Zobrazeno 1 - 10
of 727
pro vyhledávání: '"adaptive training"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 11, Pp 3051-3064 (2024)
Addressing the issue of inter-class similarity is a challenging task in the research of autonomous driving scene classification, which primarily focuses on learning the distinctive features of targets in real-world complex traffic scenarios with high
Externí odkaz:
https://doaj.org/article/d88c3d311e11452399e52d01fc2f78d5
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e34928- (2024)
Model Order Reduction (MOR) techniques have extensive applications across scientific and engineering disciplines, such as neutron field reconstruction of nuclear reactor cores, thermoelastic field reconstruction, fluid, and solid mechanics. In the pr
Externí odkaz:
https://doaj.org/article/b3f08b4122384bbfaeae9c704ab4fa44
Publikováno v:
In Heliyon 15 August 2024 10(15)
Publikováno v:
Industrial and Commercial Training, 2023, Vol. 55, Issue 4, pp. 568-579.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/ICT-02-2023-0006
Publikováno v:
IEEE Access, Vol 12, Pp 182496-182515 (2024)
Split federated (SplitFed) learning offers promise for collaborative machine learning across decentralized and resource-constrained clients (edge devices, nodes, or organizations) in various applications, including healthcare. However, real-world cha
Externí odkaz:
https://doaj.org/article/91d73ed8a00444718a01c1e61f89f5fc
Autor:
Spyros Rigas, Michalis Papachristou, Theofilos Papadopoulos, Fotios Anagnostopoulos, Georgios Alexandridis
Publikováno v:
IEEE Access, Vol 12, Pp 176982-176998 (2024)
Physics-Informed Neural Networks (PINNs) have emerged as a robust framework for solving Partial Differential Equations (PDEs) by approximating their solutions via neural networks and imposing physics-based constraints on the loss function. Traditiona
Externí odkaz:
https://doaj.org/article/d83e28da526d4bf4837d3e79304c1580
Publikováno v:
Journal of Pain Research, Vol Volume 17, Pp 73-81 (2024)
Jiawei Lu,1 Kai Guo,1 Elaine Zhiqing Liu,2 Corben Braun,3 Yufeng Huang,1 Desheng Wu1 1Department of Spine Surgery, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, People’s Republic of China; 2Center for Asian Health, Lewis K
Externí odkaz:
https://doaj.org/article/76e9d29a91ad43b084091f4221572cfa
Publikováno v:
Gong-kuang zidonghua, Vol 49, Iss 11, Pp 160-166 (2023)
Traditional object detection algorithms require manual feature extraction when recognizing abnormal behavior of miners queuing, resulting in long detection time and low detection precision. The object detection algorithm based on convolutional neural
Externí odkaz:
https://doaj.org/article/0df57fadd0534c49a9d2554f69e7ff9d
Autor:
Chaoxiang Chen, Vladimir Golovko, Aliaksandr Kroshchanka, Egor Mikhno, Marta Chodyka, Piotr Lichograj
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Unsupervised learning based on restricted Boltzmann machine or autoencoders has become an important research domain in the area of neural networks. In this paper mathematical expressions to adaptive learning step calculation for RBM with ReLU transfe
Externí odkaz:
https://doaj.org/article/db41bf22ac614dc1927ec0f5735a86f3
Autor:
Alessandro Verniani, Ellery Galvin, Sandra Tredinnick, Esther Putman, Eric A. Vance, Torin K. Clark, Allison P. Anderson
Publikováno v:
Frontiers in Virtual Reality, Vol 5 (2024)
Training complex skills is typically accomplished by means of a trainer or mediator who tailors instruction to the individual trainee. However, facilitated training is costly and labor intensive, and the use of a mediator is infeasible in remote or e
Externí odkaz:
https://doaj.org/article/b081bdd9f22842ceb1554900a5e9d31c