Artificial Intelligence Applications and Innovations

Table of Contents

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   Book Overview
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   Chapter 1 A Communication Data Layer for Distributed Neuromorphic Systems
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   Chapter 2 Brainstorming Fuzzy Cognitive Maps for Camera-Based Assistive Navigation
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   Chapter 3 Creating a Bridge Between Probabilities and Fuzzy Sets and Its Impact on Drought Severity Assessment
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   Chapter 4 SAF: A Peer to Peer IoT LoRa System for Smart Supply Chain in Agriculture
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   Chapter 5 A Multi-label Time Series Classification Approach for Non-intrusive Water End-Use Monitoring
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   Chapter 6 A Primer for tinyML Predictive Maintenance: Input and Model Optimisation
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   Chapter 7 Allocating Orders to Printing Machines for Defect Minimization: A Comparative Machine Learning Approach
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   Chapter 8 Bias in Face Image Classification Machine Learning Models: The Impact of Annotator’s Gender and Race
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    Chapter 9 Decision Tree Induction Through Meta-learning
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    Chapter 10 Hybrid (CPU/GPU) Exact Nearest Neighbors Search in High-Dimensional Spaces
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    Chapter 11 Machine Learning Approach to Detect Malicious Mobile Apps
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    Chapter 12 Prediction of Wafer Map Categories Using Wafer Acceptance Test Parameters in Semiconductor Manufacturing
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    Chapter 13 An Improved Neural Network Model for Treatment Effect Estimation
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    Chapter 14 An Industry 4.0 Intelligent Decision Support System for Analytical Laboratories
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    Chapter 15 Combining Cox Model and Tree-Based Algorithms to Boost Performance and Preserve Interpretability for Health Outcomes
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    Chapter 16 Distribution Guided Neural Disaggregation of PM 10 and O 3 Hourly Concentrations from Daily Statistics and Low-Cost Sensors
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    Chapter 17 Experimental Comparison of Metaheuristics for Feature Selection in Machine Learning in the Medical Context
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    Chapter 18 Exploring the Pertinence of Distance Functions for Nominal Multi-label Data
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    Chapter 19 Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect
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    Chapter 20 Machine Learning Applications in Real Estate: Critical Review of Recent Development
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    Chapter 21 Predictive Maintenance Based on Machine Learning Model
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    Chapter 22 Production Time Prediction for Contract Manufacturing Industries Using Automated Machine Learning
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    Chapter 23 A Multi-Objective Optimization Algorithm for Out-of-Home Advertising
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    Chapter 24 AutoMC: Learning Regular Expressions for Automated Management Change Event Extraction from News Articles
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    Chapter 25 How Dimensionality Reduction Affects Sentiment Analysis NLP Tasks: An Experimental Study
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    Chapter 26 Invention Concept Latent Spaces for Analogical Ideation
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    Chapter 27 Multilingual Sentiment Analysis on Twitter Data Towards Enhanced Policy Making
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    Chapter 28 On the Evaluation of the Plausibility and Faithfulness of Sentiment Analysis Explanations
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    Chapter 29 Sentiment Analysis on COVID-19 Twitter Data: A Sentiment Timeline
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    Chapter 30 Social Media Sentiment Analysis Related to COVID-19 Vaccines: Case Studies in English and Greek Language
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    Chapter 31 Comparing Boosting and Deep Learning Methods on Multivariate Time Series for Retail Demand Forecasting
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    Chapter 32 Equilibrium Resolution for Epoch Partitioning
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    Chapter 33 Topological Data Analysis of Time-Series as an Input Embedding for Deep Learning Models
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    Chapter 34 Transfer Learning for Predicting Gene Regulatory Effects of Chemicals
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    Chapter 35 Transfer Learning with Jukebox for Music Source Separation
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    Chapter 36 An Inductive System Monitoring Approach for GNSS Activation
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    Chapter 37 Client Segmentation of Mobile Payment Parking Data Using Machine Learning
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    Chapter 38 Determining Column Numbers in Résumés with Clustering
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    Chapter 39 High Rank Self-Organising Maps for Image Fingerprinting
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    Chapter 40 Implicit Maximum Likelihood Clustering
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    Chapter 41 Query Driven Data Subspace Mapping
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    Chapter 42 Correction to: Transfer Learning with Jukebox for Music Source Separation