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  • Produktbild: Computer Aided Systems Theory – EUROCAST 2024
  • Produktbild: Computer Aided Systems Theory – EUROCAST 2024
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Computer Aided Systems Theory – EUROCAST 2024 19th International Conference, Las Palmas de Gran Canaria, Spain, February 25 – March 1, 2024, Revised Selected Papers, Part I

Aus der Reihe Lecture Notes in Computer Science
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69,99 € UVP 81,39 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.04.2025

Abbildungen

XXIV, 462 p. 189 illus., 135 illus. in color.

Herausgeber

Alexis Quesada-Arencibia + weitere

Verlag

Springer

Seitenzahl

462

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Sprache

Englisch

ISBN

978-3-031-82951-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

24.04.2025

Abbildungen

XXIV, 462 p. 189 illus., 135 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

462

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Sprache

Englisch

ISBN

978-3-031-82951-2

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Computer Aided Systems Theory – EUROCAST 2024
  • Produktbild: Computer Aided Systems Theory – EUROCAST 2024

  • .- 
    Systems Theory, Applications, Pioneers, and Landmarks
    .


    .- The Application of Named Entity Recognition in Military Intelligence.


    .- A System-Theoretical Multi-Agent Approach to Human Computer Interaction.


    .- Data Transformation: Limitless Strategies in Energy Consumption.


    .- 
    Theory and Applications of Metaheuristic Algorithms
    .


    .- VFLBench: A Practical Benchmark for Vertical Federated Learning in Smart Manufacturing.


    .- A Hybrid Cooperative Approach for Symbolic Regression.


    .- Comparing Constraint Evaluation Methods for Shape constrained Regression.


    .- Re-evaluation in Dynamic Tree-Search with Backtracking from Known Solutions.


    .- Application of Adapt-CMSA to the Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries.


    .- Optimizing Public Transport Through Integration of Microscopic and Macroscopic Simulations.


    .- Automated Inference of Domain Knowledge in Scientific Machine Learning.


    .- Automated Guided Vehicles in Yard Logistics: A time dependent approach.


    .- Diversity Management in Evolutionary Dynamic Optimization.


    .- Tackling the α-Domination Problem Heuristically.


    .- A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming.


    .- Composable Evolutionary Computation.


    .- Solving the Manhattan Metric Straddle Carrier Routing Problem with Buffer Areas using a Hybrid Metaheuristic Method.


    .- Route Planning for Parcel Logistics Systems with Reusable Packaging.


    .- Selecting User Queries in Interactive Job Scheduling.


    .- Improvements in Large Neighborhood Search for the Electric Autonomous Dial-A-Ride Problem.


    .- A Hybrid Metaheuristic for a Tourist Route Recommender.


    .- Learning to Select Promising Initial Solutions for Large Neighborhood Search-Based Multi-Agent Path Finding.


    .- A Learning Twolevel Optimization Approach for the Demand Maximizing Battery Swapping Station Location Problem.


    .- Learning Value Functions for Same-Day Delivery Problems in the Tardiness Regime.


    .- Vectorial Genetic Programming - Optimizing Segments for Feature Extraction.


    .- 
    Mechatronic Product Development
    .


    .- Enhancing Manufacturing Efficiency through Integration of MBSE and Capella in the Digital Thread.


    .- Leveraging Learning Factories for Mechatronic Systems Development: A Collaborative Approach.


    .- CNN Based Radar Kick Sensor Gesture Recognition Prototype.


    .- Comparison of Different Battery-powered Tag Positions for Lower Limb Gesture Detection.


    .- 
    Model-Based System Design, Verification and Simulation
    .


    .- Comparison of Physiological Data Acquisition for Modeling of drivers in Autonomous Vehicles.


    .- Automated control of robots via 5G communication from Multi Accesss Edge Computing.


    .- Automatic classification of cow’s behavior during grazing.


    .- Programming Learning through the Use of ChatGPT.


    .- ChatGTP Language Model as Support for Teaching and Self learning in the Field of Engineering and Technical Sciences.


    .- Analytical Conversion of the Strejc Model to the First Order with Time Delay (FOTD) Model.


    .- Neural Analysis of Parameters Occurring in a Smart Building.


    .- Efficient Manipulation of Control Flow Models in Evolving Software.


    .- Textile Sensor Surrogate Modelling using Sparse Identification.


    .- Discrimination Criteria for Modeling Association, Aggregation, and Composition in UML Class Diagrams.