Zobrazeno 1 - 10
of 901
pro vyhledávání: '"network training"'
Publikováno v:
IEEE Access, Vol 12, Pp 160190-160204 (2024)
Training of convolutional neural networks (CNN) consumes a lot of time and resources. While most previous works have focused on accelerating the convolutional (CONV) layer, the proportion of non-convolutional (non-CONV) layers, such as batch normaliz
Externí odkaz:
https://doaj.org/article/25b659e0974b47cab0202f7a4c608ae7
Publikováno v:
IEEE Access, Vol 12, Pp 39450-39469 (2024)
In the rapidly evolving domain of brain-to-brain communication, safeguarding the transmission of information against adversarial threats is paramount. This study introduces an advanced approach to enhance the resilience and security of brain-to-brain
Externí odkaz:
https://doaj.org/article/e1b346c8a9014ef997cfa339ef44eec9
Publikováno v:
مهندسی منابع آب, Vol 16, Iss 59, Pp 79-96 (2024)
AbstractIntroduction: An artificial neural network (ANN) is a powerful data-driven tool capable of learning the linear and nonlinear relationships governing different systems. However, determining the best-performing algorithm in terms of convergence
Externí odkaz:
https://doaj.org/article/0fa67b472ff74a60918ce86a769397a4
Autor:
Yu Han, Xiaowei Zhu
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2023, Iss 1, Pp 1-18 (2023)
Abstract The data are sent by the nodes taking part in frequency hopping communications (FHC) utilising carrier frequencies and time slots that are pseudo-randomly assigned. Because of this, a high degree of protection against eavesdropping and anti-
Externí odkaz:
https://doaj.org/article/bf3e0442fbc242f58b686bb3d2325104
Publikováno v:
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, Vol 2023, Iss 2, Pp 69-86 (2023)
В обучении искусственной нейронной сети одной из центральных проблем является начальная инициализация и настройка весовых коэффициен
Externí odkaz:
https://doaj.org/article/7ba5e39ad95c4a078f3711330bb77838
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 22, Iss 3, Pp 1598-1636 (2023)
Design of steel-reinforced concrete (SRC) beams can be a lengthy process, and understanding how design parameters as many as over 26 influence each other can be difficult. In this study, an artificial neural network was trained with large structural
Externí odkaz:
https://doaj.org/article/e0af7ab125ec490f9bf0c5656866f982
Autor:
Alexander A. Vorobyov, Alexander A. Migrov, Irina Yu. Romanova, Stanislav S. Evtyukov, Oleg V. Moskvichev
Publikováno v:
International Journal of Advanced Studies, Vol 13, Iss 1, Pp 229-251 (2023)
Background. This article presents the composition and algorithm of the automated control system for the parameters of a pneumatic arch-breaking system installed on bunkers with bulk materials. The relevance and practical significance of the issue con
Externí odkaz:
https://doaj.org/article/a0305940c1944a50ae9f872d3ea33715
Autor:
Ayman Elhalwagy, Tatiana Kalganova
Publikováno v:
IEEE Access, Vol 11, Pp 121212-121230 (2023)
The generalisation of Neural Networks (NN) to multiple datasets is often overlooked in literature due to NNs typically being optimised for specific data sources. This becomes especially challenging in time-series tasks due to difficulties in fusing t
Externí odkaz:
https://doaj.org/article/2c3a85b1776048b3a5120924f3e979ab
Autor:
Archie J. Huang, Shaurya Agarwal
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 4, Pp 279-293 (2023)
Since its introduction in 2017, physics-informed deep learning (PIDL) has garnered growing popularity in understanding the systems governed by physical laws in terms of partial differential equations (PDEs). However, empirical evidence points to the
Externí odkaz:
https://doaj.org/article/83f8f571d2e240e0b827af7415738eda
Autor:
M. A. Mirzaev
Publikováno v:
Сельскохозяйственные машины и технологии, Vol 16, Iss 3, Pp 74-80 (2022)
The existing range of plant identification methods and tools is considered limited in real agrotechnical tasks. The image parameters tend to differ significantly in applied solutions. (Research purpose) To develop an algorithm for crop plant recognit
Externí odkaz:
https://doaj.org/article/e3b5ae49d6b44c5b8a267b93e1610551