Intelligent Distributed Computing XII

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Del Ser, Javier (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Osaba, Eneko (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Bilbao, Miren Nekane (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sanchez-Medina, Javier J. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Vecchio, Massimo (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Yang, Xin-She (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Studies in Computational Intelligence, 798
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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 Classification.