Advances in Intelligent Information Hiding and Multimedia Signal Processing

Name: Advances in Intelligent Information Hiding and Multimedia Signal Processing | Proceeding of the 16th International Conference on IIHMSP in conjunction with the 13th international conference on FITAT, November 5-7, 2020, Ho Chi Minh City, Vietnam, Volume 2
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Proceeding of the 16th International Conference on IIHMSP in conjunction with the 13th international conference on FITAT, November 5-7, 2020, Ho Chi Minh City, Vietnam, Volume 2

Jeng-Shyang Pan Jianpo Li Keun Ho Ryu Zhenyu Meng Aleksandra Klasnja-Milicevic(Editor)

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Published on 20. April 2021

XX, 525 pages

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978-981-336-757-9 (ISBN)

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Jeng-Shyang Pan received the B.S. degree in Electronic Engineering from the National Taiwan University of Science and Technology, in 1986, the M.S. degree in Communication Engineering from National Chiao Tung University, Taiwan, in 1988, and the Ph.D. degree in Electrical Engineering from the University of Edinburgh, UK, in 1996. He is currently the Professor in Shandong University of Science and Technology. He joined the Editorial Board of Journal of Network Intelligence, the Journal of Computers, and the Chinese Journal of Electronics. His current research interests include soft computing, information security, and signal processing.

Jianpo Li received his B.S., M.S., and Ph.D. from the Department of Communication Engineering, Jilin University, China, in 2002, 2005, and 2008, respectively. In 2008, he joined the School of Information Engineering, Northeast Electric Power University (NEEPU). He was Visiting Scholar with New York University in 2013 and the Universityof Ottawa in 2016. Now, he is Full Professor and Vice-Dean of the School of Computer Science, NEEPU. He has published more than 70 research papers and has 16 patents. His research interests focus on wireless sensor networks, intelligent signal processing, 5G, and wireless power transmission.

Keun Ho Ryu, Ph.D., (LM, IEEE), is currently serving in Chungbuk National University, South Korea, Faculty of Information Technology of Ton Duc Thang University, Vietnam, and Chiang Mai University, Thailand. He is also the Director of the Database and Bioinformatics Lab., South Korea and the Data Science Lab., Vietnam, since 2020. He has published over 1000 referred technical articles. He has been Member of the IEEE and ACM, since 1982 and 1983, respectively. He has served on numerous program committees, including roles as the Demo Co-Chair of the VLDB, the FITAT General Co-Chair, and so on. He founded the FITAT International group for providing a professional community the opportunities forpublications, knowledge exchange, and cooperation.

Zhenyu Meng received the B.S., M.Phil., and Ph.D. Degrees in Computer Science from Shandong Normal University, Harbin Institute of Technology Shenzhen Graduate School, Harbin Institute of Technology Shenzhen in 2008, 2011, and 2018, respectively. Currently, he is Director of the Institute of Artificial Intelligence, Fujian University of Technology, and Professor in Fujian Key Provincial Key Laboratory of Data Mining and Application, Fujian University of Technology. He also serves as Reviewer of several JCR Q1 SCI journals such as IEEE T EC, IEEE T CYB., INF. SCI., KBS, ASOC, SWEVO, ESWA, IEEE Access, EAAI, and several Chinese SCI journals. His research interest includes evolutionary computation and vehicle navigation.

Aleksandra Klasnja-Milicevic holds the position of Associate Professor at the Faculty of Sciences, University of Novi Sad, Serbia. She joined the graduate program in Computer Sciences at Facultyof Sciences, Department of Mathematics and Informatics, the University of Novi Sad in 2003, where she received her M.Sc. degree (2007) and Ph.D. degree (2013). Her research interests include intelligent systems, e-learning and personalization, educational technology, learning analytics, and recommender systems. She has also served as a PC Member of several international conferences. She co-authored one university textbook, one monograph, and more than 30 research papers, most of which are published in international journals and conferences.

