Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Machine learning methods for the modelling and optimisation of biogas production from anaerobic digestion: a review
Biogas plant operators often face huge challenges in the monitoring, controlling and
optimisation of the anaerobic digestion (AD) process, as it is very sensitive to surrounding …
optimisation of the anaerobic digestion (AD) process, as it is very sensitive to surrounding …
[HTML][HTML] A systematic review of machine-learning solutions in anaerobic digestion
The use of machine learning (ML) in anaerobic digestion (AD) is growing in popularity and
improves the interpretation of complex system parameters for better operation and …
improves the interpretation of complex system parameters for better operation and …
[HTML][HTML] Enhanced predictive optimization of methane dry reforming via ResponseSurface methodology and artificial neural network approaches: insights using a …
This study investigates the molecular dynamics of methane dry reforming catalyzed by a
novel nickel-strontium-zirconium-aluminum (5Ni+ 3Sr/10Zr+ Al) catalyst, leveraging both …
novel nickel-strontium-zirconium-aluminum (5Ni+ 3Sr/10Zr+ Al) catalyst, leveraging both …
Multi-objective optimization for microbial electrolysis cell-assisted anaerobic digestion of swine manure
L Zou, X Zhao, K Wu, C Liang, J Liu, H Yang… - International Journal of …, 2024 - Elsevier
As a new technology, microbial electrolysis cell-assisted anaerobic digestion (MEC-AD) has
been applied to the utilization of swine manure. Methane production and total energy …
been applied to the utilization of swine manure. Methane production and total energy …
[HTML][HTML] Industrial-scale anaerobic Co-digestion (ACoD) of palm oil mill effluent (POME) and decanter cake (DC) for maximizing methane yield: An integrated machine …
This study employs machine learning (ML) algorithms, including multiple linear regression
(MLR), decision tree (DT) and support vector regression (SVR) to predict the methane yield …
(MLR), decision tree (DT) and support vector regression (SVR) to predict the methane yield …
[HTML][HTML] Derivation of optimal operation factors of anaerobic digesters through artificial neural network technology
Y Bao, R Koutavarapu, TG Lee - Systems, 2023 - mdpi.com
The anaerobic digestion of sewage sludge in South Korean wastewater treatment plants is
affected by seasonal factors and other influences, resulting in lower digestion efficiency and …
affected by seasonal factors and other influences, resulting in lower digestion efficiency and …
Renewable bioenergy from palm oil mill effluent (POME): A sustainable solution for net-zero emissions in palm oil production
Palm oil industries have an important role in economic development. The palm oil industry's
wastewater known as palm oil mill effluent (POME), is high in organic content and poses a …
wastewater known as palm oil mill effluent (POME), is high in organic content and poses a …
Artificial Neural Network-driven Optimization of Fe3O4 Nanoparticles/PVDF Macrospheres in Fenton-like System for Methylene Blue Degradation
Efficient degradation of industrial dyes remains a critical challenge in environmental
engineering. This study introduces a novel Fe 3 O 4 nanoparticles/PVDF macrospheres in a …
engineering. This study introduces a novel Fe 3 O 4 nanoparticles/PVDF macrospheres in a …
Incorporation of OA-APTES-MWCNTs into PS/PVP membranes for VMD desalination: Membrane composition optimization via Box–Behnken method
MB Eynolghasi, F Khodadadi, T Mohammadi… - Journal of Industrial and …, 2025 - Elsevier
The hydrophobicity of the membrane is paramount in membrane distillation (MD). In this
study, novel hydrophobic oleic acid-3-aminopropyltriethoxysilane-functionalized multi …
study, novel hydrophobic oleic acid-3-aminopropyltriethoxysilane-functionalized multi …
Konya atıksu arıtma tesisinde anaerobik çürütme ünitesinin yapay zeka kullanılarak optimizasyonu
A Saleh - 2024 - search.proquest.com
Metan üretiminin artırılması, atık su arıtma tesislerinin kendi kendine yeterliliğinin
artırılmasında çok önemlidir ve anaerobik çürütme, enerji geri kazanım ünitesi olarak hizmet …
artırılmasında çok önemlidir ve anaerobik çürütme, enerji geri kazanım ünitesi olarak hizmet …