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Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices

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Cover of 'Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Question Generation Through Transfer Learning
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    Chapter 2 KIDER: Knowledge-Infused Document Embedding Representation for Text Categorization
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    Chapter 3 Discriminative Features Fusion with BERT for Social Sentiment Analysis
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    Chapter 4 Text Sentiment Transfer Methods by Using Sentence Keywords
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    Chapter 5 Path Planning of Mobile Robot Group Based on Neural Networks
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    Chapter 6 Push Recovery and Active Balancing for Inexpensive Humanoid Robots Using RL and DRL
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    Chapter 7 Optimal Control Problem of a Differential Drive Robot
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    Chapter 8 Optimal Trajectory Tracking Control for a UAV Based on Linearized Dynamic Error
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    Chapter 9 Non-linear Control of Aerial Manipulator Robots Based on Numerical Methods
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    Chapter 10 Non-linear 3D Visual Control for an Unmanned Aerial Vehicle
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    Chapter 11 Construction and Control Aerial Manipulator Robot
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    Chapter 12 ConMerge – Arbitration of Constraint-Based Knowledge Bases
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    Chapter 13 A Systematic Model to Model Transformation for Knowledge-Based Planning Generation Problems
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    Chapter 14 Mathematical Expression Retrieval in PDFs from the Web Using Mathematical Term Queries
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    Chapter 15 Automatic Identification of Account Sharing for Video Streaming Services
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    Chapter 16 A Model for Predicting Terrorist Network Lethality and Cohesiveness
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    Chapter 17 S2RSCS: An Efficient Scientific Submission Recommendation System for Computer Science
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    Chapter 18 Improved Grey Model by Dragonfly Algorithm for Chinese Tourism Demand Forecasting
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    Chapter 19 Variable Transformation to a $$2\times 2$$ Domain Space for Edge Matching Puzzles
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    Chapter 20 Using Deep Learning Techniques to Detect Rice Diseases from Images of Rice Fields
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    Chapter 21 Machine Learning for Water Supply Supervision
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    Chapter 22 An Enhanced Whale Optimization Algorithm for the Two-Dimensional Irregular Strip Packing Problem
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    Chapter 23 A Heuristic Approach to the Three Dimensional Strip Packing Problem Considering Practical Constraints
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    Chapter 24 A Heuristic for the Two-Dimensional Irregular Bin Packing Problem with Limited Rotations
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    Chapter 25 Faster R-CNN Based Fault Detection in Industrial Images
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    Chapter 26 Estimation of Cable Lines Insulating Materials Resource Using Multistage Neural Network Forecasting Method
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    Chapter 27 User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution
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    Chapter 28 Deep Learning for QoS-Aware Resource Allocation in Cognitive Radio Networks
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    Chapter 29 Self-understanding Support Tool Using Twitter Sentiment Analysis
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    Chapter 30 Integrating Crowdsourcing and Active Learning for Classification of Work-Life Events from Tweets
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    Chapter 31 Many-to-One Stable Matching for Prediction in Social Networks
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    Chapter 32 A Framework for Detecting User’s Psychological Tendencies on Twitter Based on Tweets Sentiment Analysis
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    Chapter 33 Automatic Fake News Detection by Exploiting User’s Assessments on Social Networks: A Case Study of Twitter
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    Chapter 34 Deep Reinforcement Learning for Foreign Exchange Trading
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    Chapter 35 Human-Centred Automated Reasoning for Regulatory Reporting via Knowledge-Driven Computing
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    Chapter 36 Security of Blockchain Distributed Ledger Consensus Mechanism in Context of the Sybil Attack
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    Chapter 37 Reinforcement Learning Based Real-Time Pricing in Open Cloud Markets
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    Chapter 38 A New Integer Linear Programming Formulation to the Inverse QSAR/QSPR for Acyclic Chemical Compounds Using Skeleton Trees
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    Chapter 39 Computing a Weighted Jaccard Index of Electronic Medical Record for Disease Prediction
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    Chapter 40 The Differential Feature Detection and the Clustering Analysis to Breast Cancers
