Proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics 2023 (Lecture Notes on Data Engineering and Communications Technologies, 184)

✍ Scribed by AboulElla Hassanien (editor), Rawya Y. Rizk (editor), Dragan Pamucar (editor), Ashraf Darwish (editor), Kuo-Chi Chang (editor)

• Publisher: Springer
• Year: 2023
• Tongue: English
• Leaves: 572
• Category: Library

✦ Synopsis

This proceedings book constitutes the refereed proceedings of the 9th International Conference on Advanced Intelligent Systems and Informatics (AISI 2023), which took place in Port Said University, Port Said, Egypt, during September 20–22, 2023, Egypt, and is an international interdisciplinary conference that presents a spectrum of scientific research on all aspects of informatics and intelligent systems, technologies, and applications.

✦ Table of Contents

Preface
Organization
Contents
Deep Learning Technology and Applications
A Robust Deep Learning Techniques for No-Show Prediction in Hospital Appointments
1 Introduction
2 Literature Review
2.1 Online Outpatient Appointment Scheduling
2.2 Patient No-Show Behavior
2.3 Classification Algorithms
2.4 Related Work
3 Methods and Techniques
3.1 Data Description
3.2 Implementation
3.3 Evaluation Models
4 Results
4.1 Model 1
4.2 Model 2
5 Conclusion
References
Empowering Individuals with Visual Impairments: A Deep Learning-Based Smartphone Navigation Assistant
1 Introduction
2 Dataset Description
3 The Proposed Deep Learning-Based Smartphone Navigation Assistant System
3.1 Frontend
3.2 Backend
4 Experimental Results and Discussion
5 Conclusion
References
Lane and Bump Detection Based on Computer Vision and Deep Learning Methods
1 Introduction
2 System Models
3 Proposed Methods
3.1 Lane Detection Methodology
3.2 Bump Detection Methodology
4 Evaluation Criteria
5 Simulation Results
6 Conclusion
References
Visual Steering for Deep Neural Networks Using Explainable Artificial Intelligence
1 Introduction
2 Related Work
2.1 Human in the Loop
2.2 Explainable AI
3 Proposed Method
3.1 Explanation Method
3.2 Manual Editing
3.3 Embedding Human Knowledge via Edited Attention Map
4 Experiments
4.1 Datasets
4.2 Results
5 Conclusion
References
Waste Allocation Load Lifter Model for Trash Detection Based on Deep Learning and Wireless Localization Techniques
1 Introduction
2 Related Works
3 The Proposed System
3.1 Trash Detection and Classification on YOLOv7 and YOLOv8
3.2 Autonomous Navigation System
4 Evaluation of Results
4.1 Analysis and Evaluation on Trash Detection and Classification Models
4.2 Analysis and Evaluation on Dejavu
5 Conclusions
References
Research on the Application of Data Mining Based on Deep Learning in the Analysis of Psychoeducational Factors
1 Introduction
2 Mathematical Description of a Data Mining Algorithm
2.1 Choice of Psychoeducational Quality Programmers
2.2 Analysis of Factor Analysis Evaluation Programs
3 Psychological Counseling Education for College Students: Practical Cases
3.1 Factor Analysis and Evaluation Presentation
3.2 Psychological Counseling and Education for College Students
3.3 Quality and Stability of Psychoeducation Evaluated by Factor Analysis
4 Conclusion
References
Comparing Different Deep Learning Models with a Novel Model for COVID-19 and Pneumonia Classification Using Chest X-Ray Images
1 Introduction
2 Background and Literature
2.1 Background
2.2 Exploring DL Structures for Detecting COVID-19 in Chest X-Ray Images
2.3 DL Techniques in Medical Imaging
2.4 Datasets for COVID-19 Chest X-Ray Detection
2.5 Literature Work
2.6 Objectives
2.7 Imbalanced Data-Set Handling
3 Methods
3.1 Handling Imbalanced Datasets
3.2 Convolution Network Model
4 Proposed-Method
4.1 Data-Partition
5 Results-Discussion
5.1 Summary of the Results
