International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023)

Name: International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023) | Advanced Intelligent Systems on Energy, Environment and Agriculture, Volume 1
Brand: Springer
Price: 203.29 EUR
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Advanced Intelligent Systems on Energy, Environment and Agriculture, Volume 1

Mostafa Ezziyyani Janusz Kacprzyk Valentina Emilia Balas(Editor)

Springer (Publisher)

1st Edition

Published on 20. February 2024

XII, 428 pages

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978-3-031-54318-0 (ISBN)

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This book is a comprehensive compilation of groundbreaking insights stemming from the esteemed International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), hosted at Cadi Ayyad University Morocco. Focused on the crucial themes of energy, environment, agriculture, and industry, this book captures the essence of transformative discussions and cutting-edge research that unfolded during the conference.

Within these pages, readers are invited to explore the intricate world of intelligent systems, where innovation converges to tackle the key challenges of sustainability. The book immerses its audience in a wealth of knowledge that deeply represents the latest advancements shaping the future landscape.

Diverse topics are intricately woven into the fabric of this discourse, covering AI-driven solutions designed for energy optimization, environmental sustainability, precision agriculture, and intelligent industry applications. Each contribution serves as a testament to the collaborative efforts of researchers, practitioners, and experts who gathered to drive innovation at the intersection of intelligent systems and sustainable development.

Crafted as an invaluable resource, 'Advancements in Intelligent Systems: AI2SD'2023 Proceedings' caters to a diverse readership eager to delve into the forefront of trends and developments emerging from the crossroads of advanced intelligent systems in energy, environment, agriculture, and industry. Whether you're a researcher, practitioner, or enthusiast, unlock the transformative potential inherent in these innovative domains.

