Intro
Preface
Organization
Honorary Chair
General Chairs
Co-chairs
International Advisory Board
Publication Chair
Program Chairs
Publicity Chairs
Technical Program Committee
Local Arrangement Chairs
Contents
Deep Learning and Applications
Plant Leaf Diseases Detection and Identification Using Deep Learning Model
1 Introduction
2 Related Works
3 Proposed Method
4 Experimental Results
5 Conclusions
References
Reinforcement Learning for Developing an Intelligent Warehouse Environment
1 Introduction
2 Machine Learning Techniques

3 Results and Discussion
4 Conclusion and Future Research
References
A Low-Cost Multi-sensor Deep Learning System for Pavement Distress Detection and Severity Classification
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Overall System Architecture
3.2 Deep Learning Distress Detection
3.3 Dataset and Training Information
3.4 Projection onto the Depth 3D Point Cloud and ROI Filtering
4 Case Study: Pothole Severity Classification
5 Experimental Results
5.1 Results for the Distress Detection
5.2 Results for Pothole Severity Classification

6 Conclusion
References
An Intrusion Detection Model Based on Deep Learning and Multi-layer Perceptron in the Internet of Things (IoT) Network
1 Introduction
2 Related Work
2.1 Multi Agent Systems for IDS
2.2 Fuzzy Systems for IDS
2.3 Game Theory Models for IDS
3 Architecture of the Proposed Intrusion Detection System
3.1 Pre-processing and Feature Engineering
3.2 Deep Learning Layer
3.3 Evaluation Layer
4 The Experimental Results
5 Comparison Between Proposed Models and the Others
6 Conclusion
References

Transfer Learning and Recurrent Neural Networks for Automatic Arabic Sign Language Recognition
1 Introduction
2 Related Work
3 Arabic Sign Language Dataset
4 Methodology
4.1 Prepare the Dataset
4.2 Extract the Spatial Features
4.3 Extract the Temporal Features
4.4 Video Augmentation
5 Experimental and Results
5.1 Experiment Settings
5.2 Models Results
6 Conclusion and Future Works
References
Robust Face Mask Detection Using Local Binary Pattern and Deep Learning
1 Introduction
2 Related Works
3 Proposed Method
4 Experimental Results

5 Conclusion
References
Steganography Adaptation Model for Data Security Enhancement in Ad-Hoc Cloud Based V-BOINC Through Deep Learning
1 Introduction
1.1 Ad-Hoc Cloud Computing
1.2 Deep Steganography
1.3 Contribution
1.4 Paper Organization
2 Literature Review
3 Proposed Solution
4 Experiment
5 Discussion and Analysis
6 Conclusion
References
Performance of Different Deep Learning Models for COVID-19 Detection
1 Introduction
2 Deep Learning (DL)
2.1 The DL-Algorithms Steps in COVID-19 Diagnosis
2.2 DL-Models for COVID-19 Detection