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Exploring the Impact of Extended Reality (XR) Technologies on Promoting Environmental Sustainability / edited by Shashi Kant Gupta, Nitu Maurya, Dac-Nhuong Le, Toufik Mzili.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Contributor:
Gupta, Shashi Kant, Editor.
Maurya, Nitu, Editor.
Le, Dac-Nhuong., Editor.
Mzili, Toufik., Editor.
Series:
Information Systems Engineering and Management, 3004-9598 ; 38
Language:
English
Subjects (All):
Computational intelligence.
Engineering--Data processing.
Engineering.
Engineering mathematics.
Computational Intelligence.
Data Engineering.
Mathematical and Computational Engineering Applications.
Local Subjects:
Computational Intelligence.
Data Engineering.
Mathematical and Computational Engineering Applications.
Physical Description:
1 online resource (XIX, 519 p. 42 illus., 30 illus. in color.)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
This book offers a groundbreaking exploration of how Extended Reality (XR) technologies can drive environmental sustainability. By integrating virtual, augmented, and mixed realities, it provides innovative solutions to enhance understanding and inspire action on environmental issues. The text is meticulously curated to cover the multifaceted applications of XR, from revolutionizing environmental practices with deep learning to leveraging quantum computing for sustainable solutions. It highlights the synergy between XR and artificial intelligence in optimizing supply chains and enhancing data analytics. Aimed at researchers, practitioners, and policymakers, this resource underscores the critical role of XR in environmental advocacy, emphasizing its potential in effective communication and behavior change. The book also delves into immersive education, fostering a culture of environmental stewardship through experiential learning. Ultimately, it calls for interdisciplinary collaboration to address pressing environmental challenges, envisioning a future where XR technologies are pivotal in safeguarding our planet.
Contents:
Harnessing XR Technologies and Deep Learning for Environmental Sustainability Innovations and Impacts
Leveraging XR for Environmental Communication and Behavior Change A Media Perspective
Quantum Computing Unlocking the Future of Sustainable Environmental Solutions
AI and XR in Supply Chain Revolutionizing Sustainable Practices for a Better Tomorrow
Data Engineering in Sustainability Building the Foundations for a Resilient Future
Data Analytics for Environmental Conservation Harnessing Insights for Informed Decision Making
Financial Innovation for Sustainability Leveraging AI, XR, and Data for Impactful Investments
Natural Language Processing (NLP) for XR-based Environmental Communication
Data Science for Environmental Impact Assessment using XR
Data Analytics for XR-based Environmental Sustainability Metrics.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-031-88013-7
OCLC:
1524425814

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