Machine learning technology in biodiesel research: A review

M Aghbashlo, W Peng, M Tabatabaei… - Progress in Energy and …, 2021 - Elsevier
Biodiesel has the potential to significantly contribute to making transportation fuels more
sustainable. Due to the complexity and nonlinearity of processes for biodiesel production …

State-of-the-art review on recent advances in polymer engineering: modeling and optimization through response surface methodology approach

A Boublia, SEI Lebouachera, N Haddaoui, Z Guezzout… - Polymer Bulletin, 2023 - Springer
Composites, blends, and polymer membranes are all examples of processes that may
benefit from response surface methodology (RSM) to optimize material characteristics. RSM …

A review on machine learning approaches for microalgae cultivation systems

T Syed, F Krujatz, Y Ihadjadene, G Mühlstädt… - Computers in Biology …, 2024 - Elsevier
Microalgae plays a crucial role in biomass production within aquatic environments and are
increasingly recognized for their potential in generating biofuels, biomaterials, bioactive …

Rapid fabrication of monodisperse PMMA microspheres through dispersion photopolymerization under green LED irradiation

S Yu, Y Zhou, C Zhao, H Liu, Z Xue, J Xing - Reactive and Functional …, 2023 - Elsevier
Dispersion photopolymerization was carried out under green LED irradiation to rapidly
prepare monodisperse poly (methyl methacrylate)(PMMA) microspheres with small size by …

Artificial neural network (ANN) modelling of palm oil mill effluent (POME) treatment with natural bio-coagulants

NA Mohd Najib, V Sethu, SK Arumugasamy… - Environmental …, 2020 - Springer
Raw palm oil mill effluent (POME) is classified as a highly polluting effluent, which needs to
be treated to an acceptable level before being discharged into water bodies. Currently …

Predictive modeling of a leaf conceptual midpoint quasi-color (CMQ) using an artificial neural network

I Simko - Sensors, 2020 - mdpi.com
The color of plant leaves is moderated by the content of pigments, which can show
considerable dorsiventral distribution. Two typical examples are leafy vegetables and …

Deep learning techniques for polycaprolactone molecular weight prediction via enzymatic polymerization process

KW You, SK Arumugasamy - Journal of the Taiwan Institute of Chemical …, 2020 - Elsevier
Polycaprolactone (PCL) is a widely used polyester in biomedical field conventionally
synthesized under harsh conditions such as high reaction temperature, long reaction time …

Selection of performance indicators on dielectric strength and viscosity for chlorinated polyvinyl chloride with N-Methyl-2-pyrrolidone: Optimization using central …

SK Shanmugaya Pandian… - Proceedings of the …, 2024 - journals.sagepub.com
N-methyl-2-pyrrolidone is a highly polar aprotic solvent that is frequently utilized across a
broad range of applications in industry. The composition of chlorinated polyvinyl chloride is …

Synthesis of poly(4-aminosalicylic acid) through enzymatic and oxidative polycondensation by H2O2 oxidant

İ Kaya, HK Yağmur - Iranian Polymer Journal, 2022 - Springer
Aromatic compounds containing hydroxyl and amine groups in their structure are converted
into oligomers or polymers through oxidative polymerization in water or organic solvent …

Prediction of polycaprolactone molecular weight synthesized via enzymatic polymerization process: comparing training algorithms of artificial neural network modeling

MA Tariq, SK Arumugasamy - Process Integration and Optimization for …, 2022 - Springer
Abstract Poly-ε-caprolactone (PCL), a polymer widely used in biomedical field especially as
implantable biomaterial as it is easily biodegradable. It is also Food and Drug Administration …