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Content

Intro
Preface
Acknowledgements
Contents
A New Mycorrhizal Association of Quercus Suber (Morocco): Lactarius Glaucescens Crossl., 1900
1 Introduction
2 Problematic
3 Methodology
4 Solution
5 Conclusion
References
A Review of the Endemic Plants of Asteraceae Family in Morocco: Use the Artificial Intelligence for the Conservation
1 Introduction
2 Material and Methods
3 Results and Discussion
4 Conclusion
References
A Web3 Model Boosted by IoT and Machine Learning to Bring Transparency and Sustainability to the Food Supply Chain
1 Introduction
2 Background
2.1 Food Supply Chain
2.2 Web3
2.3 Machine Learning
2.4 IoT Technology
3 Related Works
4 Proposed Solution
4.1 Model Requirements
4.2 Model Description
5 Experimental Implementation
5.1 Web3 Implementation
5.2 IoT and Machine Learning
6 Conclusion
References
Addressing Climate Change and Building Resilience in the Draa-Tafilalet Region
1 Introduction
2 Materials and Methods
2.1 Study Area
2.2 Data Compilation
3 Results
3.1 Future Climate Projections
3.2 Characteristics of Land Use Land Cover of Draa-Tafilalet Region
3.3 Policy Responses: Adaptation, Mitigation, and Resilience to Climate Change
4 Conclusion
References
AI-Driven Big Data Quality Improvement for Efficient Threat Detection in Agricultural IoT Systems
1 Introduction
2 Big Data Quality
3 Big Data Security
4 Related Works
5 AI-Based Big Data Quality Improvement for Efficient Threat Detection
6 Conclusion
References
An Overview of Simulation-Based Multi-objective Evolutionary Algorithms
1 Introduction
2 Simulation-Based Multi-objective Evolutionary Algorithms (SMOEAs)
2.1 Architecture of Simulation-Based MOEAs
2.2 Monte Carlo Simulation-Based MOEAs
2.3 Discrete Event Simulation-Based MOEAs
2.4 Hybrid Simulation-Based MOEAs
2.5 Cooperation Between Simulation Approaches and MOEAs
3 Applications of SMOEAs
4 Software Frameworks for SMOEAs Implementation
5 Conclusions
References
Analysis of the Variables Affecting the Adoption of Artificial Intelligence and Big Data Tools Among Moroccan Agricultural and Chemical Fertilizer Industry Firms: Research Model Development
1 Introduction
2 Theoretical and Conceptual Framework
2.1 Technology - Organization - Environment (TOE) Model
2.2 Technology Acceptance Model (TAM)
2.3 TAM-TOE Based Model
3 Theoretical Construction of the Research Model
3.1 Propositions Development - Variables and Hypotheses Formulation
3.2 The Initial Research Model
4 Exploratory Empirical Study
4.1 The Methodology
4.2 The Conduct of the Exploratory Study
4.3 The Results of the Exploratory Study
5 The Research Model Result of the Study
6 Conclusion
References
Ant Trajectory Planning with Multi-agents Collaboration and Computer Vision
1 Introduction
2 Problematic
3 Methodology
4 Solution
5 Simulation and Result
5.1 First Generation Result
5.2 Middle Generation Result
5.3 Final Generation Result
6 Conclusion
References
Development and Application of Electronic Differential Systems (EDS) for Enhanced Agricultural Machinery Performance
1 Introduction
2 Methodology
2.1 Systematic Review
2.2 Statement Analysis
3 Results
4 Interpretation
5 Conclusion
References
Monitoring and Assessment of Agricultural Dynamics in the Middle Sebou River by Using GIS (Morocco)
1 Introduction
2 Problematic
3 Methodology
4 Solution
4.1 Traditional Plowing
4.2 Irrigation and Agricultural Development Projects in the Floodplain Lands
4.3 Distribution of Irrigated Land and Bours (Non-irrigated)
4.4 The First Phase of the Development Project
4.5 The Second Phase of the Hydro-Agricultural Development Project
4.6 The Exploitation of Riverbed Deposits
5 Conclusion
References
Intelligent System for Forecasting Climate Deterioration and Assessing the Potential Impact of Pollutants
1 Introduction
2 Materials and Methods
2.1 Study Area
2.2 Sample Collection
3 Results and Discussions
3.1 Data Description
3.2 Data Analysis
3.3 Data Visualizations
4 Discussion
5 Conclusion
References
Floristic Diversity of the Wetland, Sidi Boughaba Biological Reserve, Kénitra, Morocc
1 Introduction
2 Materials and Methods
3 Results
4 Discussion
5 Conclusions
Appendix
References
IoT in Smart Farming: A Review
1 Introduction
2 Related Work
3 Methodology and Solution
3.1 Methodology
3.2 Solution
4 Discussion and Analysis
4.1 Importance of High-Performance Technologies and Future Research Directions
4.2 The Obstacles and Limitations of IoT in Farming
5 Conclusion
References
Leveraging Blockchain for Enhanced Traceability and Transparency in Sustainable Development
1 Introduction
1.1 Overview
1.2 Core Attributes of Blockchain Technology
1.3 Blockchain in Sustainable Development
2 Blockchain Integration Challenges Across Sectors
2.1 Challenges and Case Studies of Blockchain in Sustainable Development
2.2 Blockchain and Legacy Systems: Integration Strategies
2.3 Blockchain Security: Risks and Solutions
2.4 Privacy in Blockchain: Balancing Transparency
3 Our Proposed Blockchain Architecture for Sustainable Development
3.1 In-depth Design of Our Blockchain Model
3.2 Development and Compatibility Strategy
3.3 Security and Privacy Enhancements
4 Enhancing Blockchain Security and Privacy with Zero-Knowledge Proofs and Multi-party Computation
4.1 Zero-Knowledge Proofs: Concept and Relevance to Blockchain
