Applications of artificial intelligence in anaerobic co-digestion: Recent advances and prospects

M Khan, W Chuenchart, KC Surendra, SK Khanal - Bioresource technology, 2023 - Elsevier
Anaerobic co-digestion (AcoD) offers several merits such as better digestibility and process
stability while enhancing methane yield due to synergistic effects. Operation of an efficient …

[HTML][HTML] Improving the combustion and emission performance of a diesel engine powered with mahua biodiesel and TiO2 nanoparticles additive

CJ Sarma, P Sharma, BJ Bora, DK Bora… - Alexandria Engineering …, 2023 - Elsevier
The dwindling air quality and diminishing fossil fuel reserves have led to an increase in the
need for alternative sources of fuel. Biodiesel derived from animal/plant sources seems to be …

[HTML][HTML] Artificial intelligence based modelling and hybrid optimization of linseed oil biodiesel with graphene nanoparticles to stringent biomedical safety and …

PM Rao, SH Dhoria, SGK Patro, RK Gopidesi… - Case Studies in Thermal …, 2023 - Elsevier
In this work, experiments were carried out in line with Design of Experiments (DOE)
standards to assess the performance and emission features of 5% graphene nanoparticles …

Modelling of Nicotiana Tabacum L. oil biodiesel production: comparison of ANN and ANFIS

OD Samuel, MO Okwu, LK Tartibu, SO Giwa… - Frontiers in Energy …, 2021 - frontiersin.org
Among the modern computational techniques, Artificial Neural Network (ANN) and Adaptive
Neuro-Fuzzy Inference System (ANFIS) are preferred because of their ability to deal with …

Effective design of sustainable energy productivity based on the experimental investigation of the humidification-dehumidification-desalination system using hybrid …

DU Lawal, J Usman, SI Abba, LT Yogarathinam… - Energy Conversion and …, 2024 - Elsevier
Reliable and cost-effective industrial-based sustainable desalination technologies are
crucial for efficient and effective desalination of saline water. Seawater desalination …

Optimization and prediction of biogas yield from pretreated Ulva Intestinalis Linnaeus applying statistical-based regression approach and machine learning algorithms

UO Aigbe, KE Ukhurebor, AO Osibote, MA Hassaan… - Renewable Energy, 2024 - Elsevier
A statistical-based regression approach and machine learning (ML) algorithms (response
surface methodology (RSM), feed-forward backpropagation artificial neural network (ANN) …

[HTML][HTML] Modelling of thermal shrinkage of seamless steel pipes using artificial neural networks (ANN) focussing on the influence of the ANN architecture

R Langbauer, G Nunner, T Zmek, J Klarner… - Results in …, 2023 - Elsevier
This paper presents two main novel findings.(1) The first finding is the development of an
artificial neural network (ANN) model for thermal shrinkage of seamless steel pipes, which …

[HTML][HTML] Enhancing oxidative stability of biodiesel using fruit peel waste extracts blend: Comparison of predictive modelling via RSM and ANN techniques

U Bello, NA Amran, MSH Ruslan, EH Yáñez… - Results in …, 2024 - Elsevier
This work harnessed the potentials of banana, mango, and palm fruit peels as green
sources of natural antioxidants whose liquid extracts were recovered via supercritical fluid …

Electrokinetic assisted anaerobic digestion of spent mushroom substrate supplemented with sugar mill wastewater for enhanced biogas production

P Kumar, V Kumar, J Singh, P Kumar - Renewable Energy, 2021 - Elsevier
This study investigated electrokinetic assisted anaerobic digestion of spent mushroom
substrate supplemented with sugar mill wastewater for enhanced biogas production …

Modeling of sugarcane bagasse conversion to levulinic acid using response surface methodology (RSM), artificial neural networks (ANN), and fuzzy inference system …

M Ogedjo, A Kapoor, PS Kumar, G Rangasamy… - Fuel, 2022 - Elsevier
Levulinic acid is recognized as a prominent value-added chemical that can be obtained from
bioresources and has versatile industrial applications. This work reports bioprocess …