Intro
Preface
About the Conference
Contents
Editors and Contributors
Mathematical Modeling of the Data Processing Problems of Heat Experiments Based on Multiprocessor Computing Complexes
1 Introduction
2 Research Topic Relevance and Research Purpose
3 Mathematical Modeling Features of Thermal Problems
4 Mathematical Formulation of Research Problem
5 Construction Features of the Controlled MM for the Coefficient IHCP Problem
6 Brief Illustration of the Application Package
7 The Solution of the Test Coefficient IHCP Using Mathematical Modeling
8 Conclusion

4.2 Feature Detection Using Value Thresholding of Image
4.3 Orientation of the Subject Concerning the Camera
4.4 Extracting the ROI (Region of Interest)
4.5 Segmentation Using Region Adjacency Graphs
4.6 Interactive Foreground Extraction Using GrabCut Algorithm and DeepLab Model for Semantic Image Segmentation
5 Conclusion
References
Enhanced Speeded Up Robust Feature with Bag of Grapheme (ESURF-BoG) for Tamil Palm Leaf Character Recognition
1 Introduction
2 Related Works
3 Overview of ESURF-BoG for Character Recognition in Palm Leaf Manuscript
3.1 Preprocessing

3.2 Image-Based Feature Extraction
4 Result Analysis and Discussion
4.1 Data Set Collection
4.2 System Setup
5 Conclusion
References
PlagoBot: A Confluence of Plagiarism and RPA
1 Introduction
2 Why RPA Over Traditional Automation Methods
3 Methodology
4 System Design
5 Plagiarism Detection Process
6 Features of the System
7 Conclusion
References
MAGE: An Efficient Deployment of Python Flask Web Application to App Engine Flexible Using Google Cloud Platform
1 Introduction
2 Related Work
3 Implementation
4 Results and Discussions

5 Conclusion and Future Work
References
Traffic Sign Recognition System (TSRS): SVM and Convolutional Neural Network
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Data Collection and Preparation
3.2 Convolutional Neural Network
3.3 Support Vector Machine (SVM)
4 Result Analysis
5 Conclusion
References
A Comparative Study of Machine Learning Algorithms for Gas Leak Detection
1 Introduction
1.1 Related Works
2 Data and Pre-processing
3 Description of Algorithms Used
3.1 Naïve Bayes
3.2 ACF Model
3.3 Decision Tree