An open-source Python package for designing and performing research on AguaClara water treatment plants.
-
Updated
Aug 15, 2025 - Python
An open-source Python package for designing and performing research on AguaClara water treatment plants.
Explain, implement, analyze, and design unsupervised learning machine learning techniques, namely K-Means with the Water Treatment Plant dataset.
AMIDIAM is a novel amino acid-diamond interface dataset. Structure generation & simple demo only; advanced analysis available upon publication.
swtpc provides support in the planning, construction, operation and maintenance of low-tech drinking water treatment plants.
Datasets created using iTrust's word class testbeds
Upon some data from water treatment facility and temperature/rainfall history, data analytics and machine learning is done for predictions.
Categorizing the plant's operation state using sensor data suing SVMs.
Website of ai4environmentalsciences
Neuro-fuzzy is a repository focused on implementing Adaptive Neuro Fuzzy Inference System (ANFIS) for two distinct applications: Capacitive Deionization and Power Prediction.
An interactive Streamlit dashboard for national monitoring, analysis, and visualization of water treatment plant data via charts and maps.
Dimensionamento e geração do memorial de cálculo para o gradeamento conforme a NBR 12213
Add a description, image, and links to the water-treatment topic page so that developers can more easily learn about it.
To associate your repository with the water-treatment topic, visit your repo's landing page and select "manage topics."