Intro
Preface
Contents
Editors and Contributors
Survey Paper on Multi-view Object Detection: Challenges and Techniques
1 Introduction
2 Datasets Used for Object Detection
2.1 Microsoft COCO (Common Objects in Context) Dataset [5]
2.2 Open Image Dataset V6 [6]
2.3 ImageNet Dataset [7]
2.4 Pascal VOC [8]
3 Object Detection Models
3.1 R-CNN (Region with CNN Features) [17]
3.2 Fast R-CNN
3.3 Faster R-CNN [18]
3.4 SDD (Single Short Detector) [16]
3.5 EfficientDet [19]
3.6 CenterNet [20]
3.7 You Only Look Once (YOLO) [12-15]

4 Evaluation Parameter
5 Experiments
6 Conclusion
References
Exploring the Scheduling Techniques for the RTOS
1 Introduction
2 Survey of Real-Time Operating System's Scheduling Techniques
2.1 Earliest Deadline First-Based Scheduling Algorithms (EDF)
2.2 Multicore Architecture Classification-Based Schedulers
2.3 Tasks' Characteristic-Based Scheduling Algorithms
2.4 MLFQ Scheduler-Based Survey
3 Conclusion
References
Grid Power Smoothing Management for Direct-Drive PMSG Variable-Speed Wind Energy Conversion System with Multilevel Converter
1 Introduction

2 Methodology
3 Simulation Result and Analysis
4 Conclusion
References
Fall Detection Using Transformer Model
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset
3.2 Machine Learning Models
3.3 Transformer Model
4 Result and Analysis
5 Conclusion and Future Works
References
Survey on Various IOT-Based Irrigation Techniques in India
1 Introduction
2 Internet of Things in Agriculture
2.1 Weather Conditions
2.2 Precision Farming
2.3 Data Analytics
2.4 Agricultural Drones
2.5 Smart Greenhouse
3 Literature Review
4 Methodology

4.1 Automated Irrigation System Using Wi-Fi [2]
4.2 Smart Plant Watering System with Cloud Analysis and Plant Health Prediction
4.3 Automated Smart Irrigation System (Asis)
4.4 Drip Irrigation System Using Wireless Sensor Networks
4.5 IoT-Based Automated Irrigation System for Smart Farming
4.6 Smart Drip Irrigation System Using IOT
4.7 Limitations in Methodologies
5 Conclusion
References
Empirical Analysis of Crop Yield Prediction and Disease Detection Systems: A Statistical Perspective
1 Introduction
2 Literature Review
3 Statistical Analysis

4 Conclusion and Future Scope
References
Analysis of Public Perception of Autonomous Vehicles Based on Unlabelled Data from Twitter
1 Introduction
2 Literature Review
2.1 Technology Acceptance
2.2 Autonomous Vehicles
2.3 VADER
2.4 NLTK
3 Methodology
3.1 Data Extraction
3.2 Data Pre-processing
3.3 Using VADER
3.4 Data Visualisation
4 Result
5 Conclusion
6 Future Work
References
DFCNNet: A Convolutional Neural Network to Detect Deepfakes
1 Introduction
1.1 Deepfake
1.2 Threat by Deepfakes
2 Previous Works
3 Methodology