26 results for “topic:wastewater-treatment”
COVID-19 monitoring data from wastewater.
A Unified Python Interface for Water Resource Data Acquisition
Supplementary files for "Integrated Design and Optimization of Water-Energy Nexus: Combining Wastewater Treatment and Energy System"
A Julia Modelingtoolkit.jl Implementation of Anaerobic Digestion Model No.1 (ADM1)
A knowledge graph of the wastewater treatment microbiome and its biological context
Comparison of clustering methods for determining the operational states of a wastewater treatment plant (BSc project in Statistics) :wrench: :potable_water: :arrows_counterclockwise: :recycle: :sweat_drops:
Data and code for LaMartina et al., 2021
Training stiff NODE in data-driven wastewater process modelling
AI-driven predictive modeling for wastewater treatment optimization. Utilizing the UCI dataset to develop virtual soft-sensors for BOD/COD monitoring and operational sustainability.
A compilation of various hydraulic analyses and mathematical models developed during my undergraduate studies
Official AQUALIS resources for stormwater, wastewater, and pond management; environmental compliance, maintenance, and best practices.
Documentation for the PooPyLab Project
Processed 43,000+ records with 42 variables, using lubridate for time series manipulation. Visualized key variables like pH levels and membrane permeate flow, identifying a critical fault event. Developed regression models (linear, stepwise) and used Lasso (cv.glmnet) to improve predictive accuracy for pH levels and fault detection.
Statistical Optimization of Multi-Factor Adsorption Processes Using Factorial ANOVA: A JASP-Based Methodology Demonstration | Synthetic dataset (n=2,304), Python data generation, JASP analysis workflow | Open Science
A R-Shiny web application to access, visualize and analyze cw research data.
一款污水处理脱氮除磷相关计算软件。基于德国DWA、ATV协会的技术规范
Utilising Integrated constructed wetlands to Reduce Antimicrobial resistance and increase Carbon sequestration in the Environment.
An end-to-end MLOps pipeline that predicts wastewater aeration needs using BSM1 simulation data. Features time-series forecasting, model serving, and data drift monitoring.
Pruebas de visualización
Completed a solo research thesis for my Chemical Engineering degree at Parahyangan Catholic University. This project, supervised by two faculty members, serves as the final graduation requirement, showcasing my independent research skills.
Machine learning project predicting energy consumption in East Melbourne WWTP using ensemble and deep learning models, with SHAP-based feature importance analysis.
Investigated the possibility of predictive maintenance of an ultra-filtration unit by adopting machine learning and data analytics to predict the differential pressure
A MATLAB implementation of Constructed Wetland Model 1
A smart PLC control and monitoring app simulating real-time plant operations and settings management.
open source wastewater treatment plant simulator
🔍 Optimize multi-factor adsorption processes with this factorial ANOVA framework, enhancing efficiency and effectiveness in experimental design.