • International Journal of Automation and Control, January 2011, Inderscience Publishers

    Senthil kumar Arumugasamy, Dr Zainal Ahmad

  11. Review on how the FANN improve the model prediction control

    Article • Chemical Product and Process Modeling, January 2009, De Gruyter

    Dr Zainal Ahmad, Senthil kumar Arumugasamy