5.2 Validation-Test-Results
6 Conclusion of the Work
References
A Deep Learning-Based Classification Framework for Annotated Histopathology Lung Cancer Images
1 Introduction
2 Related Work
3 Used Dataset
4 Proposed Deep Learning Approach
5 The Experimental Work and Results
6 Conclusions
References
Energy and Power Control
CO2 Emission Mitigation in Container-Based Cloud Computing by the Power of Resource Management
1 Introduction
2 Related Work
2.1 Hypervisor vs Container-Based Cloud
2.2 Enabling Technologies for Containers
2.3 Containerization Management to Mitigate CO2 Emissions
3 Proposed Power-Aware Container Scheduler (PACS)
4 Results and Evaluations
5 Conclusion
References
Research on Fully Integrated Digital Control Power Management Chip System Based on FPGA
1 Introduction
2 Related Concepts
2.1 Mathematical Description of FPGA Methods
2.2 Selection of Chip Scheme
2.3 Analysis of Power Management Schemes
3 Optimization Strategies for Integrated Digital Control Systems
4 Practical Examples of Integrated Digital Control Systems
4.1 Power Management Briefing
4.2 Integrated Digital Control System Situation
4.3 Power Management Chip and Stability
5 Conclusion
References
Design of Power Intelligent Auxiliary Control and Monitoring System Based on IoT 3D Image Processing Technology
1 Introduction
2 Related Work
2.1 Design of 3D Point Cloud Filtering Technology
2.2 Design of 3D Point Cloud Segmentation Technology
3 Intelligent Auxiliary Control of Power Based on IoT 3D Image Processing Technology
4 Results and Discussion
5 Conclusion
References
On the Interplay Between Self-adaptation and Energy Efficiency
1 Introduction
2 Problem Space
2.1 Background
2.2 Related Work
3 Design
3.1 Requirements
3.2 Simdex Environment
3.3 Monitoring Mechanism
4 Evaluation
4.1 Metrics
4.2 Independent and Confounding Variables
4.3 Results
5 Discussion and Concluding Remarks
References
Data Mining, Decision Making, and Intelligent Systems
Evolutionary Algorithms and Their Applications in Intelligent Systems
1 Introduction
2 Evolutionary Algorithms
3 Popularity of Evolutionary Algorithms in Intelligent Systems
4 Applications of Evolutionary Algorithms in Intelligent Systems
5 Conclusion
References
An Artificial Intelligent-Based System for Crop Yield Prediction Using Climate Change Data and Sensor Fusion
1 Introduction
2 Literature Review
3 Model Comparison and Choice
4 The Proposed Framework
5 Results
6 Conclusion
References
Data Fusion for Improved Stock Closing Price Prediction: Ensemble Regression Approach
1 Introduction
2 Proposed Approach
2.1 Data Gathering
2.2 Data Preprocessing
2.3 Sentiment Analysis
2.4 Thresholding
2.5 Ensemble Regression Model
3 Results and Discussion
4 Conclusion and Future Work
References
The Impact of Data Normalization on KNN Rendering
1 Introduction
2 Literature Review
3 K-Nearest Neighbor Classifier (K-NN)
4 Experimental Setup
4.1 Datasets
4.2 Normalization Methods
5 Results and Discussion
6 Conclusions and Future Work
References
Full Personalized Learning Path Recommendation: A Literature Review
1 Introduction
2 Theoretical Background
2.1 Recommender System
2.2 Learning Path
3 Related Works
4 Evaluation of the Learning Path Recommender System
4.1 Online Evaluation
4.2 Offline Evaluation
5 Challenges and Discussions
5.1 Personalization
5.2 Content Coverage
5.3 Data Quality
6 Conclusion
References
Research on the Influence of Recommendation and Reward System on Customer Online Comment Behavior
1 Introduction
2 Basic Theoretical Research
2.1 Self-determination Theory
2.2 Social Theory
2.3 Word-of-Mouth Research
2.4 Referral Rewards
2.5 Online Comments
3 Models and Assumptions
3.1 Build a Model
3.2 Propose Hypothesis
4 Research Design
5 Data Analysis