4.2 Multi-party Computation: A Paradigm for Secure Data Processing
5 Conclusion and Future Directions
References
Systematic Mapping Study on the Use of Deep Learning, Image Processing, and IoT in Precision Agriculture
1 Introduction
2 Research Methodology
2.1 Research Questions
2.2 Search Strategy
2.3 Study Selection
2.4 Data Extraction Strategy and Synthesis
3 Results
3.1 Studies Selection
3.2 RQ1: In Which Year were the Selected Papers Related to Deep Learning, Image Processing, and IoT in the Field of Precision Agriculture Published?
3.3 RQ2: Which of the Technologies-Deep Learning, Image Processing, or IoT-is Most Commonly Used in Precision Agriculture, and How are They Being Applied to Improve Agricultural Practices?
3.4 RQ3: What are the Most Common Applications of Deep Learning, Image Processing, and IoT in Precision Agriculture, and What are the Key Findings and Trends in Each Application Area?
3.5 RQ4: How Does the Use of Precision Agriculture Technologies Affect Crop Yields and Farmer Profits?
4 Discussion
4.1 RQ1: In Which Year were the Selected Papers Related to Deep Learning, Image Processing, and IoT in the Field of Precision Agriculture Published?
4.2 RQ2: Which of the Technologies-Deep Learning, Image Processing, or IoT-is Most Commonly Used in Precision Agriculture, and How are They Being Applied to Improve Agricultural Practices?
4.3 RQ3: What are the Most Common Applications of Deep Learning, Image Processing, and IoT in Precision Agriculture, and What are the Key Findings and Trends in Each Application Area?
4.4 RQ4: How Does the Use of Precision Agriculture Technologies Affect Crop Yields and Farmer Profits?
5 Conclusion
References
Vascular Plants Colonization of the Historical Old Medina of Safi, Morocco
1 Introduction
2 Material and Methods
3 Results and Discussion
4 Conclusion
References
A Checklist of the Bryophytes of the Sidi Boughaba Wetland (Kénitra, Morocco)
1 Introduction
2 Materials and Methods
2.1 Presentation of the Study Site
2.2 Sampling
2.3 Data Analysis
3 Results and Discussion
4 Conclusion
References
Artificial Intelligence and Employability: A Literature Review of Engineer's Competencies
1 Introduction
2 Literature Review
3 Methodology
3.1 Search and Screening
4 Results
5 Discussion
6 Conclusion
References
Artificial Intelligence for Fault Diagnosis of Induction Motors in Manufacturing (Monitoring 4.0)
1 Introduction
2 Approach and Experiences
2.1 Broken Bars Details
2.2 Experimental Testbed and Dataset Acquisition
3 Signal Processing Methods and Features Extraction
3.1 Experimental Results Analysis
3.2 Features Extraction
4 Application
4.1 Machine Learning and the Proposal Approach
4.2 Dataset, Pre-Processing and Training
4.3 Results and Comparison
5 Conclusion et Perspectives
References
Beyond Traditional Marketing: Holistic Marketing as the Key to Success in the Era of the 4th Industrial Revolution and Post-Covid
1 Introduction
2 Literature Review
2.1 What is Holism?
2.2 From Holistic Approach to the Concept of «Holistic Marketing» and Its Contributions
3 Research Methodology
4 Results
5 Discussion
6 Conclusion
References
Charting the Smart Tourism Landscape: A Comprehensive Framework for Revealing the Impact of Destination Smartness on Tourism Experience and Perceived Value
1 Introduction
2 Problematic
3 Research Design
4 Theoretical Framework
4.1 Antecedents
4.2 Objects
4.3 Consequences
4.4 Mediators and moderators
5 Discussion
6 Conclusion
Appendices
References
Comparative Study Between DTC and FOC Control Strategies Applied to the BLDC Motor: A Review
1 Introduction
2 BLDC Motor Concept
2.1 Description and Working Principle of BLDC Motor
2.2 Types of BLDC
3 Control Strategies
3.1 Field Oriented Control
3.2 Direct Torque Control
4 Comparison in Dynamic and Static Performance
4.1 Steady State Performance
4.2 Transient Performance
4.3 Table of Results
5 Conclusion
References
Comparison of Feature Selection Methods for Breast Cancer Prediction
1 Introduction
2 Related Works
3 Methodology
3.1 Dataset Description
3.2 Data Preprocessing
3.3 Feature Selection Methods
3.4 Machine Learning Algorithms
3.5 Experiment Environment
4 Results and Discussion
4.1 Metrics
4.2 Experiment Setup
4.3 Results and Discussion
5 Conclusion
References
Agile Framework that Integrates Continuous Risk Management for the Implementation of BPR
1 Introduction
2 Business Process Reengineering (BPR)
2.1 Definition
2.2 Critical Success Factor
2.3 The Motwani Framework
3 Risk Management (RM)
4 Continuous Integration
5 Method and Result
5.1 Results
6 Discussion and Conclusion
References
Crafting OWL Ontologies from MongoDB: A Formal Concept Analysis (FCA) Approach
1 Introduction
2 Basic Concepts
2.1 Ontology
2.2 Formal Concept Analysis
2.3 MongoDB
3 Methodology
3.1 Ontology Engineering Steps
3.2 Mapping Rules
4 Discussion and Results
5 Conclusion
References
Credit Risk Management in Microfinance: Application of Non-repayment Prediction Models
1 Introduction
2 Literature Review
3 Credit Risk Management Using Machine Learning Scoring Method
3.1 Definition of Credit Risk
3.2 Definition and Benefits of Credit Scoring
3.3 Presentation of Models
4 Comparative Study of KNN, RF, and SVM Models for Predicting the Solvency of Clients in a Microfinance Institution
