AIMC Topic: Bioreactors

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Supporting data-enhanced hybrid ordinary differential equation model for phosphate dynamics in municipal wastewater treatment.

Bioresource technology Aug 6, 2024
A parallel hybrid ordinary differential equation (ODE) integrating the Activated Sludge Model No. 2d (ASM2d) and an artificial neural network (ANN) was developed to simulate biological phosphorus removal (BPR) with high accuracy and interpretability....
Water Purification Cities Waste Disposal, Fluid Neural Networks, Computer Wastewater Phosphorus Sewage Phosphates Models, Theoretical Bioreactors
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Artificial neural network modeling for the prediction, estimation, and treatment of diverse wastewaters: A comprehensive review and future perspective.

Chemosphere Jul 15, 2024
The application of artificial neural networks (ANNs) in the treatment of wastewater has achieved increasing attention, as it enhances the efficiency and sustainability of wastewater treatment plants (WWTPs). This paper explores the application of ANN...
Water Pollutants, Chemical Bioreactors Phosphorus Biological Oxygen Demand Analysis Nitrogen Water Purification Waste Disposal, Fluid Neural Networks, Computer Wastewater
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Reinforcement learning based temperature control of a fermentation bioreactor for ethanol production.

Biotechnology and bioengineering Jun 27, 2024
Ethanol production is a significant industrial bioprocess for energy. The primary objective of this study is to control the process reactor temperature to get the desired product, that is, ethanol. Advanced model-based control systems face challenges...
Fermentation Bioreactors Models, Biological Temperature Ethanol Machine Learning Algorithms
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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 Bioreactors Plankton Anaerobiosis
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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...
Machine Learning Waste Disposal, Fluid Bioreactors Odorants Air Pollutants Volatile Organic Compounds Hydrogen Sulfide
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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 ...
Anaerobiosis Bioreactors Biofuels Machine Learning Algorithms Support Vector Machine
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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...
Bacillus cereus Peptide Hydrolases Fermentation Food Industry Bioreactors Kinetics Hydrogen-Ion Concentration Neural Networks, Computer Culture Media
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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 ...
Bioreactors Automation Immunotherapy, Adoptive Cell- and Tissue-Based Therapy Cell Culture Techniques CD8-Positive T-Lymphocytes Robotics Humans Receptors, Chimeric Antigen
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