Computer Aided Systems Theory - EUROCAST 2024
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
Quesada-Arencibia, Alexis; Affenzeller, Michael; Moreno-Diaz, Roberto
Springer International Publishing AG
05/2025
462
Mole
Inglês
9783031829512
Pré-lançamento - envio 15 a 20 dias após a sua edição
.- 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 ?-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.
.- 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 ?-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.