5.1 Analysis of the Results of the Questionnaire
5.2 Hypothesis Testing and Analysis
6 Conclusion
References
Machine Learning Algorithms for Gold Price Prediction
1 Introduction
2 Related Works and Methods
2.1 Linear Regression
2.2 Support Vector Regression (SVR)
2.3 Neural Network
2.4 Decision Tree
2.5 Gaussian Process Regression
2.6 Random Forest Regression
3 Experimental Results and Discussion
4 Conclusion
References
Numerical Similarity Measures Versus Jaccard for Collaborative Filtering
1 Introduction
2 Literature Review
3 Methodology
4 Results
5 Conclusions and Future Works
References
Research on the Application of Computer Intelligence Technology in Cost Accounting and Financial Management
1 Introduction
2 Mathematical Description of the genetic Algorithm
3 Optimization-Based Genetic Algorithm for Cost Accounting and Financial Management
4 Practical Examples of Cost Accounting and Financial Management
5 Conclusion
References
Exploring Factors that Drive FinTech Adoption in Jordan
1 Introduction
2 Literature Review
2.1 Perceived Ease of Use
2.2 Financial Risks
2.3 Privacy Risks
2.4 FinTech Usage Behavior
3 Methodology
3.1 Research Model
4 Data Analysis and Findings
4.1 Demographic Analysis
4.2 Results of Hypotheses Testing
5 Discussion and Conclusion
5.1 Discussion
5.2 Theoretical Implications
5.3 Practical Implications
6 Conclusion
References
Exploration of the Training Mode of Application-Oriented Engineering Management Talents Based on the Goal of Innovation and Entrepreneurship
1 Introduction
2 Related Concepts
2.1 Mathematical Description of Big Data Algorithms
2.2 Selection of Entrepreneurship Programs
2.3 Analysis of Talent Comprehensive Quality Evaluation Program
3 Optimization Strategy of Innovation and Entrepreneurship Guidance Service System for College Students
4 Practical Cases of College Students’ Innovation and Entrepreneurship Guidance Service System
4.1 Introduction to the Comprehensive Quality Evaluation of Talents
4.2 The Situation of the Innovation and Entrepreneurship Guidance Service System for College Students
4.3 Entrepreneurial Ability and Stability of Talent Comprehensive Quality Evaluation
5 Conclusion
References
Research on the Commercial Operation Mode of Electric Vehicle Charging Pile Facilities Based on Genetic Algorithm
1 Introduction
2 Related Concepts
2.1 Mathematical Description of Genetic Algorithm
2.2 Choice of Business Model
2.3 Processing of Operating Models
3 Optimization Strategy for the Development of Charging Piles
4 Business Model Selection Case of Electric Vehicle Charging Pile Facilities
4.1 Electric Vehicle Charging Pile Facilities
4.2 Development of Electric Vehicle Charging Piles
4.3 Accuracy and Stability of Operating Model Selection
5 Conclusion
References
Bladder Cancer Microarray Analysis and Biomarker Discovery Using Machine Learning
1 Introduction
2 Related Work
3 Dataset and Implemented Method
3.1 Dataset
3.2 Methodology
3.3 Enrichment Analysis
4 Experimental and Results
5 Conclusions
References
Robotic and Control Applications
Autonomous Robot Navigation and Exploration Using Deep Reinforcement Learning with Gazebo and ROS
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Global Navigation
3.2 Local Navigation
3.3 Mapping and Exploration
4 Results and Discussion
5 Conclusion
References
Building Your Own Geminoid: A DIY Guide to Creating an Affordable Social Robot
1 Introduction
2 Theory and Related Works
2.1 Geminoid
2.2 Sophia
2.3 Furhat Robot
2.4 Eva Robot
2.5 Uncanny Valley
3 Implementation
3.1 Refactoring
3.2 Assembly
4 Result
5 Conclusion
6 Future Work
References
The Internet of Robotic Things: A Review of Concept, Challenges and Applications
1 Introduction
2 Literature Review
