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Author:   Alexis Quesada-Arencibia ,  Michael Affenzeller ,  Roberto Moreno-Díaz
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   15174
ISBN:  

9783031838873

ISBN 10:   3031838874
Pages:   362
Publication Date:   24 April 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

.- 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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