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    Chapter 41 Left Ventricle Segmentation Using Scale-Independent Multi-Gate UNET in MRI Images
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    Chapter 42 Clustering-Based Data Reduction Approach to Speed up SVM in Classification and Regression Tasks
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    Chapter 43 AI for Health – Knowledge-Based Generation of Tailor-Made Exercise Plans
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    Chapter 44 A Multi-phase Iterative Approach for Anomaly Detection and Its Agnostic Evaluation
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    Chapter 45 On the Use of Answer Set Programming for Model-Based Diagnosis
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    Chapter 46 Consensus-Based Protocol for Distributed Exploration and Mapping
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    Chapter 47 A Real-Time Actor-Critic Architecture for Continuous Control
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    Chapter 48 Action-Based Programming with YAGI - An Update on Usability and Performance
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    Chapter 49 A New Approach to Determine 2-Optimality Consensus for Collectives
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    Chapter 50 A Decision Support System to Provide Criminal Pattern Based Suggestions to Travelers
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    Chapter 51 Model-Based Decision Support Systems - Conceptualization and General Architecture
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    Chapter 52 Driver License Field Detection Using Real-Time Deep Networks
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    Chapter 53 Calibration of a Microphone Array Based on a Probabilistic Model of Microphone Positions
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    Chapter 54 How to Handle Head Collisions in VR
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    Chapter 55 Generation of Musical Scores from Chord Sequences Using Neurodynamic Model
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    Chapter 56 Improving Variational Mode Decomposition-Based Signal Enhancement with the Use of Total Variation Denoising
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    Chapter 57 Colored Petri Net Modeling for Prediction Processes in Machine Learning
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    Chapter 58 Enriching the Semantics of Temporal Relations for Temporal Pattern Mining
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    Chapter 59 Integer Weighted Regression Tsetlin Machines
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    Chapter 60 Increasing the Inference and Learning Speed of Tsetlin Machines with Clause Indexing
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    Chapter 61 Constrained Evolutionary Piecemeal Training to Design Convolutional Neural Networks
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    Chapter 62 Hierarchical Learning of Primitives Using Neurodynamic Model
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    Chapter 63 Compressing and Interpreting SOM-Based Convolutional Neural Networks
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    Chapter 64 A Quality Assessment Tool for Koblenz Datasets Using Metrics-Driven Approach
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    Chapter 65 Applying Cluster-Based Zero-Shot Classifier to Data Imbalance Problems
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    Chapter 66 Determining Sufficient Volume of Data for Analysis with Statistical Framework
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    Chapter 67 A Fuzzy Crow Search Algorithm for Solving Data Clustering Problem
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    Chapter 68 Distributed Density Peak Clustering of Trajectory Data on Spark
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    Chapter 69 Parallel Mining of Partial Periodic Itemsets in Big Data
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    Chapter 70 A Fast Algorithm for Mining Closed Inter-transaction Patterns
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    Chapter 71 TKE: Mining Top-K Frequent Episodes
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    Chapter 72 TKU-CE: Cross-Entropy Method for Mining Top-K High Utility Itemsets
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    Chapter 73 Mining Cross-Level High Utility Itemsets
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    Chapter 74 Efficient Mining of Pareto-Front High Expected Utility Patterns
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    Chapter 75 Maintenance of Prelarge High Average-Utility Patterns in Incremental Databases
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    Chapter 76 Development and Research of a Terminal Controller for Marine Robots
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    Chapter 77 A Machine Learning Approach for Classifying Movement Styles Based on UHF-RFID Detections
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    Chapter 78 Process Decomposition and Test Selection for Distributed Fault Diagnosis
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    Chapter 79 Managing Situations with High Number of Elements in Group Decision Making
Overall attention for this book and its chapters
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Title
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices
Published by
Springer International Publishing, September 2020
DOI 10.1007/978-3-030-55789-8
ISBNs
978-3-03-055788-1, 978-3-03-055789-8
Editors

Fujita, Hamido, Fournier-Viger, Philippe, Ali, Moonis, Sasaki, Jun

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