| Development of polyhydroxyalkanoates production from waste feedstocks and applications H Pakalapati, CK Chang, PL Show, SK Arumugasamy, JCW Lan Journal of bioscience and bioengineering 126 (3), 282-292, 2018 | 112 | 2018 |
| Treatment of palm oil mill effluent (POME) using chickpea (Cicer arietinum) as a natural coagulant and flocculant: Evaluation, process optimization and characterization of … BLC Lek, AP Peter, KHQ Chong, P Ragu, V Sethu, A Selvarajoo, ... Journal of environmental chemical engineering 6 (5), 6243-6255, 2018 | 106 | 2018 |
| Comparative study of artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS) and multiple linear regression (MLR) for modeling of Cu (II) adsorption from … YJ Wong, SK Arumugasamy, CH Chung, A Selvarajoo, V Sethu Environmental monitoring and assessment 192 (7), 439, 2020 | 88 | 2020 |
| Model predictive control (MPC) and its current issues in chemical engineering AS Kumar, Z Ahmad Chemical Engineering Communications 199 (4), 472-511, 2012 | 75 | 2012 |
| Utilisation of natural plant-based fenugreek (Trigonella foenum-graecum) coagulant and okra (Abelmoschus escluentus) flocculant for palm oil mill effluent (POME) treatment FABM Lanan, A Selvarajoo, V Sethu, SK Arumugasamy Journal of Environmental Chemical Engineering 9 (1), 104667, 2021 | 54 | 2021 |
| Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the … DJS Chong, YJ Chan, SK Arumugasamy, SK Yazdi, JW Lim Energy 266, 126449, 2023 | 44 | 2023 |
| Adsorption of copper (II) ion from aqueous solution using biochar derived from rambutan (nepheliumlappaceum) peel: feedforward neural network modelling study M Selvanathan, KT Yann, CH Chung, A Selvarajoo, SK Arumugasamy, ... Water, Air, & Soil Pollution 228, 1-19, 2017 | 42 | 2017 |
| An experimental and modelling approach to produce biochar from banana peels through pyrolysis as potential renewable energy resources A Selvarajoo, D Muhammad, SK Arumugasamy Modeling Earth Systems and Environment 6, 115-128, 2020 | 41 | 2020 |
| Outlook on biorefinery potential of palm oil mill effluent for resource recovery WY Chia, YY Chong, KW Chew, E Vimali, M Jayaram, A Selvarajoo, ... Journal of Environmental Chemical Engineering 8 (6), 104519, 2020 | 35 | 2020 |
| Fenugreek seeds and okra for the treatment of palm oil mill effluent (POME)–Characterization studies and modeling with backpropagation feedforward neural network (BFNN) ITS Kim, V Sethu, SK Arumugasamy, A Selvarajoo Journal of Water Process Engineering 37, 101500, 2020 | 30 | 2020 |
| Microwave-assisted pyrolysis for carbon catalyst, nanomaterials and biofuel production NS Vignesh, MR Soosai, WY Chia, SN Wahid, P Varalakshmi, ... Fuel 313, 123023, 2022 | 24 | 2022 |
| Optimization and modelling of enzymatic polymerization of ε-caprolactone to polycaprolactone using Candida Antartica Lipase B with response surface methodology and artificial … H Pakalapati, MA Tariq, SK Arumugasamy Enzyme and microbial technology 122, 7-18, 2019 | 24 | 2019 |
| Feedforward neural network modeling of biomass pyrolysis process for biochar production SK Arumugasamy, A Selvarajoo Chemical engineering transaction, 2015 | 24 | 2015 |
| Recent advancement in biomedical applications of polycaprolactone and polycaprolactone-based materials NPD Dhanasekaran, KS Muthuvelu, SK Arumugasamy Elsevier, 2022 | 23 | 2022 |
| Prediction of carbon sequestration of biochar produced from biomass pyrolysis by artificial neural network JX Tee, A Selvarajoo, SK Arumugasamy Journal of Environmental Chemical Engineering 10 (3), 107640, 2022 | 22 | 2022 |
| Artificial neural networks modelling: gasification behaviour of palm fibre biochar SK Arumugasamy, A Selvarajoo, MA Tariq Materials Science for Energy Technologies 3, 868-878, 2020 | 22 | 2020 |
| Performance comparison of feedforward neural network training algorithms in modeling for synthesis of polycaprolactone via biopolymerization YJ Wong, SK Arumugasamy, J Jewaratnam Clean Technologies and Environmental Policy 20 (9), 1971-1986, 2018 | 21 | 2018 |
| Data augmentation and machine learning techniques for control strategy development in bio-polymerization process S Wei, Z Chen, SK Arumugasamy, IML Chew Environmental Science and Ecotechnology 11, 100172, 2022 | 19 | 2022 |
| Enhancement of lipid accumulation in microalga Desmodesmus sp. VV2: Response Surface Methodology and Artificial Neural Network modeling for biodiesel production E Vimali, AS Kumar, NS Vignesh, B Ashokkumar, A Dhakshinamoorthy, ... Chemosphere 293, 133477, 2022 | 18 | 2022 |
| Potential of biochar as soil amendment: prediction of elemental ratios from pyrolysis of agriculture biomass using artificial neural network YW Liew, SK Arumugasamy, A Selvarajoo Water, Air, & Soil Pollution 233 (2), 54, 2022 | 18 | 2022 |
