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Intelligent and Safe Computer Systems in Control and Diagnostics

Overview of attention for book
Cover of 'Intelligent and Safe Computer Systems in Control and Diagnostics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
Attention for Chapter 27: Neural Modelling of Dynamic Systems with Time Delays Based on an Adjusted NEAT Algorithm
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Chapter title
Neural Modelling of Dynamic Systems with Time Delays Based on an Adjusted NEAT Algorithm
Chapter number 27
Book title
Intelligent and Safe Computer Systems in Control and Diagnostics
Published in
arXiv, September 2022
DOI 10.1007/978-3-031-16159-9_27
Book ISBNs
978-3-03-116158-2, 978-3-03-116159-9
Authors

Krzysztof Laddach, Rafał Łangowski, Laddach, Krzysztof, Łangowski, Rafał, Rafał Łangowskii

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Engineering 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2023.
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#21,943,319
of 24,483,002 outputs
Outputs from arXiv
#725,002
of 986,101 outputs
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#353,966
of 420,284 outputs
Outputs of similar age from arXiv
#24,338
of 35,176 outputs
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So far Altmetric has tracked 986,101 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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