2.1 Autonomous Supply Chain
2.2 Healthcare
2.3 Personal Robots
2.4 Physical Security and Monitoring
2.5 Automated Vehicles
3 A Cloud Robotics Overview
4 Internet of Robotic Things
4.1 IoRT Architectures
5 Challenges
6 Conclusion
References
Virtual Control System for Presentations by Real-Time Hand Gesture Recognition Based on Machine Learning
1 Introduction
2 MediaPipe Framework
3 Proposed System
4 Results and Discussion
5 Conclusion and Future Work
References
Health Informatics
Soft Computing Framework for Digital Healthcare System
1 Introduction
2 Fuzzy Mathematical Preliminaries [11]
2.1 Mathematical Description of a Data Mining Algorithm
3 Cluster Based Fuzzy Data Mining Model
4 Fuzzy Data Mining Model Using Relational Databases
5 Benefits of the Proposed Method
5.1 Extraction of Realistic Hidden Patterns
5.2 Outlier Analysis
5.3 Fuzzy Relational Databases
6 Conclusion
References
Quantum Optimized AlexNet for Histopathology Breast Image Diagnosis
1 Introduction
2 Literature Review
3 Dataset Description
4 The Proposed Quantum Optimized AlexNet Approach
4.1 The Data Preprocessing Phase
4.2 The Quantum-Optimized AlexNet Phase
5 Experimental Results and Discussion
6 Conclusion
References
Quantumedics: Brain Tumor Diagnosis and Analysis Based on Quantum Computing and Convolutional Neural Network
1 Introduction
2 Proposed System: Quantumedics
2.1 Data Preprocessing Phase
2.2 Image Classification-Based on QCNN Phase
2.3 Tumor Extraction and Analysis Phase
3 Experimental Results and Discussion
4 Conclusion
References
Automated Diagnoses Glaucoma Approach in Retinal Fundus Images Using Support Vector Machine
1 Introduction
2 Previous Works
3 Proposed Method
3.1 Superpixel Method
3.2 Feature Extraction
3.3 Feature Selection
3.4 Classification and CDR Computation
4 Experiments and Results
4.1 Dataset Description
4.2 Experiments
5 Conclusions and Future Work
References
Improving Machine Learning Techniques with Imbalanced Data Treatment for Predicting Diabetes*-4pt
1 Introduction
2 Literature Review
3 Diabetes Datasets
4 Proposed Prediction Model
4.1 Preprocessing Dataset
4.2 Feature Selection
4.3 Handling Imbalanced Data
5 Results and Analysis
6 Conclusion
References
Federated Learning Assisted Covid-19 Detection Model
1 Introduction
1.1 Legal and Ethical Issues
1.2 Background and Motivation
1.3 The Need for FL over ML
2 Design Searching Strategy
2.1 Data Collection and Analysis of Some Available COVID-19 Datasets
3 Results and Discussion
4 Limitations of the Current Study
5 Conclusion and Future Research Directions
References
Early Diagnosis of Parkinson’s Disease Using Hand Drawings Images
1 Introduction
2 Literature Review
2.1 Traditional Algorithms
2.2 Deep Learning Models
3 Datasets
3.1 The HandPD Dataset
3.2 The NewHandPD
4 Evaluation Metrics
5 Methods and Experimental Results
5.1 Methods
5.2 The Achieved Results
6 Conclusion
References
Security and Communications
A Multi-service Adaptive LTE Uplink Scheduler Based on Reservation for Machine -to- Machine Communication
1 Introduction
2 Uplink Packet Scheduler for LTE Network
3 Proposed LTE Uplink Scheduler based on Reservation Adaption of Resources for M2M
4 Evaluation and Experimental Results
4.1 Simulation Environments
4.2 Simulation Results
5 Conclusion
References
Optimized Helical Antenna for Wireless Application at 2.4 GHz Using Gray Wolf Optimizer
1 Introduction
2 System Model
2.1 Helical Antenna Design
2.2 Gray Wolf Optimization Algorithm
3 Result Analysis and Simulation
3.1 Reflection Confection
3.2 Radiation Pattern
4 Conclusion
References
Latin Square and Artificial Intelligence Cryptography for Blockchain and Centralized Systems
1 Introduction and Related Work
2 CipherInCipher
3 Implementation and Security Validation
