Research graph
References from Interpretable Spatiotemporal Coupling Network for Robust Emission Prediction and Implicit Mechanism Mining in Sludge Gasification. Local targets link to admitted publications; unresolved targets remain external evidence.
Advancements in Biomass Waste Conversion to Sustainable Biofuels via Gasification
10.1016/j.cej.2024.159151 · 2025 · External reference
Worldwide Research Progress and Trend in Sludge Treatment and Disposal: A Bibliometric Analysis
10.1021/acsestengg.3c00149 · 2023 · External reference
Pathways to Advanced Resource Recovery from Sewage
10.1038/s41893-024-01423-6 · 2024 · External reference
Opportunities and Challenges in Sustainable Treatment and Resource Reuse of Sewage Sludge: A Review
10.1016/j.cej.2017.12.149 · 2018 · External reference
Sewage Sludge Treatment Technology under the Requirement of Carbon Neutrality: Recent Progress and Perspectives
10.1016/j.biortech.2022.127853 · 2022 · External reference
Environmental Impacts and Optimizing Strategies of Municipal Sludge Treatment and Disposal Routes in China Based on Life Cycle Analysis
10.1016/j.envint.2022.107378 · 2022 · External reference
Environmental and Economic Impact Assessment of Three Sintering Flue Gas Treatment Technologies in the Iron and Steel Industry
10.1016/j.jclepro.2021.127703 · 2021 · External reference
Dilemma of Sewage Sludge Treatment and Disposal in China
10.1021/acs.est.5b01455 · 2015 · External reference
Advancements in Sludge Pyrolysis: Integrated Resource Recovery and Process-Derived Pollutant Mitigation
10.1016/j.jaap.2025.107137 · 2025 · External reference
A Review on Resource Utilization of Oil Sludge Based on Pyrolysis and Gasification
10.1016/j.jece.2023.109692 · 2023 · External reference
Recent Advances in Syngas Production from Biomass Catalytic Gasification: A Critical Review on Reactors, Catalysts, Catalytic Mechanisms and Mathematical Models
10.1016/j.rser.2019.109426 · 2019 · External reference
Thermochemical Processing of Sewage Sludge to Energy and Fuel: Fundamentals, Challenges and Considerations
10.1016/j.rser.2017.05.262 · 2017 · External reference
A Review of Biomass Gasification Modelling
10.1016/j.rser.2019.05.003 · 2019 · External reference
Empirical and Chemical Equilibrium Modelling for Prediction of Biomass Gasification Products in Bubbling Fluidized Beds
10.1016/j.energy.2020.117654 · 2020 · External reference
Biomass Gasification Modelling Development: A Review
10.1088/1755-1315/1386/1/012018 · 2024 · External reference
Dynamic Modeling and Scenario Analysis of a Circulating Fluidized Bed Gasifier Supported by Variable Renewable Energy
10.1016/j.energy.2026.140503 · 2026 · External reference
Artificial Intelligence Modeling for Groundwater Environments across Spatial Scales
10.1021/acs.est.5c09120 · 2025 · External reference
Sliding Window-Based Machine Learning for Environmental Inspection Resource Allocation
10.1021/acs.est.3c05088 · 2023 · External reference
Machine Learning in Environmental Research: Common Pitfalls and Best Practices
10.1021/acs.est.3c00026 · 2023 · External reference
Machine Learning for Industrial Processes: Forecasting Amine Emissions from a Carbon Capture Plant
10.1126/sciadv.adc9576 · 2023 · External reference
Collaborative Prediction and Intelligent Control of Multiple Pollutants Emission from a Large-Scale Waste Incinerator
10.1016/j.jenvman.2025.124874 · 2025 · External reference
Dynamic NOX Emission Concentration Prediction Based on the Combined Feature Selection Algorithm and Deep Neural Network
10.1016/j.energy.2024.130608 · 2024 · External reference
Emissions Prediction and Mechanistic Interpretation for Sludge Gasification via Multi-Source Temporal Modeling
10.1016/j.jclepro.2026.148812 · 2026 · External reference
An Explainable Deep Learning Model Based on Hydrological Principles for Flood Simulation and Forecasting
10.5194/hess-29-7217-2025 · 2025 · External reference
Unresolved reference
External reference
Graph Neural Networks for Soft Sensors: Learning from Process Topology and Operational Data
10.1016/j.compchemeng.2025.109532 · 2026 · External reference
A Comprehensive Survey on Graph Neural Networks
10.1109/tnnls.2020.2978386 · 2021 · External reference
From Data to Decision: A Closed-Loop Framework for Co-Optimizing Energy Recovery and SO2 Control in Sludge Gasification
10.1021/acs.est.6c08067 · 2026 · External reference
Unresolved reference
1988 · External reference
Multi-Site Forecasting of Low-Value Recyclables for Urban Smart Recycling Systems
10.1016/j.resconrec.2026.108908 · 2026 · External reference
10.24963/ijcai.2018/505
10.24963/ijcai.2018/505 · External reference
