A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit <a rel="external noopener" href="https://journal.achsm.org.au/index.php/achsm/article/download/1297/683">the original URL</a>. The file type is <code>application/pdf</code>.
Application of Disruptive Technologies on Environmental Health: An overview of artificial intelligence, blockchain and internet of things
<span title="2021-12-13">2021</span>
<i title="Australasian College of Health Service Management">
<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g46a3d7oy5gulbrj55ingucaaa" style="color: black;">Asia Pacific Journal of Health Management</a>
</i>
Preserved Fulltext
Environmental monitoring technology is a critical component in assisting and ensuring environmental management success. The development patterns of disruptive technologies for environmental monitoring should be studied and anticipated in order to aid in the promotion of India's environmental monitoring and protection. The primary objective is to examine previous research on disruptive technology and its current environmental applications, as well as to determine the degree of connection between
<span class="external-identifiers">
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24083/apjhm.v16i4.1297">doi:10.24083/apjhm.v16i4.1297</a>
<a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/rp3uzjuak5eb7pc44putjkb6fa">fatcat:rp3uzjuak5eb7pc44putjkb6fa</a>
</span>
more »
... the chosen variables, using the Vos Viewer Software, which is being used in this study. A discussion of the existing environmental impacts associated with artificial intelligence (AI), blockchain, and the Internet of Things (IoT), as well as new advancements in these fields, is presented in this article. As a result of the research, the difficulties and possibilities presented by the stated technologies on the entire Indian environmental monitoring network have been highlighted that can be useful for researchers and government for future advancement in environmental health. (*The paper was presented at the 2nd Conference on Business Data Analytics: Innovation in emerging trends in management data analytics. Apeejay School of Management, Dwarka, Delhi, India. November 2021)
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211226092948/https://journal.achsm.org.au/index.php/achsm/article/download/1297/683" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext">
<button class="ui simple right pointing dropdown compact black labeled icon button serp-button">
<i class="icon ia-icon"></i>
Web Archive
[PDF]
<div class="menu fulltext-thumbnail">
<img src="https://blobs.fatcat.wiki/thumbnail/pdf/2a/30/2a30b7cdbd1d36e444815aa1418e1042b32f86b8.180px.jpg" alt="fulltext thumbnail" loading="lazy">
</div>
</button>
</a>
<a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.24083/apjhm.v16i4.1297">
<button class="ui left aligned compact blue labeled icon button serp-button">
<i class="unlock alternate icon" style="background-color: #fb971f;"></i>
Publisher / doi.org
</button>
</a>