Computer Aided Systems Theory - EUROCAST 2024
Description
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.
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Content
.- Applications of Signal Processing Technology.
.- Efficient Hardware Architecture for Random Forest Training.
.- Influence of Spike Encoding, Neuron Models and Quantization on SNN Performance.
.- Adaptive combination in Frequency Domain: An Approach for Robust Nonlinear Acoustic Echo Cancellation.
.- Using of a Robotic Platform to Detect Acoustic Events for Indoor Environments.
.- Applied Data Science and Engineering for Intelligent Transportation Systems and Smart Mobility.
.- Modeling Wildlife Accident Risk with Gaussian Mixture Models.
.- Towards a Unified Incident Detection and Response System for Autonomous Transportation.
.- Computer and Systems Based Methods and Electronic Tools in Clinical and Academic Medicine.
.- Edge-Processing of Myoelectric Signals for the Control of Hand- and Arm-Prostheses.
.- AI-Driven Gesture and Action Recognition for Learning Medicine through Virtual Reality.
.- Medical Protocols and AI-Driven Algorithms for Enhanced Monitoring of Cardiac Implantable Electronic Devices.
.- A Survey of Machine Learning Methods for Analyzing Synovitis Arthritis in Human Joints.
.- Motion tracking in Augmented and Mixed Realities for Healthcare and Medicine Applications.
.- Advancements and Applications of Medical Human Digital Twin Technology in Cerebral Palsy Diagnosis, Therapy, and Rehabilitation.
.- Systems in Industrial Robotics, Automation and IoT.
.- Transformation of IEC 61131-3 onto an Embedded Platform Using LLVM.
.- Machine Learning based Parameter Estimation of Energy Models in Digital Production Environments.
.- Efficient Classification of Live Sensor Data on Low-Energy IoT Devices with Simple Machine Learning Methods.
.- Machine Learning using a Hybrid Quantum Classical Algorithm with Amplitude Data Encoding.
.- Quantitative Trend Analysis of Reinforcement Learning Algorithms in Production Systems.
.- Using AutomationML for Advanced Simulation in Industrial Automation.
.- AR Digital Twin Demonstrator for Industrial Robotics Education.
.- Accelerating Manual Pick-and-Place Operations with AR Projected CAD Plans and AI-Assisted Object Recognition.
.- Systems Thinking: Applications in Technology, Science, and Management.
.- Variety Engineering - A Cybernetic Concept with Practical Implications.
.- Using a System Archetypes to Explore Business Model Challenges for Digital Textile Microfactories.
.- Interacting with the Water Cycle - Towards an Experimental Paradigm.
.- Systemic Thinking in IT Management of the Future: Where are the Benefits?.
.- Developing a Human Health Digital Twin for Cardiovascular Risk Assessment: Simulation Model and Dashboard.
.- The Human-Centered AI-DATA Model for Digital Customer Journeys in E-Commerce.
.- Using LLMs and Websearch in Order to Perform Fact Checking on Texts Generated by LLMs.
.- Data Science in Medical and Bio-Informatics.
.- Data Based Prediction of the Duration of the Postoperative Stay of Patients.
.- A Methodology to Build Spanish Trustworthy Question-Answer Datasets for Suicide Information.
.- Personalized ML-Assisted Respiratory Muscle Training for Patients with Paraplegia.
.- Modelling the Risk of Overweight and Obesity Based on the GenObiA Dataset using Genetic Programming.
.- Customization and Analysis of Orthopedic Aids.
.- Source Localization for Electrohydraulic Shockwave Devices.
.- Analysis of Fluorescence Images of C. elegans.