Items where Author is "Behzadian, Kourosh"

Item Type No Grouping

A systems-based approach to circular sludge management : Data-driven foresight, sustainability assessment, and strategic evaluation. (2025) Arghavan Panahi, Vahid Bakhtiari, Farzad Piadeh and Kourosh Behzadian

Waste-to-Energy Potential of Petroleum Refinery Sludge, Statistical Optimization, Machine Learning, and Life Cycle Costs Models. (2025) Seyyed Roohollah Masoomi, Mohammad Gheibi, Reza Moezzi, Kourosh Behzadian, Atiyeh Ardakanian, Farzad Piadeh and Andres Annuk

Combining Satellite Precipitation Products and Deep Learning to Increase Lead Times in Real-Time Riverine Flood Risk Forecasting. (2025) Cristiane Girotto, Kourosh Behzadian, Farzad Piadeh and Massoud Zolgharni

Flood Management Strategies Using Agent-Based Modelling and Public APIs: A Case Study in the UK. (2025) Saeid Najjar-Ghabel, Kourosh Behzadian, Farzad Piadeh and Atiyeh Ardakanian

Applications of artificial intelligence for chemical analysis and monitoring of pharmaceutical and personal care products in water and wastewater: A review. (2024) Babak Kavianpour, Farzad Piadeh, Mohammad Gheibi, Atiyeh Ardakanian, Kourosh Behzadian and Luiza C. Campos

Urban water infrastructure: A critical review on climate change impacts and adaptation strategies. (2024) Ahmad Ferdowsi, Farzad Piadeh, Kourosh Behzadian, Sayed-Farhad Mousavi and Mohammad Ehteram

AI Assistance for Chemical Analysis of PPCPs in Water and Wastewater: Highlights and Potentials. (2024) Babak Kavianpour, Farzad Piadeh, Mohamad Gheibi, Atiyeh Ardakanian and Kourosh Behzadian picture_as_pdf

Application of Internet of Things in Real-Time Urban Flood Risk Management. (2024) Vahid Bakhtiari, Farzad Piadeh and Kourosh Behzadian

Architectural Strategies for Flood Mitigation in Urban Environments: A Study of Traditional Elements and Contemporary Resilience. (2024) Seyedeh Negar Naghed, Ali Maleki, Rasool Vahid, Farzad Piadeh and Kourosh Behzadian

Comprehensive Flood Early Warning Systems: From Modelling to Policy Making Perspectives. (2024) Kourosh Behzadian, Farzad Piadeh, Saman Razavi, Luiza C. Campos, Mohamad Gheibi and Albert S. Chen

Enhancing Urban Flood Prediction Accuracy with Physics-Informed Neural Networks: A Case Study in Real-Time Rainfall Data Integration. (2024) Sina Raeisi, Farzad Piadeh and Kourosh Behzadian

Integrated Data-Driven Approach for Early Pollution Detection and Management in the Thames River Ecosystem. (2024) Saeid Najjar-Ghabel, Farzad Piadeh, Kourosh Behzadian and Atiyeh Ardakanian

Machine learning models for stream-level predictions using readings from satellite and ground gauging stations. (2024) Cristiane Girotto, Farzad Piadeh, Kourosh Behzadian, Massoud Zolgharni, Luiza C. Campos and Albert S. Chen

Optimising oceanic rainfall estimates for increased lead time of stream level forecasting: A case study of GPM IMERG estimates application in the UK. (2024) Cristiane Girotto, Farzad Piadeh, Kourosh Behzadian, Massoud Zolgharni, Luiza C. Campos and Albert S. Chen

Physics-Informed AI-based Modelling for Flood Early Warning Systems. (2024) Farzad Piadeh and Kourosh Behzadian

Unveiling the Interplay: Flood Impacts on Transportation, Vulnerable Communities, and Early Warning Systems. (2024) Seyedeh Negar Naghedi, Farzad Piadeh, Kourosh Behzadian and Moein Hemmati

Stakeholder analysis in the application of cutting-edge digital visualisation technologies for urban flood risk management: A critical review. (2024) Vahid Bakhtiari, Farzad Piadeh, Albert S. Chen and Kourosh Behzadian

A critical review for the impact of anaerobic digestion on the sustainable development goals. (2024) Farzad Piadeh, Ikechukwu Offie, Kourosh Behzadian, Joseph P. Rizzuto, Angela Bywater, José-Rodrigo Córdoba-Pachón and Mark Walker

A critical review of digital technology innovations for early warning of water-related disease outbreaks associated with climatic hazards. (2024) Cristiane Girotto, Farzad Piadeh, Vahid Bakhtiari, Kourosh Behzadian, Albert S. Chen, Luiza C. Campos and Massoud Zolgharni

A critical review for the application of cutting-edge digital visualisation technologies for effective urban flood risk management. (2023) Vahid Bakhtiari, Farzad Piadeh, Kourosh Behzadian and Zoran Kapelan

Enhancing Urban Flood Forecasting in Drainage Systems Using Dynamic Ensemble-based Data Mining. (2023) Farzad Piadeh, Kourosh Behzadian, Albert S. Chen, Zoran Kapelan, Joseph P. Rizzuto and Luiza C. Campos

Real-time operation of municipal anaerobic digestion using an ensemble data mining framework. (2023) Farzad Piadeh, Ikechukwu Offie, Kourosh Behzadian, Angela Bywater and Luiza C. Campos

Appliance for Water consumption management in showering by using Arduino kit, Energy NExus and SensorS : AWARENESS kit. (2023) Farzad Piadeh, Cristiane Girotto, Daniel Egyir, Joseph P. Rizzuto and Kourosh Behzadian

Appliance for Water consumption management in showering by using Arduino kit, Energy NExus and SensorS Presentation : AWARENESS kit. (2023) Farzad Piadeh, Cristiane Girotto, Daniel Egyir, Joseph P. Rizzuto and Kourosh Behzadian

Application of Innovative Digital Technologies in Urban Flood Risk Management. (2023) Vahid Bakhtiari, Farzad Piadeh and Kourosh Behzadian

Event-based Flood Data Imputation for Infilling Missing Data in Real-time Flood Warning Systems. (2023) Farzad Piadeh, Kourosh Behzadian and Joseph P. Rizzuto

Real-Time Urban Flood Forecasting: Application of Hybrid Modelling Using Both Physically based and Data-Driven models. (2023) Ahmad Ferdowsi, Farzad Piadeh and Kourosh Behzadian

Real-time flood overflow forecasting in Urban Drainage Systems by using time-series multi-stacking of data mining techniques. (2023) Farzad Piadeh, Kourosh Behzadian, Albert S. Chen, Luiza C. Campos and Joseph P. Rizzuto

Time-series Boosting in Ensemble Modelling of Real-Time Flood Forecasting Application. (2023) Farshad Piadeh, Farzad Piadeh and Kourosh Behzadian

Using Ensemble Data Mining Modelling for Nonbinary Overflow Detection in Urban Flooding. (2023) Kourosh Behzadian, Farzad Piadeh, Albert S. Chen, Luiza C. Campos and Zoran Kapelan