Advances in Computational Intelligence

Table of Contents

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   Book Overview
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   Chapter 1 Energy Complexity of Fully-Connected Layers
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   Chapter 2 Low-Dimensional Space Modeling-Based Differential Evolution: A Scalability Perspective on  bbob-largescale suite
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   Chapter 3 Fair Empirical Risk Minimization Revised
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   Chapter 4 Scalable Convolutional Neural Networks for Decoding of Terminated Convolutional Codes
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   Chapter 5 Optimizing an IDS (Intrusion Detection System) by Means of Advanced Metaheuristics
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   Chapter 6 Iterative Graph Embedding and Clustering
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   Chapter 7 Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification
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   Chapter 8 Extending Drift Detection Methods to Identify When Exactly the Change Happened
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    Chapter 9 Pedestrian Multi-object Tracking Algorithm Based on Attention Feature Fusion
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    Chapter 10 Fairness-Enhancing Ensemble Classification in Water Distribution Networks
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    Chapter 11 Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation
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    Chapter 12 Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure
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    Chapter 13 Unsupervised Topic Modeling with BERTopic for Coarse and Fine-Grained News Classification
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    Chapter 14 Double Transfer Learning to Detect Lithium-Ion Batteries on X-Ray Images
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    Chapter 15 MLFEN: Multi-scale Long-Distance Feature Extraction Network
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    Chapter 16 Comparison of Fourier Bases and Asymmetric Network Bases in the Bio-Inspired Networks
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    Chapter 17 Temporal Dynamics of Drowsiness Detection Using LSTM-Based Models
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    Chapter 18 Fine-Tuned SqueezeNet Lightweight Model for Classifying Surface Defects in Hot-Rolled Steel
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    Chapter 19 Shot Boundary Detection with Augmented Annotations
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    Chapter 20 3D Human Body Models: Parametric and Generative Methods Review
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    Chapter 21 Deep Learning Recommendation System for Stock Market Investments
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    Chapter 22 Minimal Optimal Region Generation for Enhanced Object Detection in Aerial Images Using Super-Resolution and Convolutional Neural Networks
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    Chapter 23 Long-Term Hail Risk Assessment with Deep Neural Networks
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    Chapter 24 Video Scene Segmentation Based on Triplet Loss Ranking
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    Chapter 25 A Model for Classifying Emergency Events Based on Social Media Multimodal Data
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    Chapter 26 A Performance Evaluation of Lightweight Deep Learning Approaches for Bird Recognition
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    Chapter 27 Classification of Subjectively Evaluated Images with Self-Enforcing Networks Using Reference Types, and a Cue Validity Factor
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    Chapter 28 Advanced Home-Based Diabetes Monitoring System: Initial Real-World Experiences
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    Chapter 29 On Comparing Early and Late Fusion Methods
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    Chapter 30 A Scalable Binary Neural Associative Memory on FPGA
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    Chapter 31 STANN – Synthesis Templates for Artificial Neural Network Inference and Training
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    Chapter 32 Digit Recognition Using Spiking Neural Networks on FPGA
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    Chapter 33 Brain Tumor Segmentation Using Ensemble Deep Neural Networks with MRI Images
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    Chapter 34 Denoising Low-Dose CT Images Using Noise2Noise and Evaluation of Hyperparameters
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    Chapter 35 SIA-SMOTE: A SMOTE-Based Oversampling Method with Better Interpolation on High-Dimensional Data by Using a Siamese Network
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    Chapter 36 On the Use of First and Second Derivative Approximations for Biometric Online Signature Recognition
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    Chapter 37 A Deep Transfer Learning Approach to Support Opportunistic Wearable Activity Recognition
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    Chapter 38 Random Ensemble of Extended CNN Structures for Medical Image Recognition
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    Chapter 39 Bioinspired Reinforcement Learning Control for a Biomimetic Artificial Muscle Pair
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    Chapter 40 Energy-Aware KNN for EEG Classification: A Case Study in Heterogeneous Platforms
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    Chapter 41 A Deep Neural Network for G-Quadruplexes Binding Proteins Classification
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    Chapter 42 Identification of Benign Tumor Masses Using Deep Learning Techniques Based on Semantic Segmentation
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    Chapter 43 A Generalized Deep Learning Model for Multi-disease Chest X-Ray Diagnostics
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    Chapter 44 Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure
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    Chapter 45 Prediction of Blood Glucose Levels in Patients with Type 1 Diabetes via LSTM Neural Networks
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    Chapter 46 Photovoltaic Energy Prediction Using Machine Learning Techniques
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    Chapter 47 Analysis of the Effect of the Time Interval Between Samples on the Solar Forecasting
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    Chapter 48 Time Series Classification of Electroencephalography Data
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    Chapter 49 Acid Sulfate Soils Classification and Prediction from Environmental Covariates Using Extreme Learning Machines
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    Chapter 50 Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals
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    Chapter 51 Deep Learning for the Analysis of Solar Radiation Prediction with Different Time Horizons and Data Acquisition Frequencies
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    Chapter 52 Random Forests Model for HVAC System Fault Detection in Hotel Buildings
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    Chapter 53 Time Series Forecasting with Quantum Neural Networks
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    Chapter 54 Intra- and All-Day PV Power Forecasting Using Expansion PDE Models Composed of the L-Transform Components in Nodes of Step-by-Step Evolved Polynomial Binary-Nets
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    Chapter 55 Ensemble of Randomized Neural Networks with STD Decomposition for Forecasting Time Series with Complex Seasonality