EURO 2024 Copenhagen
Abstract Submission

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Session WC-28: Advancements of OR-analytics in statistics, machine learning and data science 10 in stream Advancements of OR-analytics in statistics, machine learning and data science

Wednesday, 12:30-14:00
Room: 065 (building: 208)

Session chair(s):
Jinal Parikh (jinal.parikh@ahduni.edu.in)
Gerhard-Wilhelm Weber (gerhard-wilhelm.weber@put.poznan.pl)

The following abstracts have been submitted in this session:
805. Greenhouse gases levels prediction using artificial neural networks Hugo Valadares Siqueira [R] - Brazil
accepted
Thiago Antonini Alves [R] - Brazil
Tiago Emmanuel Nunes Braga [] - Brazil
Ricardo Godoi [] - Brazil
Yara Tadano [] - Brazil
878. Forecasting mobile sources risks using artificial neural networks Thiago Antonini Alves [R] - Brazil
accepted
Hugo Valadares Siqueira [R] - Brazil
Tiago Emmanuel Nunes Braga [] - Brazil
Deivdy Silva [] - Brazil
Yago Honda [] - Brazil
Yara Tadano [] - Brazil
2356. Simulator-based surrogate optimisation: an enhanced framework for surrogate modelling and optimisation Yu Liu [R] - Finland
accepted
Fabricio Oliveira [R] - Finland
2758. Optimization with a multi-objective IRP model of the perishable supply chain for fast food restaurants, case of 3PL in Bogota D.C. JAVIER ENRIQUE MANTILLA ROSAS [R] - Colombia
accepted
Javier Arturo Orjuela Castro [] - Colombia
Juan Pablo Orejuela Cabrera [] - Colombia