Innovative Intelligent Industrial Production and Logistics : First International Conference, IN4PL 2020, Virtual Event, November 2-4, 2020, and Second International Conference, IN4PL 2021, Virtual Event, October 25-27, 2021, Revised Selected Papers / edited by Alexander Smirnov, Hervé Panetto, Kurosh Madani
Material type:
E-bookSeries: (Communications in Computer and Information Science, 1865-0937 ; 1855).Publisher: Cham : Springer Nature Switzerland , 2023Edition: 1st ed 2023.Description: 1 recurso en línea.ISBN: 9783031372285.Subject: Inteligencia artificial -- Congresos y asambleas
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA347 .A78 2023 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook04012500 |
On Kernel Search based Gaussian Process Anomaly Detection -- Measuring Dependencies in Cyber-physical Systems: Overhead Cranes Case Study -- Design of Ambient Conditions Control Capability in Retail -- HyDensity: A Hyper-Volume-based Density Metric for Automatic Cluster Evaluation -- Synchronizing Devices using Asset Administration Shells -- A Family of Digital T Workflows and Architectures: Exploring Two Cases -- Online Facility Location Problems Inspired by the COVID-19 Pandemic -- An Online Variant of Set Cover Inspired by Happy Clients -- General Architecture Framework and General Modelling Framework: Interoperability of Enterprise Architecture.
This volume includes extended and revised versions of a set of selected papers from the First International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2020, held as virtual event in November 4-6, 2020 and Second International Conference on Innovative Intelligent Industrial Production and Logistics, IN4PL 2021, held as virtual event in October 25-27, 2021. The 9 full papers included in this book were carefully reviewed and selected from 44 submissions. They were organized in topical sections as follows: on kernel search based gaussian process anomaly detection; general architecture framework and general modelling framework.
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