Intro
ICAAAIML-2020
Preface
Contents
About the Editors
Artificial Intelligence and Its Applications in Smart Education
Building a Language Data Set in Telugu Using Machine Learning Techniques to Address Suicidal Ideation and Behaviors in Adolescents
1 Introduction
2 Suicidal Data Set Creation in Telugu
3 Technique Used for Data Gathering to Create Required Data Set
4 Data Collection
4.1 Scrapping
4.2 Cleaning
4.3 Annotation
4.4 Data Set Statistics
5 Methodology
6 Experiments and Results
6.1 Accuracy by ML Classifiers

6.2 Binary Classification Measures
7 Conclusion
8 Future Work
References
Feature Selection and Performance Comparison of Various Machine Learning Classifiers for Analyzing Students' Performance Using Rapid Miner
1 Introduction
2 Literature Review
3 Research Methodology
4 Experiment and Results
5 Conclusion
References
Internet of Things (IoT) Based Automated Light Intensity Model Using NodeMcu ESP 8266 Microcontroller
1 Introduction
1.1 Problem Statement
1.2 Objectives
2 Research Methodology
3 Literature Survey
4 Performance Analysis

4.1 Analysis Outcomes
5 Conclusion and Future Scope
References
Handwritten Mathematical Symbols Classification Using WEKA
1 Introduction
2 Literature Review and Related Work
3 Proposed Work
4 Implementation
5 Conclusion and Future Scope
References
Enhancing Sociocultural Learning Using Hyperlocal Experience
1 Introduction
2 Literature Survey
3 Working of the System
3.1 Overview
3.2 Hyperlocal Forecasting
3.3 Architecture
3.4 Methodology
3.5 Proposed Solution
3.6 Algorithm
4 Conclusion
5 Future Enhancements
References

Subsequent Technologies Behind IoT and Its Development Roadmap Toward Integrated Healthcare Prototype Models
1 Introduction
2 Technologies Behind IoT
2.1 IoT Development Boards and IoT Hardware
2.2 IDE (Integrated Development Environment)
2.3 Protocols
2.4 Network Spine
2.5 Internetwork Cloud Stages/server
2.6 Software
3 IoT Gateway Device
4 IoT Development Roadmap and Healthcare Prototype
5 Conclusion
References
Big Data and Data Mining
Bug Assignment-Utilization of Metadata Features Along with Feature Selection and Classifiers
1 Introduction

2 Literature Survey
3 Proposed En-TRAM Triager
4 Experimental Setup and Results
4.1 Experiment Setup
4.2 Results
5 Conclusion
References
Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media
1 Introduction
1.1 Previous Work
2 Corpus Creation and Annotation
2.1 Annotations
3 Methodology
3.1 Bidirectional Encoder Representations from Transformers (BERT)
3.2 Embeddings from Language Models (ELMo)
3.3 Flair
4 System Design
4.1 Data Pre-Processing
4.2 Fine-Tuning Approaches
5 Results and Discussion