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Record Nr. |
UNINA9911011774503321 |
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Autore |
Barbato Michele |
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Titolo |
Beyond Frontiers of Operations Research: Emerging Technologies and Innovative Optimization Paradigms : Proceedings of the 7th AIROYoung Workshop (February 15-17, 2023, University of Milan, Italy) and 8th AIROYoung Workshop (February 14-16, 2024, University of Calabria, Italy) / / edited by Michele Barbato, Annarita De Maio, Giusy Macrina, Lorenzo Peirano, Marco Premoli |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (198 pages) |
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Collana |
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AIRO Springer Series, , 2523-7055 ; ; 14 |
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Altri autori (Persone) |
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De MaioAnnarita |
MacrinaGiusy |
PeiranoLorenzo |
PremoliMarco |
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Disciplina |
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Soggetti |
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Mathematics |
Computer science - Mathematics |
Mathematical optimization |
Applications of Mathematics |
Mathematical Applications in Computer Science |
Optimization |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Interactions between Operations Research and Machine Learning -- From Roads to Rails: Bridging the Gap in Signal Recognition Through Computer Vision -- On the hardness of Edge Coloring Problems Associated with Scheduling -- Machine Learning Algorithms for supporting Optimization in Defining Yard Stacking Strategies -- Assessing the academic performance of Italian students using an explainable machine learning approach -- Integrating Human-Centric AI in Fashion Industry Optimization: A Step Towards Industry 5.0. |
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Sommario/riassunto |
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This book is the result of the presentations given at the 7th AIROYoung Workshop (University of Milan, Italy—February 15 to 17, 2023) and 8th |
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AIROYoung Workshop (University of Calabria, Italy—February 14 to 16, 2024). The selected contributions represent the state-of-the-art knowledge related to several areas of operations research, optimization and data science. The target audience of this book is primarily composed of Ph.D. students and early or experienced researchers in optimization and operations research. Due to its interdisciplinary content, it is of high interest to other closely related research communities. Moreover, it is of interest also for practitioners facing complex decision-making problems in these areas. |
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