has been cited by the following article(s):
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[1]
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Probabilistic-fuzzy programming model with chance-constrained to optimize wastewater treatment plants: A case study with the Bantul wastewater treatment plant layout
E3S Web of Conferences,
2025
DOI:10.1051/e3sconf/202560503036
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[2]
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Chance-constrained fuzzy optimization model for enhancing facultative ponds: A case study at Bantul wastewater treatment plant
INTERNATIONAL CONFERENCE ON ELECTRONICS, ENGINEERING PHYSICS, AND EARTH SCIENCE,
2024
DOI:10.1063/5.0194557
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[3]
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Chance-constrained programming approach for optimizing the performance of domestic wastewater stabilization ponds under uncertainty and chance-based policy: The static case
12TH INTERNATIONAL SEMINAR ON NEW PARADIGM AND INNOVATION ON NATURAL SCIENCES AND ITS APPLICATIONS (12TH ISNPINSA): Contribution of Science and Technology in the Changing World,
2024
DOI:10.1063/5.0218392
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[4]
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Integrated fuzzy and probabilistic programming for optimizing wastewater pollutant degradation processes: A static case
ADVANCES IN INTELLIGENT APPLICATIONS AND INNOVATIVE APPROACH,
2023
DOI:10.1063/5.0140555
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[5]
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Dynamic-chance-constrained-based Fuzzy Programming Approach for Optimizing Wastewater Facultative Ponds for Multi-period Case
WSEAS TRANSACTIONS ON SYSTEMS,
2023
DOI:10.37394/23202.2024.23.3
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