Research

Research Publications

40+ peer-reviewed papers spanning AI, water systems, energy, and biorefinery. Summaries auto-generated from the local corpus.

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A hybrid machine learning–based multi objective supervisory control strategy of a full scale wastewater treatment for cost effective and sustainable operation under varying influent conditions

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A hybrid machine learning examines based multi objective supervisory control strategy of a full scale wastewater treatment for cost effective and sustainable operation under varying influent conditions. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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A novel hybrid method for constructing resilient microalgae supply chain Integration of n 1 contingency analysis with stochastic modelling

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A novel hybrid method for constructing resilient microalgae supply chain Integration of n 1 contingency analysis with stochastic modelling examines a novel hybrid method for constructing resilient microalgae supply chain integration of n 1 contingency analysis with stochastic modelling. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Achieving the sustainable waste management of medical plastic packaging using a life cycle assessment approach

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Achieving the sustainable waste management of medical plastic packaging using a life cycle assessment approach examines achieving the sustainable waste management of medical plastic packaging using a life cycle assessment approach. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Active Learning Based Guided Synthesis of Engineered Biochar for CO2 Capture

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Active Learning Based Guided Synthesis of Engineered Biochar for CO2 Capture examines active learning based guided synthesis of engineered biochar for co2 capture. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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AI guided investigation of biochar’s efficacy in Pb immobilization for remediation of Pb contaminated agricultural land

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AI guided investigation of biochar’s efficacy in Pb immobilization for remediation of Pb contaminated agricultural land examines ai guided investigation of biochar’s efficacy in pb immobilization for remediation of pb contaminated agricultural land. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Blockchain as a frontier in biotechnology and bioenergy applications

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Blockchain as a frontier in biotechnology and bioenergy applications examines blockchain as a frontier in biotechnology and bioenergy applications. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Carbon negative biochar systems contribute to sustainable urban green infrastructure a critical review

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Carbon negative biochar systems contribute to sustainable urban green infrastructure a critical review examines carbon negative biochar systems contribute to sustainable urban green infrastructure a critical review. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Conversion of organic solid waste into energy and functional materials using biochar catalyst Bibliometric analysis, research progress, and directions

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Conversion of organic solid waste into energy and functional materials using biochar catalyst Bibliometric analysis, research progress, and directions examines conversion of organic solid waste into energy and functional materials using biochar catalyst bibliometric analysis, research progress, and directions. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Demystifying priority of deploying sustainable petrochemical waste management Multi Stakeholder insights from a developing country

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Demystifying priority of deploying sustainable petrochemical waste management Multi Stakeholder insights from a developing country examines demystifying priority of deploying sustainable petrochemical waste management multi stakeholder insights from a developing country. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Dynamic calibration of process wide partial nitritation modeling with airlift granular for nitrogen removal in a full scale wastewater treatment plant

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Dynamic calibration of process wide partial nitritation modeling with airlift granular for nitrogen removal in a full scale wastewater treatment plant examines dynamic calibration of process wide partial nitritation modeling with airlift granular for nitrogen removal in a full scale wastewater treatment plant. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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End to end autonomous and resilient operability strategy of full scale PN SBR system From influent augmentation to AI aided optimal control and scheduling

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End to end autonomous and resilient operability strategy of full scale PN SBR system From influent augmentation to AI aided optimal control and scheduling examines end to end autonomous and resilient operability strategy of full scale pn sbr system from influent augmentation to ai aided optimal control and scheduling. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Environmental analysis of Chlorella vulgaris cultivation in large scale closed system under waste nutrient source

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Environmental analysis of Chlorella vulgaris cultivation in large scale closed system under waste nutrient source examines environmental analysis of chlorella vulgaris cultivation in large scale closed system under waste nutrient source. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Evaluation of an integrated microalgae based biorefinery process and energy recovery system from livestock manure using a superstructure model

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Evaluation of an integrated microalgae based biorefinery process and energy recovery system from livestock manure using a superstructure model examines evaluation of an integrated microalgae based biorefinery process and energy recovery system from livestock manure using a superstructure model. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Exploring N best solution space for heat integrated hydrogen regeneration network using sequential graph theoretic approach

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Exploring N best solution space for heat integrated hydrogen regeneration network using sequential graph theoretic approach examines exploring n best solution space for heat integrated hydrogen regeneration network using sequential graph theoretic approach. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Fast and complete removal of quinolones from actual water matrices by activated peroxymonocarbonate via magnetic Co–Cu in carbon nanofibers