10.24963/ijcai.2019/264
10.24963/ijcai.2019/264 · External reference
Sewage Sludge Treatment Technology under the Requirement of Carbon Neutrality: Recent Progress and Perspectives
10.1016/j.biortech.2022.127853 · ExternalCitation · doi-reference
Opportunities and Challenges in Sustainable Treatment and Resource Reuse of Sewage Sludge: A Review
10.1016/j.cej.2017.12.149 · ExternalCitation · doi-reference
Advancements in Biomass Waste Conversion to Sustainable Biofuels via Gasification
10.1016/j.cej.2024.159151 · ExternalCitation · doi-reference
Graph Neural Networks for Soft Sensors: Learning from Process Topology and Operational Data
10.1016/j.compchemeng.2025.109532 · ExternalCitation · doi-reference
Empirical and Chemical Equilibrium Modelling for Prediction of Biomass Gasification Products in Bubbling Fluidized Beds
10.1016/j.energy.2020.117654 · ExternalCitation · doi-reference
Dynamic NOX Emission Concentration Prediction Based on the Combined Feature Selection Algorithm and Deep Neural Network
10.1016/j.energy.2024.130608 · ExternalCitation · doi-reference
Dynamic Modeling and Scenario Analysis of a Circulating Fluidized Bed Gasifier Supported by Variable Renewable Energy
10.1016/j.energy.2026.140503 · ExternalCitation · doi-reference
Environmental Impacts and Optimizing Strategies of Municipal Sludge Treatment and Disposal Routes in China Based on Life Cycle Analysis
10.1016/j.envint.2022.107378 · ExternalCitation · doi-reference
Advancements in Sludge Pyrolysis: Integrated Resource Recovery and Process-Derived Pollutant Mitigation
10.1016/j.jaap.2025.107137 · ExternalCitation · doi-reference
Environmental and Economic Impact Assessment of Three Sintering Flue Gas Treatment Technologies in the Iron and Steel Industry
10.1016/j.jclepro.2021.127703 · ExternalCitation · doi-reference
Emissions Prediction and Mechanistic Interpretation for Sludge Gasification via Multi-Source Temporal Modeling
10.1016/j.jclepro.2026.148812 · ExternalCitation · doi-reference
A Review on Resource Utilization of Oil Sludge Based on Pyrolysis and Gasification
10.1016/j.jece.2023.109692 · ExternalCitation · doi-reference
Collaborative Prediction and Intelligent Control of Multiple Pollutants Emission from a Large-Scale Waste Incinerator
10.1016/j.jenvman.2025.124874 · ExternalCitation · doi-reference
Multi-Site Forecasting of Low-Value Recyclables for Urban Smart Recycling Systems
10.1016/j.resconrec.2026.108908 · ExternalCitation · doi-reference
Thermochemical Processing of Sewage Sludge to Energy and Fuel: Fundamentals, Challenges and Considerations
10.1016/j.rser.2017.05.262 · ExternalCitation · doi-reference
A Review of Biomass Gasification Modelling
10.1016/j.rser.2019.05.003 · ExternalCitation · doi-reference
Recent Advances in Syngas Production from Biomass Catalytic Gasification: A Critical Review on Reactors, Catalysts, Catalytic Mechanisms and Mathematical Models
10.1016/j.rser.2019.109426 · ExternalCitation · doi-reference
Machine Learning in Environmental Research: Common Pitfalls and Best Practices
10.1021/acs.est.3c00026 · ExternalCitation · doi-reference
Sliding Window-Based Machine Learning for Environmental Inspection Resource Allocation
10.1021/acs.est.3c05088 · ExternalCitation · doi-reference
Dilemma of Sewage Sludge Treatment and Disposal in China
10.1021/acs.est.5b01455 · ExternalCitation · doi-reference
Artificial Intelligence Modeling for Groundwater Environments across Spatial Scales
10.1021/acs.est.5c09120 · ExternalCitation · doi-reference
From Data to Decision: A Closed-Loop Framework for Co-Optimizing Energy Recovery and SO2 Control in Sludge Gasification
10.1021/acs.est.6c08067 · ExternalCitation · doi-reference
Worldwide Research Progress and Trend in Sludge Treatment and Disposal: A Bibliometric Analysis
10.1021/acsestengg.3c00149 · ExternalCitation · doi-reference
Pathways to Advanced Resource Recovery from Sewage
10.1038/s41893-024-01423-6 · ExternalCitation · doi-reference
Biomass Gasification Modelling Development: A Review
10.1088/1755-1315/1386/1/012018 · ExternalCitation · doi-reference
A Comprehensive Survey on Graph Neural Networks
10.1109/tnnls.2020.2978386 · ExternalCitation · doi-reference
Machine Learning for Industrial Processes: Forecasting Amine Emissions from a Carbon Capture Plant
10.1126/sciadv.adc9576 · ExternalCitation · doi-reference
10.24963/ijcai.2018/505
10.24963/ijcai.2018/505 · ExternalCitation · doi-reference
10.24963/ijcai.2019/264
10.24963/ijcai.2019/264 · ExternalCitation · doi-reference
An Explainable Deep Learning Model Based on Hydrological Principles for Flood Simulation and Forecasting
10.5194/hess-29-7217-2025 · ExternalCitation · doi-reference
