Zobrazeno 1 - 10
of 1 705
pro vyhledávání: '"broad learning"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 9, Pp 1454-1464 (2024)
The charging safety of electric vehicle (EV) is closely related to the state of health (SOH) in power battery pack. Therefore, the high-performance and real-time estimation of SOH is an important basis for safety detection in the charging process. Po
Externí odkaz:
https://doaj.org/article/8725e07487f142c58c48f1f969477403
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 5, pp. 713-723.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-01-2024-0019
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 3, Pp 728-739 (2024)
The popularity of the Internet of Things (IoT) has enabled a large number of vulnerable devices to connect to the Internet, bringing huge security risks. As a network-level security authentication method, device fingerprint based on machine learning
Externí odkaz:
https://doaj.org/article/fa082e539c2b44fd9728b313ec88b5c6
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract To deal with the highly nonlinear and time-varying characteristics of Batch Process, a model named adaptive stacking approximate kernel based broad learning system is proposed in this paper. This model innovatively introduces the approximate
Externí odkaz:
https://doaj.org/article/c36856a6013c4d6596fcf5dd8a1fa046
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38725- (2024)
Achieving high production in the top coal caving process from thick coal seams is crucial. Thus, the timely decision of when to stop caving poses an urgent challenge to impact the mining loss rate and cost recovery. To address this issue, an innovati
Externí odkaz:
https://doaj.org/article/475ae197e81643268abe64a398c194ee
Autor:
Liming Cheng, Jiaqi Xiong, Junwei Duan, Yuhang Zhang, Chun Chen, Jingxin Zhong, Zhiguo Zhou, Yujuan Quan
Publikováno v:
Frontiers in Computational Neuroscience, Vol 18 (2024)
IntroductionEpilepsy is a common neurological condition that affects a large number of individuals worldwide. One of the primary challenges in epilepsy is the accurate and timely detection of seizure. Recently, the graph regularized broad learning sy
Externí odkaz:
https://doaj.org/article/4ec7fc53f610403cabf6c1112170b34b
Autor:
Xiaoming Yuan, Jiahui Chen, Ning Zhang, Qiang (John) Ye, Changle Li, Chunsheng Zhu, Xuemin Sherman Shen
Publikováno v:
Engineering, Vol 33, Iss , Pp 178-189 (2024)
High-efficiency and low-cost knowledge sharing can improve the decision-making ability of autonomous vehicles by mining knowledge from the Internet of Vehicles (IoVs). However, it is challenging to ensure high efficiency of local data learning models
Externí odkaz:
https://doaj.org/article/60735424a0af46d8b1cb8802613348b9
Publikováno v:
IEEE Access, Vol 12, Pp 115112-115123 (2024)
Temperature forecasting of grain in storage is crucial for timely granary temperature control, mitigating adverse effects of extreme temperatures on grain quality. Traditional machine learning methods struggle with stability and high error rates in g
Externí odkaz:
https://doaj.org/article/754585ac08f04f4697e0b82aeca67872
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2608-2625 (2024)
In the drug discovery process, time and costs are the most typical problems resulting from the experimental screening of drug-target interactions (DTIs). To address these limitations, many computational methods have been developed to achieve more acc
Externí odkaz:
https://doaj.org/article/0dd46e54386543b191ea87ca15869cb9
Publikováno v:
IEEE Access, Vol 12, Pp 19388-19404 (2024)
This paper proposes a novel adaptive predictive Proportional-Integral-Derivative (PID) controller utilizing an output recurrent fuzzy broad learning systems (ORFBLS) for Multiple-Input Multiple-Output (MIMO) digital control systems, aiming to effecti
Externí odkaz:
https://doaj.org/article/6c2f190bd7b9488b84c2e86f1377c9ed