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COVID-19 Hospital Resource Management Dataset - Lombardy 2020 - replication data
Jun 7, 2022 - Optlab
Premoli, Marco; Barbato, Michele; Ceselli, Alberto, 2021, "COVID-19 Hospital Resource Management Dataset - Lombardy 2020 - replication data", https://doi.org/10.13130/RD_UNIMI/WWUZIJ, UNIMI Dataverse, V3
This dataset contains realistic instances for the problem "hospital resource management" (HRM), corresponding to the first wave of COVID-19 in Spring 2020 in Lombardy Region (Italy). Refer to file 'SOURCES_FORMULAS_ASSUMPTIONS.pdf' for detailed information about data sources, for...
Replication data for "The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data"
Sep 23, 2021 - EveryWare Lab
Arrotta, Luca; Civitarese, Gabriele; Bettini, Claudio, 2021, "Replication data for "The MARBLE Dataset: Multi-inhabitant Activities of Daily Living Combining Wearable and Environmental Sensors Data"", https://doi.org/10.13130/RD_UNIMI/VGLD0Y, UNIMI Dataverse, V1
MARBLE is a multi-inhabitant activities of daily living (ADLs) dataset that combines both smart-watch and environmental sensors data. MARBLE includes sixteen hours of ADLs considering scripted but realistic scenarios where up to four subjects live in the same home environment
Replication data for "Dantzig–Wolfe reformulations for binary quadratic problems" - kQKP dataset
Jul 27, 2021 - Optlab
Ceselli, Alberto; Létocart, Lucas; Traversi, Emiliano, 2021, "Replication data for "Dantzig–Wolfe reformulations for binary quadratic problems" - kQKP dataset", https://doi.org/10.13130/RD_UNIMI/3QA23K, UNIMI Dataverse, V1
The dataset contains instances for the cardinality constrained quadratic knapsack problem. These are used to test decomposition methods for Binary Quadratic Programs. Full details are given in the corresponding paper "Dantzig-Wolfe Reformulations for Binary Quadratic Problems "....
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