Pythagorean Fuzzy Information Measure with Application to Multicriteria Decision Making
1 Introduction
2 Literature Review
3 New Pythagorean Fuzzy Information Measure
3.1 Properties of O[alpha-Beta] (A)
3.2 Monotonicity of Proposed Pythagorean Fuzzy Information Measure
3.3 Multicriteria Decision Making Based on New Pythagorean Fuzzy Information Measure
4 Conclusion
References
Developing an Improved Software Architecture Framework for Smart Manufacturing
1 Introduction
2 Literature Review
2.1 Industry 4.0
2.2 Software Architecture 4.0

Intro
Preface
Contents
About the Editors
The Extraction of Automated Vehicles Traffic Accident Factors and Scenarios Using Real-World Data
1 Introduction
2 Data Collecting and Preprocessing
2.1 Collecting AVs Accident Data
2.2 Preprocessing AVs Accident Data
3 Learning Method and Result
3.1 Random Forest
3.2 Extraction of AVs Collision Factor Importance
4 AVs Traffic Accident Scenarios
4.1 Scenario Combinations Based on Collision Situations
4.2 AVs Ahead Situation
4.3 AVs Rear Situation
4.4 Comparison with HVs Traffic Accidents
4.5 Summary

5 Conclusion and Future Research
References
Leaf Disease Identification in Rice Plants Using CNN Model
1 Introduction
2 Related Work
3 Proposed Method
3.1 Dataset
3.2 Pre-processing
3.3 Data Normalization
3.4 Create a Model
3.5 Training and Validation
3.6 Test the Model
3.7 Convert the Model to .tflite Format
3.8 Develop and Deploy Using Mobile App
3.9 Test the Mobile App
4 Experimental Results
5 Experimental Set-Up
6 Discussion
7 Conclusions
References
Twitter Sentiment Analysis Based on Neural Network Techniques
1 Introduction

2 Literature Survey
2.1 Related Work
2.2 Opinion Mining
2.3 Twitter
2.4 Twitter Sentiment Analysis
3 Data Description
4 Proposed Methodology
4.1 Pre-processing
4.2 Feature Extraction
4.3 Feature Representation
4.4 Handling Memory Issues
4.5 Implementation
5 Classification Techniques Compared
5.1 Naïve Bayes
5.2 Decision Tree
5.3 Support Vector Machine (SVM)
5.4 Multilayer Perceptron (MLP)
5.5 Recurrent Neural Network (RNN)
5.6 Convolutional Neural Network (CNN)
6 Results
7 Conclusion
References

Enhanced Stock Market Prediction Using Hybrid LSTM Ensemble
1 Introduction
2 Literature Survey
3 Dataset
4 Proposed Methodology
4.1 Ensemble
4.2 Bagging
4.3 Optimizer
4.4 Experimental Settings
5 Result
6 Conclusion
References
Classifying Microarray Gene Expression Cancer Data Using Statistical Feature Selection and Machine Learning Methods
1 Introduction
2 Literature Review
3 Materials and Methods
3.1 Dataset
3.2 Feature Selection
3.3 Classifiers
4 Results and Discussion
5 Conclusion
References