Zobrazeno 1 - 10
of 901
pro vyhledávání: '"Edge Devices"'
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100547- (2024)
Tomato yield is significantly affected by diseases, which are a continuous challenge for its production and pose threats to its global supply chain. Automatic and early detection of these diseases could help growers to swiftly adopt mitigation strate
Externí odkaz:
https://doaj.org/article/fe5bf8a4eaee4f2089aa52ef0b351c49
Autor:
Tetiana A. Vakaliuk, Oleksandr V. Andreiev, Oleksandr F. Dubyna, Oksana L. Korenivska, Yevheniya O. Andreieva
Publikováno v:
Journal of Edge Computing, Vol 3, Iss 2 (2024)
When it comes to creating projects based on the use of the Internet of Things (IoT), wireless sensor networks are often used. Edge computing in IoT technology reduces system response delays to sensor output signals and increases the network throughpu
Externí odkaz:
https://doaj.org/article/c896e4ed380e48ff9e873a3b674bca34
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 3, Pp 783-804 (2024)
Edge technology aims to bring cloud resources (specifically, the computation, storage, and network) to the closed proximity of the edge devices, i.e., smart devices where the data are produced and consumed. Embedding computing and application in edge
Externí odkaz:
https://doaj.org/article/717617e0b3614bc3a8b0b8859ce49e21
Autor:
Chander Diwaker, Aarti Sharma
Publikováno v:
Measurement: Sensors, Vol 34, Iss , Pp 101258- (2024)
Clients can increase or decrease the number of resources they use dynamically over time due to the elasticity of cloud resources. As a result, variations in resource demands and predefined VM sizes result in a lack of resource utiliation, load imbala
Externí odkaz:
https://doaj.org/article/62780248d3e94af3b5a61f65353c5f22
Publikováno v:
In Biomedical Signal Processing and Control April 2025 102
Autor:
Ali Ebraheem, Ilya Ivanov
Publikováno v:
Информатика и автоматизация, Vol 23, Iss 2, Pp 377-406 (2024)
In today’s world, the Internet of Things has become an integral part of our lives. The increasing number of intelligent devices and their pervasiveness has made it challenging for developers and system architects to plan and implement systems of In
Externí odkaz:
https://doaj.org/article/e888f6feddf64cfd973afa0d828a13f4
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-21 (2024)
Abstract In Mobile Edge Computing, the framework of federated learning can enable collaborative learning models across edge nodes, without necessitating the direct exchange of data from edge nodes. It addresses significant challenges encompassing acc
Externí odkaz:
https://doaj.org/article/042d6eed51fe4837b3676ab9b06d0666
Publikováno v:
In Journal of Systems Architecture October 2024 155
Autor:
Mostafa Rizk, Adel Chehade
Publikováno v:
IEEE Access, Vol 12, Pp 170346-170378 (2024)
This paper investigates the usage of advanced deep learning (DL) approaches in detecting oil storage tanks, which are widely used in the energy sector. It focuses on the evaluation of the latest emerging YOLOv7 and YOLOv8 object detection models and
Externí odkaz:
https://doaj.org/article/a763b6332ecb425190d68b3a1e53590c
Autor:
Muhammad Usman Hashmi, Azhar Imran, Anas Bilal, Mubariz Garayev, Hanaa Fathi, Sahraoui Dhelim
Publikováno v:
IEEE Access, Vol 12, Pp 159597-159610 (2024)
Time synchronization among edge devices is crucial for ensuring seamless operation in delay-sensitive networks like IoT, smart cities, and industrial automation. These systems cannot reliably support various operations such as distributed data loggin
Externí odkaz:
https://doaj.org/article/7c662928d7b14d6fb92c5853162c5fcf