3.1 Implementation
3.2 Mathematical Analysis and Proofs of Utilizing Latin Square
3.3 Centralized, Decentralized, and Hybrid System
3.4 Artificial Intelligence and Machine Learning Cryptanalysis-Based
4 Conclusion
References
Egyptian Intention Behavior to Use Bitcoin Based on the Unified Theory of Acceptance and Use of Technology
1 Introduction
2 Previous Studies
2.1 Bitcoin Previous Studies
2.2 Consumer Intention Behavior Previous Studies
3 Research Methodology
4 Statistical Analysis and Results
4.1 Reliability Test
4.2 Chi-Square Test
4.3 Pearson Correlation Test
4.4 Discussion of Results
5 Conclusion and Future Work
References
Image and Video Processing
Three-Dimensional Photometric Stereo Reconstruction By shadow Elimination
1 Introduction
2 3D Reconstruction by Shadow Elimination
3 Nos Contributions
4 Shading Elimination Using Surface Orientation
5 Experiments
6 Conclusion
References
Machine Learning for Fog Computing: Perceiving QoE for IoT Applications
1 Introduction
2 QoE of IoT Applications in the Fog Computing Environment
2.1 IoT Application Architecture
2.2 Container-Based IoT Microservices on the Fog Computing Environment
2.3 Quality of Experience Evaluation in IoT Applications
2.4 Machine Learning Enablement of IoT
3 Machine Learning Enablement for Perceiving IoT Applications QoE
4 Conclusion
References
Stress Detection Using Horror Video Game and Machine Learning Algorithms
1 Introduction
2 Literature Survey
3 Proposed Stress Detection Model
4 Experimental Results and Discussion
5 Conclusion
References
Lightweight Mask Wearing Detection Algorithm Based on Improved YOLOv5
1 Introduction
2 Theory
2.1 YOLOv5m Model Structure
2.2 Deformable Convolution
3 Experiment
3.1 Backbone Network Optimization Design
3.2 Improved Deformable Convolution
3.3 Model Lightweight Design
3.4 Image Defogging
4 Experimental Results
4.1 Main Dataset Introduction, Evaluation Metric
4.2 Analysis of Results
5 Conclusion
References
Facial Expression Recognition Based on Fused Features and Support Vector Machine
1 Introduction
2 Related Work
3 Implementation
3.1 Pre-processing
3.2 Hog Feature Extraction
3.3 Wavelet Feature Extraction
3.4 Key-Points Feature Extraction
3.5 A Subsection Sample
3.6 Classification
4 Experiment and Analysis
5 Conclusion
References
Research on Multimodal Retrieval Method Based on Commodity Images
1 Introduction
2 Framework Structure of Multimodal Retrieval Method
2.1 The Significance of Commodity Image Retrieval
2.2 Feature Extraction
2.3 Feature Fusion
2.4 Similarity Measurement
2.5 Evaluating Indicator
2.6 Model Structure Diagram
3 Matrix Processing of Polynomial Regression Model Based on Hash Transformation
3.1 Advantages and Ideas of the Linear Regression Model
3.2 Problems and Improvement Ideas of the Linear Regression Model
3.3 Mathematical Description
4 Experiments and Results
4.1 Data Set Introduction
4.2 Experimental Result
5 Conclusion
References
Enhancing Children's Fire Safety Skills with Machine Learning-Powered Virtual Reality Training System
1 Introduction
2 Literature Survey
3 Dataset Description
4 Proposal Fire Training System
4.1 Front Part
4.2 Back Part
5 Experimental Results and Discussion
6 Conclusion
References
Performance Improvement of Breast Cancer Diagnosis Using Artificial Intelligence and Image Processing Techniques
1 Introduction
2 Literature Survey of Research
2.1 Step I: Pre-processing Process and Segmentation
2.2 Step II: Features Extraction
2.3 Step III: Classification
3 Proposed Method
3.1 Dataset
3.2 The First Proposed Method
3.3 The Second Proposed Method
4 Simulation Results and Discussion
4.1 Evaluation of the Machine Learning
4.2 Assessment of the Deep Learning Models' Performance
5 Conclusion
References
Author Index