Content

Intro
Conference Organization
Preface
Contents
About the Editors
Design of Wideband Microstrip Helical VHF/UHF Antenna for Naval Ships Application
1 Introduction
2 Methodology for the Design
2.1 Selection of Antenna Shape
2.2 Selection of Feeding Type
2.3 Selection of Dielectric Substrate
2.4 Selection of Software for Design and Simulation
3 Design Architecture
3.1 Design Dimensions
3.2 Application
4 Simulation Results/Analysis
5 Conclusion
References
Research on Control Strategy of Four-Leg Inverter Under Unbalanced and Nonlinear Load
1 Introduction
2 Mathematical Model of Three-Phase Four-Leg Inverter
3 Repeated Controller Design
4 Integrated Control Design
5 Simulation Verification and Analysis
6 Conclusion
References
A Comparative Study on Interaction Design of Social Function in Music Application
1 Introduction
2 Related Work
2.1 Mobile Music App
2.2 The State of Art of Social Function of Mobile Music App
2.3 User Experience and Usability Evaluation
3 Experiment Design
3.1 Method
4 Results
4.1 Analysis of the Testing Results
5 Conclusion
References
Reconstruction Error-Based Efficient Deep Neural Network for Diabetes Prediction in the Korean Population
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 Proposed Method
2.3 Evaluation Methods
3 Experimental Study
4 Conclusion
References
Improved Cancer Classification with Supervised Variational Autoencoder on DNA Methylation Data
1 Introduction
2 Supervised Variational Autoencoder for Cancer Classification
2.1 Unsupervised Variational Autoencoder
2.2 Supervised Neural Network
3 Experimental Result
4 Conclusion
References
Cost-Sensitive Neural Network for Prediction of Hypertension Using Class Imbalance Dataset
1 Introduction
2 Experimental Framework
2.1 Weighted Random Forest-Based Feature Selection
3 Cost-Sensitive Neural Network
3.1 Performance Measurements
4 Experimental Results
4.1 Dataset Generation and Weighted Random Forest Feature Importance
4.2 Evaluation Results
5 Conclusion and Future Work
References
Bayesian Meta Regression
1 Introduction
2 Related Work
3 Bayesian Meta Regression
3.1 Training BMR
4 Experimental Results
4.1 Predictive Performance
4.2 Model Uncertainty
5 Conclusion
References
Chromatographic Peaks of Dissolved Gases in Transformer Oil Identification by Random Forest
1 Introduction
2 Preliminaries
2.1 Random Forest Algorithm
2.2 Chromatography of Dissolved Gas
3 Process of Chromatographic Peaks Identification
3.1 Data Preprocessing
3.2 Classifier Design
4 Illustrative Example
5 Conclusions
References
Detection of Point Outliers in Meteorological Data (Case Study: Ulaanbaatar, Mongolia)
1 Introduction
1.1 Meteorological Data
2 Methods
3 Results
4 Conclusion
References
Short-Term Power Prediction for Photovoltaic Power Generation Based on IKPCA and PSO-BPNN
1 Introduction
2 Algorithm Principle
2.1 Kernel Principal Component Analysis
2.2 Particle Swarm Optimization
2.3 BP Neural Network
3 Feature Processing
4 Prediction Model
5 Example Analysis
5.1 Forecast Examples
5.2 Error Analysis
6 Conclusion
References
Research on Principal Component Feature Extraction Method Based on Improved Pearson Correlation Coefficient Analysis
1 Introduction
2 Correlation Analysis of Influencing Factors
2.1 Pearson Correlation Coefficient Principle
2.2 Improved Pearson Correlation Coefficient
3 Principal Component Analysis
4 Experiment Analysis
4.1 Correlation Analysis of the Improved Pearson Correlation Coefficient
4.2 Feature Extraction Based on Principal Component Analysis
5 Conclusion
References
The Adaptive Compression System for Historical Data of Power Load
1 Introduction
2 Adaptive Compression Algorithm
3 Abnormal Data Correction
4 Adaptive Compression System
5 Experimental Analysis
6 Conclusion
References
Mongolian Spelling Error Correction Using Word NGram Method
1 Introduction
2 Proposed Method
3 How the Program Works
4 Experiments
5 Conclusion
References
Forecasting of the COVID-19 Spreading in Global Using the Exponential Smoothing Method
