Get started
Author

Senthil Kumar Arumugasamy

Observed names: Arumugasamy, Senthil Kumar, Senthil Arumugasamy, Senthil K. Arumugasamy, Senthil Kumar Senthil, Senthilkumar Arumugasamy
ORCID: 0000-0002-8169-3624
Observed ORCID: 0000-0002-8169-3624
OpenAlex ID: A5048414247
Optimisation and performance evaluation of response surface methodology (RSM), artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in the prediction of biogas production from palm oil mill effluent (POME)
2022 · Daniel Jia Sheng Chong, Yi Jing Chan, et al. · Energy · 118
Treatment of palm oil mill effluent (POME) using chickpea (Cicer arietinum) as a natural coagulant and flocculant: Evaluation, process optimization and characterization of chickpea powder
2018 · Brian Lee Choong Lek, Angela Paul Peter, et al. · Journal of environmental chemical engineering · 110
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 aqueous solution using biochar derived from rambutan (Nephelium lappaceum) peel
2020 · Yong Jie Wong, Senthil Kumar Arumugasamy, et al. · Environmental Monitoring and Assessment · 106
Development of polyhydroxyalkanoates production from waste feedstocks and applications
2018 · Harshini Pakalapati, Chih-Kai Chang, et al. · Journal of Bioscience and Bioengineering · 103
Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review
2024 · Jordan Yao Xing Ling, Yi Jing Chan, et al. · Environmental Science and Pollution Research · 74
Utilisation of natural plant-based fenugreek (Trigonella foenum-graecum) coagulant and okra (Abelmoschus escluentus) flocculant for palm oil mill effluent (POME) treatment
2020 · Farah Amira Binti Mohammad Lanan, Anurita Selvarajoo, et al. · Journal of environmental chemical engineering · 71
An experimental and modelling approach to produce biochar from banana peels through pyrolysis as potential renewable energy resources
2019 · Anurita Selvarajoo, Dinie Muhammad, et al. · Modeling Earth Systems and Environment · 54
Prediction of carbon sequestration of biochar produced from biomass pyrolysis by artificial neural network
2022 · Jing Xuan Tee, Anurita Selvarajoo, et al. · Journal of environmental chemical engineering · 49
Adsorption of Copper(II) Ion from Aqueous Solution Using Biochar Derived from Rambutan (Nepheliumlappaceum) Peel: Feedforward Neural Network Modelling Study
2017 · Manimala Selvanathan, Khoo Tiong Yann, et al. · Water Air & Soil Pollution · 48
Optimizing biogas production from palm oil mill effluent utilizing integrated machine learning and response surface methodology framework
2023 · Viggy Wee Gee Tan, Yi Jing Chan, et al. · Journal of Cleaner Production · 47
Microwave-assisted pyrolysis for carbon catalyst, nanomaterials and biofuel production
2021 · Nagamalai Sakthi Vignesh, Michael Rahul Soosai, et al. · Fuel · 44
Data augmentation and machine learning techniques for control strategy development in bio-polymerization process
2022 · Sizhou Wei, Zhiyuan Chen, et al. · Environmental Science and Ecotechnology · 42
PDF
Outlook on biorefinery potential of palm oil mill effluent for resource recovery
2020 · Wen Yi Chia, Yen Yee Chong, et al. · Journal of environmental chemical engineering · 41
Fenugreek seeds and okra for the treatment of palm oil mill effluent (POME) – Characterization studies and modeling with backpropagation feedforward neural network (BFNN)
2020 · Isabelle Tay Sui Kim, Vasanthi Sethu, et al. · Journal of Water Process Engineering · 36
Predicting microbial fuel cell biofilm communities and power generation from wastewaters with artificial neural network
2023 · Chiy En Lim, Chien Ley Chew, et al. · International Journal of Hydrogen Energy · 27
Process modelling and optimisation of methane yield from palm oil mill effluent using response surface methodology and artificial neural network
2023 · Jia Win Chen, Yi Jing Chan, et al. · Journal of Water Process Engineering · 27
Potential of Biochar as Soil Amendment: Prediction of Elemental Ratios from Pyrolysis of Agriculture Biomass Using Artificial Neural Network
2022 · Yi Wei Liew, Senthil Kumar Arumugasamy, et al. · Water Air & Soil Pollution · 27
Optimisation of anaerobic digestion of palm oil mill effluent with biochar addition: Synergistic application of Artificial neural network and response Surface Methodology
2025 · Pui Yan Chang, Yi Jing Chan, et al. · Fuel · 24
Development of a computational predictive model for the nonlinear in-plane compressive response of sandwich panels with bio-foam
2019 · Yong Jie Wong, Senthil Kumar Arumugasamy, et al. · Composite Structures · 24
Optimization and modelling of enzymatic polymerization of ε-caprolactone to polycaprolactone using Candida Antartica Lipase B with response surface methodology and artificial neural network
2018 · Harshini Pakalapati, Mohammad Asad Tariq, et al. · Enzyme and Microbial Technology · 24
Artificial Neural Network (ANN) Modelling of Palm Oil Mill Effluent (POME) Treatment with Natural Bio-coagulants
2020 · Nurul Asyikin Mohd Najib, Vasanthi Sethu, et al. · Environmental Processes · 23
Artificial neural networks modelling: Gasification behaviour of palm fibre biochar
2020 · Senthil Kumar Arumugasamy, Anurita Selvarajoo, et al. · Materials Science for Energy Technologies · 22
PDF
Performance comparison of feedforward neural network training algorithms in modeling for synthesis of polycaprolactone via biopolymerization
2018 · Y. J. Wong, Senthil Kumar Arumugasamy, et al. · Clean Technologies and Environmental Policy · 22
Stability of biochar derived from banana peel through pyrolysis as alternative source of nutrient in soil: feedforward neural network modelling study
2022 · Hong Kai Bong, Anurita Selvarajoo, et al. · Environmental Monitoring and Assessment · 21
Paddy straw as a biomass feedstock for the manufacturing of bioethanol using acid hydrolysis and parametric optimization through response surface methodology and an artificial neural network
2024 · Mani Jayakumar, Tissahlini Thiyagar, et al. · Biomass Conversion and Biorefinery · 20
Works count: 71
Citation count: 1,416
H-index: 22
I10-index: 34
Year
Topic
Type