Towards Sustainable and Advanced Environmental Solutions
Abstract: The pressing nature of environmental challenges underscores the need for a collaborative endeavor to leverage advanced solutions in monitoring and preserving our ecosystems. This special issue endeavors to highlight state-of-the-art research and advancements toward sustainable and advanced environmental solutions, encompassing diverse aspects of environmental monitoring and sustainability. By delving into the convergence of advanced environmental solutions, artificial intelligence, and environmental sciences, our goal is to cultivate a profound comprehension of the pivotal role that advanced environmental solutions play in shaping a more ecofriendly and resilient future. The Embedded Self-Organizing Systems (ESS) journal comprises a set of carefully selected tracks that focus on the particular challenges regarding AI-driven Solutions for Sustainable Environment Monitoring. Topics of (ESS) journal include (but not limited to): • Air Quality Monitoring and Pollution Control. • Natura.... https://www.bibliothek.tu-chemnitz.de/ojs/index.php/cs/article/view/681
- Location
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                Deutsche Nationalbibliothek Frankfurt am Main
 
- Extent
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                Online-Ressource
 
- Language
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                Englisch
 
- Bibliographic citation
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                Towards Sustainable and Advanced Environmental Solutions ; volume:11 ; number:9 ; year:2024
 Embedded selforganising systems ; 11, Heft 9 (2024)
 
- Creator
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                Saleh, Shadi
 Battseren, Batbayar
 
- DOI
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                        10.14464/ess.v11i9.681
- URN
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                        urn:nbn:de:101:1-2410161945336.805423310770
- Rights
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                        Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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                        15.08.2025, 7:31 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Saleh, Shadi
- Battseren, Batbayar
 
             
        
    