AIMC Topic: Filtration
Clear Filters Showing 1 to 10 of 23 articles
Machine learning-driven optical microfiltration device for improved nanoplastic sampling and detection in water systems.
Journal of hazardous materials
May 1, 2025
The rising presence of nanoplastics in water poses toxicity risks and long-term ecological and health impacts. Detecting nanoplastics remains challenging due to their small size, complex chemistry, and environmental interference. Traditional filtrati...
Novel PVDF mixed matrix membranes incorporated with green synthesized magnesium oxide nanoparticles for enhanced dye removal: Optimization using RSM, SOLVER, and ANN approach.
Environmental research
Apr 16, 2025
The application of nanofiltration membrane technology for removing pollutant dyes from industrial wastewater represents a significant advance in environmental remediation. This research explores the development and performance evaluation of a novel P...
A machine learning based framework to tailor properties of nanofiltration and reverse osmosis membranes for targeted removal of organic micropollutants.
Water research
Oct 20, 2024
Nanofiltration (NF) and reverse osmosis (RO) membranes play an increasingly important role in the removal of organic micropollutants (OMPs), which puts higher demands on the customization of membranes suitable for OMPs removal based on the rejection ...
Loss of micropollutants on syringe filters during sample filtration: Machine learning approach for selecting appropriate filters.
Chemosphere
May 14, 2024
Prefiltration before chromatographic analysis is critical in the monitoring of environmental micropollutants (MPs). However, in an aqueous matrix, such monitoring often leads to out-of-specification results owing to the loss of MPs on syringe filters...
Spectral fusion-based machine learning classifiers for discriminating membrane breakage in multiple scenarios.
Water research
May 2, 2024
Membrane breakage can lead to filtration failure, which allows harmful substances to enter the effluent, posing potential hazards to human health and the environment. This study is an innovative combination of fluorescence and ultraviolet-visible (UV...
Applications of artificial intelligence (AI) in drinking water treatment processes: Possibilities.
Chemosphere
Apr 10, 2024
In water treatment processes (WTPs), artificial intelligence (AI) based techniques, particularly machine learning (ML) models have been increasingly applied in decision-making activities, process control and optimization, and cost management. At leas...
The intelligent prediction of membrane fouling during membrane filtration by mathematical models and artificial intelligence models.
Chemosphere
Dec 23, 2023
Recently, membrane separation technology has been widely utilized in filtration process intensification due to its efficient performance and unique advantages, but membrane fouling limits its development and application. Therefore, the research on me...
Modelling and optimization study to improve the filtration performance of fibrous filter.
Chemosphere
Dec 27, 2022
Fibrous filter made up of non-woven material was utilized in many industrial applications for increasing the collection efficiency and the quality factor. But there exists a competing effect among the fibre diameter, filtration efficiency, pressure d...
A Denoising and Fourier Transformation-Based Spectrograms in ECG Classification Using Convolutional Neural Network.
Sensors (Basel, Switzerland)
Dec 7, 2022
The non-invasive electrocardiogram (ECG) signals are useful in heart condition assessment and are found helpful in diagnosing cardiac diseases. However, traditional ways, i.e., a medical consultation required effort, knowledge, and time to interpret ...
Optimization of dewatering process of concentrate pressure filtering by support vector regression.
Scientific reports
May 17, 2022
This work studies the mechanism and optimization methods of the filter press dehydration process to better improve the efficiency of the concentrate filter press dehydration operation. Machine learning (ML) models of radial basis function (RBF)-OLS, ...
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