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Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
The excessive reliance on fossil fuels has resulted in an energy crisis, environmental
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …
Hybrid modeling in bioprocess dynamics: Structural variabilities, implementation strategies, and practical challenges
B Mahanty - Biotechnology and Bioengineering, 2023 - Wiley Online Library
Hybrid modeling, with an appropriate blend of the mechanistic and data‐driven framework,
is increasingly being adopted in bioprocess modeling, model‐based experimental design …
is increasingly being adopted in bioprocess modeling, model‐based experimental design …
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
Hydrothermal carbonization (HTC) is a process that converts biomass into versatile
hydrochar without the need for prior drying. The physicochemical properties of hydrochar …
hydrochar without the need for prior drying. The physicochemical properties of hydrochar …
Artificial intelligence and machine learning for smart bioprocesses
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 …
Integrated machine learning methods with oversampling technique for regional suitability prediction of waste-to-energy incineration projects
Y Hou, Q Wang, K Zhou, L Zhang, T Tan - Waste Management, 2024 - Elsevier
China's tiered strategy to enhance county-level waste incineration for energy aligns with the
sustainable development goals (SDGs), emphasizing the need for comprehensive …
sustainable development goals (SDGs), emphasizing the need for comprehensive …
Challenges and opportunities in bioprocessing of gellan gum: A review
Gellan gum (GG)—the microbial exopolysaccharide is increasingly being adopted into drug
development, tissue engineering, and food and pharmaceutical products. In spite of the …
development, tissue engineering, and food and pharmaceutical products. In spite of the …
Harnessing artificial intelligence for enhanced bioethanol productions: a cutting-edge approach towards sustainable energy solution
CS Damian, Y Devarajan… - International Journal of …, 2024 - degruyter.com
The adoption of biofuels as an energy source has experienced a substantial increase,
exceeding the consumption of fossil fuels. The shift can be ascribed to the availability of …
exceeding the consumption of fossil fuels. The shift can be ascribed to the availability of …
A comprehensive review of heat pump wood drying technologies
Wood drying is one of the most energy-intensive processes in lumber production, and most
wood drying kilns rely on combustion for the process heating. Heat pumps are a promising …
wood drying kilns rely on combustion for the process heating. Heat pumps are a promising …
Data driven multiple objective optimization of AAO process towards wastewater effluent biological toxicity reduction
J Hu, R Yin, J Wang, H Ren - npj Clean Water, 2024 - nature.com
While the anaerobic-anoxic-oxic (AAO) process is the most widely applied biological
wastewater treatment process in municipal wastewater treatment plants (WWTPs), it …
wastewater treatment process in municipal wastewater treatment plants (WWTPs), it …
[HTML][HTML] Recent advances in the biosynthesis and production optimization of gentamicin: A critical review
F Xu, K Hu, A Mohsin, J Wu, L Su, Y Wang… - Synthetic and Systems …, 2024 - Elsevier
Gentamicin, an aminoglycoside antibiotic, is generated by a few species within the genus
Micromonospora and has garnered significant attention due to its broad-spectrum efficacy in …
Micromonospora and has garnered significant attention due to its broad-spectrum efficacy in …