Empowering the Edge: Research advances from doors 2024-Reference-Cited by-同舟云学术

Empowering the Edge: Research advances from doors 2024

Published:2024-05-21 Issue:1 Volume:3 Page:3-27
ISSN:2837-181X
Container-title:Journal of Edge Computing
language:
Short-container-title:J. Edge Comp.

Author:

Vakaliuk Tetiana A.^ORCID,Semerikov Serhiy O.^ORCID

Abstract

The 4th Edge Computing Workshop (doors 2024) held in Zhytomyr, Ukraine, aimed to bring together researchers to share advances and applications in edge computing, a critical technology for enabling the Internet of Things and analytics close to data sources. This report summarises the event, highlighting the peer-reviewed papers covering topics from edge hardware to AI and security. The nine accepted papers, selected from 19 submissions, propose innovative approaches to advance the field. Common themes include leveraging edge computing for sensing applications and addressing resource utilisation and management challenges. The workshop stimulated valuable discussion and collaboration around these important research directions.

Publisher

Academy of Cognitive and Natural Sciences

Reference73 articles.

1. Adamov, A., Mehdiyev, S. and Seyidzade, E., 2014. Good practice of data modeling and database design for UMIS. Course registration system implementation. 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT). pp.1–4. Available from: https://doi.org/10.1109/ICAICT.2014.7035949.

2. Ahmed, Z., Shanto, S.S. and Jony, A.I., 2023. Advancement in Bangla Sentiment Analysis: A Comparative Study of Transformer-Based and Transfer Learning Models for E-commerce Sentiment Classification. Journal of Information Systems Engineering and Business Intelligence, 9(2), p.181–194. Available from: https://doi.org/10.20473/jisebi.9.2.181-194.

3. Ahvar, E., Ahvar, S., Raza, S.M., Manuel Sanchez Vilchez, J. and Lee, G.M., 2021. Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges. Network, 1(1), pp.28–49. Available from: https://doi.org/10.3390/network1010004.

4. Bae, J. and Moon, B., 2009. Time synchronization with fast asynchronous diffusion in wireless sensor network. 2009 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery. pp.82–85. Available from: https://doi.org/10.1109/CYBERC.2009.5342158.

5. Balyk, N., Leshchuk, S. and Yatsenyak, D., 2023. Design and implementation of an IoT-based educational model for smart homes: a STEM approach. Journal of Edge Computing, 2(2), p.148–162. Available from: https://doi.org/10.55056/jec.632.

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Editorial for JEC Volume 3 Issue 1 (2024);Journal of Edge Computing;2024-05-21