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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
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
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ISBN No.: 9783031838873
Pages: 362
Year: 202504
Format: Trade Paper
Price: $ 104.99
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

- 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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