Výsledky vyhledávání - "Chuangchuang Chen"

Akademický článek

Automatic face detection based on bidirectional recurrent neural network optimized by improved Ebola optimization search algorithm

Autor: Guang Gao, Chuangchuang Chen, Kun Xu, Kai Liu, Arsam Mashhadi

Publikováno v: Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)

Abstract Face detection is a multidisciplinary research subject that employs fundamental computer algorithms, image processing, and patterning. Neural networks, on the other hand, have been widely developed to solve challenges in the domains of featu

Externí odkaz: https://doaj.org/article/8c3836464ba846fabfd664a31334635f

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Akademický článek

MarineYOLO: Innovative deep learning method for small target detection in underwater environments

Autor: Linlin Liu, Chengxi Chu, Chuangchuang Chen, Shidong Huang

Publikováno v: Alexandria Engineering Journal, Vol 104, Iss , Pp 423-433 (2024)

In the realm of underwater object detection, conventional methodologies often encounter challenges in accurately identifying and detecting small targets. These difficulties stem primarily from the intricate nature of underwater environments, suboptim

Externí odkaz: https://doaj.org/article/9dc5a1076cbd4184a3df90d840f00246

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Akademický článek

Ultra-broadband diffractive imaging with unknown probe spectrum

Autor: Chuangchuang Chen, Honggang Gu, Shiyuan Liu

Publikováno v: Light: Science & Applications, Vol 13, Iss 1, Pp 1-12 (2024)

Abstract Strict requirement of a coherent spectrum in coherent diffractive imaging (CDI) architectures poses a significant obstacle to achieving efficient photon utilization across the full spectrum. To date, nearly all broadband computational imagin

Externí odkaz: https://doaj.org/article/24469d8a7daa4117b9de20163e81b975

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Akademický článek

Ultra-simplified diffraction-based computational spectrometer

Autor: Chuangchuang Chen, Honggang Gu, Shiyuan Liu

Publikováno v: Light: Science & Applications, Vol 13, Iss 1, Pp 1-10 (2024)

Abstract Miniaturizing spectrometers for compact and cost-effective mobile platforms is a major challenge in current spectroscopy research, where conventional spectrometers are impractical due to their bulky footprint. Existing miniaturized designs p

Externí odkaz: https://doaj.org/article/08aa7f5f8a744b95b9edc58becf8802b

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Akademický článek

An Innovative Deep Learning Approach for Image Semantic and Instance Segmentation

Autor: Chuangchuang Chen, Guang Gao, Linlin Liu, Yangyang Qiao

Publikováno v: Journal of Computing and Information Technology, Vol 31, Iss 3, Pp 167-183 (2023)

In this study, we propose a segmentation model based on convolutional neural networks (CNNs) to address image segmentation challenges in computer vision. Prior to designing the model, the activation function and other modules of the convolutional neu

Externí odkaz: https://doaj.org/article/948ce16cbde745759e200203d0d2f6c1

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Akademický článek

Evaluation of the Long-Term Performances of SMA-13 Containing Different Fibers

Autor: Bangwei Wu, Xing Wu, Peng Xiao, Chuangchuang Chen, Ji Xia, Keke Lou

Publikováno v: Applied Sciences, Vol 11, Iss 11, p 5145 (2021)

To clarify the influence of fiber type on the long-term performance of stone mastic asphalt (SMA), this paper used basalt fiber (BF) and lignin fiber (LF) to modify SMA-13 (SMA with aggregate nominal maximum particle size of 13.2 mm) asphalt mixture.

Externí odkaz: https://doaj.org/article/5c59c3079e1b4c6ebc26a899f9a0a322

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