A review on microbial lipases production
This review paper provides an overview regarding the main aspects of microbial lipases
production. The most important microbial lipase-producing strains for submerged and solid …
production. The most important microbial lipase-producing strains for submerged and solid …
Artificial neural networks: an efficient tool for modelling and optimization of biofuel production (a mini review)
Y Sewsynker-Sukai, F Faloye… - Biotechnology & …, 2017 - Taylor & Francis
In view of the looming energy crisis as a result of depleting fossil fuel resources and
environmental concerns from greenhouse gas emissions, the need for sustainable energy …
environmental concerns from greenhouse gas emissions, the need for sustainable energy …
Predicting steady-state biogas production from waste using advanced machine learning-metaheuristic approaches
This research offers a fast and accurate method for measuring the biogas production rate
throughout biogas production. An agricultural biogas plant's measurement of eight process …
throughout biogas production. An agricultural biogas plant's measurement of eight process …
Modeling and optimization of biogas production on saw dust and other co-substrates using artificial neural network and genetic algorithm
The joint challenge of global pollution and depletion of fossil fuels is driving intense search
into alternative renewable sources. This paper reports the modeling and optimization of …
into alternative renewable sources. This paper reports the modeling and optimization of …
Artificial intelligence aided lipase production and engineering for enzymatic performance improvement
F Ge, G Chen, M Qian, C Xu, J Liu, J Cao… - Journal of Agricultural …, 2023 - ACS Publications
With the development of artificial intelligence (AI), tailoring methods for enzyme engineering
have been widely expanded. Additional protocols based on optimized network models have …
have been widely expanded. Additional protocols based on optimized network models have …
Artificial neural network prediction of the biogas flow rate optimised with an ant colony algorithm
T Beltramo, C Ranzan, J Hinrichs, B Hitzmann - Biosystems Engineering, 2016 - Elsevier
Highlights•Simulation of the co-digestion of two agricultural substrates was performed.•To
predict the biogas flow rate the neural logic was employed.•The optimisation was done with …
predict the biogas flow rate the neural logic was employed.•The optimisation was done with …
Artificial neural network hybridized with a genetic algorithm for optimization of lipase production from Penicillium roqueforti ATCC 10110 in solid-state fermentation
LHS de Menezes, LL Carneiro… - Biocatalysis and …, 2021 - Elsevier
In the present work, an artificial neural network hybridized with a genetic algorithm (ANN-
GA) has been applied to optimize Penicillium roqueforti ATCC 10110 lipase production in …
GA) has been applied to optimize Penicillium roqueforti ATCC 10110 lipase production in …
Performance and neural modeling of a compost-based biofilter treating a gas-phase mixture of benzene and xylene
HM Giang, NTH Nga, ER Rene, HN Ha… - Environmental Research, 2023 - Elsevier
Biofilter (BF) has been regarded as a versatile gas treatment technology for removing
volatile organic compounds (VOCs) from contaminated gas streams. In order for BF to be …
volatile organic compounds (VOCs) from contaminated gas streams. In order for BF to be …
[PDF][PDF] Lipases, its sources, properties and applications: a review
S Thakur - Int J Sci Eng Res, 2012 - academia.edu
This review paper provides an overview regarding the main aspects of microbial lipases
production. The most important microbial lipase-producing strains are reviewed as well as …
production. The most important microbial lipase-producing strains are reviewed as well as …
[HTML][HTML] Comparative analysis on the fuel consumption prediction model for bulk carriers from ship launching to current states based on sea trial data and machine …
TA Tran - Journal of Ocean Engineering and Science, 2021 - Elsevier
Abstract MARPOL 73/78, Chapter IV is considered to reveal the emission control
engineering on ships. The probability model of the fuel oil consumption is established based …
engineering on ships. The probability model of the fuel oil consumption is established based …