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Fast and complete removal of quinolones from actual water matrices by activated peroxymonocarbonate via magnetic Co examines cu in carbon nanofibers. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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From microalgae to bioenergy Identifying optimally integrated biorefinery pathways and harvest scheduling under uncertainties in predicted climate

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From microalgae to bioenergy Identifying optimally integrated biorefinery pathways and harvest scheduling under uncertainties in predicted climate examines from microalgae to bioenergy identifying optimally integrated biorefinery pathways and harvest scheduling under uncertainties in predicted climate. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Frontier of digitalization in Biomass to X supply chain opportunity or threats

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Frontier of digitalization in Biomass to X supply chain opportunity or threats examines frontier of digitalization in biomass to x supply chain opportunity or threats. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Fuzzy optimization for peer to peer (P2P) multi period renewable energy trading planning

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Fuzzy optimization for peer to peer (P2P) multi period renewable energy trading planning examines fuzzy optimization for peer to peer (p2p) multi period renewable energy trading planning. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Heat Integrated Water Regeneration Network Synthesis via Graph Theoretic Sequential Method

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Heat Integrated Water Regeneration Network Synthesis via Graph Theoretic Sequential Method examines heat integrated water regeneration network synthesis via graph theoretic sequential method. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Innovative interpretable AI guided water quality evaluation with risk adversarial analysis in river streams considering spatial temporal effects

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Innovative interpretable AI guided water quality evaluation with risk adversarial analysis in river streams considering spatial temporal effects examines innovative interpretable ai guided water quality evaluation with risk adversarial analysis in river streams considering spatial temporal effects. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Life Cycle Greenhouse Gas Emissions of Biogas Upgrading for Fuel Production

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Life Cycle Greenhouse Gas Emissions of Biogas Upgrading for Fuel Production examines life cycle greenhouse gas emissions of biogas upgrading for fuel production. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Machine Learning for Heavy Metal Removal from Water Recent Advances and Challenges

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Machine Learning for Heavy Metal Removal from Water Recent Advances and Challenges examines machine learning for heavy metal removal from water recent advances and challenges. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Machine learning–assisted CO2 utilization in the catalytic dry reforming of hydrocarbons Reaction pathways and multicriteria optimization analyses

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Machine learning examines assisted co2 utilization in the catalytic dry reforming of hydrocarbons reaction pathways and multicriteria optimization analyses. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Multi objective lifecycle optimization for oil palm fertilizer formulation A hybrid P graph and TOPSIS approach

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Multi objective lifecycle optimization for oil palm fertilizer formulation A hybrid P graph and TOPSIS approach examines multi objective lifecycle optimization for oil palm fertilizer formulation a hybrid p graph and topsis approach. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Nationwide sustainable renewable energy and Power to X deployment planning in South Korea assisted with forecasting model

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Nationwide sustainable renewable energy and Power to X deployment planning in South Korea assisted with forecasting model examines nationwide sustainable renewable energy and power to x deployment planning in south korea assisted with forecasting model. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Non Gaussian multivariate statistical monitoring of spatio temporal wind speed frequencies to improve wind power quality in South Korea

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Non Gaussian multivariate statistical monitoring of spatio temporal wind speed frequencies to improve wind power quality in South Korea examines non gaussian multivariate statistical monitoring of spatio temporal wind speed frequencies to improve wind power quality in south korea. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Optimal configuration and economic analysis of PRO retrofitted industrial networks for sustainable energy production and material recovery considering uncertainties Bioethanol and sugar mill case study

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Optimal configuration and economic analysis of PRO retrofitted industrial networks for sustainable energy production and material recovery considering uncertainties Bioethanol and sugar mill case study examines optimal configuration and economic analysis of pro retrofitted industrial networks for sustainable energy production and material recovery considering uncertainties bioethanol and sugar mill case study. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Optimal planning of inter plant hydrogen integration (IPHI) in eco industrial park with P graph and game theory analyses

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Optimal planning of inter plant hydrogen integration (IPHI) in eco industrial park with P graph and game theory analyses examines optimal planning of inter plant hydrogen integration (iphi) in eco industrial park with p graph and game theory analyses. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Predictive maintenance system for membrane replacement time detection using AI based functional profile monitoring Application to a full scale MBR plant

