| Description |
1 online resource (xii, 428 pages) : illustrations (some color) |
| Series |
Lecture notes in networks and systems, 2367-3389 ; 930 |
|
Lecture notes in networks and systems ; v. 930. 2367-3389
|
| Contents |
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 |
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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 |
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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 |
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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 |
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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 |
| 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 |
| Notes |
Includes author index |
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Online resource; title from PDF title page (SpringerLink, viewed February 26, 2024) |
| Subject |
Artificial intelligence -- Industrial applications -- Congresses
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Artificial intelligence -- Environmental aspects -- Congresses
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Sustainable development -- Technological innovations -- Congresses
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| Genre/Form |
Electronic books
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| Form |
Electronic book
|
| Author |
Ezziyyani, Mostafa, editor.
|
|
Kacprzyk, Janusz, editor.
|
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Balas, Valentina Emilia, editor.
|
| ISBN |
9783031543180 |
|
3031543181 |
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