Intro
Committee
Preface
Advisory Board
Contents
1 Character Recognition System Using CNN for Sanskrit Text
Introduction
Sanskrit Language
Problems in Sanskrit Text
Vowels and Consonants
Literature Survey
Input Documents
Preprocessing
Segmentation
Feature Extraction
Classification
Unicode Mapping
Results and Discussion
Conclusion
References
2 Resampling Imbalanced Data and Impact of Attribute Selection Methods in High Dimensional Data
Introduction
Current Approach
Re-sampling Method
Feature Selection
Experimental Setup

Datasets
Design of Experiments
Result and Discussion
Conclusion
References
3 Wireless sEMG Acquisition and Monitoring-A Survey
Introduction
Literature Survey
Bluetooth-Based Wireless EMG Sensor
Wi-Fi-Based Wireless EMG Sensor
X-Bee-Based Wireless EMG Sensor
Other Wireless EMG Sensor
Comparison of the Existing Systems
Summary
Conclusion
References
4 Black Hole Algorithm for BigData Anonymization
Introduction
Related Work
Proposed Approach
Experimental Result
Results and Discussion
Conclusion
References

5 Sleep Quality Analysis Using Motion Signals and Heart Rate
Introduction
Materials and Methods
Data Used
Feature Extraction
Feature Selection
Classification
Sleep Efficiency and Sleep Quality
Results and Discussion
Conclusion
References
6 Prediction and Performance Assessment in Woman Handball Athletes by Employing Machine Learning Methods
Introduction
Related Works
Proposed Methodology
Dataset
Machine Learning Models
Results and Discussion
Conclusion
References
7 Deep Learning for Object Detection: A Survey
Introduction

Backbone Networks
Characteristic Baselines
Dataset Salsometrics
Examination of General Image Object Recognition Approaches
Applications also Branches
Conclusion
References
8 Routing Protocols: A Survey
Introduction
Routing Protocols and Classification
Routing Protocols
Proactive Routing Protocol
Reactive Routing Protocol
Hybrid Routing Protocol
Other Routing Protocols
Methods Utilization Chart
Conclusion
References
9 Performance Evaluation of Segmentation Algorithms in Non Contrast and Contrast MRI Images for Region of Interest
Introduction

Imaging Modalities and Their Contrast Media
Proposed Methodology
Preprocessing of MRI Images
Contrast Limited Adaptive Histogram Equalisation (CLAHE)
Selection and Segmentation of ROI
Popular Segmentation Algorithms
Performance Metrics
Results and Discussions
Conclusions
References
10 A Novel Curve-Energy Framework to Find the Shortest Possible Lines Through Computer Vision
Introduction
Related Works
Proposed Model
Results and Discussion
Conclusions
References