The book is a collection of best selected research papers presented at the Third World Conference on Internet of Things: Applications & Future (ITAF 2023) organized by Global Knowledge Research Foundation in Cairo during February 4â5, 2023. It includes innovative works from researchers, leading inno
Green Sustainability: Towards Innovative Digital Transformation: Proceedings of ITAF 2023
â Scribed by Dalia Magdi (editor), Ahmed Abou El-Fetouh (editor), Mohamed Mamdouh (editor), Amit Joshi (editor)
- Publisher
- Springer
- Year
- 2023
- Tongue
- English
- Leaves
- 386
- Series
- Lecture Notes in Networks and Systems; 753
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
⌠Synopsis
The book is a collection of best selected research papers presented at the Third World Conference on Internet of Things: Applications & Future (ITAF 2023) organized by Global Knowledge Research Foundation in Cairo during February 4â5, 2023. It includes innovative works from researchers, leading innovators, business executives, and industry professionals to examine the latest advances and applications for commercial and industrial end users across sectors within the emerging Internet of things ecosphere. It shares state-of-the-art as well as emerging topics related to Internet of things such as big data research, emerging services and analytics, Internet of things (IoT) fundamentals, electronic computation and analysis, big data for multi-discipline services, security, privacy and trust, IoT technologies, and open and cloud technologies.
⌠Table of Contents
Preface
Contents
Editors and Contributors
Digital TransformationâEcosystems, Banking and Financial Services
Assessment of the Level of Environmental and Economic Sustainability of Subjects of the Public Sector of the Countryâs Economy
1 Introduction
2 Literature Review
3 Materials and Methods
4 Results
5 Summary and Conclusion
References
A Suggested Index of Green Finance Availability: The Case of Egypt
1 Introduction
2 Literature Review
3 Data Description and Developing Hypotheses
4 Testing Hypotheses
5 Results and Concluded Remarks
Appendix: Pillars of the Research Dimensions
References
Corporate Financial Performance Prediction Using Artificial Intelligence Techniques
1 Introduction
2 Financial Performance Prediction
2.1 Importance of Financial Performance Prediction
2.2 Types of Financial Performance Prediction Models
3 An Overview of Artificial Intelligence
3.1 Digital Transformation
3.2 The Concept of Artificial Intelligence and Its Role in Financial Prediction
3.3 The Benefits of Using Artificial Intelligence in Business [13]
3.4 Machine Learning
4 Predicting Corporate Financial Performance Using Artificial Intelligence Techniques in a Digital Transformation Environment
5 Conclusion
References
Strategic Measures and Alternatives to Ensure the Financial Security of Machine-Building Enterprises
1 Introduction
2 Literature Review
3 Materials and Methods
4 Results
5 Summary and Conclusion
References
Digital Transformation as a Tool for Implementation of the âGreen Dealâ Concept in the National Economy of Ukraine
1 Introduction
2 Literature Review
3 Materials and Methods
4 Results
5 Summary and Conclusion
References
Digital Transformation Cloud Computing and Mobility
Intelligent Mechanism for Virtual Machine Migration in Cloud Computing
1 Introduction
2 Background of Cloud Computing
2.1 Cloud Computing Types
2.2 Services of Cloud Computing
2.3 Challenges of Cloud Computing
3 Virtual Machine Migration
3.1 Types of Virtual Machine Migration
4 Virtual Machine Live Migration Metrics
5 Scientific Efforts on Live Migration Cloud Computing
6 Future Work Directions
7 Conclusion
References
Blockchain Technology to Enhance Performance of Drugs Supply Chain in the Era of Digital Transformation in Egypt
1 Introduction
2 Related Work
3 Research Methodology
3.1 Technical Background
3.2 Proposed IoT and Blockchain-Based Drug Supply Chain (IBDSC) Architecture
4 Implementation and Discussion
5 Conclusion
References
Governance Model for Cloud Computing Service
1 Introduction
2 Background
3 Related Work
3.1 Concerns in Cloud Computing
3.2 Service Level Agreement Articles
3.3 Governance in Cloud Computing
4 Proposed Model
4.1 Main Resources
4.2 Main Risks
4.3 Model Components
4.4 Proposed Model Evaluation
5 Conclusion and Future Work
References
Digital Healthcare: Reimagining Healthcare With Artificial Intelligence
Assessing and Auditing Organizationâs Big Data Based on COBIT 5 Controls: COVID-19 Effects
1 Introduction
2 Literature Review
2.1 Big Data Maturity Models
2.2 Auditing Big Data Life Cycle
3 Contribution
3.1 Proposed Integrated Maturity Model
3.2 Proposed Auditing Approach
4 Case Study: Applying the Proposed Auditing Approach to Medical Organization/Institute
5 Approach Evaluation
6 Big Data Maturity and Auditing Tool: A Prototype
6.1 Build BMA: AÂ Prototype Tool
6.2 Evaluating BMA Tool Scores
7 Conclusion and Future Work
References
Feature Selection in Medical Data as Coping Review from 2017 to 2022
1 Introduction
1.1 Feature Selection
1.2 Medical Data
2 Literature Review
3 Conclusions
References
Machine Learning for Blood Donors Classification Model Using Ensemble Learning
1 Introduction
2 Related Work
3 Dataset
4 Methods
5 Proposed Method
6 Results and Discussion
7 Conclusion
References
Machine Learning and Artificial Intelligence
