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Emerging drifts big data analytics and environment sustainability (EBAES).

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Title: Emerging drifts big data analytics and environment sustainability (EBAES).
Authors: Singh, Ashok Kumar1 (AUTHOR) akscyfcy@gmail.com, Kumar, Rupesh2 (AUTHOR) scholar.rupesh@gmail.com, Bangwal, Deepak3 (AUTHOR) dbangwal10@gmail.com
Source: Environmental Science & Pollution Research. Mar2025, Vol. 32 Issue 12, p7113-7114. 2p.
Subject Terms: *Sustainability, *Environmental sciences, *Environmental management, *Natural resources, *Ecological impact, *Sustainable development reporting
Abstract: The special issue in the journal "Environmental Science & Pollution Research" delves into the intersection of emerging technologies and environmental sustainability, focusing on Big Data Analytics, Artificial Intelligence (AI), and the Internet of Things (IoT). The issue addresses key sustainability challenges such as climate change, water resources, water quality, and greenhouse gas emissions in wetlands. Researchers are encouraged to submit studies on topics like climate change, AI and IoT applications in sustainability, supply chain sustainability, carbon footprint analysis, and more to advance understanding of leveraging emerging technologies for a sustainable future. The guest editors have curated research papers that offer innovative solutions to global environmental challenges, aiming to stimulate further exploration and technological breakthroughs in sustainability. [Extracted from the article]
Database: Energy & Power Source
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An: 184082007
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PubType: Academic Journal
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  Data: Emerging drifts big data analytics and environment sustainability (EBAES).
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  Data: <searchLink fieldCode="AR" term="%22Singh%2C+Ashok+Kumar%22">Singh, Ashok Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> akscyfcy@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Kumar%2C+Rupesh%22">Kumar, Rupesh</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> scholar.rupesh@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Bangwal%2C+Deepak%22">Bangwal, Deepak</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> dbangwal10@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Science+%26+Pollution+Research%22">Environmental Science & Pollution Research</searchLink>. Mar2025, Vol. 32 Issue 12, p7113-7114. 2p.
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  Data: *<searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+sciences%22">Environmental sciences</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+management%22">Environmental management</searchLink><br />*<searchLink fieldCode="DE" term="%22Natural+resources%22">Natural resources</searchLink><br />*<searchLink fieldCode="DE" term="%22Ecological+impact%22">Ecological impact</searchLink><br />*<searchLink fieldCode="DE" term="%22Sustainable+development+reporting%22">Sustainable development reporting</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The special issue in the journal "Environmental Science & Pollution Research" delves into the intersection of emerging technologies and environmental sustainability, focusing on Big Data Analytics, Artificial Intelligence (AI), and the Internet of Things (IoT). The issue addresses key sustainability challenges such as climate change, water resources, water quality, and greenhouse gas emissions in wetlands. Researchers are encouraged to submit studies on topics like climate change, AI and IoT applications in sustainability, supply chain sustainability, carbon footprint analysis, and more to advance understanding of leveraging emerging technologies for a sustainable future. The guest editors have curated research papers that offer innovative solutions to global environmental challenges, aiming to stimulate further exploration and technological breakthroughs in sustainability. [Extracted from the article]
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=184082007
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        Value: 10.1007/s11356-024-35876-1
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        Text: English
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      – SubjectFull: Environmental sciences
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      – SubjectFull: Environmental management
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      – SubjectFull: Natural resources
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      – SubjectFull: Ecological impact
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      – SubjectFull: Sustainable development reporting
        Type: general
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      – TitleFull: Emerging drifts big data analytics and environment sustainability (EBAES).
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            NameFull: Singh, Ashok Kumar
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            NameFull: Kumar, Rupesh
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              Text: Mar2025
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              Y: 2025
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