Works matching IS 02545330 AND DT 2024 AND VI 335 AND IP 2
Results: 8
An Introduction to the Applications of Operations Research and Data Science in Disrupting Illicit Markets.
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- Annals of Operations Research, 2024, v. 335, n. 2, p. 641, doi. 10.1007/s10479-024-05919-4
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Robust maximum flow network interdiction considering uncertainties in arc capacity and resource consumption.
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- Annals of Operations Research, 2024, v. 335, n. 2, p. 689, doi. 10.1007/s10479-023-05812-6
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Two-stage nodal network interdiction under decision-dependent uncertainty.
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- Annals of Operations Research, 2024, v. 335, n. 2, p. 665, doi. 10.1007/s10479-023-05630-w
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Social drug dealing: how peer-to-peer fintech platforms have transformed illicit drug markets.
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- Annals of Operations Research, 2024, v. 335, n. 2, p. 645, doi. 10.1007/s10479-023-05617-7
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Disentangling human trafficking types and the identification of pathways to forced labor and sex: an explainable analytics approach.
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- Annals of Operations Research, 2024, v. 335, n. 2, p. 761, doi. 10.1007/s10479-023-05520-1
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Shortest path network interdiction with incomplete information: a robust optimization approach.
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- Annals of Operations Research, 2024, v. 335, n. 2, p. 727, doi. 10.1007/s10479-023-05350-1
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Multi-period max flow network interdiction with restructuring for disrupting domestic sex trafficking networks.
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- Annals of Operations Research, 2024, v. 335, n. 2, p. 797, doi. 10.1007/s10479-022-05087-3
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Discovering maritime-piracy hotspots: a study based on AHP and spatio-temporal analysis.
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- Annals of Operations Research, 2024, v. 335, n. 2, p. 861, doi. 10.1007/s10479-023-05352-z
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- Article