A new publication was recently published in the domain of intelligent data management in IoT networks:<\/p>\n
Kylafas, C., Kolomvatsos, K., \u2018Probabilistic Clustering with Temporal Prediction for Adaptive Data Management in IoT Networks\u2019, Computing, Springer, vol. 108, art. no. 168, 2026. https:\/\/doi.org\/10.1007\/s00607-026-01759-1<\/a><\/p>\n The paper proposes a clustering algorithm for IoT sensor networks that combines Gaussian Mixture Models for probabilistic cluster characterization with Hidden Markov Models for predicting cluster evolution over time. A top-k neighbor maintenance strategy keeps the computational cost near-linear, so the approach scales across different network sizes.<\/p>\n","protected":false},"excerpt":{"rendered":" A new publication was recently published in the domain of intelligent data management in IoT networks: Kylafas, C., Kolomvatsos, K., Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","template":"","categories":[],"newstags":[],"_links":{"self":[{"href":"https:\/\/iprism.eu\/index.php\/wp-json\/wp\/v2\/news\/581"}],"collection":[{"href":"https:\/\/iprism.eu\/index.php\/wp-json\/wp\/v2\/news"}],"about":[{"href":"https:\/\/iprism.eu\/index.php\/wp-json\/wp\/v2\/types\/news"}],"author":[{"embeddable":true,"href":"https:\/\/iprism.eu\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/iprism.eu\/index.php\/wp-json\/wp\/v2\/comments?post=581"}],"wp:attachment":[{"href":"https:\/\/iprism.eu\/index.php\/wp-json\/wp\/v2\/media?parent=581"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/iprism.eu\/index.php\/wp-json\/wp\/v2\/categories?post=581"},{"taxonomy":"newstags","embeddable":true,"href":"https:\/\/iprism.eu\/index.php\/wp-json\/wp\/v2\/newstags?post=581"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}