1 Introduction
2 Methodology
3 Datasets
4 Results and Analysis
5 Conclusions
References
Mongolian Part-of-Speech Tagging with Neural Networks
1 Introduction
2 Tagset Design
3 Method
3.1 Dataset
3.2 Feature Selection
3.3 Neural Model Architecture
4 Result
5 Conclusion
References
A Comparative Study of NoSQL and Relational Database
1 Database Solutions
2 Relational Database
2.1 The Cap Theorem
2.2 The ACID Properties
2.3 The BASE Properties
3 NoSQL Darabase Requirements
3.1 From Vertical Expansion to Horizontal Expansion
3.2 Classification of NoSql Databases
4 Comparision Between Related Databases (RDBMS) and NoSQL Databases
4.1 Comparision of MongoDB and MySQL Full-Text Research
5 Conclusion
References
Methodology in Securities Portfolio Selection from the Stock Exchange Listed Companies
1 Introduction
2 Material and Methods
2.1 Literature Review
2.2 Research Methodology
3 Results
4 Conclusion
References
Predicting Grade of General Entrance Exam Using Machine Learning Techniques
1 Introduction
2 Related Work
2.1 Important Factors for Prediction Student's Performance
2.2 Machine Learning Methods
3 Data and Methodology
3.1 Data Collection
3.2 Methodology
4 Analysis and Result
4.1 Results in Feature Selection Experiments
4.2 Experiments
5 Conclusion
References
Predicting the Occurrence of Major Adverse Cardiac Events in Patients with Acute Coronary Syndrome Using Synthetic Minority Oversampling Technique and Machine Learning Approach
1 Introduction
2 Research Methods and Material
2.1 Experimental Framework
2.2 Data Extraction and Data Preprocessing
2.3 Dealing with Imbalanced Dataset
2.4 Statistical Analysis and Implementation Environments
2.5 Applied Machine Learning Algorithms
2.6 Performance Evaluation
3 Experimental Results and Discussion
3.1 Basic Characteristics
3.2 Experimental Results
3.3 Discussion
4 Conclusion
References
Process Analysis of the Online Course Development
1 Introduction
2 Research Methodology
3 Process Definition
4 Process Analysis
5 Conclusion
References
Comparison of Classification Analysis Using LASSO and Principal Component Analysis for Kidney Cancer
1 Introduction
2 Materials and Methods
2.1 Materials
2.2 Methods
3 Experimental Results
3.1 Feature Selection by LASSO and PCA
3.2 Classification Analysis Using Data Mining Method
4 Conclusions
References
A New Optimization Based on Parallelizing Hybrid PSOGSA Algorithm
1 Introduction
2 Three Standard Algorithms
3 Parallel PSOGSA
4 Experimental Data
5 Conclusion
References
Research on Natural Gas Customer Evaluation Model and System
1 Introduction
2 Related Work
3 Methodology
3.1 Data Status
3.2 Theory and Method
4 Computer Support System for Customer Evaluation (CSSCE)
4.1 System Design
4.2 Data Description
4.3 Analysis Results of CSSCE
References
Chromatographic Peak Identification Based on Bayesian Classification Model
1 Introduction
2 Chromatographic Data Processing
2.1 Characteristic Parameters Selection
2.2 Identification Model Construction
3 Training of Identification Model
4 Example Test Result and Analysis
5 Conclusion
References
Analysis and Diagnosis of Generator Step-Up Transformer Faults
1 Introduction
2 Case 1: A 220 kV Substation I# Generator Step-Up Transformer
2.1 Diagnosis and Results
2.2 Failures Analysis
3 Case 2: No. 2 Generator Step-Up Transformer of a 110 kV Substation
3.1 Disassembly Analysis
3.2 Failures Judgment
4 Conclusions and Suggestions
References
Design of Architecture for Carpooling Based on Flexible Pickup and Delivery Locations
1 Introduction
2 Conceptual Framework
3 System Architecture
3.1 Web Application Firewall (WAF)
3.2 Load Balancer (LB)
3.3 Data Transformation
3.4 AI and Data Science Processing Modules Using Hadoop Ecosystem
3.5 Data Warehousing, ETL (Extract, Transform, Load) and Reporting
3.6 Datacenter
4 Conclusion and Future Research
References
Enhanced Conditional Handover for 5G Heterogeneous Networks
1 Introduction
2 CHO Procedure and Its Problems
