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Table of Contents
Intro
Preface
Organization
Contents
Understanding the General Framework for Teaching Semantics and Syntaxes of Visual Languages to Computer Education Students Based on Notion of Abstract Visual Syntax Graphs
1 Introduction
2 Related Work
2.1 Syntax of Visual Languages
2.2 Semantics of Visual Languages
2.3 Graph Representation
2.4 Abstract Visual Syntax Graph and Graph Grammar
2.5 Logical Semantics
3 The three Notable Visual Languages
3.1 Euler Diagrams (Circle)
3.2 VEX
3.3 Show and Tell
4 Conclusions and Future Work
References
A Prediction System Using AI Techniques to Predict Students' Learning Difficulties Using LMS for Sustainable Development at KFU
1 Introduction
1.1 Practitioner Notes
2 Related Work
3 Machine Learning
3.1 Logistics Regression (LR)
3.2 K-Nearest Neighbor (KNN)
3.3 Decision Tree (DT)
3.4 Naive Bayes Algorithm (NB)
3.5 Random Forest (RF)
3.6 Stochastic Gradient Descent (SGD)
3.7 Ridge Classifier
3.8 Nearest Centroid
4 Dataset Description
5 Methodology
6 Data Transformation
7 Data Partitioning
8 Performance Evaluation
9 Results
10 Conclusion
11 Discussion
References
COVID-19 Detection from Chest X-Ray Images Using Detectron2 and Faster R-CNN
1 Introduction
2 Deep Learning Based Object Detection
2.1 R-CNN
2.2 Fast R-CNN
2.3 Faster R-CNN
2.4 YOLO
3 Methodology
3.1 Dataset
3.2 Baseline Models
3.3 Evaluating Object Detection Models
3.4 Training Process for Different Models
4 Results and Discussion
5 Conclusion
References
Effective SNOMED-CT Concept Classification from Natural Language using Knowledge Distillation
1 Introduction
2 Related work
2.1 SNOMED-CT (Systemized Nomenclature of Medicine Clinical Term)
2.2 Medical Natural Language Document
2.3 Methods for Inferring Terms for Binding SNOMED-CT
2.4 Knowledge Distillation
2.5 BioBert ch4ref11
3 Methodology
3.1 Problem statement
3.2 Proposed Model
3.3 Data Preprocessing
3.4 Learning Method and Architecture
4 Results and Discussions
5 Conclusion
References
Analyze Mental Health Disorders from Social Media: A Review
1 Introduction
2 Methodology
3 Result
3.1 RQ1: What Technique Is Most Commonly Used in the Mental Health Analysis in the Last Five Years?
3.2 RQ2: What Data Sources or Applications Are Widely Used to Retrieve Test Data?
3.3 Synthetic Result
4 Conclusion
References
Methods of Solution to the Task on Early Detection of Fire Outbreaks Based on Images and Video Streams from Controlled Territories
1 Introduction
2 Review of Existing Methods
3 Set up of the Task
4 Realization of Experiments
4.1 Task of Binary Classification
4.2 Extraction of Places with Fire Based on YOLO
5 Conclusion
References
Preface
Organization
Contents
Understanding the General Framework for Teaching Semantics and Syntaxes of Visual Languages to Computer Education Students Based on Notion of Abstract Visual Syntax Graphs
1 Introduction
2 Related Work
2.1 Syntax of Visual Languages
2.2 Semantics of Visual Languages
2.3 Graph Representation
2.4 Abstract Visual Syntax Graph and Graph Grammar
2.5 Logical Semantics
3 The three Notable Visual Languages
3.1 Euler Diagrams (Circle)
3.2 VEX
3.3 Show and Tell
4 Conclusions and Future Work
References
A Prediction System Using AI Techniques to Predict Students' Learning Difficulties Using LMS for Sustainable Development at KFU
1 Introduction
1.1 Practitioner Notes
2 Related Work
3 Machine Learning
3.1 Logistics Regression (LR)
3.2 K-Nearest Neighbor (KNN)
3.3 Decision Tree (DT)
3.4 Naive Bayes Algorithm (NB)
3.5 Random Forest (RF)
3.6 Stochastic Gradient Descent (SGD)
3.7 Ridge Classifier
3.8 Nearest Centroid
4 Dataset Description
5 Methodology
6 Data Transformation
7 Data Partitioning
8 Performance Evaluation
9 Results
10 Conclusion
11 Discussion
References
COVID-19 Detection from Chest X-Ray Images Using Detectron2 and Faster R-CNN
1 Introduction
2 Deep Learning Based Object Detection
2.1 R-CNN
2.2 Fast R-CNN
2.3 Faster R-CNN
2.4 YOLO
3 Methodology
3.1 Dataset
3.2 Baseline Models
3.3 Evaluating Object Detection Models
3.4 Training Process for Different Models
4 Results and Discussion
5 Conclusion
References
Effective SNOMED-CT Concept Classification from Natural Language using Knowledge Distillation
1 Introduction
2 Related work
2.1 SNOMED-CT (Systemized Nomenclature of Medicine Clinical Term)
2.2 Medical Natural Language Document
2.3 Methods for Inferring Terms for Binding SNOMED-CT
2.4 Knowledge Distillation
2.5 BioBert ch4ref11
3 Methodology
3.1 Problem statement
3.2 Proposed Model
3.3 Data Preprocessing
3.4 Learning Method and Architecture
4 Results and Discussions
5 Conclusion
References
Analyze Mental Health Disorders from Social Media: A Review
1 Introduction
2 Methodology
3 Result
3.1 RQ1: What Technique Is Most Commonly Used in the Mental Health Analysis in the Last Five Years?
3.2 RQ2: What Data Sources or Applications Are Widely Used to Retrieve Test Data?
3.3 Synthetic Result
4 Conclusion
References
Methods of Solution to the Task on Early Detection of Fire Outbreaks Based on Images and Video Streams from Controlled Territories
1 Introduction
2 Review of Existing Methods
3 Set up of the Task
4 Realization of Experiments
4.1 Task of Binary Classification
4.2 Extraction of Places with Fire Based on YOLO
5 Conclusion
References