Zobrazeno 1 - 10
of 72
pro vyhledávání: '"ECA-Net"'
Autor:
S. M. Nuruzzaman Nobel, Omar Faruque Sifat, Md Rajibul Islam, Md Shohel Sayeed, Md Amiruzzaman
Publikováno v:
Emerging Science Journal, Vol 8, Iss 3, Pp 999-1015 (2024)
This research introduces a pioneering solution to the challenges posed by gastrointestinal tract (GI) cancer in radiation therapy, focusing on the imperative task of precise organ segmentation for minimizing radiation-induced damage. GI imaging has h
Externí odkaz:
https://doaj.org/article/e2c54f69310c486c957b41476181b1fb
Publikováno v:
IEEE Access, Vol 12, Pp 62964-62974 (2024)
The detection of defects in printed circuit board (PCB) components is crucial to the quality of PCB. Issues such as blurred details, complex and varied backgrounds, and inadequate recognition of PCB components lead to poor detection accuracy. To addr
Externí odkaz:
https://doaj.org/article/08fd6c2d41f145b88243fa608e29763e
Autor:
Peng Zhang, Mingfeng Jiang, Yang Li, Ling Xia, Zhefeng Wang, Yongquan Wu, Yaming Wang, Huaxiong Zhang
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 13415-13433 (2023)
For wearable electrocardiogram (ECG) acquisition, it was easy to infer motion artifices and other noises. In this paper, a novel end-to-end ECG denoising method was proposed, which was implemented by fusing the Efficient Channel Attention (ECA-Net) a
Externí odkaz:
https://doaj.org/article/9616cbc4d5c3460e992101a046efe9d3
Autor:
Zijian Yuan, Pengwei Shao, Jinran Li, Yinuo Wang, Zixuan Zhu, Weijie Qiu, Buqun Chen, Yan Tang, Aiqing Han
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionAcupoint localization is integral to Traditional Chinese Medicine (TCM) acupuncture diagnosis and treatment. Employing intelligent detection models for recognizing facial acupoints can substantially enhance localization accuracy.MethodsTh
Externí odkaz:
https://doaj.org/article/b2edd40ae69947cfa5a42c638d1f2694
Publikováno v:
IEEE Access, Vol 11, Pp 57951-57964 (2023)
For the complex background along the electrified railroad, there are problems such as missed detection and false detection of invasive small target foreign objects. A high-precision recognition algorithm for small target foreign object detection is p
Externí odkaz:
https://doaj.org/article/73a00041bbbb4fb3981bbccccb04e824
Publikováno v:
BMC Pulmonary Medicine, Vol 22, Iss 1, Pp 1-14 (2022)
Abstract Purpose This paper aims to develop a successful deep learning model with data augmentation technique to discover the clinical uniqueness of chest X-ray imaging features of coal workers' pneumoconiosis (CWP). Patients and methods We enrolled
Externí odkaz:
https://doaj.org/article/4efbb6c466664313a26372dac0f101ab
Publikováno v:
Algorithms, Vol 16, Iss 9, p 452 (2023)
Deep learning has enabled a straightforward, convenient method of road pavement infrastructure management that facilitates a secure, cost-effective, and efficient transportation network. Manual road pavement inspection is time-consuming and dangerous
Externí odkaz:
https://doaj.org/article/dbd5e72356ce4ab4baa20063e7fa9572
Akademický článek
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Publikováno v:
Energy Reports, Vol 7, Iss , Pp 210-217 (2021)
To realize the accurate identification and segmentation of the insulator string in the complex background image with diverse appearance and obscuration, this paper proposes an insulator segmentation method based on improved U-Net. The algorithm embed
Externí odkaz:
https://doaj.org/article/59f60a237ed34f0993fe268cc56619c0
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Pine cones are important forest products, and the picking process is complex. Aiming at the multi-objective and dispersed characteristics of pine cones in the forest, a machine vision detection model (EBE-YOLOV4) is designed to solve the problems of
Externí odkaz:
https://doaj.org/article/3ef274e575014c6b9214ff044ff0df39