- Semerikov, Serhiy O. (orcid.org/0000-0003-0789-0272) (2024) Editorial for JEC Volume 3 Issue 1 (2024) Journal of Edge Computing, 1 (3). pp. 1-2. ISSN 2837-181X
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Abstract
This 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.
Item Type: | Article |
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Keywords: | edge computing, doors 2024, IoT security, cyber attacks, LSTM, respiratory disease diagnosis, machine learning, IoT, open APIs, geolocation, telemetry, distributed systems, dynamic analysis |
Subjects: | Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing |
Divisions: | Institute for Digitalisation of Education > Department of Cloud-Oriented Systems and Artificial Intelligence in Education |
Depositing User: | Сергій Олексійович Семеріков |
Date Deposited: | 21 Jul 2024 10:40 |
Last Modified: | 21 Jul 2024 10:40 |
URI: | https://lib.iitta.gov.ua/id/eprint/741783 |
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