The Effect of Buyer Churn Factors on Buyerâs Loyalty Through Telecommunication Service Providers in Egypt
1 Introduction
2 Problematic Contention
3 Literature Review
4 The Exploration Plan
5 Hypothesis Testing
6 Dissection
References
Plant Disease Detection and Classification Using Machine Learning and Deep Learning Techniques: Current Trends and Challenges
1 Introduction
2 Research Methodology
2.1 Search Keywords
2.2 Data Sources
2.3 Article Inclusion/Exclusion Criteria
2.4 Article Selection
3 Plant Disease Detection and Classification
3.1 Machine Learning-Based Detection
3.2 Deep Learning-Based Detection
4 Performance Evaluation Metrics
5 Existing Challenges
6 Conclusion
References
A Review for Software Defect Prediction Using Machine Learning Algorithms
1 Introduction
2 Background
2.1 Software Defect Life Cycle
2.2 Software Defect Prediction
2.3 Software Metrics
2.4 Machine Learning Algorithms
3 Supervised Learning
3.1 Support Vector Machine (SVM)
3.2 Decision Tree (DT)
3.3 Random Forest
4 Unsupervised Learning
4.1 K-Means Clustering
4.2 Principal Component Analysis (PCA)
4.3 Deep Learning
5 Related Work
6 Literature review
7 Conclusion
References
Using Machine Learning Techniques in Predicting Auditor Opinion: Empirical Study
1 Introduction
2 Related Work
2.1 Research Gap
2.2 Research Motivation
3 Methodology
3.1 The Dataset
3.2 Variables
3.3 Classification Algorithms Used in Analysis
4 Analysis of Data and Results
4.1 Machine Learning Techniques Results
4.2 Traditional Methods Results
5 Comparison Between Machine Learning Techniques and Traditional Methods Results
6 Summary and Conclusions
References
A Comparative Study of Features Selection in the Context of Forecasting PM2.5 Concentration
1 Introduction
2 Methodologies
2.1 Data Preprocessing
2.2 Features Selection
2.3 Modelling
2.4 Models Training and Testing
2.5 Evaluation Metrics
3 Results and Discussions
4 Conclusion
References
Effective E-commerce Based on Predicting the Level of Consumer Satisfaction
1 Introduction
2 Related Work
3 Proposed Model
3.1 Data Set
3.2 Methodology
3.3 Data Preprocessing
3.4 Exploratory Data Analysis (EDA)
3.5 Feature Engineering
3.6 Apply Classification Algorithms
4 Results and Discussion
4.1 Model Optimization
4.2 Feature Selection
4.3 Resampling
4.4 Key Drivers of Customer Satisfaction
5 Conclusion
6 Future Work
References
Digital Transformation: Network Infrastructure
An HBM3 Processing-In-Memory Architecture for Security and Data Integrity: Case Study
1 Introduction
2 Background and Related Work
3 HBM3 and Applications
4 AES and CRC Fundamentals
5 Experimental Design
5.1 HBM3 State Diagram Extension
5.2 HBM3-PIM Architecture
5.3 Performance Evaluation
6 Conclusion
References
Improving Digital Agriculture to Achieve Sustainable Development: Analysis and Policy Proposals
1 Introduction
2 Literature Review
3 Materials and Methods
4 Results
5 Summary and Conclusion
References
Cramer-Rao Bound Investigation of the Double-Nested Arc Array Virtual Extension and Butterfly Antenna Configuration
1 Introduction
1.1 Notation
2 Co-Array Structure and Signal Concept
2.1 Signal Model and Preliminaries
3 Fourth-Order Statistics
3.1 Distribution Concept of the Virtual Array
3.2 Extended Cumulant-Based Virtual Sensor Localization for Physical Sensor mathcalM3arc1 ell2
4 Configuration Specification
5 Constraints on the Physical Arcâs Geometry
6 Cramer-Rao Bound in the Fourth-Order Cumulant Domain
7 Observation and Detection
8 Simulation Results
9 Results from the Numerical Substitution of Sensors Location
9.1 Applying on a Single Nested Arc
10 Numerical Substitution for the Locations of the Double-Nested Arcs Arrays and Their Virtual Extension Forming the Virtual Butterfly Antenna
10.1 Symmetric Non-uniform Double-Nested Arc Arrays
10.2 Non-uniform Double-Nested Arc Arrays
10.3 Double-Nested Arc Arrays Where One is Multiple (Double) of the Other
10.4 Double Symmetric Uniform Arc Array
11 Illustration for the CRB Comparison between Different Double-Nested Arc Array Configurations
12 Conclusion
Appendix
Direct and Fast Virtual Sensor Localization
Extended Cumulant-Based Virtual Sensors Localization for the Physical Sensor mathcalM5origin
References
Energy Security of Ukraine in General and in the Field of Electric Power: Theory and Reality
1 Introduction
2 Methodology
3 Results and Discussion
4 Conclusions
References
Digital Transformation Technologies
An Ontology-Based Customer Relationship Management Model for Educational Institutions Using Service-Oriented Architecture
1 Introduction
2 Scientific Background
2.1 Service-Oriented Architecture (SOA)
2.2 Customer Relationship Management (CRM)
2.3 Introducing Ontology
3 Related Work
4 The Proposed Model
5 Business Process Management (BPM)
6 CRM Based on Ontology
6.1 Ontology Visualization
7 Conclusion
References
Use of the Semantic Wiki Resources for Open Science Support
1 Open Science and Data Representation
2 Problem Formulation
3 Wiki Ontologies as an Instrument of Knowledge Formalization
4 Semantic Wiki Resources and FAIR
5 Typical Information Objects of Open Science
6 Typical Information Objects of Open Science
7 Summary
References
Framework Development for Testing Automation of Web Services Based on Python
1 Introduction
2 Method Review
3 Results and Discussion
4 Conclusions
References
Author Index
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