Computational Intelligence in Emerging Technologies for Engineering Applications

Bibliografske podrobnosti
Korporativna značnica: SpringerLink (Online service)
Drugi avtorji: Llanes Santiago, Orestes (Editor), Cruz Corona, Carlos (Editor), Silva Neto, Antônio José (Editor), Verdegay, José Luis (Editor)
Izvleček:XX, 291 p. 90 illus., 70 illus. in color.
text
Jezik:angleščina
Izdano: Cham : Springer International Publishing : Imprint: Springer, 2020.
Izdaja:1st ed. 2020.
Serija:Studies in Computational Intelligence, 872
Teme:
Online dostop:https://doi.org/10.1007/978-3-030-34409-2
Format: Elektronski eKnjiga
Kazalo:
  • Uncertainty Analysis of a Near-field Acoustic Levitation System
  • Uncertainty Quantification and Statistics of Curves and Surfaces
  • Meta-heuristic approaches for automatic roof measurement in solar panels installations
  • Solution of a Coupled Conduction-Radiation Inverse Heat Transfer Problem with the Topographical Global Optimization Method
  • Towards Intelligent Optimization of Design Strategies of Cyber Physical Systems: Measuring Efficacy through Evolutionary Computations
  • A Novel Approach for Leak Localization in Water Distribution Networks using Computational Intelligence
  • Determination of Nano-Aerosol Size Distribution using Differential Evolution
  • Estimation of Timewise Varying Boundary Heat Flux via Bayesian Filters and Markov Chain Monte Carlo Method
  • Health monitoring of automotive batteries in fast-charging conditions through a fuzzy model of the incremental capacity
  • Fault Detection and Isolation in Smart Grid Devices using Probabilistic Boolean Networks
  • EvaluatingAutomated Machine Learning on supervised regression Traffic Forecasting Problems
  • Multi-robot coalition formation and task allocation using immigrant based adaptive genetic algorithms
  • Lidar and Non-Extensive Particle Filter for UAV Autonomous Navigation
  • Quasi-optimization of the Time Dependent Travelling Salesman Problem by Intuitionistic Fuzzy Model and Memetic Algorithm
  • Analyzing Information and Communications Technology national indices by using Fuzzy Datamining Techniques.