4.1 Descriptive Analysis of the Dataset
4.2 Univariate Analysis of Significant Variables
4.3 The Correlation Matrix
4.4 Results
5 Conclusion
References
Detecting Broken Glass Insulators for Automated UAV Power Line Inspection Based on an Improved YOLOv8 Model
1 Introduction
2 Related Works
3 Methods
3.1 VPMBGI - an Open-Source Dataset for Broken Glass Insulator
3.2 Improved YOLOv8 Model -YOLOv8 Gold
4 Experiments
4.1 Training Dataset
4.2 Experimental Environment and Training Process
4.3 Evaluation Metrics
5 Results
6 Conclusion
References
Information Retrieval in XML Document: State of the Art
1 Introduction
2 Information Retrieval
2.1 Preambule
2.2 Document Information Retrieval
3 Information Retrieval in XML Document
3.1 Introduction
3.2 Significance of XML Documents
3.3 Information Retrieval in XML Documents
4 Discussion
5 Conclusion
References
Elevating Manufacturing Excellence: A Data-Driven Approach to Optimize Overall Equipment Effectiveness (OEE) for a Single Machine
1 Introduction
2 State-of-Art
2.1 Definitions
2.2 Overall Equipment Efficiency Overview
2.3 Machine Learning Fundamentals
3 Numerical Experiment
3.1 System Description
3.2 Data Preparation
3.3 Machine Learning Model
3.4 Validation and Deployment
4 Conclusion
References
ERP Systems Recommendations for Critical Decisions Selection
1 Introduction
2 Related Work
3 Methodology
4 Critical Decisions
4.1 ERP Technical Deployment Type
4.2 Adaptation Level
5 Conclusion
References
High-Performance Computing to Accelerate Large-Scale Computational Fluid Dynamics Simulations: A Comprehensive Study
1 Introduction
2 Background and Fundamentals
3 Challenges in Large-Scale CFD Simulations
3.1 Computational Intensity and Resource Requirements
3.2 Mesh Generation and Adaptivity
3.3 Data Management and I/O Bottlenecks
3.4 Parallel Scalability
3.5 Turbulence Modeling and Numerical Stability
3.6 Multidisciplinary Coupling
4 The Role of HPC in CFD
4.1 Scalability and Load Balancing
4.2 Memory Hierarchy Optimization
5 Discussion and Comparative Analysis
5.1 Analyzing Common Trends and Techniques
5.2 Comparing Performance and Outcomes with Traditional Methods
5.3 Insights into the Effectiveness of HPC in Addressing Specific Challenges
5.4 Case Study: Multidisciplinary Coupling and Optimization
6 Conclusion
References
Improving Machine Learning Performance for Diabetes Prediction
1 Introduction
2 Related Work
3 Methodology
3.1 Data Description
3.2 Data Pre-processing
3.3 Data Cleaning
3.4 Brief Description of Algorithms Used
3.5 Evaluation Metrics
4 Results and Discussion
4.1 Separate Classifiers
4.2 Ensemble Learning
5 Conclusion
References
Incorporating Computer Vision and Machine Learning for Lane and Curve Detection in Vehicle Mobility
1 Introduction
2 Related Works
3 The Proposed Methodology
3.1 Lane Detection Using Pixel Summation
3.2 Capturing Frames
3.3 Image Thresholding
3.4 Image Warping
3.5 Pixel Summation
3.6 Histogram Analysis
3.7 Curve Identification
4 Experiments and Results
4.1 Car Overview
4.2 Camera Module
4.3 Motor Module
4.4 Lane and Curve Detection Module
4.5 Results
5 Conclusion
References
Influencers on Instagram, These New Muses Who Revolutionize the Modes of Consumption!
1 Introduction
2 Literature Review
3 Methods
4 Finding and Results
5 Discussions
6 Conclusion
References
Malicious URL Detection Using Transformers' NLP Models and Machine Learning
1 Introduction
2 Problem Statement and Related Work
3 The Proposed Detection System
3.1 Dataset
3.2 Dissection
3.3 Features Extraction
3.4 Machine Learning Models Training and Evaluation
4 Results and Discussion
5 Conclusion
References
Multi-criteria Model and Digital Technology Enablers for Crowd Selection in the Last Mile Delivery
1 Introduction
2 Related Work
2.1 Crowdsourcing as Solution for the Last Mile
2.2 Crowd Selection and Task Assignment Techniques
3 Overview of Analytic Hierarchy Process (AHP) Method
4 Crowd Selection Approach Using (AHP) Method
5 Application of the Proposed Approach in the Case of Nocturnal Shopping Platform
6 Digital Technology Enablers for the Crowd Selection Process
7 Conclusion and Perspectives
References
Endomycorrhizal Status of Argan Trees Implanted in Taounate Region, Morocco
1 Introduction
2 Materials and Methods
2.1 Surveys and Sampling
2.2 Sample Processing
2.3 Extraction of the Spores
2.4 Species Richness and Frequency of Spore Appearance
2.5 Statistical Analysis
3 Results
4 Discussion
5 Conclusion
References
How Artificial Intelligence Combined with Blockchain Technology Could Accelerate Impact Investing
1 Introduction
2 Literature Review: The Synergy of Artificial Intelligence and Blockchain in Impact Investing
2.1 Impact Investing
2.2 Artificial Intelligence
2.3 Blockchain
3 Methodology
4 Results
4.1 AI Empowered Blockchain
4.2 Impact Investing and AI empowered Blockchain
5 Discussion
6 Conclusion
References
Correction to: Addressing Climate Change and Building Resilience in the Draa-Tafilalet Region
Correction to: Chapter 4 in: M. Ezziyyani et al. (Eds.): International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023), LNNS 930, https://doi.org/10.1007/978-3-031-54318-0_4
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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023)

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