دانلود کتاب Innovations in Smart Cities Applications Volume 7: The Proceedings of the 8th International Conference on Smart City Applications, Volume 2 (Lecture Notes in Networks and Systems, 938)

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Preface
Committees
Keynotes Speakers
Smart City: Why, What, Experience Feedback and the Future/Challenges
Imagining a Digital Competency Management Ecosystem Approach to Transforming the Productivity of People in the Built Environment
Challenges of Cybersecurity in Smart Cities
Advancing Urban Modelling with Emerging Geospatial Datasets and AI Technologies
Integrating System Dynamics in Digital Urban Twin
Background of Smart Navigation
Contents
Smart Agriculture
Plant Disease Classification and Segmentation Using a Hybrid Computer-Aided Model Using GAN and Transfer Learning
1 Introduction
2 Related Work
3 Proposed Methodology
3.1 Data Augmentation
3.2 Dataset Preprocessing
3.3 Leaf Segmentation
3.4 Model Building
4 Experiments and Results
4.1 Dataset
4.2 Performance Measures
4.3 Analysis of Experiments
5 Comparison with Existing Methods
6 Conclusion
7 Future Work
References
Water Amount Prediction for Smart Irrigation Based on Machine Learning Techniques
1 Introduction
2 Methodology
2.1 Data Source and Description
2.2 Data Pre-processing
2.3 Proposed Models
3 Experimental Study
3.1 Evaluation Metrics
3.2 Hyper-Parameter Tuning
3.3 Obtained Results
4 Discussion
5 Conclusion
References
Smart Irrigation System Using Low Energy
1 Introduction
2 Literature Survey
2.1 Data Collection
2.2 Data Processing
3 Analysis and Discussion
3.1 Analysis of Data and Results
3.2 Data Collected
3.3 Technologies Used
3.4 Discussion
4 Prototype of the Proposed System
4.1 Proposed Solution
4.2 Lora
4.3 Components
4.4 Description of the New System
5 Implementation and Testing
5.1 Working Steps
5.2 Mobile Application
5.3 Test of the New System
5.4 Critical Analysis
6 Conclusion
References
Smart Models
Advancing Crop Recommendation Systems Through Ensemble Learning Techniques
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset Description
3.2 Data Preprocessing
3.3 Classifier Models
4 Results and Discussion
5 Conclusion
References
Technology to Build Architecture: Application of Adaptive Facade on a New Multifunctional Arena
1 Introduction
2 Description of the Project
2.1 Case Study: Arena
2.2 Climate Analysis
2.3 Façade Requirements
3 Multifunctional Façade
3.1 Concept Idea
3.2 Kinetic Element Design
3.3 Parametric Modelling
3.4 System Components
4 Conclusions and Perspectives
References
Effectiveness of Different Machine Learning Algorithms in Road Extraction from UAV-Based Point Cloud
1 Introduction
2 Material and Methods
2.1 UAV-Based Point Cloud
2.2 Machine Learning Models
3 Experimental Study
4 Results and Discussion
5 Conclusion
References
A Comparative Analysis of Memory-Based and Model-Based Collaborative Filtering on Recommender System Implementation
1 Introduction
2 Literature Review
2.1 Types of Recommender Systems
2.2 Recommender System Challenges and Solutions
2.3 Recommender Systems Evaluation
3 Case Study: SVD and KNN RS Netflix Dataset
3.1 Research Methodology
3.2 Results and Analysis
4 Conclusion and Future Work
5 Limitations and Future Work
References
Critical Overview of Model Driven Engineering
1 Introduction
2 Model Driven Engineering Concepts
2.1 System
2.2 Model
2.3 Meta Model
2.4 Modelling Language
2.5 Software Products, Platforms and Transformations
3 Discussion
3.1 Areas of Advancements for MDE
3.2 Challenges to MDE Adoption
3.3 Enhancement of MDE with AI
4 Conclusion
References
A Synthesis on Machine Learning for Credit Scoring: A Technical Guide
1 Introduction
2 Literature Review
3 Experiments Setup
3.1 Software and Hardware
3.2 Data Description
3.3 Data Prepossessing and Splitting
3.4 Trial-and-Error Approach
3.5 Evaluation Metrics
4 Results and Discussions
5 Conclusion
References
Enhancing Writer Identification with Local Gradient Histogram Analysis
1 Introduction
2 Datasets
3 Methodology
3.1 Local Gradient Histogram (LGH)
3.2 Vector of Locally Aggregated Descriptors (VLAD)
4 Experimental Study
4.1 Impact of the Fragment Size
4.2 Impact of the LGH Dimension
4.3 Impact of the Number of Clusters
4.4 Comparison with State of Art
5 Conclusion
References
Solving a Generalized Network Design Problem Using Hybrid Metaheuristics
1 Introduction
1.1 Local Search Metaheuristics
1.2 Constructive Metaheuristics
1.3 Population-Based Metaheuristics
2 Related Works
2.1 The Multicommodity Capacitated Fixed-Charge Network Design Problem (MCNDP)
2.2 The Generalized Discrete Cost Multicommodity Network Design Problem (GDCMNDP)
