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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD'2023) : Advanced Intelligent Systems on Energy, Environment and Agriculture, Volume 2 / edited by Mostafa Ezziyyani, Janusz Kacprzyk, Valentina Emilia Balas.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 931
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Economic development.
- Environmental sciences--Social aspects.
- Environmental sciences.
- Agriculture.
- Computational Intelligence.
- Development Studies.
- Environmental Social Sciences.
- Local Subjects:
- Computational Intelligence.
- Development Studies.
- Environmental Social Sciences.
- Agriculture.
- Physical Description:
- 1 online resource (340 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2024.
- Summary:
- 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.
- Contents:
- Intro
- Preface
- Acknowledgements
- Contents
- Possible Impacts of Artificial Intelligence (AI) on the Performance of the Journalism Industry (Case of Morocco)
- 1 Introduction
- 2 Literature Review
- 2.1 Artificial Intelligence
- 2.2 Resource and Competence Theory
- 3 The Influence of Artificial Intelligence on Business Performance and Newspaper Industries
- 3.1 The Impact of Artificial Intelligence on Business Performance
- 3.2 AI's Impact on Newspaper Industries
- 4 Methodological Approach
- 5 Results and Discussion
- 5.1 The Advantages of AI
- 5.2 Drawbacks Related to AI
- 5.3 AI Tools Integrated Into Workflow
- 6 Conclusion
- References
- Wood Surface Defects Detection Based on AI Algorithm Yolov7
- 2 Materials and Methods
- 2.1 Robotics-Integrated Vision Systems
- 2.2 Data Pre-processing
- 2.3 Real-Time Object Detection
- 2.4 Experimental Setup
- 2.5 Model Performance Metrics
- 3 Results and Discussion
- 4 Conclusion
- Real-Time Predictive Maintenance-Based Process Parameters: Towards an Industrial Sustainability Improvement
- 2 Problematic
- 3 Methodology
- 4 Results and Analysis
- 4.1 Process Data Acquisition in Real-Time Maintenance Prediction (RQ1)
- 4.2 Real-Time Maintenance Prediction Techniques (RQ2)
- 4.3 Predictive Model Deployment (RQ3)
- 5 Discussion
- Recent Developments in Robotic Grasping Detection
- 2.1 Object Localization
- 2.2 Object Pose Estimation
- 2.3 Grasp Estimation
- 2.4 Discussion of the Literature
- 3 Data Acquisition Sensors
- 3.1 Overview
- 3.2 Discussion
- Review Study on the Adaptive and Personalized Intelligent Tutoring Systems in E-learning
- 2 Review Methodology
- 2.1 Material Collection.
- 2.2 Descriptive Analysis
- 2.3 Category Selection
- 3 Traditional Formal Education vs E-learning
- 3.1 Intelligent Tutoring Systems
- 4 Effects of ITSs on Personalized Learning
- 4.1 Adaptive Learning (AL)
- 4.2 Intelligent Tutoring System Platforms
- 5 Conclusions and Future Works
- Sustainability and WEB-BASED Corporate Social Responsibility Disclosure: Could Machine Learning Models Explain the Impact on Bank's Cash Holding
- 2 Theoretical Framework (Adopted Theories)
- 2.1 Stakeholder Theory
- 2.2 Legitimacy Theory
- 2.3 Media-Richness Theory (MRT)
- 2.4 Design/Methodology/Approach
- 3 Results
- 3.1 Machine Learning Models for Conventional Banks
- 3.2 Machine Learning Models for Islamic Banks
- Appendix
- TinyML on Arduino Nano 33 BLE for Disabled Person
- 3 TinyML and Methodology
- 4 Materials and Methods
- 5 Conclusion
- A Framework Based SVM for Bankruptcy Prediction
- 2 The Proposal Framework
- 2.1 Data Preprocessing
- 2.2 Feature Selection
- 2.3 Support Vector Machine
- 3 Experimental Results
- 3.1 Dataset
- 3.2 Experiments
- 3.3 Results
- Analysis of Spatiotemporal Variation of Oceanographic Parameters in the North Atlantic off Morocco
- 2 Problem Statement
- 3 Study Area
- 4 Methodology
- 4.1 Data Sources
- 4.2 Data Processing
- 5 Solution
- Artificial Intelligence and Green Marketing: What Link?
- 2.1 The Underlying Concept Governing the Functionality of Artificial Intelligence
- 2.2 Utilizing Artificial Intelligence for Marketing Purposes
- 2.3 Use of Artificial Intelligence in Strategy and Planning.
- 2.4 Green Marketing: Colorful Marketing or Real Concerned Marketing?
