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Table of Contents
Intro
Preface
Organization
Contents
Artificial Intelligence
A Genetic Algorithm for Scheduling Laboratory Rooms: A Case Study
1 Introduction
2 Related Works
3 Materials and Methods
4 Experimental Setup
5 Experimental Results
6 Conclusion
References
COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach
1 Introduction
2 Related Work
2.1 Text Classification
2.2 Deep Learning Methods
3 Study Design
3.1 Experimental Dataset
3.2 Word Embedding
3.3 Feature Selection and Dimensionality Reduction
3.4 Deep Learning Models
3.5 Research Methodology
4 Findings and Discussion
4.1 RQ1: Which Word Embedding Technique Results in the Best Performance?
4.2 RQ2: What Is the Impact of Feature Selection and Dimensionality Reduction on the Performance?
4.3 RQ3: Which of the Eight Structures for the DL Neural Network Is the Most Suitable for Text Classification?
4.4 How Do the Performances of the Models Trained on the Title Dataset Compare with Those Trained on the Content Dataset?
5 Conclusion
References
Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches
1 Introduction
2 Related Works
3 Methodology
3.1 Data Understanding and Preparation
3.2 Modeling
3.3 Evaluation
4 Results and Discussion
5 Conclusions and Future Works
References
Internet of Things (IoT) for Secure and Sustainable Healthcare Intelligence: Analysis and Challenges
1 Introduction
2 Basic Elements of IoT Environment
3 IoT Applications for Healthcare Intelligence
3.1 Types of IoT Applications in Healthcare
4 Sustainable IoT Techniques for Error Reduction, and Challenges (Security) in Healthcare Delivery
4.1 Healthcare Error Reduction Using Secured IoT Solutions
4.2 Healthcare Optimization Using IoT
4.3 Security Challenges in Healthcare Intelligence Delivery
5 Conclusion and Future Direction
References
Multiple Colour Detection of RGB Images Using Machine Learning Algorithm
1 Introduction
2 Related Work
3 Methodology
3.1 Overall Framework
3.2 K-Nearest Neighbour (KNN)
3.3 RGB Colour Histogram
3.4 Colour Classification Using KNN
4 Implementation and Results
4.1 Feature Extraction
4.2 Comparison
5 Conclusion
References
Neural Model-Based Similarity Prediction for Compounds with Unknown Structures
1 Introduction
2 Materials and Methods
2.1 Embeddings Construction
2.2 Neural Model
2.3 Dataset Construction
3 Results
3.1 Embeddings Selection
3.2 Optimization of the Neural Architecture
3.3 Similarity Prediction in Compounds of Unknown Structure
4 Conclusions
References
Data Analysis
Classifying Incoming Customer Messages for an e-Commerce Site Using Supervised Learning
1 Introduccion
2 Related Work
Preface
Organization
Contents
Artificial Intelligence
A Genetic Algorithm for Scheduling Laboratory Rooms: A Case Study
1 Introduction
2 Related Works
3 Materials and Methods
4 Experimental Setup
5 Experimental Results
6 Conclusion
References
COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach
1 Introduction
2 Related Work
2.1 Text Classification
2.2 Deep Learning Methods
3 Study Design
3.1 Experimental Dataset
3.2 Word Embedding
3.3 Feature Selection and Dimensionality Reduction
3.4 Deep Learning Models
3.5 Research Methodology
4 Findings and Discussion
4.1 RQ1: Which Word Embedding Technique Results in the Best Performance?
4.2 RQ2: What Is the Impact of Feature Selection and Dimensionality Reduction on the Performance?
4.3 RQ3: Which of the Eight Structures for the DL Neural Network Is the Most Suitable for Text Classification?
4.4 How Do the Performances of the Models Trained on the Title Dataset Compare with Those Trained on the Content Dataset?
5 Conclusion
References
Crop Classification Using Deep Learning: A Quick Comparative Study of Modern Approaches
1 Introduction
2 Related Works
3 Methodology
3.1 Data Understanding and Preparation
3.2 Modeling
3.3 Evaluation
4 Results and Discussion
5 Conclusions and Future Works
References
Internet of Things (IoT) for Secure and Sustainable Healthcare Intelligence: Analysis and Challenges
1 Introduction
2 Basic Elements of IoT Environment
3 IoT Applications for Healthcare Intelligence
3.1 Types of IoT Applications in Healthcare
4 Sustainable IoT Techniques for Error Reduction, and Challenges (Security) in Healthcare Delivery
4.1 Healthcare Error Reduction Using Secured IoT Solutions
4.2 Healthcare Optimization Using IoT
4.3 Security Challenges in Healthcare Intelligence Delivery
5 Conclusion and Future Direction
References
Multiple Colour Detection of RGB Images Using Machine Learning Algorithm
1 Introduction
2 Related Work
3 Methodology
3.1 Overall Framework
3.2 K-Nearest Neighbour (KNN)
3.3 RGB Colour Histogram
3.4 Colour Classification Using KNN
4 Implementation and Results
4.1 Feature Extraction
4.2 Comparison
5 Conclusion
References
Neural Model-Based Similarity Prediction for Compounds with Unknown Structures
1 Introduction
2 Materials and Methods
2.1 Embeddings Construction
2.2 Neural Model
2.3 Dataset Construction
3 Results
3.1 Embeddings Selection
3.2 Optimization of the Neural Architecture
3.3 Similarity Prediction in Compounds of Unknown Structure
4 Conclusions
References
Data Analysis
Classifying Incoming Customer Messages for an e-Commerce Site Using Supervised Learning
1 Introduccion
2 Related Work