Zobrazeno 1 - 10
of 480
pro vyhledávání: '"Frequency transformation"'
Autor:
Kashvi Ankitbhai Sheth, Charvi Upreti, Manas Ranjan Prusty, Sandeep Kumar Satapathy, Shruti Mishra, Sung-Bae Cho
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Myocardial infarction (MI) is a life-threatening medical condition that necessitates both timely and precise diagnosis. The enhancement of automated method to detect MI diseases from Normal patients can play a crucial role in healthcare. Thi
Externí odkaz:
https://doaj.org/article/2593a3f47bd64618a494a02ed6871517
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 7, Pp 3088-3109 (2024)
Abstract Mixed‐flow pump is a typical pump using in low‐head cases of water lifting. The flow field pulsation is usually an important issue in the operation of mixed‐flow pumps and their pumping statins. Due to its large size, it is difficult t
Externí odkaz:
https://doaj.org/article/eb909b42771c4013b74985fde52006a0
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11794-11808 (2024)
Semisupervised change detection (CD) methods have garnered increasing attention due to their capacity to alleviate the dependency of fully-supervised methods on a large number of pixel-level labels. These methods predominantly leverage generative adv
Externí odkaz:
https://doaj.org/article/51bed9a9409349a49ba596878be682d6
Autor:
Jinhui Li, Zhenhong Deng, Yong Tang, Siqi Wang, Zhe Yang, Huageng Luo, Wujun Feng, Baoqiang Zhang
Publikováno v:
Mathematics, Vol 12, Iss 13, p 2076 (2024)
To establish a high-fidelity model of engineering structures, this paper introduces an improved Bayesian model updating method for stochastic dynamic models based on frequency response functions (FRFs). A novel validation metric is proposed first wit
Externí odkaz:
https://doaj.org/article/0c2cc1f31d0844deb6441ea1374f2859
Autor:
Min-Seo Song, Seung-Bo Lee
Publikováno v:
Frontiers in Signal Processing, Vol 4 (2024)
In this study, we highlighted the growing need for automated electrocardiogram (ECG) signal classification using deep learning to overcome the limitations of traditional ECG interpretation algorithms that can lead to misdiagnosis and inefficiency. Co
Externí odkaz:
https://doaj.org/article/b57139bce3bf4d9db21e72639ebb7970
Publikováno v:
IEEE Access, Vol 11, Pp 80702-80715 (2023)
Turbocharger is one of the vital parts of a diesel engine causing a high failure rate. Its surface vibration signal contains important time-varying features. To better process the nonstationary signals with time-varying features and perform the time-
Externí odkaz:
https://doaj.org/article/aebeef825d9b41998002fb877f6c99a5
Publikováno v:
IEEE Access, Vol 11, Pp 16964-16973 (2023)
Nowadays, various new communication technologies operating in different frequency bands emerge constantly. There is a trend to integrate more than one of them into single system, for optimizing whole system performance and volume. As an important cir
Externí odkaz:
https://doaj.org/article/267693cdc332418092064a293df0ec13
Autor:
Yangfeixiao Liu, Wanshou Jiang
Publikováno v:
Remote Sensing, Vol 16, Iss 5, p 731 (2024)
Oriented object detection for remote sensing images poses formidable challenges due to arbitrary orientation, diverse scales, and densely distributed targets (e.g., across terrain). Current investigations in remote sensing object detection have prima
Externí odkaz:
https://doaj.org/article/6e0c04e54bf643a9a1cb9ed701863d59
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Akademický článek
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