3 Problem Formulation
4 Hybrid Metaheuristic for the GDCMNDP
4.1 Generation of an Initial Solution
4.2 Generation of a Neighboring Solution
5 Computational Results
5.1 Instances Characteristics
5.2 Parameter Settings and Results
6 Conclusion
References
Isolated Handwritten Arabic Character Recognition Using Convolutional Neural Networks: An Overview
1 Introduction
2 Background
2.1 IHAC Recognition: Characteristics and Challenges
2.2 Convolutional Neural Networks
3 Literature Review
3.1 Shallow CNN Architectures
3.2 Deep CNN Architectures
3.3 Hyperparameter Fine-Tuning
3.4 Hybrid Architectures
3.5 Transfer Learning
4 Analysis and Discussion
5 Conclusion
References
A New Approach for Quantum Phase Estimation Based Algorithms for Machine Learning
1 Introduction
2 Quantum Phase Estimation
3 Proposed Improvements for Quantum Phase Estimation
4 A New Approach for QPE Based Algorithms for Machine Learning
5 Conclusion
References
Model Risk in Financial Derivatives and The Transformative Impact of Deep Learning: A Systematic Review
1 Model Risk
1.1 Definition
1.2 Mitigating Model Risk in Derivatives Pricing
1.3 The Importance of Model Validation
2 The Recourse to AI to Reduce Model Risk
2.1 Conditional Expectations
2.2 Outperformance
2.3 Tree Methods as Function Approximators
2.4 Limitations of Tree Methods
2.5 Advanced Machine Learning Methods
3 Autocallable Notes
3.1 Introduction
3.2 Model Risk Precedents
3.3 Analysis
4 Conclusion
References
Digital Twins
Integrating Syrian Cadastral Data into Digital Twins Through Accurate Determination of Transformation Parameters
1 Introduction
2 Resources and Methods Used
2.1 Resources and Study Area
2.2 Methods Used
3 Experiment
4 Accuracy Assessment
5 Results and Discussion
6 Conclusions
References
Towards Linked Building Data: A Data Framework Enabling BEM Interoperability with Extended Brick Ontology
1 Introduction
2 Method Proposal: A Data Framework for BEM Interoperability
2.1 BEM Model
2.2 Brick Extension
2.3 BEM to Brick
2.4 Consistency Check
2.5 Graph Data and Time Series Storage
3 Experimentations
4 Discussion
5 Conclusion
References
Digital Twin for Construction Sites: Concept, Definition, Steps
1 Introduction
2 Objective
3 Digital Twin Challenges
4 Construction Industry
5 Steps of Digitalizing a Construction Site
5.1 Collecting Data for the Existing Buildings, Topography, and Site Layout
5.2 Drawing the 3D Model
5.3 Incorporate Design Data
5.4 Simulate the Construction Process
5.5 Monitor Progress in Real Time
5.6 Use Virtual Reality (VR) and Augmented Reality (AR)
5.7 Continuously Update the Model to Ensure that the Model Remains Accurate and Up-To-Date
6 Conclusion
References
Towards Digital Twins in Sustainable Construction: Feasibility and Challenges
1 Introduction
2 Digital Twins Applications in Climate Change and Reducing CO2 Emissions
3 Digital Twins and IoT Solutions for Energy Saving and the Sustainable Construction
4 Conclusion
References
Digital Twin Architectures for Railway Infrastructure
1 Digital Twin in Literature
1.1 Milestones in the Development of Digital Twins
1.2 Five-Dimensional Digital Twin Model
2 Digital Twin Architectures
2.1 The Cyber-Physical Perspective
2.2 Cyber-Physical Approach for Railway Infrastructure
3 Framework
3.1 Overview of the Architecture
4 Case Study: The Proposed Architecture Application for an SNCF Réseau Project-GeoLidar
5 Conclusion
References
Seismic Digital Twin of the Dumanoir Earth Dam
1 Introduction
2 Dumanoir Dam
3 System Architecture of the Seismic Digital Twin
3.1 Data Acquisition Layer
3.2 Digital Modelling Layer
3.3 Data/Model Integration Layer
4 Data and Digital Modeling
4.1 Data Source
4.2 Digital Model
5 Conclusion and Perspective
References
Digital Twin Base Model Study by Means of UAV Photogrammetry for Library of Gebze Technical University
1 Introduction
2 Study Area
3 Methodology
3.1 Outdoor Modeling
3.2 Indoor Modeling
4 Results and Conclusion
References
Leveraging Diverse Data Sources for ESTP Campus Digital Twin Development: Methodology and Implementation
1 Introduction
2 Literature Review
3 Methodology
4 Data Collection and Implementation: ESTP Campus Case Study
4.1 ESTP Campus Description
4.2 Data Collection
4.3 Level of Granularity and LOD
4.4 Data Implementation
5 Results and Discussion
6 Conclusion
References
3D Models and Computer Vision
Road Traffic Noise Pollution Mitigation Strategies Based on 3D Tree Modelling and Visualisation
1 Introduction
1.1 Road Traffic Noise
1.2 Influence of Trees to Mitigate Road Traffic Noise Levels and 3D Tree Modelling
1.3 3D Road Traffic Noise Visualisation
