Advances in Computational Intelligence Systems

Table of Contents

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   Book Overview
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   Chapter 3 Rough-Fuzzy Rule Interpolation for Data-Driven Decision Making
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   Chapter 4 Fuzzy Intelligent System for Improving High Availability of a Docker-Based Hybrid Cloud Infrastructure
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   Chapter 5 A Study of Neuro-Weighted Nearest-Neighbour Classification
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   Chapter 6 Q-Routing with Multiple Soft Requirements
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   Chapter 8 Stochasticity Improves Evolvability in Artificial Gene Regulatory Networks
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   Chapter 9 ACO Inspired GA Mutation Applied to the TSP
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   Chapter 10 Centralised and Decentralised Control of Video Game Agents
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   Chapter 11 An Enhancement of the NSGA-II Reliability Optimization Using Extended Kalman Filter Based Initialization
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    Chapter 12 Discrete-Time Recurrent Neural Network for Solving Multi-linear $$\mathcal {M}$$ M -tensor Equation
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    Chapter 13 An Approach to Implementing Convolutional Neural Network Based on Low Density FPGA
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    Chapter 14 Towards a Framework for Interpretation of CNN Results with ANFIS
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    Chapter 15 Syntactic Dependency Constraint Based Graph Convolutional Network for Aspect Level Sentiment Classification
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    Chapter 16 Faster RCNN Hyperparameter Selection for Breast Lesion Detection in 2D Ultrasound Images
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    Chapter 17 Asymmetric Convolution View Adaptation Networks for Skeleton-Based Human Action Recognition
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    Chapter 18 Ankle Variable Impedance Control for Humanoid Robot Upright Balance Control
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    Chapter 19 Robust Control for Autonomous Surveillance with Unmanned Aerial Manipulator
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    Chapter 20 Design and Implementation of Bionic Flying Fish with Applications
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    Chapter 21 Decentralised and Privacy Preserving Machine Learning for Multiple Distributed Data Resources
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    Chapter 22 Markov Decision Processes with Contextual Nodes as a Method of Assessing Attacking Player Performance in Rugby League
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    Chapter 23 Rule Base Structure and Influence of Existing Rules: An Initial Investigation
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    Chapter 24 Using AI Approaches for Predicting Tomato Growth in Hydroponic Systems
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    Chapter 25 Interpretable Model for Artefact Detection in Local Field Potentials via Feature Extraction and Decision Trees
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    Chapter 26 Comparative Analysis of K-Means and Traversal Optimisation Algorithms
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    Chapter 28 Q-Routing Using Multiple QoS Metrics in SDN
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    Chapter 29 Creating a Hierarchical Fuzzy System to Assess Physical Activity Levels from Fitbit Data
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    Chapter 30 Improved SLAM Method Based on Dynamic Objects Detecting with the Fusion of Vision and Lidar
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    Chapter 31 Image Fusion for Remote Sizing of Hot High Quality Steel Sections
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    Chapter 32 Detecting and Tracking the Moving Vehicles Based on Deep Learning
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    Chapter 33 Fast Lane Detection Based on Improved Enet for Driverless Cars
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    Chapter 34 Fast and Accurate 3D Reconstruction of Plants Using MVSNet and Multi-View Images
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    Chapter 35 An Improved SLAM Based on the Fusion of Lidar and Monocular Vision
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    Chapter 36 Segmentation and Counting of Plant Organs Using Deep Learning and Multi-view Images
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    Chapter 37 Estimation of Event-Related Potentials from Single-Trial EEG
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    Chapter 38 Proposing a Three-Stage Model to Quantify Bradykinesia on a Symptom Severity Level Using Deep Learning
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    Chapter 39 Developing Prediction Models for Large for Gestational Age Infants Using Ethnically Diverse Data
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    Chapter 40 Assessing Significance of Cognitive Assessments for Diagnosing Alzheimer’s Disease with Fuzzy-Rough Feature Selection
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    Chapter 41 Towards Fuzzy Context-Aware Automatic Gait Assessments in Free-Living Environments
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    Chapter 42 ASD Children Adaption Behaviour Assessment via Hand Movement Properties: A RoadMap
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    Chapter 43 A Model-Based Reliability Analysis Method Using Bayesian Network
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    Chapter 44 Dealing with Uncertainty in Anomalous Audio Event Detection Using Fuzzy Modeling
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    Chapter 45 A Framework to Handle Uncertainties of Machine Learning Models in Compliance with ISO 26262
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    Chapter 46 Cloud-Agnostic and Lightweight Big Data Processing Platform in Multiple Clouds Using Docker Swarm and Terraform
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    Chapter 47 Defect Prediction on Production Line
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    Chapter 48 Driver Behaviour Modelling: Travel Prediction Using Probability Density Function
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    Chapter 49 Driver Behaviour Clustering Using Discrete PDFs and Modified Markov Algorithm
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    Chapter 50 Towards Autonomous Health Monitoring of Rails Using a FEA-ANN Based Approach