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Complex Computational Ecosystems

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Cover of 'Complex Computational Ecosystems'

Table of Contents

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    Book Overview
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    Chapter 1 Automation of User Interface Testing by Reinforcement Learning-Based Monkey Agents
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    Chapter 2 New Siamese Neural Networks for Text Classification and Ontologies Alignment
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    Chapter 3 Theorizing, Modeling and Visualizing Business Ecosystems. What Should Be Done?
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    Chapter 4 A Comparative Study of YOLO V4 and V5 Architectures on Pavement Cracks Using Region-Based Detection
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    Chapter 5 Evolutionary Reduction of the Laser Noise Impact on Quantum Gates
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    Chapter 6 Short Time Series Forecasting Method Based on Genetic Programming and Kalman Filter
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    Chapter 7 Performance Upgrade of Sequence Detector Evolution Using Grammatical Evolution and Lexicase Parent Selection Method
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    Chapter 8 Fuzzy Pattern Trees with Pre-classification
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    Chapter 9 Models for the Computational Design of Microfarms
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    Chapter 10 Vegee Brain Automata: Ultradiscretization of Essential Chaos Transversal in Neural and Ecosystem Dynamics
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    Chapter 11 Modeling Ecosystem Management Based on the Integration of Image Analysis and Human Subjective Evaluation - Case Studies with Synecological Farming
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    Chapter 12 On the Provision of Network-Wide Cyber Situational Awareness via Graph-Based Analytics
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    Chapter 13 Metrics for Evaluating Interface Explainability Models for Cyberattack Detection in IoT Data
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    Chapter 14 Machine Learning Model Applied to Higher Education
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    Chapter 15 Modeling El Niño and La Niña Events Using Evolutionary Algorithms
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    Chapter 16 Estimation of Seismic Phase Delays Using Evolutionary Algorithms
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Title
Complex Computational Ecosystems
Published by
Springer Nature Switzerland, November 2023
DOI 10.1007/978-3-031-44355-8
ISBNs
978-3-03-144354-1, 978-3-03-144355-8
Editors

Collet, Pierre, Gardashova, Latafat, El Zant, Samer, Abdulkarimova, Ulviya

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