Zobrazeno 1 - 10
of 199
pro vyhledávání: '"Qingtao Wu"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 7297-7310 (2024)
Abstract Policy Gradient (PG) method is one of the most popular algorithms in Reinforcement Learning (RL). However, distributed adaptive variants of PG are rarely studied in multi-agent. For this reason, this paper proposes a distributed adaptive pol
Externí odkaz:
https://doaj.org/article/6396ec8713a04f02822c1906e004b340
Publikováno v:
Frontiers in Pediatrics, Vol 12 (2024)
BackgroundEpididymal cysts (ECs) are uncommon in the pediatric population. The objective of this study was to evaluate the frequency, clinical characteristics, and management strategies of ECs in children.MethodsWe performed a retrospective review of
Externí odkaz:
https://doaj.org/article/1c004ea52f974e928660bc341c090774
Publikováno v:
Sensors, Vol 24, Iss 16, p 5285 (2024)
In recent years, single-source-data-based deep learning methods have made considerable strides in the field of fault diagnosis. Nevertheless, the extraction of useful information from multi-source data remains a challenge. In this paper, we propose a
Externí odkaz:
https://doaj.org/article/a5f7cb34b3e04e54931578a06b88d3f1
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 262, Iss , Pp 115170- (2023)
Phytoremediation of heavy metal-polluted soils assisted by plant-associated endophytes, is a suitable method for plant growth and manganese (Mn) removal in contaminated soils. This investigation was conducted to evaluate the Mn-resistant endophytic r
Externí odkaz:
https://doaj.org/article/52873b5bcc1143d5925daa4080c5c65f
Publikováno v:
The Journal of Engineering, Vol 2022, Iss 10, Pp 985-993 (2022)
Abstract Zero‐shot learning (ZSL) is to identify target categories without labeled data, in which semantic information is used to transfer knowledge from some seen categories. In the existing Generalized Zero‐Shot Learning (GZSL) methods, domains
Externí odkaz:
https://doaj.org/article/4b8d66f919344baf969f1ed83b3ce6ff
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 1, Pp 267-283 (2022)
Abstract The computational bottleneck in distributed optimization methods, which is based on projected gradient descent, is due to the computation of a full gradient vector and projection step. This is a particular problem for large datasets. To redu
Externí odkaz:
https://doaj.org/article/5807c383284647558f25c9c193a692f9
Publikováno v:
Mathematics, Vol 11, Iss 15, p 3403 (2023)
As a new machine learning technique, federated learning has received more attention in recent years, which enables decentralized model training across data silos or edge intelligent devices in the Internet of Things without exchanging local raw data.
Externí odkaz:
https://doaj.org/article/2f3572ac562c4e7786a23471df21421e
Publikováno v:
Sensors, Vol 23, Iss 13, p 6034 (2023)
Federated learning is served as a novel distributed training framework that enables multiple clients of the internet of things to collaboratively train a global model while the data remains local. However, the implement of federated learning faces ma
Externí odkaz:
https://doaj.org/article/d319c8c6084f4d718f6d5f5e50c80f39
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 18 (2022)
Wireless sensor network has been widely used in different fields, such as structural health monitoring and artificial intelligence technology. The routing planning, an important part of wireless sensor network, can be formalized as an optimization pr
Externí odkaz:
https://doaj.org/article/172f7f463ad6429faf1ac26d3d5bd8ce
Publikováno v:
IEEE Access, Vol 8, Pp 101224-101234 (2020)
Flexible manifold embedding (FME) has been recognized as an effective method for face recognition by integrating both class label information from labeled data and manifold structure information of all data. In order to achieve better performance, th
Externí odkaz:
https://doaj.org/article/8e87d610aea448fe9b78bbdfc71bd663