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The Journal of Edge Computing (JEC, J. Edge Comp., J. Edge Comput.) is a Diamond Open Access peer-reviewed journal covering the science, theories, and practice of IoT, distributed systems, and edge computing. JEC considers scientific research on using and applying edge computing in various fields: education, science, medicine, architecture, etc. The journal also considers the publication of work on systematic reviews and meta-analyses, the structure of which meets the journal's requirements.

 

Journal of Edge Computing - Scopus inclusion announcement

2025-05-18

The Journal of Edge Computing has achieved a significant milestone by being accepted for inclusion in the prestigious Scopus database. This recognition validates the high-quality research published in the journal and its growing impact on the edge computing field. The editorial team expresses profound gratitude to all authors, reviewers, and contributors whose dedication made this achievement possible. Acceptance by the Scopus Content Selection & Advisory Board marks an important advancement in our journal's international visibility and academic standing, paving the way for continued growth and scientific excellence.

Journal of Edge Computing editorial activity report (2024)

2025-03-03

The Journal of Edge Computing editorial activity report for 2024 reveals significant operational changes, with faster initial decision times and more selective acceptance criteria. The report highlights a decrease in acceptance rate from 38% to 25% and improved efficiency in the editorial workflow, with initial decisions now made in just 2 days compared to the previous 15-day average. This comprehensive analysis provides insights into submission patterns, decision timelines, and recommendations for maintaining publication excellence while balancing quality and accessibility for authors.

Vol. 4 No. 2 (2025)

Edge of arXiv 2025: bibliometrics, themes, time trends, and networks

Serhiy O. Semerikov

116-158

Abstract views 92  
PDF   views 49
DOI: https://doi.org/10.55056/jec.1214

Method of adaptive knowledge distillation from multi-teacher to student deep learning models

Oleksandr Chaban, Eduard Manziuk, Pavlo Radiuk

159-178

Abstract views 363  
PDF   views 137
DOI: https://doi.org/10.55056/jec.978

Edge intelligence unleashed: a survey on deploying large language models in resource-constrained environments

Serhiy O. Semerikov, Tetiana A. Vakaliuk, Olga B. Kanevska, Oksana A. Ostroushko, Andrii O. Kolhatin

179-233

Abstract views 1320  
PDF   views 693
DOI: https://doi.org/10.55056/jec.1000
DOI: https://doi.org/10.55056/jec.905

Acoustic Doppler localisation and tracking in 3D space with retardation correction

Andrii V. Riabko, Tetiana A. Vakaliuk, Oksana V. Zaika, Roman P. Kukharchuk

263-287

Abstract views 64  
PDF   views 31
DOI: https://doi.org/10.55056/jec.1201
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