Intro
Preface
Organization
Contents - Part II
Contents - Part I
Knowledge Integration and Analysis
A New Data Transformation and Resampling Approach for Prediction of Yield Strength of High-Entropy Alloys
1 Introduction
2 Data Description
3 Statistical Analysis of the YS1 Dataset
4 Experimental Results
4.1 Comparison of Multiple Linear Models
4.2 Comparison of AutoGluon-generated Models
5 Conclusions
References
A Semi-Formal Approach to Describing Semantics of Data Modeling Patterns
1 Introduction
2 Conceptual Layer of Metamodels

3 Method for Pattern Specification
3.1 Description Layer
3.2 Specification Layer
3.3 Implementation Layer
3.4 Patterns as a Part of a Concept System
4 Generalized Network: A Case Study
4.1 Description Layer
4.2 Specification Layer
4.3 Implementation Layer
5 Conclusions
References
Obfuscating LLVM IR with the Application of Lambda Calculus
1 Introduction
2 Related Works
3 Purpose
4 Method
5 Experiment
5.1 Experimental Results
6 Discussion
6.1 Variation with the Depth of the Loop Nesting
6.2 Performance Measurement of a Practical Program

7 Conclusion
References
Structural and Compact Latent Representation Learning on Sparse Reward Environments
1 Introduction
2 Related Works
3 Background
3.1 Fully and Partially Observable MDP
3.2 Proximal Policy Optimization
3.3 Latent Encoding via AE and VAE
4 Method
4.1 Learning Compact Latent Representations
4.2 Exploration on the Learned Latent Space
5 Experiments
5.1 Environments and Configs
5.2 Results and Analysis
6 Conclusion
References
A Survey of Explainable Artificial Intelligence Approaches for Sentiment Analysis
1 Introduction

2 Background
2.1 Sentiment Analysis
2.2 Explainable Artificial Intelligence
3 Explainable AI in Sentiment Analysis
4 Trends and Challenges
5 Summary
References
Social Collective Model of Non-internet Social Networks
1 Introduction and Related Works
2 Related Works
3 Overall Model of the Social Collective
4 Communication Module
5 Evaluation of the Model
6 Conclusions
References
A Data-Driven Scheduling Strategy for Mobile Air Quality Monitoring Devices
1 Introduction
2 Related Work
3 Proposed Framework

3.1 Overview of the Air Quality Monitoring System
3.2 Overview of the Framework
3.3 Multitask Learning-Based Air Quality Prediction Model
3.4 Adaptive Scheduling Algorithm
4 Performance Evaluation
4.1 Hardware Implementation
4.2 Experimental Setup
4.3 Benchmark Algorithms
4.4 Evaluation Metrics
4.5 Numerical Results
5 Conclusion
References
Hybrid Approaches to Sentiment Analysis of Social Media Data
1 Introduction
2 Literature Review
2.1 Preprocessing
2.2 Vectorization
2.3 Negation Handling
2.4 Lexicon-Based Model
3 Methodology