Description

Book Synopsis

.- 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 a-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.

Computer Aided Systems Theory EUROCAST 2024

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    £64.99

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    Order before 4pm today for delivery by Wed 17 Jun 2026.

    A Paperback by Alexis Quesada Arencibia

    15 in stock


      View other formats and editions of Computer Aided Systems Theory EUROCAST 2024 by Alexis Quesada Arencibia

      Publisher: Springer
      Publication Date: 15/04/2025
      ISBN13: 9783031829512, 978-3031829512
      ISBN10:

      Description

      Book Synopsis

      .- 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 a-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.

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