AIMC Topic: Wastewater
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Modeling water flux in osmotic membrane bioreactor by adaptive network-based fuzzy inference system and artificial neural network.
Bioresource technology
Apr 18, 2020
Osmotic Membrane Bioreactor (OMBR) is an emerging technology for wastewater treatment with membrane fouling as a major challenge. This study aims to develop Adaptive Network-based Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) mod...
Monitoring and detecting faults in wastewater treatment plants using deep learning.
Environmental monitoring and assessment
Jan 29, 2020
Wastewater treatment plants use many sensors to control energy consumption and discharge quality. These sensors produce a vast amount of data which can be efficiently monitored by automatic systems. Consequently, several different statistical and lea...
Rapid Assessment of Opioid Exposure and Treatment in Cities Through Robotic Collection and Chemical Analysis of Wastewater.
Journal of medical toxicology : official journal of the American College of Medical Toxicology
Jan 9, 2020
INTRODUCTION: Accurate data regarding opioid use, overdose, and treatment is important in guiding community efforts at combating the opioid epidemic. Wastewater-based epidemiology (WBE) is a potential method to quantify community-level trends of opio...
Humans
Naloxone
Narcotic Antagonists
Opioid Epidemic
Opioid-Related Disorders
Urban Health
Solid Phase Extraction
Mass Spectrometry
North Carolina
Male
Water Pollutants, Chemical
Feasibility Studies
Wastewater
Middle Aged
Robotics
Analgesics, Opioid
Female
Environmental Monitoring
Substance-Related Disorders
Adult
In vitro selection of DNA aptamers and their integration in a competitive voltammetric biosensor for azlocillin determination in waste water.
Analytica chimica acta
Dec 16, 2019
The uncontrolled usage of veterinary antibiotics has led to their widespread pollution in waterways and milk products. Potential impact of antibiotic residues on the environment and human health such as increased antibiotic resistance of microorganis...
BP-ANN Model Coupled with Particle Swarm Optimization for the Efficient Prediction of 2-Chlorophenol Removal in an Electro-Oxidation System.
International journal of environmental research and public health
Jul 10, 2019
Electro-oxidation is an effective approach for the removal of 2-chlorophenol from wastewater. The modeling of the electrochemical process plays an important role in improving the efficiency of electrochemical treatment and increasing our understandin...
An influent responsive control strategy with machine learning: Q-learning based optimization method for a biological phosphorus removal system.
Chemosphere
Jun 14, 2019
Biological phosphorus removal (BPR) is an economical and sustainable processes for the removal of phosphorus (P) from wastewater, achieved by recirculating activated sludge through anaerobic and aerobic (An/Ae) processes. However, few studies have sy...
The application of machine learning methods for prediction of metal sorption onto biochars.
Journal of hazardous materials
Jun 3, 2019
The adsorption of six heavy metals (lead, cadmium, nickel, arsenic, copper, and zinc) on 44 biochars were modeled using artificial neural network (ANN) and random forest (RF) based on 353 dataset of adsorption experiments from literatures. The regres...
Coupling growth kinetics modeling with machine learning reveals microbial immigration impacts and identifies key environmental parameters in a biological wastewater treatment process.
Microbiome
Apr 17, 2019
BACKGROUND: Ubiquitous in natural and engineered ecosystems, microbial immigration is one of the mechanisms shaping community assemblage. However, quantifying immigration impact remains challenging especially at individual population level. The activ...
Sequential treatment of paper and pulp industrial wastewater: Prediction of water quality parameters by Mamdani Fuzzy Logic model and phytotoxicity assessment.
Chemosphere
Apr 5, 2019
Recycling of industrial wastewater meeting quality standards for agricultural and industrial demands is a viable option. In this study, paper and pulp industrial wastewater were treated with three biological treatments viz. aerobic, anaerobic and seq...
Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells.
Biosensors & bioelectronics
Mar 13, 2019
The complicated interactions that occur in mixed-species biotechnologies, including biosensors, hinder chemical detection specificity. This lack of specificity limits applications in which biosensors may be deployed, such as those where an unknown fe...
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