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Predictive maintenance system for membrane replacement time detection using AI based functional profile monitoring Application to a full scale MBR plant examines predictive maintenance system for membrane replacement time detection using ai based functional profile monitoring application to a full scale mbr plant. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Prototyping with Generative AI Design to Debottleneck Conventional Design Incorporation on Proton Exchange Membrane Electrolyzer

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Prototyping with Generative AI Design to Debottleneck Conventional Design Incorporation on Proton Exchange Membrane Electrolyzer examines prototyping with generative ai design to debottleneck conventional design incorporation on proton exchange membrane electrolyzer. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Reliability incorporated optimal process pathway selection for sustainable microalgae based biorefinery system P graph approach ScienceDirect

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Reliability incorporated optimal process pathway selection for sustainable microalgae based biorefinery system P graph approach ScienceDirect examines reliability incorporated optimal process pathway selection for sustainable microalgae based biorefinery system p graph approach sciencedirect. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Removal of radioactive elements from nuclear wastewater using metal–organic frameworks a comprehensive analysis using DFT and metaanalysis

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Removal of radioactive elements from nuclear wastewater using metal examines organic frameworks a comprehensive analysis using dft and metaanalysis. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Rethinking of the future sustainable paradigm roadmap for plastic waste management A multi nation scale outlook compendium

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Rethinking of the future sustainable paradigm roadmap for plastic waste management A multi nation scale outlook compendium examines rethinking of the future sustainable paradigm roadmap for plastic waste management a multi nation scale outlook compendium. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Revealing spatial temporal impact of industrial effluent towards DOM in Riverine employing PARAFAC and MW 2D COS

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Revealing spatial temporal impact of industrial effluent towards DOM in Riverine employing PARAFAC and MW 2D COS examines revealing spatial temporal impact of industrial effluent towards dom in riverine employing parafac and mw 2d cos. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Shaving electric bills with renewables A multi period pinch based methodology for energy planning

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Shaving electric bills with renewables A multi period pinch based methodology for energy planning examines shaving electric bills with renewables a multi period pinch based methodology for energy planning. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Smart solutions for clean air An AI guided approach to sustainable industrial pollution control in coal fired power plant

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Smart solutions for clean air An AI guided approach to sustainable industrial pollution control in coal fired power plant examines smart solutions for clean air an ai guided approach to sustainable industrial pollution control in coal fired power plant. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Spatio temporal dynamics variation of dissolved organic matter and water quality parameters in Giheung Reservoir A vertical perspective

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Spatio temporal dynamics variation of dissolved organic matter and water quality parameters in Giheung Reservoir A vertical perspective examines spatio temporal dynamics variation of dissolved organic matter and water quality parameters in giheung reservoir a vertical perspective. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Sustainable CO2 capture via adsorption by chitosan based functional biomaterial A review on recent advances, challenges, and future directions

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Sustainable CO2 capture via adsorption by chitosan based functional biomaterial A review on recent advances, challenges, and future directions examines sustainable co2 capture via adsorption by chitosan based functional biomaterial a review on recent advances, challenges, and future directions. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Synergistic effects of catalytic co pyrolysis Chlorella vulgaris and polyethylene mixtures using artificial neuron network Thermodynamic and empirical kinetic analyses

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Synergistic effects of catalytic co pyrolysis Chlorella vulgaris and polyethylene mixtures using artificial neuron network Thermodynamic and empirical kinetic analyses examines synergistic effects of catalytic co pyrolysis chlorella vulgaris and polyethylene mixtures using artificial neuron network thermodynamic and empirical kinetic analyses. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Techno economic evaluation of microalgae based supply chain Review on recent approaches

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Techno economic evaluation of microalgae based supply chain Review on recent approaches examines techno economic evaluation of microalgae based supply chain review on recent approaches. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Transitioning of localized renewable energy system towards sustainable hydrogen development planning P graph approach

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Transitioning of localized renewable energy system towards sustainable hydrogen development planning P graph approach examines transitioning of localized renewable energy system towards sustainable hydrogen development planning p graph approach. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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Unraveling the Behavior of Stormwater Runoff at Interception Facilities An Explicit Focus on Dissolved Organic Matter with Analytical Measurement

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Unraveling the Behavior of Stormwater Runoff at Interception Facilities An Explicit Focus on Dissolved Organic Matter with Analytical Measurement examines unraveling the behavior of stormwater runoff at interception facilities an explicit focus on dissolved organic matter with analytical measurement. It outlines practical pathways for applying these findings and highlights expected impact on sustainable operations.

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