Intro
Preface
Acknowledgements
About This Book
Contents
About the Editors
The Study of Cluster-Based Energy-Efficient Algorithms of Flying Ad-Hoc Networks
1 Introduction
2 IoT Architecture and Devices
3 Flying Ad-Hoc Networks (FANETs)
4 Classification of FANET Routing Protocols
5 Practical Approaches of Routing Protocols in FANETs
5.1 Cluster Based
5.2 Non-cluster Based
6 Recent Research and Developments in FANETs
7 Conclusion
References
Current Web Development Technologies: A Comparative Review
1 Introduction

2 Front-End Libraries and Framework
3 Comparison
4 React.JS in Front-End Development
5 Features
6 Angular Versus React
7 Advantages
8 Disadvantages
9 Conclusion
References
R-Peak-Based Arrhythmia Detection as an Impact of COVID-19
1 Introduction
2 Literature Survey
3 Materials and Methods
4 Result
5 Conclusion
References
IoT-Based Water Quality Monitoring and Detection System
1 Introduction
2 Literature Survey
3 Material and Methodology
3.1 Methodology
3.2 System Architecture
4 Implementation
4.1 Sensor Interfacing

4.2 Microcontroller Programming
4.3 Transmitting Sensed Data to the Internet and Projecting the Sensed Data in Web App
5 Results and Discussion
6 Conclusion
References
A Comparative Analysis of Different Diagnostic Imaging Modalities
1 Introduction
2 X-Ray Radiography
3 Magnetic Resonance Imaging (MRI)
4 Ultrasonography
5 Elastography
6 Optical Imaging
7 Comparison of Several Medical Imaging Techniques
8 Conclusion
References
Uncovering the Usability Test Methods for Human-Computer Interaction
1 Introduction

2 User Engagement and Human-Computer Interaction
3 Software Testing and its Need
4 Usability Test Methods
5 Research Gap and Problem Statement
6 Contribution of Paper
7 Research Methodology
8 Proposed Outcomes/Conclusion
References
The Effects of Lipid Concentration on Blood Flow Through Constricted Artery Using Homotopy Perturbation Method
1 Introduction
2 Formulation of the Problem
3 Discussion
4 Conclusion
References
Actual Facial Mask Recognition Utilizing YOLOv3 and Regions with Convolutional Neural Networks
1 Introduction
2 Methodology

2.1 Object Discovery Using CNN
2.2 Faster R-CNN Algorithm
2.3 Region Proposal Network (R.P.N.)
2.4 Object Exposure Using R.P.N. and Quicker-R-CNN
2.5 Image Preprocessing
2.6 Architecture Diagram
2.7 Set of Data
3 Results and Discussion
4 Conclusion
References
Real-Time Smart System for Marking Attendance that Uses Image Processing in a SaaS Cloud Environment
1 Introduction
2 Related Works
3 System Architecture
3.1 Proposed Algorithm
3.2 Facial Recognition
3.3 Deep Learning
3.4 Comparison Between Proposed and Existing Systems
4 Implementation