AIMC Topic: Sewage

Clear Filters Showing 31 to 40 of 90 articles

Evaluating the efficacy of vermicomposted products in rain-fed wetland rice and predicting potential hazards from metal-contaminated tannery sludge using novel machine learning tactic.

Chemosphere May 6, 2024
The study assessed the ecotoxicity and bioavailability of potential metals (PMs) from tannery waste sludge, alongside addressing the environmental concerns of overuse of chemical fertilizers, by comparing the impacts of organic vermicomposted tannery...
Oryza Sewage Metals Soil Pollutants Wetlands Metals, Heavy Composting Fertilizers Tanning Soil Animals Machine Learning
View on PubMed DOI

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...
Wastewater Algorithms Water Pollutants, Chemical Machine Learning Filtration Membranes, Artificial Spectrophotometry, Ultraviolet Spectrometry, Fluorescence Sewage
View on PubMed DOI

Optimisation and Calibration of Bayesian Neural Network for Probabilistic Prediction of Biogas Performance in an Anaerobic Lagoon.

Sensors (Basel, Switzerland) Apr 15, 2024
This study aims to enhance diagnostic capabilities for optimising the performance of the anaerobic sewage treatment lagoon at Melbourne Water's Western Treatment Plant (WTP) through a novel machine learning (ML)-based monitoring strategy. This strate...
Biofuels Calibration Bayes Theorem Sewage Monte Carlo Method Neural Networks, Computer Machine Learning Anaerobiosis
View on PubMed DOI

Assessment of rainfall-derived inflow and infiltration in sewer systems with machine learning approaches.

Water science and technology : a journal of the International Association on Water Pollution Research Apr 9, 2024
Rainfall-derived inflow/infiltration (RDII) modelling during heavy rainfall events is essential for sewer flow management. In this study, two machine learning algorithms, random forest (RF) and long short-term memory (LSTM), were developed for sewer ...
Water Movements Sewage Rain Machine Learning Models, Theoretical
View on PubMed DOI

Waste to resource: Mining antimicrobial peptides in sludge from metagenomes using machine learning.

Environment international Mar 11, 2024
The emergence of antibiotic-resistant bacteria poses a huge threat to the treatment of infections. Antimicrobial peptides are a class of short peptides that widely exist in organisms and are considered as potential substitutes for traditional antibio...
Bacteria Sewage Antimicrobial Peptides Machine Learning Metagenome Metagenomics Anti-Bacterial Agents
View on PubMed DOI

Optimization of operational parameters using RSM, ANN, and SVM in membrane integrated with rotating biological contactor.

Chemosphere Dec 4, 2023
Membrane fouling is a critical bottleneck to the widespread adoption of membrane separation processes. It diminishes the membrane permeability and results in high operational energy costs. The current study presents optimizing the operating parameter...
Neural Networks, Computer Support Vector Machine Bayes Theorem Bioreactors Sewage
View on PubMed DOI

Maintaining innovation: How to make sewer robots and innovation policy work in Barcelona.

Social studies of science Nov 25, 2023
This article explores how innovation logics infiltrate problem and value definitions in maintenance and repair, and how innovation itself depends on considerable, often invisible care work beyond the seemingly smooth entrepreneurial narratives. We bu...
Organizational Innovation Inventions Spain Diffusion of Innovation Robotics Sewage
View on PubMed DOI

An Intelligent Robot Detection System of Uncontrolled Radioactive Sources.

Computational intelligence and neuroscience Sep 19, 2022
In recent years, radioactive sources have been widely used in various fields (e.g., nuclear industry, agriculture, medical industry, environmental protection, and scientific research) and successfully applied to develop scientific projects, such as n...
Sewage Humans Radiation Injuries Robotics
View on PubMed DOI

Intelligent Measurement and Analysis of Sewage Treatment Parameters based on Fuzzy Neural Algorithm with ARM9 Core CPU.

Computational intelligence and neuroscience Jul 18, 2022
After entering the new century, the state continues to increase the construction of urban sewage treatment projects in response to the deteriorating water pollution situation. How to collect and analyze the sewage parameter variables in the sewage tr...
Nitrates Algorithms Sewage Fuzzy Logic Oxygen Nitrogen
View on PubMed DOI

Deep Learning Target Detection System for Sewage Treatment.

Computational intelligence and neuroscience Jul 5, 2022
Object detection is to identify objects and then find some objects of interest. With the development of computers, target detection has evolved from traditional detection methods to artificial intelligence methods, and the latter are mainly based on ...
Neural Networks, Computer Artificial Intelligence Sewage Algorithms Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals