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ORCID19th EUROCAST 2024: Las Palmas de Gran Canaria, Spain - Part I
- Alexis Quesada-Arencibia
, Michael Affenzeller, Roberto Moreno-Díaz:
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. Lecture Notes in Computer Science 15172, Springer 2025, ISBN 978-3-031-82951-2
Invited Lectures
- Dirk Jacob:
Smart Green Island Makeathon. 3-11
Systems Theory, Applications, Pioneers, and Landmarks
- Christian Nitzl, Achim Cyran, Sascha Krstanovic, Uwe M. Borghoff:
The Application of Named Entity Recognition in Military Intelligence. 15-22 - Uwe M. Borghoff, Paolo Bottoni, Remo Pareschi:
A System-Theoretical Multi-agent Approach to Human-Computer Interaction. 23-32 - Margaret Miró-Julià, Monica J. Ruiz-Miró, Ricardo Alberich, Francisco Cordero Piñero, Nelson Alirio Cruz:
Data Transformation: Limitless Strategies in Energy Consumption. 33-41
Theory and Applications of Metaheuristic Algorithms
- Du Nguyen Duy, Ramin Nikzad-Langerodi, Michael Affenzeller:
VFLBench: A Practical Benchmark for Vertical Federated Learning in Smart Manufacturing. 45-52 - Bahareh Etaati, Stefan Wagner, Michael Affenzeller:
A Hybrid Cooperative Approach for Symbolic Regression. 53-67 - Christian Haider, Florian Bachinger, Florian Holzinger, Fabrício Olivetti de França:
Comparing Constraint Evaluation Methods for Shape-Constrained Regression. 68-76 - Philipp Fleck, Philipp Neuhauser, Sebastian Leitner, Stefan Wagner:
Re-evaluation in Dynamic Tree-Search with Backtracking from Known Solutions. 77-89 - Mehmet Anil Akbay, Christian Blum, Can Berk Kalayci:
Application of Adapt-CMSA to the Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries. 90-106 - Kate Han, Lee A. Christie, Alexandru-Ciprian Zavoianu, John A. W. McCall:
Optimising Public Transport Through the Integration of Micro and Macro-level Simulations. 107-121 - Florian Bachinger, Christian Haider, Jan Zenisek, Fabrício Olivetti de França, Michael Affenzeller:
Automated Inference of Domain Knowledge in Scientific Machine Learning. 122-130 - Ulrike Ritzinger, Bin Hu, Martin Reinthaler:
Automated Guided Vehicles in Yard Logistics: A Time-Dependent Approach. 131-139 - Bernhard Werth, Johannes Karder, Stefan Wagner, Michael Affenzeller:
Diversity Management in Evolutionary Dynamic Optimization. 140-147 - Enrico Iurlano, Johannes Varga, Günther R. Raidl:
Tackling the α-Domination Problem Heuristically. 148-156 - Yousef A. Radwan, Gabriel Kronberger, Stephan Winkler:
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming. 157-171 - Jan Zenisek, Florian Bachinger, Florian Holzinger, Erik Pitzer, Stefan Wagner, Michael Affenzeller:
Composable Evolutionary Computation. 172-180 - Ahmet Cürebal, Nina Radojicic, Leonard Heilig, Stefan Voß:
Solving the Manhattan Metric Straddle Carrier Routing Problem with Buffer Areas Using a Hybrid Metaheuristic Method. 181-192 - Georg Brandstätter, Wolfgang Ponweiser, Matthias Prandtstetter:
Route Planning for Parcel Logistics Systems with Reusable Packaging. 193-201 - Johannes Varga, Günther R. Raidl, Tobias Rodemann:
Selecting User Queries in Interactive Job Scheduling. 202-210 - Maria Bresich, Günther R. Raidl, Steffen Limmer:
Improvements in Large Neighborhood Search for the Electric Autonomous Dial-A-Ride Problem. 211-220 - Cristina González-Navasa, José Andrés Moreno-Pérez, Julio Brito:
A Hybrid Metaheuristic for a Tourist Route Recommender. 221-235 - Marc Huber, Günther R. Raidl, Christian Blum:
Learning to Select Promising Initial Solutions for Large Neighborhood Search-Based Multi-Agent Path Finding. 236-250 - Laurenz Tomandl, Thomas Jatschka, Günther R. Raidl, Tobias Rodemann:
A Learning Twolevel Optimization Approach for the Demand Maximizing Battery Swapping Station Location Problem. 251-262 - Nikolaus Frohner, Günther R. Raidl:
Learning Value Functions for Same-Day Delivery Problems in the Tardiness Regime. 263-271 - Philipp Fleck, Stephan Winkler, Michael Kommenda, Michael Affenzeller:
Vectorial Genetic Programming - Optimizing Segments for Feature Extraction. 272-279
Mechatronic Product Development
- Michael Burgstaller, Thomas Schichl, Mario Jungwirth:
Enhancing Manufacturing Efficiency Through Integration of MBSE and Capella in the Digital Thread. 283-293 - Pavel Kopylov, Jule Wegen, Thomas Schlechter, Karen Althea Manfredi, Letizia Nicoletti, Antonio Padovano, Martina Cardamone, Emmanuel Francalanza:
Leveraging Learning Factories for Mechatronic Systems Development: A Collaborative Approach. 294-303 - Shadman Mahmud, Thomas Schlechter, Andreas Loeffler:
CNN Based Radar Kick Sensor Gesture Recognition Prototype. 304-315 - Christina Hofer, Julia Mayer, Valentin Sturm, Klaus Pendl, Erwin Schimbäck, Christian Kastl, Frederick Runte:
Comparison of Different Battery-Powered Tag Positions for Lower Limb Gesture Detection. 316-324
Model-Based System Design, Verification and Simulation
- Raúl Fernandez-Matellan, David Puertas-Ramirez, David Martín Gómez, Jesus Boticario:
Comparison of Physiological Data Acquisition for Modeling of Drivers in Autonomous Vehicles. 327-341 - Akira Sasaki, Nobuo Kobayashi, Yoshiro Takanashi, Naoya Yamamoto, Atsushi Ito:
Automated Control of Robots via 5G Communication from Multi-accesss Edge Computing. 342-353 - Atsushi Ito, Kota Nagakura, Lily Unume, Yuko Hiramatsu, Tomoko Nakano, Yoshikazu Nagao, Rika Fukumori, Hirosugu Yamamoto, Yukitoshi Otani, Shiro Suyama, Masaki Yasugi, Yasutoshi Yoshiura:
Automatic Classification of Cow's Behavior During Grazing. 354-364 - Ami Otsuka, Akira Sasaki, Atsushi Ito:
Programming Learning Through the Use of ChatGPT. 365-375 - Anna Czemplik, Iwona Karcz-Duleba:
ChatGPT Language Model as Support for Teaching and Self-learning in the Field of Engineering and Technical Sciences. 376-387 - Anna Czemplik:
Analytical Conversion of the Strejc Model to the First Order with Time Delay (FOTD) Model. 388-401 - Andrzej Stachno:
Neural Analysis Parameters Occurring in a Smart Building. 402-411 - Tomás Fiedor, Jirí Pavela, Adam Rogalewicz, Tomás Vojnar:
Efficient Manipulation of Control Flow Models in Evolving Software. 412-428 - Martin Steiger, Phillip Petz, Stephan Schuler:
Textile Sensor Surrogate Modeling Using Sparse Identification. 429-442 - Miguel Alemán-Flores:
Discrimination Criteria for Modeling Association, Aggregation, and Composition in UML Class Diagrams. 443-457
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