3 An Enhancement for CHO
4 Simulation Results
4.1 Ping-Pong Handovers
4.2 Signaling Cost
5 Conclusion and Future Works
References
Evaluation of Panoramic Image Projection for "Ulaanbaatar GigaPixel Panaroma"
1 Introduction
2 Related Work
2.1 Studying 360 Image Projection Formats Geometry
2.2 Mapping from 2D to 3D
3 Proposed Evaluation Framework
3.1 Visualizing Gigapixel Image Using Proposed Projection Method
3.2 Comparison of Viewport Images
3.3 Evaluate with Viewport Application
4 Results
4.1 Experimental Setup
4.2 Result
5 Conclusion
References
Distant Metastases in Patients with Primary Uveal Melanoma
1 Introduction
2 Materials and Methods
2.1 Data Source of the Cohort
2.2 Statistical Analysis
3 Results
3.1 Risk Factors for DM Development
3.2 Survival Outcome and Prognostic Factors for Patients with DM
4 Discussion
References
Enhancing Higher Education Quality Assurance Using Survey-Based Decision Support Framework
1 Introduction
2 Quality Management System
2.1 As Is a System for Conduct Stakeholder Satisfaction of NUM
3 Survey-Based Decision Support Framework for NUM
4 Discussion and Future Work
References
Design of Modified Booth Multiplier Based on Field Programmable Gate Array
1 Introduction
2 Design of Modified Booth Multiplier
3 Encoder
4 Partial Product Generator
5 2'S Complement
6 Wallace Tree Adder
7 Simulation Result
8 Conclusion
References
OrdinalEncoder and PCA based NB Classification for Leaked Natural Gas Prediction Using IoT based Remote Monitoring System
1 Introduction
2 Methodology
2.1 OrdinalEncoder Normalization
2.2 Proposed Methods
2.3 Evaluation Metrics
3 Experimental Results
4 Conclusion
References
A Solution to Sensor Node Localization Using Glow-Worm Swarm Optimization Hybridizing Positioning Model
1 Introduction
2 Related Work
3 Glow-Worms Swarm Optimization
4 The GSO for Node Localization
4.1 Objective Function
4.2 Correcting Position Factor
5 Experimental Results
6 Conclusion
References
A Detection for Positioning Sensor Node Based on Multilayer Perceptron
1 Introduction
2 Related Work
3 Proposed Scheme
3.1 The Positioning Algorithm
3.2 Nearest Neighbor Technique
4 Experimental Results
5 Conclusion
References
Pork Price Prediction Using Topic Modeling and Feature Scoring Method
1 Introduction
2 Methodology
2.1 Feature Extraction
2.2 Feature Scoring
2.3 Feature Selection
2.4 Price Prediction
3 Performance Evaluation
3.1 Experimental Setup
3.2 Experimental Results
4 Conclusion
References
Feasibility Study of Outlier Detection in Smart Manufacturing Applications
1 Introduction
2 Related Study
3 Datasets and Methods
3.1 Dataset
3.2 Methods
4 Experiment Results
4.1 Experimental Environment
4.2 Results
5 Discussions
References
Multi-time Scale Features for Anomaly Detection from Surveillance Videos
1 Introduction
2 Methodology
2.1 Small-Size Crime Dataset
2.2 Multi-Time Scale Feature Extraction
3 Performance Evaluation
3.1 Experimental Setup
3.2 Experimental Results
4 Conclusion
References
A New Feature Selection and Classification Approach for Optimizing Breast Cancer Subtyping Based on Gene Expression
1 Introduction
2 Method
2.1 Feature Selection
2.2 Classification
2.3 Prognosis Subtype
2.4 Bio-Marker Ranking
3 Experimental Results
3.1 Materials
3.2 Prognosis Accuracy
3.3 Causative Disease Genes
4 Conclusions
References
Emotionally-Aware Sequence-to-Sequence Models for Conversational Systems
1 Introduction
2 Related Work
3 Problem Definition
3.1 Baseline Model
3.2 Emotion-Based Model
4 Proposed Model
4.1 Encoding Emotional Information
4.2 Integrating Emotion into Sequence-to-Sequence Model
4.3 Building Emotion Classifier
5 Experiment
5.1 Dataset
5.2 Results
6 Conclusion
References
A Hybrid Model for Recommendation Systems
1 Introduction
2 Related Work
3 The Proposed Model
3.1 Basic Models
3.2 The Proposed Model
4 Experiments
5 Conclusion
References
Exploring Subword Segmentation Methods in English-Vietnamese Neural Machine Translation
1 Introduction
2 Background and Related Work
