Zobrazeno 1 - 10
of 1 391
pro vyhledávání: '"Zheng Bowen"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Aiming at the problems of error detection and missing detection in night target detection, this paper proposes a night target detection algorithm based on YOLOv7(You Only Look Once v7). The algorithm proposed in this paper preprocesses image
Externí odkaz:
https://doaj.org/article/028df3b68f3d45a4815bab6028ec5265
Autor:
An Sensong, Zheng Bowen, Julian Matthew, Williams Calum, Tang Hong, Gu Tian, Zhang Hualiang, Kim Hyun Jung, Hu Juejun
Publikováno v:
Nanophotonics, Vol 11, Iss 17, Pp 4149-4158 (2022)
In this paper, we propose a deep learning approach for forward modeling and inverse design of photonic devices containing embedded active metasurface structures. In particular, we demonstrate that combining neural network design of metasurfaces with
Externí odkaz:
https://doaj.org/article/5070ff0a19d8442eb950dff42e267d82
Publikováno v:
Di-san junyi daxue xuebao, Vol 44, Iss 4, Pp 346-355 (2022)
Objective To explore the role of ezrin in the formation of invadopodia in hepatocellular carcinoma (HCC) cells. Methods GEPIA database was used to analyze the expression correlation between ezrin and the invadopodia marker cortactin in HCC tissues at
Externí odkaz:
https://doaj.org/article/8fc91caefc444198bf2d3cdd83e9936a
Neural Green's Function Accelerated Iterative Methods for Solving Indefinite Boundary Value Problems
Neural operators, which learn mappings between the function spaces, have been applied to solve boundary value problems in various ways, including learning mappings from the space of the forcing terms to the space of the solutions with the substantial
Externí odkaz:
http://arxiv.org/abs/2410.06919
Optical motion capture (MoCap) is the "gold standard" for accurately capturing full-body motions. To make use of raw MoCap point data, the system labels the points with corresponding body part locations and solves the full-body motions. However, MoCa
Externí odkaz:
http://arxiv.org/abs/2410.02788
Graph neural network (GNN) has been a powerful approach in collaborative filtering (CF) due to its ability to model high-order user-item relationships. Recently, to alleviate the data sparsity and enhance representation learning, many efforts have be
Externí odkaz:
http://arxiv.org/abs/2409.05633
Recently, generative recommendation has emerged as a promising new paradigm that directly generates item identifiers for recommendation. However, a key challenge lies in how to effectively construct item identifiers that are suitable for recommender
Externí odkaz:
http://arxiv.org/abs/2409.05546
Prostate cancer is the second most common cancer in males worldwide, and mpMRI is commonly used for diagnosis. However, interpreting mpMRI is challenging and requires expertise from radiologists. This highlights the urgent need for automated grading
Externí odkaz:
http://arxiv.org/abs/2408.09746
In this work, we propose and analyze two two-level hybrid Schwarz preconditioners for solving the Helmholtz equation with high wave number in two and three dimensions. Both preconditioners are defined over a set of overlapping subdomains, with each p
Externí odkaz:
http://arxiv.org/abs/2408.07669
Infrared and visible image fusion has been developed from vision perception oriented fusion methods to strategies which both consider the vision perception and high-level vision task. However, the existing task-driven methods fail to address the doma
Externí odkaz:
http://arxiv.org/abs/2407.10047