1.4 Research Problem
2 Methodology
3 Results and Discussion
4 Conclusion
References
Exploring Google Earth Engine Platform for Satellite Image Classification Using Machine Learning Algorithms
1 Introduction
2 Related Work
3 Methodology
3.1 Study Area and Dataset
3.2 Data Preparation
3.3 Background Techniques
3.4 Accuracy Assessment
4 Results and Discussion
5 Conclusion
References
A Review of 3D Indoor Positioning and Navigation in Geographic Information Systems
1 Introduction
2 3D Indoor Positioning
3 3D Navigation Systems
4 Conclusion
References
Enhancing Smart City Asset Management: Integrating Versioning and Asset Lifecycle for 3D Assets Management
1 Introduction
2 Related Works
2.1 Smart City 3D Asset Management and Versioning
2.2 CityJSON Versioning
3 Conceptual Framework: Integrating Versioning and Asset Lifecycle Management for 3D Assets
4 Discussion and Conclusions
References
Image Transformation Approaches for Occupancy Detection: A Comprehensive Analysis
1 Introduction
1.1 Contribution
1.2 Article Organization
2 Related Works
2.1 Image Encoding Techniques
2.2 Found Limitations
3 Prominent Approaches
3.1 Adopted Grayscale-Based Method
3.2 Gramian Angular Field Images
4 Results and Discussion
4.1 Custom CNN
4.2 Performance Assessment
4.3 Comparative Analysis Between Approaches
4.4 Energy Saving Potential
5 Conclusion
References
Low-Cost Global Navigation Satellite System for Drone Photogrammetry Projects
1 Introduction
1.1 Drone Imagery
1.2 GCP’s and Digital Surface Models
2 Methodology
2.1 Area of Study
2.2 Drone Specifications and Flight Planification
3 Control Points Observations
4 Image Acquisition, Processing and Analysis
5 Results
6 Conclusion
References
3D Spatio-Temporal Data Model for Strata Management
1 Introduction
2 Strata Management
2.1 Incorporating Spatial and Temporal Aspects of Data in Strata Management
2.2 3D Data and Strata Management
3 Temporal Database Types and Approaches
4 3D Spatio-Temporal Strata Management Data Model
5 Discussion
6 Conclusion
References
Investigating Wind-Driven Rain Effects on Buildings with 3D City Building Models: An Analysis of Building Complexity Using Computational Fluid Dynamics
1 Introduction
2 Methodology
3 Result and Discussion
4 Conclusion
References
Wildfire Detection from Sentinel Imagery Using Convolutional Neural Network (CNN)
1 Introduction
2 Methods
2.1 Data Collection
2.2 CNN Model Development
2.3 Performance Evaluation
3 Result and Discussion
4 Conclusion
References
3D Spatial Queries for High-Rise Buildings Using 3D Topology Rules
1 Introduction
2 Methodology
2.1 36IM Topology Rules Implementation
2.2 3D Spatial Queries
3 Experimental Results and Discussion
4 Conclusion
References
Smart Learning Systems
Data Analysis and Machine Learning for MOOC Optimization
1 Introduction
2 Related Work
3 Methodology
3.1 Database
3.2 Models
4 Results and Discussion
4.1 Results
4.2 Discussion
5 Conclusion and Outlook
References
Using Machine Learning to Enhance Personality Prediction in Education
1 Introduction
2 Background
2.1 Innovative Learning Techniques and Methods
2.2 Machine Learning
3 Review of Personality Theories
3.1 Theory of Vocational Personalities
3.2 The Big Five Model Theory
4 Related Work in Personality Prediction
5 Theoretical Framework and Contribution
6 Conclusion
References
Smart Education in the IoT: Issues, Architecture, and Challenges
1 Introduction
2 Smart Education Issues and Benefits
2.1 IoT in the Education
2.2 Smart Education Benefits
3 Smart Education Challenges
4 Smart Education Architecture and Framework
4.1 IoT-Based Smart Education Architecture
4.2 Smart Education Farmwork
5 Conclusion
References
Enhancing Book Recommendations on GoodReads: A Data Mining Approach Based Random Forest Classification
1 Introduction
2 Related Work
3 Research Methodology
3.1 Dataset
3.2 Methodology
4 Results and Discussion
4.1 Comparative Analysis of Random Forest Algorithm in Recommendation Systems
5 Conclusions and Suggestions
References
Reinforcement Learning Algorithms and Their Applications in Education Field: A Systematic Review
1 Introduction
2 State of the Art
2.1 Personalized Learning
2.2 Adaptive Tutoring Systems
2.3 Intelligent Assessment and Feedback
3 Discussion
4 Conclusion
References
Machine Reading Comprehension for the Holy Quran: A Comparative Study
1 Introduction
2 Related Works
3 Interpretation and Comparison Between the Models
3.1 BERT Methodology and Interpretation
3.2 CL-AraBERT Methodology and Interpretation
3.3 Model Based on Many BERT Architectures
4 Results and Discussion
5 Conclusion and Future Work
References
Author Index