Two-stage biohydrogen and methane production from sugarcane-based sugar and ethanol industrial wastes: A comprehensive review
P Sukphun, W Wongarmat, T Imai, S Sittijunda… - Bioresource …, 2023 - Elsevier
The transition to renewable energy sources is crucial to ensure a sustainable future.
Although the sugar and ethanol industries benefit from this transition, there are untapped …
Although the sugar and ethanol industries benefit from this transition, there are untapped …
Tree-based machine learning model for visualizing complex relationships between biochar properties and anaerobic digestion
The ideal conditions for anaerobic digestion experiments with biochar addition are
challenging to thoroughly study due to different experimental purposes. Therefore, three tree …
challenging to thoroughly study due to different experimental purposes. Therefore, three tree …
Microbial volatile organic compounds as novel indicators of anaerobic digestion instability: potential and challenges
The wide application of anaerobic digestion (AD) technology is limited by process
fluctuations. Thus, process monitoring based on screening state parameters as early …
fluctuations. Thus, process monitoring based on screening state parameters as early …
Artificial intelligence and machine learning for smart bioprocesses
SK Khanal, A Tarafdar, S You - Bioresource Technology, 2023 - Elsevier
In recent years, the digital transformation of bioprocesses, which focuses on
interconnectivity, online monitoring, process automation, artificial intelligence (AI) and …
interconnectivity, online monitoring, process automation, artificial intelligence (AI) and …
Prediction of composting maturity and identification of critical parameters for green waste compost using machine learning
Y Li, Z Xue, S Li, X Sun, D Hao - Bioresource Technology, 2023 - Elsevier
Ensuring the maturity of green waste compost is crucial to composting processes and quality
control of compost products. However, accurate prediction of green waste compost maturity …
control of compost products. However, accurate prediction of green waste compost maturity …
Novel cofactor regeneration-based magnetic metal–organic framework for cascade enzymatic conversion of biomass-derived bioethanol to acetoin
Upgrading biomass-derived bioethanol to higher-order alcohols using conventional
biotechnological approaches is challenging. Herein, a novel, magnetic metal–organic …
biotechnological approaches is challenging. Herein, a novel, magnetic metal–organic …
Machine learning approach for determining and optimizing influential factors of biogas production from lignocellulosic biomass
A Sonwai, P Pholchan, N Tippayawong - Bioresource Technology, 2023 - Elsevier
Abstract Machine learning (ML) was used to predict specific methane yields (SMY) with a
dataset of 14 features from lignocellulosic biomass (LB) characteristics and operating …
dataset of 14 features from lignocellulosic biomass (LB) characteristics and operating …
Machine learning-based optimization of catalytic hydrodeoxygenation of biomass pyrolysis oil
X Chen, A Shafizadeh, H Shahbeik, S Rafiee… - Journal of Cleaner …, 2024 - Elsevier
Bio-oil derived from biomass pyrolysis contains various oxygenated compounds,
compromising its quality. Catalytic hydrodeoxygenation (HDO) holds promise for upgrading …
compromising its quality. Catalytic hydrodeoxygenation (HDO) holds promise for upgrading …
Metaheuristic optimization of data preparation and machine learning hyperparameters for prediction of dynamic methane production
A Meola, M Winkler, S Weinrich - Bioresource Technology, 2023 - Elsevier
Abstract Machine learning algorithms provide detailed description of the anaerobic digestion
process, but the impact of data preparation procedures and hyperparameter optimization …
process, but the impact of data preparation procedures and hyperparameter optimization …
[HTML][HTML] State estimation of a biogas plant based on spectral analysis using a combination of machine learning and metaheuristic algorithms
LA Putra, M Köstler, M Grundwürmer, L Li, B Huber… - Applied Energy, 2025 - Elsevier
The continuous monitoring of the state variables of a biogas plant remains a challenge due
to the necessity of an appropriate measuring device. The collection, transportation, and …
to the necessity of an appropriate measuring device. The collection, transportation, and …