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Recent Challenges in Intelligent Information and Database Systems

Overview of attention for book
Recent Challenges in Intelligent Information and Database Systems
Springer Nature Singapore

Table of Contents

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    Book Overview
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    Chapter 1 G-Fake: Tell Me How It is Shared and I Shall Tell You If It is Fake
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    Chapter 2 LDA+: An Extended LDA Model for Topic Hierarchy and Discovery
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    Chapter 3 Schema Formalism for Semantic Summary Based on Labeled Graph from Heterogeneous Data
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    Chapter 4 Individual Source Camera Identification with Convolutional Neural Networks
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    Chapter 5 Exploring the Effect of Vehicle Appearance and Motion for Natural Language-Based Vehicle Retrieval
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    Chapter 6 Shapley Additive Explanations for Text Classification and Sentiment Analysis of Internet Movie Database
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    Chapter 7 Explaining Predictive Scheduling in Cloud
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    Chapter 8 Exploring Word Embedding for Arabic Sentiment Analysis
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    Chapter 10 Data-Driven Resilient Supply Management Supported by Demand Forecasting
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    Chapter 11 Machine Learning-Based Recommender System for Tweeting Factory in Industry 5.0 Paradigm
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    Chapter 12 Automated Late Fusion of Low Level Descriptors for Feature Extraction and Texture Classification Using Data Augmentation
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    Chapter 13 Door-to-Door Sampling Service with Drone
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    Chapter 15 Supervised Learning Use to Acquire Knowledge from 2D Analytic Geometry Problems
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    Chapter 16 Forecasting Cryptocurrency Price Fluctuations with Granger Causality Analysis
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    Chapter 17 Using Brain-Computer Interface (BCI) and Artificial Intelligence for EEG Signal Analysis
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    Chapter 18 Predicting Metastasis-Free Survival Using Clinical Data in Non-small Cell Lung Cancer
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    Chapter 19 Impact of Design Decisions on Performance of Embarrassingly Parallel .NET Database Application
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    Chapter 20 Machine Learning to Diagnose Neurodegenerative Multiple Sclerosis Disease
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    Chapter 21 A Novel Integrating Approach Between Graph Neural Network and Complex Representation for Link Prediction in Knowledge Graph
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    Chapter 22 Expandable-Convolutional-Block Neural Inference with Spatial-Fused Multi-resolution Features and Terse Convolution for IoT-Based Intelligent Automated Systems
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    Chapter 23 Traffic Management in Smart City
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    Chapter 24 Identifying Non-intuitive Relationships Within Returns Data of a Furniture Online-Shop Using Temporal Data Mining
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    Chapter 25 DACE: Did I Catch You at a Good Time?
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    Chapter 26 Analysis of Dynamics of Emergence and Decline of Scientific Ideas Based on Optimistic and Pessimistic Fuzzy Aggregation Norms
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    Chapter 27 Fusing Deep Learning with Support Vector Machines to Detect COVID-19 in X-Ray Images
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    Chapter 28 Image-Based Contextual Pill Recognition with Medical Knowledge Graph Assistance
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    Chapter 29 A Legal Information Retrieval System for Statute Law
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    Chapter 31 P-FCloHUS: A Parallel Approach for Mining Frequent Closed High-Utility Sequences on Multi-core Processors
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    Chapter 32 dMITP-Miner: An Efficient Method for Mining Maximal Inter-transaction Patterns
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    Chapter 33 ITCareerBot: A Personalized Career Counselling Chatbot
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    Chapter 34 Scheduling Parallel Data Transfers in Multi-tiered Persistent Storage
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    Chapter 35 Fine-Tuning OCR Error Detection and Correction in a Polish Corpus of Scientific Abstracts
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    Chapter 36 A Multi-label Classification Framework Using the Covering Based Decision Table
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    Chapter 37 En-SeqGAN: An Efficient Sequence Generation Model for Deceiving URL Classifiers
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    Chapter 38 Towards Communication-Efficient Distributed Background Subtraction
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    Chapter 39 Critical Factors of Customers Loyalty in E-Commerce
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    Chapter 40 An Efficient Multi-view Facial Expression Classifier Implementing on Edge Device
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    Chapter 41 Keyword Extraction from Short Texts with a Text-to-Text Transfer Transformer
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    Chapter 42 Development Kazakh-Turkish Machine Translation on the Base of Complete Set of Endings Model
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    Chapter 43 Gated 3D-CNN for Action Recognition
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    Chapter 44 A Minimal Model of Cancer Growth, Metastasis and Treatment
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    Chapter 45 Utility Driven Job Selection Problem on Road Networks
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    Chapter 46 The Problem of Detecting Boxers in the Boxing Ring
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    Chapter 47 Risk Assessment of Acute Kidney Disease and Chronic Kidney Disease for In-Hospital Patients with Acute Kidney Injury
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    Chapter 48 Music Emotion Recognition Based on Term Frequency and Pattern Entropy
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    Chapter 49 Hybrid Boustrophedon and Partition Tree Group Algorithm for Coverage Path Planning Problem with Energy Constraints
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    Chapter 50 Predictive Modelling of Diseases Based on a Network and Machine Learning Approach
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    Chapter 51 DeepDream Algorithm for Data Augmentation in a Neural Network Ensemble Applied to Multiclass Image Classification
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    Chapter 52 Auto Machine Learning-Based Approach for Source Printer Identification
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    Chapter 53 EfficientRec: An Unlimited User Scale Recommendation System Based on Clustering and User’s Interaction Embedding Profile
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    Chapter 54 Agent Based Model of Elementary School Group Learning
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    Chapter 55 Clinically-relevant Summarisation of Cataract Surgery Videos Using Deep Learning
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    Chapter 56 An Empirical Comparison of Steganography and Steganalysis Solutions
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    Chapter 57 Cost-Oriented Candidate Screening Using Machine Learning Algorithms
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    Chapter 58 Design of IoT Based Patient Health Monitoring System
Overall attention for this book and its chapters
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Title
Recent Challenges in Intelligent Information and Database Systems
Published by
Springer Nature Singapore, January 2022
DOI 10.1007/978-981-19-8234-7
ISBNs
978-9-81-198233-0, 978-9-81-198234-7
Editors

Edward Szczerbicki, Krystian Wojtkiewicz, Sinh Van Nguyen, Marcin Pietranik, Marek Krótkiewicz

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