3 Subword Methods
4 Experiments
4.1 Setup
4.2 Results and Analyses
5 Conclusion
References
A Power Balance Control Strategy of Wireless Sensor Network with Collaborating Heuristic
1 Introduction
2 Related Work
3 WSN Energy Control Strategy with Collaborating Heuristic
4 Experimental Result and Simulation Analysis
5 Conclusions
References
An Optimizing Multilevel Thresholding for Image Segmentation Based on Hybrid Swarm Computation Optimization
1 Introduction
2 Hybrid Particle Swarm and Gravitational Search (PSGA)
2.1 Standard Particle Swarm Optimization Algorithm
2.2 Standard Gravity Search Algorithm(GSA)
2.3 Hybrid Particle Swarm and Gravitational Search
3 Optimizing Multi-threshold for Image Segmentation by PSGA
3.1 Generalized Inverse Learning Strategy
3.2 The Mutation Strategy of the Optimal Solution
3.3 Threshold Image Segmentation
4 Experimental Results and Analysis
5 Conclusions
References
An Optimizing Parameters and Feature Selection in SVM Based on Improved Cockroach Swarm Optimization
1 Introduction
2 Improved Cockroach Swarms Optimization
3 Proposed Classifier System Design
3.1 Data Preprocessing with Relief
3.2 Optimizing SVM Parameters with ICSO
4 Experimental Results
5 Conclusions
References
Evaluating the Deep Convolutional Neural Network for Thyroid Nodule Detection on Vietnamese Ultrasound Dataset
1 Introduction
2 Materials and Evaluation Protocol
3 Thyroid Tumor Detection Methods
3.1 Optimization Based on Radiologist and Clinical Knowledge
4 Experiment
4.1 Dataset
4.2 Experiments Setup
4.3 Evaluation Metrics
4.4 Results
5 Conclusion and Future Work
References
Automobile Parts Localization Using Multi-layer Multi-model Images Classifier Ensemble
1 Introduction
2 Multi-layer Multi-model Images Classifier Ensemble (MICE) Overview
3 Experiment
4 Conclusion
References
A Survey on Transfer Learning for COVID-19 Medical Imaging Diagnosis
1 Introduction
2 Method
2.1 Dataset of COVID-19
2.2 Pre-trained Convolutional Neural Networks
2.3 Training, Hyper-Parameters and Data Augmentation
3 Experimental Analysis and Discussion
4 Conclusion
References
Evaluation of UWB-Based Indoor Positioning in Smart Factory Environment
1 Introduction
2 Application Environment for Material Handling
2.1 Application Scenario
2.2 Testbed Configuration
3 Evaluation of UWB-Based Positioning
3.1 Experimental Setup
4 Conclusion
References
Exploring Neural Machine Translation on the Russian-Vietnamese Language Pair
1 Introduction
2 Neural Machine Translation Models
2.1 Recurrent Model
2.2 Convolutional Model
2.3 Transformer Model
3 Experiments
3.1 Experiment Corpus
3.2 Experiment Setup
3.3 Experiment Results and Analysis
4 Conclusions and Perspectives
References
Attention-Based Deep Neural Network for Coronary Heart Disease Risk Prediction
1 Introduction
2 Methodology
2.1 Attention-Based DNN for CHD Risk Prediction
2.2 Evaluation Methods
3 Experimental Study and Result
3.1 Experimental Dataset
3.2 Comparison of the CHD Prediction Models
4 Conclusions
References
Adaptive Softmax Regression for Credit Scoring
1 Introduction
2 Proposed Approach
2.1 Softmax Regression
2.2 Multilayer Perceptron
2.3 Adaptive Softmax Regression
3 Experimental Results
3.1 Datasets and Experimental Setup
3.2 Prediction Results and Comparison
4 Conclusion
References
Shared Representation with Multi-omics Distributed Latent Spaces for Cancer Subtype Classification
1 Introduction
2 Proposed Method
2.1 Unsupervised Variational Autoencoder
2.2 Supervised Neural Network
3 Experimental Results
3.1 Dataset
3.2 Visualization of Representations
3.3 Performance Comparison
4 Conclusion
References
Local Interpretable Model-Agnostic Explanations of Predictive Models for Hypertension
1 Introduction
2 Experimental Framework
3 Experimental Results
3.1 Dataset and Feature Selection
3.2 Prediction Analysis
3.3 LIME Analysis
4 Conclusion and Future Work
References
A Solution to Text Hiding in Media with Hybrid Gravity Search Algorithm and Transposition Scheme
