Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference

Table of Contents

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   Book Overview
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   Chapter 1 A Compact Sequence Encoding Scheme for Online Human Activity Recognition in HRI Applications
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   Chapter 2 Classification of Coseismic Landslides Using Fuzzy and Machine Learning Techniques
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   Chapter 3 Evaluating the Transferability of Personalised Exercise Recognition Models
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   Chapter 4 Deep Learning-Based Computer Vision Application with Multiple Built-In Data Science-Oriented Capabilities
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   Chapter 5 Visual Movement Prediction for Stable Grasp Point Detection
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   Chapter 6 Accomplished Reliability Level for Seismic Structural Damage Prediction Using Artificial Neural Networks
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   Chapter 7 Efficient Implementation of a Self-sufficient Solar-Powered Real-Time Deep Learning-Based System
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   Chapter 8 Leveraging Radar Features to Improve Point Clouds Segmentation with Neural Networks
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    Chapter 9 LSTM Neural Network for Fine-Granularity Estimation on Baseline Load of Fast Demand Response
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    Chapter 10 Predicting Permeability Based on Core Analysis
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    Chapter 11 Probabilistic Estimation of Evaporated Water in Cooling Towers Using a Generative Adversarial Network
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    Chapter 12 Reconstructing Environmental Variables with Missing Field Data via End-to-End Machine Learning
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    Chapter 13 Semantic Segmentation Based on Convolution Neural Network for Steel Strip Position Estimation
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    Chapter 14 Towards a Digital Twin with Generative Adversarial Network Modelling of Machining Vibration
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    Chapter 15 $$\lambda $$ -DNNs and Their Implementation in Aerodynamic and Conjugate Heat Transfer Optimization
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    Chapter 16 Symbols in Engineering Drawings (SiED): An Imbalanced Dataset Benchmarked by Convolutional Neural Networks
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    Chapter 17 A Novel Spatial-Spectral Framework for the Classification of Hyperspectral Satellite Imagery
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    Chapter 18 Detection of Shocking Images as One-Class Classification Using Convolutional and Siamese Neural Networks
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    Chapter 19 Factors Affecting Accuracy of Convolutional Neural Network Using VGG-16
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    Chapter 20 Image Recoloring of Art Paintings for the Color Blind Guided by Semantic Segmentation
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    Chapter 21 Large-Scale Geospatial Data Analysis: Geographic Object-Based Scene Classification in Remote Sensing Images by GIS and Deep Residual Learning
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    Chapter 22 Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks
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    Chapter 23 Towards a Reliable Face Recognition System
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    Chapter 24 Automated Screening of Patients for Dietician Referral
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    Chapter 25 Drug2vec: A Drug Embedding Method with Drug-Drug Interaction as the Context
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    Chapter 26 Feature Selection with Artificial Bee Colony Algorithms for Classifying Parkinson’s Diseases
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    Chapter 27 Medical Knowledge-Based Deep Learning Framework for Disease Prediction on Unstructured Radiology Free-Text Reports Under Low Data Condition
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    Chapter 28 Multidataset Incremental Training for Optic Disc Segmentation
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    Chapter 29 On Image Prefiltering for Skin Lesion Characterization Utilizing Deep Transfer Learning
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    Chapter 30 Identification of Eyelid Basal Cell Carcinoma Using Artificial Neural Networks
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    Chapter 31 Application of Algorithmic Fuzzy Implications on Climatic Data
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    Chapter 32 Fuzzy Logic Application to Searchable Cryptography
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    Chapter 33 Personal Car Driver Black Box: A Wearable System for Data Log and Prediction Based on EVOS Paradigms
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    Chapter 34 Instance Weighted Clustering: Local Outlier Factor and K-Means
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    Chapter 35 Detecting Pattern Efficiently with Don’t Cares
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    Chapter 36 Eye Movement Data Analysis
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    Chapter 37 Computational Complexity of Kabsch and Quaternion Based Algorithms for Molecular Superimposition in Computational Chemistry
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    Chapter 38 Electronic Equivalent of Consciousness with Elementary Mental Process Model
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    Chapter 39 A Metalearning Study for Robust Nonlinear Regression
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    Chapter 40 An ASP-Based Approach for Phase Balancing in Power Electrical Systems
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    Chapter 41 A New Lyapunov Analysis of Robust Stability of Neural Networks with Discrete Time Delays
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    Chapter 42 Generalized Entropy Loss Function in Neural Network: Variable’s Importance and Sensitivity Analysis
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    Chapter 43 Robust Multilayer Perceptrons: Robust Loss Functions and Their Derivatives
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    Chapter 44 Stability Analysis of Neutral-Type Hopfield Neural Networks with Multiple Delays
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    Chapter 45 Reduction of Variables and Generation of Functions Through Nearest Neighbor Relations in Threshold Networks
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    Chapter 46 A Comparative Study on Bayesian Optimization
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    Chapter 47 A Genetic Programming Method for Scale-Invariant Texture Classification
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    Chapter 48 A Monetary Policy Strategy Based on Genetic Algorithms and Neural Networks