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Intelligent and Safe Computer Systems in Control and Diagnostics

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Table of Contents

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    Book Overview
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    Chapter 1 Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis
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    Chapter 2 Machine-Aided Detection of SARS-CoV-2 from Complete Blood Count
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    Chapter 3 Automatic Breath Analysis System Using Convolutional Neural Networks
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    Chapter 4 Bridging Functional Model of Arterial Oxygen with Information of Venous Blood Gas: Validating Bioprocess Soft Sensor on Human Respiration
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    Chapter 5 COVID-19 Severity Forecast Based on Machine Learning and Complete Blood Count Data
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    Chapter 6 Computer Diagnosis of Color Vision Deficiencies Using a Mobile Device
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    Chapter 7 Simulation Model and Scenarios for Testing Detectability of Cyberattacks in Industrial Control Systems
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    Chapter 8 Functional Safety Management in Hazardous Process Installations Regarding the Role of Human Operators Interacting with the Control and Alarm Systems
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    Chapter 9 Controller Modelling as a Tool for Cyber-Attacks Detection
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    Chapter 10 Comparison of Traditional and Elliptic Curves Digital Signatures Providing the Same Security Level
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    Chapter 11 Fundamental Concepts of Modeling Computer Security in Cyberphysical Systems
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    Chapter 12 Training of Deep Learning Models Using Synthetic Datasets
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    Chapter 13 Autonomous Perception and Grasp Generation Based on Multiple 3D Sensors and Deep Learning
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    Chapter 14 Open-Set Speaker Identification Using Closed-Set Pretrained Embeddings
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    Chapter 15 Condition-Based Monitoring of DC Motors Performed with Autoencoders
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    Chapter 16 Estimation of Mass Flow Rates of Two-Phase Flow Using Convolutional Neural Networks
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    Chapter 17 Recurrent Neural Network Based Adaptive Variable-Order Fractional PID Controller for Small Modular Reactor Thermal Power Control
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    Chapter 18 LSTM Model-Based Fault Detection for Electric Vehicle’s Battery Packs
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    Chapter 19 Remaining Useful Life Prediction of the Li-Ion Batteries
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    Chapter 20 Detection of Multiple Leaks in Liquid Transmission Pipelines Using Static Flow Model
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    Chapter 21 Application of Bayesian Functional Gaussian Mixture Model Classifier for Cable Fault Isolation
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    Chapter 22 Verification and Benchmarking in MPA Coprocessor Design Process
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    Chapter 23 Sensor Fault Analysis of an Isolated Photovoltaic Generator
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    Chapter 24 A Set-Based Uncertainty Quantification of Evolving Fuzzy Models for Data-Driven Prognostics
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    Chapter 25 Qualia: About Personal Emotions Representing Temporal Form of Impressions - Implementation Hypothesis and Application Example
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    Chapter 26 Resistant to Correlated Noise and Outliers Discrete Identification of Continuous Non-linear Non-stationary Dynamic Objects
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    Chapter 27 Neural Modelling of Dynamic Systems with Time Delays Based on an Adjusted NEAT Algorithm
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    Chapter 28 A Model-Based Approach for Testing Automotive Embedded Systems – A Preliminary Study
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    Chapter 29 An Analysis of Observability and Detectability for Different Sets of Measured Outputs – CSTR Case Study
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    Chapter 30 The ‘Sense and Avoid’ Aircraft System Based-on a Monocular Camera as the Last Chance to Prevent Accidents
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    Chapter 31 Dynamic Positioning Capability Assessment for Ship Design Purposes
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    Chapter 32 Degradation Tolerant Optimal Control Design for Linear Discrete-Times Systems
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    Chapter 33 A Predictive Fault-Tolerant Tracking Control for Constrained Dynamic Systems
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    Chapter 34 A New Version of the On-Line Adaptive Non-standard Identification Procedure for Continuous-Time MISO Physical Processes
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    Chapter 35 Autonomous Systems Incidentally Controlled by a Remote Operator
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Title
Intelligent and Safe Computer Systems in Control and Diagnostics
Published by
Springer International Publishing, September 2022
DOI 10.1007/978-3-031-16159-9
ISBNs
978-3-03-116158-2, 978-3-03-116159-9
Editors

Kowalczuk, Zdzislaw

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