Computer Aided Systems Theory ? EUROCAST 2024 - Quesada-Arencibia, Alexis; Affenzeller, Michael; Moreno - DÍaz, Roberto; (szerk.) - Prospero Internetes Könyváruház
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Értesítés a kedvenc témákról
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A termék adatai:
ISBN13:9783031838842
ISBN10:303183884X
Kötéstípus:Keménykötés
Terjedelem:352 oldal
Méret:235x155 mm
Nyelv:angol
Illusztrációk: 151 Illustrations, black & white
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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 III
 
Kiadó: Springer
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Hosszú leírás:

This three part LNCS volumes constitutes the refereed proceedings of the 19th International Conference on Computer-Aided Systems Theory, EUROCAST 2024, held in Las Palmas de Gran Canaria, Spain, during February 25 to March 1, 2024. 



The 104 full papers included in this book were carefully reviewed and selected from 150 submissions. They were organized in topical sections as follows :



Part I :  Systems Theory, Applications, Pioneers, and Landmarks; Theory and Applications of Metaheuristic Algorithms; Mechatronic Product Development; and Model-Based System Design, Verification and Simulation.



Part II :  Applications of Signal Processing Technology; Applied Data Science and Engineering for Intelligent Transportation Systems and Smart Mobility; Computer and Systems Based Methods and Electronic Tools in Clinical and Academic Medicine ; Systems in Industrial Robotics, Automation and IoT; Systems Thinking: Applications in Technology, Science and Management; and Data Science in Medical and Bio-Informatics.



Part III : Modeling, Simulation, and Optimization in Production and Logistics; "Green AI" and SW-Tools for Sustainable Energy and Materials Consumption; Stochastic Models, Statistical Methods, and Applied Systems Simulations; and Systems Cybersecurity Technologies and Quantum Approaches Potentials.

Tartalomjegyzék:

.- 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.