AIMC Topic: Microalgae

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Insights into the characteristics and toxicity of microalgal biochar-derived dissolved organic matter by spectroscopy and machine learning.

The Science of the total environment Nov 20, 2024
Microalgal biochar has potential applications in various fields; however, there is limited research on the properties and risks of microalgal biochar-derived dissolved organic matter (MBDOM). This study examined how different pyrolysis temperatures (...
Organic Chemicals Water Pollutants, Chemical Machine Learning Spectrum Analysis Microalgae Nitrogen Phosphorus Charcoal
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Graph-learning-based machine learning improves prediction and cultivation of commercial-grade marine microalgae Porphyridium.

Bioresource technology Nov 7, 2024
A graph learning [Binarized Attributed Network Embedding (BANE)] model enhances the single-target and multi-target prediction performances of random forest and eXtreme Gradient Boosting (XGBoost) by learning complex interrelationships between cultiva...
Microalgae Porphyridium Machine Learning Biomass
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Enhancing the content of phycoerythrin through the application of microplastics from Porphyridium cruentum produced in wastewater using machine learning methods.

Journal of environmental management Nov 6, 2024
Microalgae can produce secondary metabolites like phycoerythrin (Phy). The effects of some microplastics (MPs), wastewater (WW), and light intensity (LI) parameters, including complex data sets, on Phy concentration from Porphyridium cruentum were in...
Machine Learning Wastewater Porphyridium Phycoerythrin Microplastics Microalgae
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Machine learning in microalgae biotechnology for sustainable biofuel production: Advancements, applications, and prospects.

Bioresource technology Sep 29, 2024
This review explores the critical role of machine learning (ML) in enhancing microalgae bioprocesses for sustainable biofuel production. It addresses both technical and economic challenges in commercializing microalgal biofuels and examines how ML ca...
Microalgae Biofuels Neural Networks, Computer Machine Learning Biotechnology
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Low-carbon wastewater treatment and resource recovery of recirculating aquaculture system by immobilized chlorella vulgaris based on machine learning optimization.

Bioresource technology Aug 3, 2024
Immobilized microalgae biotechnologies can conserve water and space by low-carbon wastewater treatment and resource recovery in a recirculating aquaculture system (RAS). However, technical process parameters have been unoptimized considering the mutu...
Microalgae Alginates Cells, Immobilized Chlorella vulgaris Carbon Nitrogen Aquaculture Machine Learning Wastewater Water Purification Biomass
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Assessing global carbon sequestration and bioenergy potential from microalgae cultivation on marginal lands leveraging machine learning.

The Science of the total environment Jul 9, 2024
This comprehensive study unveils the vast global potential of microalgae as a sustainable bioenergy source, focusing on the utilization of marginal lands and employing advanced machine learning techniques to predict biomass productivity. By identifyi...
Machine Learning Biofuels Biomass Carbon Sequestration Microalgae
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Enhancing microalgae classification accuracy in marine ecosystems through convolutional neural networks and support vector machines.

Marine pollution bulletin Jun 26, 2024
Accurately classifying microalgae species is vital for monitoring marine ecosystems and managing the emergence of marine mucilage, which is crucial for monitoring mucilage phenomena in marine environments. Traditional methods have been inadequate due...
Support Vector Machine Biodiversity Microalgae Ecosystem Environmental Monitoring Neural Networks, Computer
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Investigating quantitative approach for microalgal biomass using deep convolutional neural networks and image recognition.

Bioresource technology May 24, 2024
The effective monitoring of microalgae cultivation is crucial for optimizing their energy utilization efficiency. In this paper, a quantitative analysis method, using microalgae images based on two convolutional neural networks, EfficientNet (EFF) an...
Algorithms Microalgae Image Processing, Computer-Assisted Biomass Neural Networks, Computer Rhodophyta Spirulina
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Fluoranthene biotreatment using prominent freshwater microalgae: physiological responses of microalgae and artificial neural network modeling of the bioremoval process.

International journal of phytoremediation Dec 12, 2023
Due to the intensified industrial activities and other anthropogenic actions, contamination of polycyclic aromatic hydrocarbons (PAHs) has been growing at an alarming rate, turning in to a serious environmental concern. Bioremediation, as an eco-frie...
Fluorenes Water Pollutants, Chemical Fresh Water Biodegradation, Environmental Neural Networks, Computer Microalgae
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Biohybrid Microalgae Robots: Design, Fabrication, Materials, and Applications.

Advanced materials (Deerfield Beach, Fla.) Nov 27, 2023
The integration of microorganisms and engineered artificial components has shown considerable promise for creating biohybrid microrobots. The unique features of microalgae make them attractive candidates as natural actuation materials for the design ...
Microalgae Robotics
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