Intro
Preface
Contents
Brain-Inspired Spatiotemporal Feature Extraction Using Convolutional Legendre Memory Unit
1 Introduction
1.1 Neuromorphic Computing
2 Related Works
3 Proposed Convolutional LMU Model
4 Synthetic Dataset and Evaluation Measures
5 Results and Analysis
6 Conclusion
References
Underwater Image Enhancement Using Image Processing
1 Introduction
1.1 Problem Statement
2 Literature Survey
3 Methodology
4 Architecture
5 Conclusion
References
Fake News Detection on Indian Sources
1 Introduction
2 Related Works

3 Proposed Solution
3.1 Dataset
3.2 Data Cleaning
3.3 Data Analysis
3.4 Text Preprocessing and Text Transformation
3.5 Model
3.6 Testing
4 Results
5 Use Cases
6 Future Works
7 Conclusion
References
Exploring Self-supervised Capsule Networks for Improved Classification with Data Scarcity
1 Introduction
2 Related Work
2.1 Functionality of Capsule Networks
2.2 Self-supervision and Capsule Networks
2.3 Pretrained Capsule Networks
3 Methods
3.1 Data Set
3.2 Capsule Network Model
3.3 Self-supervision
4 Results and Discussion

4.1 Data Scarcity
4.2 Learning Behaviour of the Self-supervised CapsNet
4.3 Data Scarcity and Imbalance
4.4 Correlation of Pretext and Downstream Accuracy
5 Conclusion
References
A Novel Architecture for Improving Tuberculosis Detection from Microscopic Sputum Smear Images
1 Introduction
2 Literature Review
3 Methodology
3.1 Preprocessing
3.2 Mask Generation Using SegZNet Architecture
3.3 Data Augmentation
3.4 UNet Segmentation
4 Result and Discussion
5 Conclusion
References
TapasQA
Question Answering on Statistical Plots Using Google TAPAS

1 Purpose
2 Previous Work
3 Methodology
3.1 Dataset
3.2 Pipeline
4 Major Research Findings
4.1 Questions Handled by Our Model
4.2 Training Details
4.3 Evaluation Metric
5 Result Implications
5.1 Plot Element Detection Stage
5.2 Table Question Answering (QA) Stage
6 End-To-End Example
7 Value and Limitations
8 Conclusion and Future Work
References
Face Sketch-Photo Synthesis and Recognition
1 Introduction
2 Related Work
3 Research Gap
4 Data
4.1 CUFS Dataset
4.2 CelebA Dataset
4.3 ORL Dataset
5 Tools and Experimental Settings

6 Proposed Methodology
6.1 Face-Sketch Synthesis
6.2 Face-Photo Synthesis
6.3 Facial Recognition
7 Results
7.1 Face-Sketch Synthesis
7.2 Face-Photo Synthesis
7.3 Facial Recognition
8 Evaluation
8.1 Face-Sketch Synthesis
8.2 Face-Photo Synthesis
8.3 Facial Recognition
9 Conclusion
10 Future Work
References
Toward Robust Image Pre-processing Steps for Vehicle Plate Recognition
1 Introduction
2 The Proposed Deskew Approach
3 Performance Evaluation
4 Conclusion
References