{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T20:32:32Z","timestamp":1769977952657,"version":"3.49.0"},"reference-count":44,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T00:00:00Z","timestamp":1683763200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Deputyship for Research &amp; Innovation, Ministry of Education in Saudi Arabia","award":["442\/210"],"award-info":[{"award-number":["442\/210"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Having access to safe water and using it properly is crucial for human well-being, sustainable development, and environmental conservation. Nonetheless, the increasing disparity between human demands and natural freshwater resources is causing water scarcity, negatively impacting agricultural and industrial efficiency, and giving rise to numerous social and economic issues. Understanding and managing the causes of water scarcity and water quality degradation are essential steps toward more sustainable water management and use. In this context, continuous Internet of Things (IoT)-based water measurements are becoming increasingly crucial in environmental monitoring. However, these measurements are plagued by uncertainty issues that, if not handled correctly, can introduce bias and inaccuracy into our analysis, decision-making processes, and results. To cope with uncertainty issues related to sensed water data, we propose combining network representation learning with uncertainty handling methods to ensure rigorous and efficient modeling management of water resources. The proposed approach involves accounting for uncertainties in the water information system by leveraging probabilistic techniques and network representation learning. It creates a probabilistic embedding of the network, enabling the classification of uncertain representations of water information entities, and applies evidence theory to enable decision making that is aware of uncertainties, ultimately choosing appropriate management strategies for affected water areas.<\/jats:p>","DOI":"10.3390\/s23104672","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T01:30:29Z","timestamp":1683855029000},"page":"4672","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["An Evidence Theory Based Embedding Model for the Management of Smart Water Environments"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8236-8746","authenticated-orcid":false,"given":"Maha","family":"Driss","sequence":"first","affiliation":[{"name":"Security Engineering Lab, CCIS, Prince Sultan University, Riyadh 12435, Saudi Arabia"},{"name":"RIADI Laboratory, University of Manouba, Manouba 2010, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2133-0757","authenticated-orcid":false,"given":"Wadii","family":"Boulila","sequence":"additional","affiliation":[{"name":"RIADI Laboratory, University of Manouba, Manouba 2010, Tunisia"},{"name":"Robotics and Internet-of-Things Laboratory, Prince Sultan University, Riyadh 12435, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9932-8433","authenticated-orcid":false,"given":"Haithem","family":"Mezni","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Taibah University, Madinah 42353, Saudi Arabia"},{"name":"SMART Lab, Jendouba University, Jendouba 8189, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mokhtar","family":"Sellami","sequence":"additional","affiliation":[{"name":"RIADI Laboratory, University of Manouba, Manouba 2010, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0796-3507","authenticated-orcid":false,"given":"Safa","family":"Ben Atitallah","sequence":"additional","affiliation":[{"name":"RIADI Laboratory, University of Manouba, Manouba 2010, Tunisia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nouf","family":"Alharbi","sequence":"additional","affiliation":[{"name":"College of Computer Science and Engineering, Taibah University, Madinah 42353, Saudi Arabia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2023,5,11]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"624066","DOI":"10.3389\/fsufs.2020.624066","article-title":"Water management in agricultural production, the economy, and Venezuelan society","volume":"4","year":"2021","journal-title":"Front. 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