AIMC Topic: Wastewater

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Saline wastewater treatment by bioelectrochemical process (BEC) based on Al-electrocoagulation and halophilic bacteria: optimization using ANN with new approach.

Environmental technology Sep 4, 2023
In the present study, a bioelectrochemical reactor (BEC) was utilized to treat two types of real saline produced water (PW). BEC was designed based on the combination of electrocoagulation (EC) process with halophilic microorganisms, and it was asses...
Water Pollutants, Chemical Electrochemical Techniques Bacteria Waste Disposal, Fluid Hydrocarbons Neural Networks, Computer Biological Oxygen Demand Analysis Wastewater Bioreactors Biodegradation, Environmental
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Deep learning in wastewater treatment: a critical review.

Water research Aug 25, 2023
Modeling wastewater processes supports tasks such as process prediction, soft sensing, data analysis and computer assisted design of wastewater systems. Wastewater treatment processes are large, complex processes, with multiple controlling mechanisms...
Wastewater Deep Learning
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Machine learning to predict environmental dose rates from a radionuclide therapy service - a proof of concept study.

Journal of radiological protection : official journal of the Society for Radiological Protection Jul 7, 2023
The Ionising Radiation Regulations 2017 requires prior risk assessment calculations and regular environmental monitoring of radiation doses. However, the accuracy of prior risk assessments is limited by assumptions and monitoring only provides retros...
Wastewater Prospective Studies Humans Machine Learning Proof of Concept Study Retrospective Studies Radioisotopes
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Machine learning approaches for data-driven process monitoring of biological wastewater treatment plant: A review of research works on benchmark simulation model No. 1(BSM1).

Environmental monitoring and assessment Jul 4, 2023
In the past decade, machine learning techniques have seen wide industrial applications for design of data-based process monitoring systems with an aim to improve industrial productivity. An efficient process monitoring system for wastewater treatment...
Waste Disposal, Fluid Environmental Monitoring Water Purification Prospective Studies Machine Learning Wastewater
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Artificial intelligence in wastewater treatment: A data-driven analysis of status and trends.

Chemosphere Jun 6, 2023
Wastewater treatment is a complex process that involves many uncertainties, leading to fluctuations in effluent quality and costs, and environmental risks. Artificial intelligence (AI) can handle complex nonlinear problems and has become a powerful t...
Algorithms Environmental Pollutants Artificial Intelligence Wastewater Neural Networks, Computer
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Constructing porous ZnFC-PA/PSF composite spheres for highly efficient Cs removal.

Journal of environmental sciences (China) May 20, 2023
Radioisotope leaking from nuclear waste has become an intractable problem due to its gamma radiation and strong water solubility. In this work, a novel porous ZnFC-PA/PSF composite sphere was fabricated by immobilization of ferrocyanides modified zin...
Cesium Polymers Water Purification Waste Disposal, Fluid Porosity Zinc Adsorption Wastewater Water Pollutants, Chemical Sulfones
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Reconstruction and analysis of negatively buoyant jets with interpretable machine learning.

Marine pollution bulletin Apr 1, 2023
In this paper, negatively inclined buoyant jets, which appear during the discharge of wastewater from processes such as desalination, are observed. A detailed numerical investigation is necessary to minimize harmful effects and assess environmental i...
Neural Networks, Computer Wastewater Machine Learning Random Forest
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Industrial wastewater source tracing: The initiative of SERS spectral signature aided by a one-dimensional convolutional neural network.

Water research Jan 23, 2023
The spectral fingerprint is a significant concept in nontarget screening of environmental samples to direct identification efforts to relevant and important features. Surface-enhanced Raman scattering (SERS) has long been recognized as an optical met...
Nanotechnology Wastewater Neural Networks, Computer Industry Spectrum Analysis, Raman
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Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems.

Bioresource technology Dec 14, 2022
Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The applications of AI and ML based models are also reported for monitoring and design of biological wastewater treatment systems (WWTS). The available inform...
Wastewater Water Purification Waste Disposal, Fluid Artificial Intelligence Machine Learning
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Ultrasound-enhanced catalytic degradation of simulated dye wastewater using waste printed circuit boards: catalytic performance and artificial neuron network-based simulation.

Environmental monitoring and assessment Nov 24, 2022
Recent developments of heterogeneous advanced oxidation for refractory organic contaminants and catalysts made of solid waste have attracted much attention. In this work, waste printed circuit board (wPCB) was used for catalytic degradation of simula...
Artificial Intelligence Methylene Blue Environmental Monitoring Wastewater Hydrogen Peroxide Neurons
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