Intro
Preface
Organization
Contents
A New Noise Generating Method Based on Gaussian Sampling for Privacy Preservation
1 Introduction
2 Related Work
2.1 Gaussian Noise Generating
2.2 Whittle's Noise Estimator
2.3 The Method Based on Fourier Transform
2.4 Distributed SGD for Differential Privacy
3 Our Methods
3.1 Contribution
3.2 The Process of Our Methods
3.3 Noise Variant in Stochastic Gradient Descent
3.4 Gaussian Distribution for Subsampling
4 Evaluations
4.1 Our Experiments for Comparing Learning Rates

4.2 Experiments for Gradient Clipping and Noise Levels
5 Conclusions
References
Traffic-Sign Recognition Using Deep Learning
1 Introduction
2 Literature Review
3 Methodology
3.1 Data Collection
3.2 Research Design for Training Faster R-CNN
3.3 Research Design for Training Faster YOLOv5
4 Results
4.1 Experiment Results of Faster R-CNN
4.2 Experiment Results of YOLOv5
5 Analysis
6 Conclusion and Future Work
References
Tree Leaves Detection Based on Deep Learning
1 Introduction
1.1 Background and Motivation
1.2 Contribution

2 Literature Review
3 Methodology
3.1 Working Principle and Structure Analysis of YOLO
3.2 Analysis of the Working Principle of Faster R-CNN
3.3 Environmental Deployment
3.4 Data Set Preparation
3.5 Evaluation Methods
4 Analysis and Discussions
4.1 Comparison of Object Detection Results
4.2 Comparative Analysis of the Two Proposed Models
4.3 Discussions
5 Conclusion and Future Work
References
Deep Learning in Medical Applications: Lesion Segmentation in Skin Cancer Images Using Modified and Improved Encoder-Decoder Architecture
1 Introduction

2 Related Study
3 Materials and Methods
3.1 Encoder-Decoder Framework
3.2 Network Architecture Details
4 Simulations and Results Discussion
4.1 Dataset Preparation
4.2 Quality Metrics
4.3 Comparison with Other State-of-the-Art Methods
5 Discussion and Conclusion
References
Apple Ripeness Identification Using Deep Learning
1 Introduction
2 Related Work
3 Our Approaches
4 Our Experiments
5 Conclusion
References
A Hand-Held Sensor System for Exploration and Thermal Mapping of Volcanic Fumarole Fields
1 Introduction
2 Related Work

3 Data Acquisition
3.1 Sensor System and Registration
3.2 Datasets
3.3 Thermal Sensing Quality
4 Methods
4.1 Localization
4.2 3D Reconstruction
Direct
4.3 3D Reconstruction
Indirect
5 Results
6 Discussion
7 Conclusion
References
Traffic Sign Recognition Using Guided Image Filtering
1 Introduction
2 Literature Review
3 Network Design
3.1 Guided Image Filtering
3.2 Improved Faster R-CNN
3.3 Improved YOLOv5
4 Results
4.1 Improved Faster R-CNN
4.2 Improved YOLOv5
4.3 Comparsions of YOLOv5 and Faster R-CNN