- 3 Research Methodology
- 3.1 Selection of Bibliometric Databases
- 3.2 Defining Keywords
- 3.3 Refining the Initial Results (Inclusion and Exclusion Criteria)
- 4 Findings and Discussion
- 4.1 Artificial Intelligence for Sustainability
- 4.2 Artificial Intelligence for Green Marketing: The Intertwining
- 4.3 Promising Prospects and Hurdles of AI Integration in Green Marketing
- 4.4 Implications of Green Marketing and AI Integration
- 4.5 Recommendations for Businesses
- Assessing Coastal Changes and Shallow Water Environments: Using Remote Sensing and GIS
- 3.1 Extending the Study Area
- 3.2 Data Pre-processing
- 3.3 Coastline Evolution Analysis
- 3.4 Beach Morphology
- 4 Results
- 4.1 Anza Beach
- 4.2 Morphology of Anza Beach
- Smartainity: A Comprehensive Framework for Urban Performance Assessment in African Smart Cities with Key Performance Indicators
- 2.1 Smart City Concepts
- 3.1 Afro-Smartainity Approach
- 3.2 Case Study Analysis: Casablanca Smart City 2023
- 4 Results and Discussions
- Integrated Natural Resources Management in a Context of Increasing Demand for Building Materials in the Prefecture of Tangier-Assilah (Northwestern Morocco)
- 2 Methodology
- 2.1 General Data
- 2.2 Geology
- 2.3 Climate
- 2.4 Economy
- 2.5 Approach Method
- The Evolution of Kariat Arekmane Coast (Province of Nador-Morocco) Diachronic Study and Evaluation of Proposed Solutions
- 2 Study Area
- 3 Oceanographic Parameters
- 3.1 Wind
- 3.2 Swells
- 4 Methodology.
- 4.1 Selection of the Reference Line and Coastline Extraction by Digitization
- 4.2 Statistical Analysis of Coastal Line Evolution
- 4.3 Coastal Transit
- 4.4 Wind Transit
- 5 Results and Discussions
- 5.1 Diachronic Analysis
- 5.2 Sediment Transport
- 6 Proposed Interventions
- 7 Conclusion
- On the Role of Big Data and Artificial Intelligence for the Sustainability of Complex Logistics Networks of Offshore Companies
- 2 Overview: State of the Art of Research and Methodology
- 3 Concepts
- 3.1 Big Data
- 3.2 Artificial Intelligence: AI
- 3.3 Supply Chain Management Problem
- 3.4 Industry 4.0 and the Management of Complex Supply Chains
- 3.5 Intelligent Transport System and Mobility
- 4 Directions for Future Research
- Littoral Morpho-Dynamic Evolution: The Case of Al-Hoceima (Mediterranean Sea, North Morocco)
- 3.1 Photo-Interpretation of Satellite Images
- 3.2 Estimates of Areas of Land Subject to Flooding
- 4.1 Coastline Kinematics Between 2000 and 2008
- 4.2 Risks of Submersion and Flooding
- 5 Discussion and Conclusion
- Depicting the Biofilm Microbiome of Plumbing Systems in Apartment-Type Residential Buildings Using Bioinformatics Tools
- Mountains and Clouds Motion Similarity and Their Dependencies on the Observer's Reference
- 2 Some Backgrounds on the Clouds
- 3 Mountain Velocities Calculations
- Resolving the Quadratic Assignment Problem with the Elephant Herding Optimization
- 2 The Quadratic Assignment Problem
- 3 The Elephant Herding Optimization
- 4 EHO for the Quadratic Assignment Problem.
- 5 Results and Comparison
- Monitoring of Terrain Displacement in the Agadir Area of Morocco: Utilizing PSInSAR Technology
- 3.1 Image Selection
- 3.2 SNAP Processing
- 3.3 Preparing Input Data for StaMPS
- 3.4 Processing in Matlab
- 4.1 Stable Points (PS)
- 4.2 Anza Beach
- The Use of Deep Learning, Image Processing, and High-Performance Computing: A Systematic Mapping Study
- 2 Research Methodology
- 2.1 Research Questions
- 2.2 Search Strategy
- 2.3 Study Selection
- 2.4 Data Extraction Strategy and Synthesis
- 2.5 Threats to Validity
- 3.1 Studies Selection
- 4 Discussions
- 5 Conclusion and Future Work
- An Overview of PV Conversion System and MPPT Control Strategies
- 2 Photovoltaic Conversion System
- 2.1 Definition
- 2.2 PV System Categories
- 3 Maximum Power Point Tracking Controller for PVES
- 3.1 Modified Perturb and Observe (P&
- O)
- 3.2 Artificial Neural Network (ANN)
- 3.3 Particle Swarm Optimization (PSO)
- 4 MPPT Controller Comparison
- Efficiency of Wind Turbines for Power Energy Generation Towards Forecasting Weather
- 2 Research Questions
- 3.1 Data Preprocessing
- 3.2 Data Cleaning
- 3.3 Algorithm K-means
- 3.4 Expected Results
- Evolution of LPG Demand Using Machine Learning Planning Models: An Application in the Case of Morocco
- 3 An Overview of the Methods Employed
- 3.1 Regression Model
- 3.2 Support Vector Machine
- 3.3 Artificial Neural Network Model
- 4 Application of the Models
- 4.1 Data
- 4.2 Modeling
- 4.3 Models Test
- 4.4 Forecasting
- 4.5 Discussion.
- 5 Conclusion.
- Notes:
- Includes bibliographical references and index.
- ISBN:
- 3-031-54288-6
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