Intro
Preface
Contents
About the Editors
Artificial Intelligence
Brain Tumor Segmentation Using Fully Convolution Neural Network
1 Introduction
2 CNN Architectures for Brain Tumor Segmentation
2.1 UNet Architecture
3 Proposed Architecture-RDUNet
3.1 RDUNet Architecture
4 Implementation Details
4.1 Dataset
4.2 Pre-processing
4.3 Results
4.4 Evaluation Metrics
5 Conclusion and Future Work
References
Artificial Intelligence-Based Lung Nodule Detection: A Survey
1 Introduction
2 Literature Survey
3 Datasets
3.1 LIDC/IDR

3.2 ANODE09
3.3 LC 25000
4 Approaches
4.1 Deep Learning-Based Approach
5 Performance Comparison
6 Conclusion
References
Correlative Exposition of Various Machine Learning Techniques for Urdu Handwritten Text Recognition
1 Introduction
1.1 Machine Learning Algorithms
1.2 Deep Learning Algorithms
2 Literature Review
3 Comparative Analysis
4 Conclusion
References
Artificial Intelligence and Graph Theory Application for Diagnosis of Neurological Disorder Using fMRI
1 Introduction
1.1 Brain Connectivity
2 Medical Applications fMRI

2.1 About Functional Magnetic Resonance Imaging (fMRI)
3 Artificial Intelligence (AI) and Graph Theory
3.1 Graph Theory Application in Interpretation of Brain Network
3.2 AI, ML, DL Methods for Classification of Disorders
4 Constraints and Future Scope
5 Conclusion
References
Performance Analysis of Document Similarity-Based DBSCAN and K-Means Clustering on Text Datasets
1 Introduction
2 Related Work
3 Experimental Work
3.1 Dataset Creation and Selection
3.2 Preprocessing
3.3 TF-IDF Matrix Generation and Document Index Graph Generation

3.4 Calculating Similarity Between Documents
3.5 Optimal Parameter Calculation for Clustering
3.6 Clustering
4 Results and Discussion
5 Conclusion and Future Work
References
Evolution of Autonomous Vehicle: An Artificial Intelligence Perspective
1 Introduction
2 Artificial Intelligence Analysis in Autonomous Vehicles
3 History and Approaches of Artificial Intelligence
4 Conclusion
References
Systematic Review of Learning Models for Suicidal Ideation on Social Media
1 Introduction
1.1 Statistical Analysis
2 State-Of-The-Art Works in Learning Models

2.1 Machine Learning
2.2 Deep Learning
2.3 Transfer Learning
3 Future Work and Conclusion
References
A Novel Recommendation System for Mutual Management on Both OTT Video Streaming and Advertising Using Incremental Learning Approach
1 Introduction
2 Literature Survey
3 Method Implementation
3.1 Workflow of Incremental Learning (IL)
3.2 Mutual Management Over OTT Video Streaming and Advertisements (MMOA) Based on IL
4 Result Analysis
5 Conclusion and Future Work
References
Early Diagnosis of Cervical Cancer Using AI: A Review
1 Introduction