AIMC Topic: Bioreactors

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Predicting thermodynamic adhesion energies of membrane fouling in planktonic anammox MBR via backpropagation neural network model.

Bioresource technology Jun 18, 2024
Predicting thermodynamic adhesion energies was a critical strategy for mitigating membrane fouling. This study utilized a backpropagation (BP) neural network model to predict the thermodynamic adhesion energies associated with membrane fouling in a p...
Biofouling Membranes, Artificial Thermodynamics Neural Networks, Computer Anaerobiosis Bioreactors Plankton
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Application of a generalized hybrid machine learning model for the prediction of HS and VOCs removal in a compact trickle bed bioreactor (CTBB).

Chemosphere Apr 27, 2024
This study presents a generalized hybrid model for predicting HS and VOCs removal efficiency using a machine learning model: K-NN (K - nearest neighbors) and RF (random forest). The approach adopted in this study enabled the (i) identification of odo...
Bioreactors Odorants Waste Disposal, Fluid Air Pollutants Volatile Organic Compounds Hydrogen Sulfide Machine Learning
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A data-driven approach for revealing the linkages between differences in electrochemical properties of biochar during anaerobic digestion using automated machine learning.

The Science of the total environment Apr 7, 2024
Biochar is commonly used to enhance the anaerobic digestion of organic waste solids and wastewater, due to its electrochemical properties, which intensify the electron transfer of microorganisms attached to its large surface area. However, it is diff...
Machine Learning Anaerobiosis Charcoal Bioreactors Wastewater Waste Disposal, Fluid
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Machine learning for high solid anaerobic digestion: Performance prediction and optimization.

Bioresource technology Apr 4, 2024
Biogas production through anaerobic digestion (AD) is one of the complex non-linear biological processes, wherein understanding its dynamics plays a crucial role towards process control and optimization. In this work, a machine learning based biogas ...
Machine Learning Algorithms Bioreactors Biofuels Support Vector Machine Anaerobiosis
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Optimizing neural network algorithms for submerged membrane bioreactor: A comparative study of OVAT and RSM hyperparameter optimization techniques.

Water science and technology : a journal of the International Association on Water Pollution Research Mar 26, 2024
Hyperparameter tuning is an important process to maximize the performance of any neural network model. This present study proposed the factorial design of experiment for screening and response surface methodology to optimize the hyperparameter of two...
Computer Simulation Bioreactors Neural Networks, Computer Algorithms
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Statistical versus neural network-embedded swarm intelligence optimization of a metallo-neutral-protease production: activity kinetics and food industry applications.

Preparative biochemistry & biotechnology Mar 16, 2024
An integrated approach involving response surface methodology (RSM) and artificial neural network-ant-colony hybrid optimization (ANN-ACO) was adopted to develop a bioprocess medium to increase the yield of neutral protease under submerged fermentat...
Food Industry Bacillus cereus Peptide Hydrolases Neural Networks, Computer Hydrogen-Ion Concentration Culture Media Fermentation Bioreactors Kinetics
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Development of a robotic cluster for automated and scalable cell therapy manufacturing.

Cytotherapy Mar 15, 2024
BACKGROUND AIMS: The production of commercial autologous cell therapies such as chimeric antigen receptor T cells requires complex manual manufacturing processes. Skilled labor costs and challenges in manufacturing scale-out have contributed to high ...
Robotics Bioreactors Automation Cell Culture Techniques Immunotherapy, Adoptive Receptors, Chimeric Antigen Cell- and Tissue-Based Therapy CD8-Positive T-Lymphocytes Humans
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Effects of CO concentration and time on algal biomass film, NO3-N concentration, and pH in the membrane bioreactor: Simulation-based ANN, RSM and NSGA-II.

Journal of environmental management Dec 19, 2023
The practice of aquaculture is associated with the generation of a substantial quantity of effluent. Microalgae must effectively assimilate nitrogen and phosphorus from their surrounding environment for growth. This study modeled the algal biomass fi...
Hydrogen-Ion Concentration Carbon Dioxide Neural Networks, Computer Biomass Bioreactors
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Neuro-fuzzy modelling of a continuous stirred tank bioreactor with ceramic membrane technology for treating petroleum refinery effluent: a case study from Assam, India.

Bioprocess and biosystems engineering Dec 12, 2023
A continuous stirred tank bioreactor (CSTB) with cell recycling combined with ceramic membrane technology and inoculated with Rhodococcus opacus PD630 was employed to treat petroleum refinery wastewater for simultaneous chemical oxygen demand (COD) r...
Petroleum Artificial Intelligence Waste Disposal, Fluid Bioreactors Ceramics Lipids Bayes Theorem
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Smart Sensor Control and Monitoring of an Automated Cell Expansion Process.

Sensors (Basel, Switzerland) Dec 7, 2023
Immune therapy for cancer patients is a new and promising area that in the future may complement traditional chemotherapy. The cell expansion phase is a critical part of the process chain to produce a large number of high-quality, genetically modifie...
Consensus Bioreactors Humans Cell Proliferation Machine Learning
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