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 III

Quesada-Arencibia, Alexis; Moreno - DIaz, Roberto; Affenzeller, Michael

Springer International Publishing AG

03/2025

352

Mole

9783031838873

Pré-lançamento - envio 15 a 20 dias após a sua edição

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.- Modeling, Simulation, and Optimization in Production and Logistics.



.- Age-Layer-Population-Structure with Self-Adaptation in Optimization.



.- Machine Learning Update Strategies for Real-time Production Environments.



.- Online Machine Learning for the Estimation of Process Times in Dynamic Scheduling.



.- Concurrent Evolution of Dynamic Single- and Dual-Crane Scheduling Scenarios.



.- Learning-based Algorithm Selection for a Multiprocessor Scheduling Problem.



.- Using the Pilot Method as a Problem-Independent Metaheuristic for Multi-Objective Beam Search.



.- Solving two-machine sum-cost flow shop problem on D-Wave quantum annealer.



.- Integrating Optimization Techniques and Live Tracking Software in Maritime Logistics.



.- Incrementally Solving the Dynamic Stacking Problem.



.- Predicting the Processing Effort for Block Relocation Problems.



.- Modelling Electric Vehicle Routing Problem with Heterogeneous Fleet for Simultaneous Pickup and Delivery.



.- "Green AI" and SW-Tools for Sustainable Energy and Materials Consumption.



.- A Predictive Maintenance Concept for Sustainable Lubricant Oil Usage based on Federated Learning.



.- Introduction to Circular System Design and First Use Cases for Sustainable Product Development in Smart Meter Remanufacturing and Robotics.



.- Elegant Architectures: Sustainability in Information Technology.



.- Surrogates for Fair-Weather Photovoltaic Module Output.



.- How can Digital Twins Help to Accelerate the Transition to a Carbon-neutral Energy System?.



.- Performance and Computation Time Gains caused by Sampling rate Reduction in Time Series Deep Anomaly Detection.



.- Exploring the Green AI potential of Adapter Tuning for Language Models.



.- Stochastic Models, Statistical Methods, and Applied Systems Simulations.



.- Disease Incidence in a Stochastic SVIRS Model with Waning Immunity.



.- A spreaders-ignorants-skeptics model for the spreading of fake news and a related finite birth-death process.



.- Comparing some simulation strategies for first passage times of time-changed Brownian motion.



.- Numerical evaluations for fractional stochastc di erential equations in neuronal dynamics.



.- Handling Uncertainties on the Right-hand Side of a Classical Transportation Model by Stochastic Optimisation and a Matheuristic Approach.



.- Unified Formulations of Entropy and Extropy.



.- Time-inhomogeneous Diffusion Process for the SI Epidemic Model.



.- A Vasicek-type model with structural breaks in the drift.



.- Estimating a time-inhomogeneous hyperlogistic diffusion process.



.- Systems Cybersecurity Technologies and Quantum Approaches Potentials.



.- A Federated Learning-based Android Malware Detector through Differential Privacy.



.- A Generative Model Based Honeypot for Industrial OPC UA Communication.



.- Theoretical Approach to Backdoor Attack on CRYSTALS Dilithium.



.- An IoT Lab Dedicated to Cybersecurity - Teaching, Learning and Research.
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Systems Theory;Systems Modelling and Simulation;Information and Communication Technologies and History;Heuristic and Metaheuristic Algorithms;Model-Based System Design;Signal Processing Technology;Artificial Intelligence;Data Mining;Intelligent Transportation Systems;Smart Mobility;Data Science in Medical and Bio-Informatics;Production and Logistics;Sustainable Energy and Materials Consumption;Computer Tools in Clinical and Academic Medicine;Industrial Robotics;IoT;Systems Thinking;Cybersecurity Technologies;Quantum Approaches Potentials;Mechatronic Product Development