1 Introduction
2 Gravity Search Algorithm (GSA)
3 A Solution to Conceal Text Messages
3.1 Objective Function
3.2 The System Design
4 Experimental Results
5 Conclusion
References
Image Denoising Using a Conditional Generative Adversarial Network with Residual Dense Blocks
1 Introduction
2 Method
2.1 Overall Architecture
2.2 Residual Dense Block (RDB)
2.3 Loss Function
3 Experiment and Discussion
3.1 Database
3.2 Model Settings and Training Parameters
3.3 Experimental and Discussion
4 Conclusion
References
An Adaptive Multimeme Memetic Algorithm for the VLSI Standard Cell Placement Problem
1 Introduction
2 Problem Description
3 Adaptive Multimeme Memetic Algorithm
3.1 Adaptive Strategy for Population Diversity
3.2 Global Search with Adaptive Multimeme Crossover
3.3 Local Search with Adaptive Window or Net Multimeme
3.4 AMMA Framework
4 Qualitative Analysis on the AMMA
4.1 Overall Effectiveness of the AMMA
4.2 Respective Effect of the Main Adaptive Strategies
5 Conclusion
References
Optimal Design of Work Quantification System
1 Introduction
2 General Design Thought for the System
2.1 Structure of University Faculty Workload
2.2 Environmental and Technical Architecture
2.3 Main Issues to Be Solved in Optimized System Design
3 Specific Design Process
3.1 Framework Design of System Quantitative Calculation
3.2 Dynamic Editing of Rules
3.3 Information Input and Scoring for Multi-person Shared Achievement
3.4 Data Maintenance of Quantitative Results
4 Summary and Prospect
References
Toward a New Human Action Recognition Framework: Applying Deep Belief Networks to 3D Skeleton Sequences
1 Introduction
2 Related Work
3 Proposed Framework
3.1 Spatiotemporal Feature Descriptors
3.2 Fixed Length of Global Descriptors
3.3 Deep Belief Networks
4 Experiment
4.1 Experiment Results and Analysis
4.2 Feature Fusion
5 Conclusion
References
A Network Attack Detection Model of Smart Grid Based on XGBoost Algorithm
1 Introduction
2 A Network Attack Detection Model of Smart Grid Based on XGBoost
2.1 K-Means-Oversampling Method
2.2 MRMR Feature Selection Method
2.3 Network Attack Detection Model Based on XGBoost
3 Experiment and Analysis
3.1 Experimental Environment
3.2 Attack Detection Performance Test
4 Conclusion
References
Theme-Based Literature Analysis in the Field of Transportation
1 Introduction
2 Method Based on Topic Analysis
2.1 Data
2.2 Theme Analysis
3 Results and Analysis
3.1 Overview of the Overall Theme
3.2 Distribution of Research Topics Based on Journals
3.3 Distribution of Themes Based on Country
4 Conclusion
References
Student Behavior Recognition in Remote Video Classrooms
1 Introduction
2 Related Work
3 Data Source and Algorithm Design
3.1 Data Source
3.2 Model Structure
4 Algorithm Testing and Analysis
4.1 Detecting Student's Body Area
4.2 Motion Feature Capture and Classification
5 Conclusion
References
Simulation Analysis of Optimized Configuration of Distributed Power
1 Introduction
2 Optimized Configuration Model of Distributed Power
2.1 Objective Function
2.2 Constraints
3 Improved Hybrid Particle Swarm Optimization
3.1 Genetic Algorithm Optimization Mechanism
3.2 Optimization Mechanism of Standard Particle Swarm Algorithm
3.3 Improved GAPSO Algorithm by Combining GA Algorithm and PSO Algorithm
4 Analysis of Examples
4.1 Effect Comparison
4.2 Algorithm Performance Comparison
5 Conclusion
References
An Efficient Tool for Semantic Biomedical Document Analysis
1 Introduction
2 Methodology for Semantic Biomedical Text Analysis
2.1 Biomedical Text Data and Ontology Information Collection
2.2 Biomedical Text Semantic Similarity Calculation
3 Biomedical Text Clustering
4 Software Description
4.1 Relationship Mining and Knowledge Graph Visualization
4.2 Medical Document Semantic Analysis
5 Benchmark
6 Conclusion
References
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Advances in Intelligent Information Hiding and Multimedia Signal Processing

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