Intro
Preface
Organization
Contents
Part II
Contents
Part I
Predicting Seasonal Vaccines and H1N1 Vaccines Using Machine Learning Techniques
1 Introduction
2 Literature Survey
3 Data Analysis
3.1 Dataset
3.2 Data Cleaning and Pre-processing
3.3 Data Visualization
4 Training and Testing the Model
5 Methodologies
5.1 Method 1
OneVsRest
5.2 Gradient Boosting
6 Results and Evaluation
7 Conclusion
References
Handling Class Imbalance in Electroencephalography Data Using Synthetic Minority Oversampling Technique
1 Introduction

2 Dataset Information and Preprocessing
3 Epileptic Seizure State Recognition Model
3.1 Synthetic Minority Oversampling Technique (SMOTE)
3.2 Random Forest Classifier
4 Performance Evaluation Parameters
5 Results and Discussion
6 Conclusion and Future Work
References
Dissemination of Firm's Market Information: Application of Kermack-Mckendrick SIR Model
1 Introduction
2 Related Work
2.1 The Kermack-Mckendrick SIR Model
3 Methodology
3.1 Product Information Dissemination Model
3.2 State Changes in Product Information Transmission
4 Experiments

4.1 For Eqs. 1, 2 and 3
4.2 For Eqs. 11, 12 and 13
5 Conclusion and Future Work
References
Improving Image-Based Dialog by Reducing Modality Biases
1 Introduction
2 Literature Survey
3 Methodology
3.1 System Workflow
3.2 Dataset Used
3.3 Feature Extraction and Dense Caption Generation
3.4 Attention Mechanism
3.5 Network Architecture
4 Experimentation and Results
5 Conclusion and Future Scope
References
Dependency Parser for Hindi Using Integer Linear Programming
1 Introduction
2 Literature Survey
3 Paninian Grammar
3.1 Karaka Relations

4 Methodology
5 Results and Discussions
6 Conclusion and Future Scope
References
Medical Records Management Using Distributed Ledger and Storage
1 Introduction
2 Related Works
3 Proposed Solution
3.1 System Architecture
3.2 Usecases
4 Conclusion and Future Work
References
Detection of Depression and Suicidal Ideation on Social Media: An Intrinsic Review
1 Introduction
2 Datasource and Dataset Characteristics
3 Methodology/Assessment Criteria for Modeling
3.1 Preprocessing
3.2 Feature Extraction
3.3 Topic Modeling
3.4 Model Approaches

4 Discussion
5 Conclusion
6 Future Work
References
Frequency Based Feature Extraction Technique for Text Documents in Tamil Language
1 Introduction
1.1 Feature Extraction and Feature Selection
2 Literature Survey
3 Feature Extraction Techniques
4 Frequency-Based Feature Extraction Architecture
5 Results and Discussion
6 Conclusion
References
An Approach of Devanagari License Plate Detection and Recognition Using Deep Learning
1 Introduction
1.1 Nepali License Plate (NLP)
2 Related Works
3 Proposed Method
3.1 Detection and Localization
3.2 Image Processing and Segmentation of LP Characters.