Intelligent Distributed Computing XII / edited by Javier Del Ser, Eneko Osaba, Miren Nekane Bilbao, Javier J. Sanchez-Medina, Massimo Vecchio, Xin-She Yang

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Studies in Computational Intelligence ; 798 | SpringerLink BücherVerlag: Cham : Springer International Publishing, 2018Beschreibung: Online-Ressource (XV, 448 p. 108 illus, online resource)ISBN:

9783319996264

Schlagwörter:

Andere physische Formen: 9783319996257 | 9783319996271 | Erscheint auch als: 978-3-319-99625-7 Druck-Ausgabe | Printed edition: 9783319996257 | Printed edition: 9783319996271 DDC-Klassifikation:

006.3

LOC-Klassifikation:

Q342

DOI: DOI: 10.1007/978-3-319-99626-4Online-Ressourcen:

Zusammenfassung: This book gathers a wealth of research contributions on recent advances in intelligent and distributed computing, and which present both architectural and algorithmic findings in these fields. A major focus is placed on new techniques and applications for evolutionary computation, swarm intelligence, multi-agent systems, multi-criteria optimization and Deep/Shallow machine learning models, all of which are approached as technological drivers to enable autonomous reasoning and decision-making in complex distributed environments. Part of the book is also devoted to new scheduling and resource allocation methods for distributed computing systems. The book represents the peer-reviewed proceedings of the 12th International Symposium on Intelligent Distributed Computing (IDC 2018), which was held in Bilbao, Spain, from October 15 to 17, 2018Zusammenfassung: Part I: Main Track -- Long distance in-links for ranking enhancement -- Concept Tracking and Adaptation for Drifting Data Streams under Extreme Verification Latency -- Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures -- Slot Co-allocation Optimization in Distributed Computing with Heterogeneous Resources -- About Designing an Observer Pattern-Based Architecture for a Multi-Objective Metaheuristic Optimization Framework -- Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform -- Finding Best Compiler Options for Critical Software Using Parallel Algorithms -- Drift Detection over Non-stationary Data Streams using Evolving Spiking Neural Networks -- Part II: Energy -- A Hybrid Ensemble of Heterogeneous Regressors for Wind Speed Estimation in Wind Farms -- Bio-inspired approximation to MPPT under real irradiation conditions -- Part III: Industry -- Decision Making in Industry 4.0 Scenarios supported by Imbalanced Data ClassificationPPN: PPN: 1038685443Package identifier: Produktsigel: ZDB-2-ENG | ZDB-2-SEB | ZDB-2-SXE

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