[HTML][HTML] Biodiesel production from mixed oils: A sustainable approach towards industrial biofuel production

S Brahma, B Nath, B Basumatary, B Das… - Chemical Engineering …, 2022 - Elsevier
Biodiesel is considered eco-friendly, biodegradable, non-toxic, and carbon-neutral fuel. It is
made from edible or non-edible oil feedstocks including other triglyceride sources. The …

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 …

COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach

G Pinter, I Felde, A Mosavi, P Ghamisi, R Gloaguen - Mathematics, 2020 - mdpi.com
Several epidemiological models are being used around the world to project the number of
infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate …

Production of renewable biodiesel using metal organic frameworks based materials as efficient heterogeneous catalysts

SF Basumatary, K Patir, B Das, P Saikia… - Journal of Cleaner …, 2022 - Elsevier
Biodiesel has emerged as a versatile alternative to fossil-derived fuels which is a renewable
and eco-friendly. The reactions via which biodiesel is synthesized from oil feedstocks are …

Multi-attribute optimization of sustainable aviation fuel production-process from microalgae source

Z Said, TH Nguyen, P Sharma, C Li, HM Ali, SF Ahmed… - Fuel, 2022 - Elsevier
The aviation sector has been one of the most significant contributors to greenhouse gas
(GHG) emissions; there is an urgent need to transition from traditional fossil-based jet fuel to …

Critical wind turbine components prognostics: A comprehensive review

M Rezamand, M Kordestani… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As wind energy is becoming a significant utility source, minimizing the operation and
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …

[HTML][HTML] Electrical efficiency of the photovoltaic/thermal collectors cooled by nanofluids: Machine learning simulation and optimization by evolutionary algorithm

Y Cao, E Kamrani, S Mirzaei, A Khandakar, B Vaferi - Energy Reports, 2022 - Elsevier
Abstract Photovoltaic/thermal (PV/T) are high-tech devices to transform solar radiation into
electrical and thermal energies. Nano-coolants are recently considered to enhance the …

Enhanced biodiesel production from wet microalgae biomass optimized via response surface methodology and artificial neural network

G Muhammad, ADP Ngatcha, Y Lv, W **ong… - Renewable Energy, 2022 - Elsevier
This study investigates modeling and optimal conditions for biodiesel production from
exceedingly wet microalgae Chlorella pyrenoidosa using the catalyst, hydrochloric acid …

[HTML][HTML] Machine learning approaches to modeling and optimization of biodiesel production systems: State of art and future outlook

NB Ishola, EI Epelle, E Betiku - Energy Conversion and Management: X, 2024 - Elsevier
One of the main limitations to the economic sustainability of biodiesel production remains
the high feedstock cost. Modeling and optimization are crucial steps to determine if …

Probabilistic framework with bayesian optimization for predicting typhoon-induced dynamic responses of a long-span bridge

YM Zhang, H Wang, JX Mao, ZD Xu… - Journal of Structural …, 2021 - ascelibrary.org
The long-span bridge, characterized by slenderness and flexibility, is particularly sensitive to
wind action. Extreme wind events, including typhoons and hurricanes, will threaten the …