AIMC Topic: Disinfection
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From Model Development to Mitigation: Machine Learning for Predicting and Minimizing Iodinated Trihalomethanes in Water Treatment.
Environmental science & technology
Jun 3, 2025
Disinfection processes in water treatment produce disinfection byproducts (DBPs), such as iodinated trihalomethanes (I-THMs), which pose significant health risks. Mitigating I-THMs remains challenging due to the complex interactions among water quali...
Robotic versus manual disinfection of global priority pathogens at COVID-19-dedicated hospitals.
American journal of infection control
Jan 21, 2025
BACKGROUND: Twelve bacterial families identified as global priority pathogens (GPPs) pose the greatest threat to human health due to declining antibiotic efficacy. Robotics, a swift and contactless tool for disinfecting hospital surfaces, was sought ...
Predicting few disinfection byproducts in the water distribution systems using machine learning models.
Environmental science and pollution research international
Jan 20, 2025
Concerns regarding disinfection byproducts (DBPs) in drinking water persist, with measurements in water treatment plants (WTPs) being relatively easier than those in water distribution systems (WDSs) due to accessibility challenges, especially during...
Enhanced iodinated disinfection byproducts formation in iodide/iodate-containing water undergoing UV-chloramine sequential disinfection: Machine learning-aided identification of reaction mechanisms.
Water research
Dec 14, 2024
Restricted to the complex nature of dissolved organic matter (DOM) in various aquatic environments, the mechanisms of enhanced iodinated disinfection byproducts (I-DBPs) formation in water containing both I and IO (designated as I/IO in this study) d...
Antimicrobial efficacy of an experimental UV-C robot in controlled conditions and in a real hospital scenario.
The Journal of hospital infection
Nov 19, 2024
BACKGROUND: Among no-touch automated disinfection devices, ultraviolet-C (UV-C) radiation has been proven to be one of the most effective against a broad spectrum of micro-organisms causing healthcare-associated infections.
Machine Learning and Imputation to Characterize Human Norovirus Genotype Susceptibility to Sodium Hypochlorite.
Food and environmental virology
Sep 11, 2024
Human norovirus (HuNoV) is the leading cause of foodborne illness in the developed world and a major contributor to gastroenteritis globally. Its low infectious dose and environmental persistence necessitate effective disinfection protocols. Sodium h...
Exploring the potential of machine learning to understand the occurrence and health risks of haloacetic acids in a drinking water distribution system.
The Science of the total environment
Aug 15, 2024
Determining the occurrence of disinfection byproducts (DBPs) in drinking water distribution system (DWDS) remains challenging. Predicting DBPs using readily available water quality parameters can help to understand DBPs associated risks and capture t...
Robust optimization of a novel ultraviolet (UV) photoreactor for water disinfection: A neural network approach.
Chemosphere
Jul 6, 2024
To optimize the ultraviolet (UV) water disinfection process, it is crucial to determine the ideal geometric dimensions of a corresponding model that enhance performance while minimizing the impact of uncertain photoreactor inputs. As water treatment ...
Mobile Robot + IoT: Project of Sustainable Technology for Sanitizing Broiler Poultry Litter.
Sensors (Basel, Switzerland)
May 11, 2024
The traditional aviary decontamination process involves farmers applying pesticides to the aviary's ground. These agricultural defenses are easily dispersed in the air, making the farmers susceptible to chronic diseases related to recurrent exposure....
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...
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