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dc.contributor.authorSemerikov, Serhiy O.-
dc.date.accessioned2024-07-10T07:14:17Z-
dc.date.available2024-07-10T07:14:17Z-
dc.date.issued2024-05-21-
dc.identifier.citationSemerikov S. O. Editorial for JEC Volume 3 Issue 1 / Serhiy O. Semerikov // Journal of Edge Computing. – 2024. – Vol. 3. – Iss. 1. – P. 1–2. – DOI : https://doi.org/10.55056/jec.737uk_UA
dc.identifier.issn2837-181X-
dc.identifier.urihttps://acnsci.org/journal/index.php/jec/article/view/737-
dc.identifier.urihttp://ds.knu.edu.ua/jspui/handle/123456789/5486-
dc.descriptionJony, A.I. and Arnob, A.K.B., 2024. A long short-term memory based approach for detecting cyber attacks in IoT using CIC-IoT2023 dataset. Journal of Edge Computing, 3(1), pp.28–42. Available from: https://doi.org/10.55056/jec.648. DOI: https://doi.org/10.55056/jec.648 Klochko, O.V. and Fedorets, V.M., 2024. An IoT system based on open APIs and geolocation for human health data analysis. Journal of Edge Computing, 3(1), pp.65–86. Available from: https://doi.org/10.55056/jec.698. DOI: https://doi.org/10.55056/jec.698 Melek, N., 2024. Responding to challenge call for machine learning model development in diagnosing respiratory disease sounds. Journal of Edge Computing, 3(1), pp.43–64. Available from: https://doi.org/10.55056/jec.679. DOI: https://doi.org/10.55056/jec.679 Talaver, O.V. and Vakaliuk, T.A., 2024. Telemetry to solve dynamic analysis of a distributed system. Journal of Edge Computing, 3(1), pp.87–109. Available from: https://doi.org/10.55056/jec.728. DOI: https://doi.org/10.55056/jec.728 Vakaliuk, T.A. and Semerikov, S.O., 2024. Empowering the Edge: Research advances from doors 2024. Journal of Edge Computing, 3(1), pp.3–27. Available from: https://doi.org/10.55056/jec.747. DOI: https://doi.org/10.55056/jec.747uk_UA
dc.description.abstractThis editorial introduces the first issue of the third volume of the Journal of Edge Computing (JEC). It provides an overview of the five articles featured in this issue, which cover diverse applications of edge computing technologies in domains such as cybersecurity, healthcare, and distributed systems. The first article summarizes the 4th Edge Computing Workshop (doors 2024), highlighting research advances in edge computing. The second article proposes an LSTM-based model for detecting cyber attacks in IoT systems using the CIC-IoT2023 dataset. The third article presents a machine-learning model for classifying respiratory system sounds to aid in the early diagnosis of respiratory diseases. The fourth article describes an IoT system that analyzes environmental data using geolocation to generate alerts about potential health risks. The fifth article explores the use of telemetry for dynamic analysis of distributed systems to identify architectural smells and anomalies. The editorial highlights the potential of edge computing technologies in addressing various challenges and expresses gratitude to the authors, reviewers, and editorial team for their contributions.uk_UA
dc.language.isoenuk_UA
dc.subjectedge computinguk_UA
dc.subjectdoors 2024uk_UA
dc.subjectIoT securityuk_UA
dc.subjectcyber attacksuk_UA
dc.subjectLSTMuk_UA
dc.subjectrespiratory disease diagnosisuk_UA
dc.subjectmachine learninguk_UA
dc.subjectIoTuk_UA
dc.subjectopen APIsuk_UA
dc.subjectgeolocationuk_UA
dc.subjecttelemetryuk_UA
dc.subjectdistributed systemsuk_UA
dc.subjectdynamic analysisuk_UA
dc.titleEditorial for JEC Volume 3 Issue 1uk_UA
dc.typeArticleuk_UA
dc.identifier.doihttps://doi.org/10.55056/jec.737-
local.submitter.emailsemerikov@ccjourn...uk_UA
Розташовується у зібраннях:Кафедра професійної та соціально-гуманітарної освіти

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