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2,128 results on '"Zhang, Yuhua"'

2. AMANet: Advancing SAR Ship Detection with Adaptive Multi-Hierarchical Attention Network

Author

Ma, Xiaolin, Cheng, Junkai, Li, Aihua, Zhang, Yuhua, and Lin, Zhilong

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, 68T45, I.2.10
Abstract

Recently, methods based on deep learning have been successfully applied to ship detection for synthetic aperture radar (SAR) images. Despite the development of numerous ship detection methodologies, detecting small and coastal ships remains a significant challenge due to the limited features and clutter in coastal environments. For that, a novel adaptive multi-hierarchical attention module (AMAM) is proposed to learn multi-scale features and adaptively aggregate salient features from various feature layers, even in complex environments. Specifically, we first fuse information from adjacent feature layers to enhance the detection of smaller targets, thereby achieving multi-scale feature enhancement. Then, to filter out the adverse effects of complex backgrounds, we dissect the previously fused multi-level features on the channel, individually excavate the salient regions, and adaptively amalgamate features originating from different channels. Thirdly, we present a novel adaptive multi-hierarchical attention network (AMANet) by embedding the AMAM between the backbone network and the feature pyramid network (FPN). Besides, the AMAM can be readily inserted between different frameworks to improve object detection. Lastly, extensive experiments on two large-scale SAR ship detection datasets demonstrate that our AMANet method is superior to state-of-the-art methods., Comment: 11 pages, 7 figures

Published
2024

7. The superior value of radiomics to sonographic assessment for ultrasound-based evaluation of extrathyroidal extension in papillary thyroid carcinoma: a retrospective study

Author

Zhu Hui, Luo Hongxia, Li Yanyan, Zhang Yuhua, Wu Zhijing, and Yang Yan

Subjects
ultrasonic radiomics, extrathyroidal extension, sonography, papillary thyroid carcinoma, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Extrathyroidal extension was related with worse survival for patients with papillary thyroid carcinoma. For its preoperative evaluation, we measured and compared the predicting value of sonographic method and ultrasonic radiomics method in nodules of papillary thyroid carcinoma.

Published
2024
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13. Survey of Visual Tracking Algorithms in the Complex Scenarios

Author

Yu Mingxin, Wang Changlong, Zhang Yuhua, Xing Na, Li Aihua, Ma Xiaolin

Subjects
visual object tracking, discriminative visual tracking model, correlation filter, deep learning, Motor vehicles. Aeronautics. Astronautics, TL1-4050
Abstract

Visual object tracking is a fundamental problem in computer vision. It has been widely used in civilian and military fields, such as battlefield reconnaissance, video surveillance, automatic driving, video analysis, and many other areas. In recent years, although the object tracking algorithm has made great progress, stable object tracking is still a challenging task due to random target changes and complex scenarios. Firstly, the difficulties and challenges in actual tracking scenarios are introduced in this paper. Then, aiming at the background clutter, rotation changes, occlusion, and scale changes, the representative discriminative object tracking algorithms are summarized and analyzed from the perspective of feature extraction, observation model, and model update mechanism. Subsequently, 25 typical tracking algorithms are evaluated and analyzed on OTB2015 database. Finally, the further research directions are prospected.

Published
2024
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15. Research on the Application Software Design of University Campus Friend-Making Needs Based on Kano Model

Author

Zhang, Guanqun, He, Boqian, Zhu, Yanfei, Li, Zhuoxin, Yin, Chenxiao, Li, Ying, Zhang, Yuhua, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Marcus, Aaron, editor, Rosenzweig, Elizabeth, editor, and Soares, Marcelo M., editor

Published
2024
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16. A Method for Identifying Meat Quality Based on CNN-SVM

Author

Zhao, Peiying, Zhang, Yuhua, Zhang, Jianxi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Zhang, Yonghong, editor, Qi, Lianyong, editor, Liu, Qi, editor, Yin, Guangqiang, editor, and Liu, Xiaodong, editor

Published
2024
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17. Node-level community detection within edge exchangeable models for interaction processes

Author

Zhang, Yuhua and Dempsey, Walter

Subjects
Statistics - Methodology
Abstract

Scientists are increasingly interested in discovering community structure from modern relational data arising on large-scale social networks. While many methods have been proposed for learning community structure, few account for the fact that these modern networks arise from processes of interactions in the population. We introduce block edge exchangeable models (BEEM) for the study of interaction networks with latent node-level community structure. The block vertex components model (B-VCM) is derived as a canonical example. Several theoretical and practical advantages over traditional vertex-centric approaches are highlighted. In particular, BEEMs allow for sparse degree structure and power-law degree distributions within communities. Our theoretical analysis bounds the misspecification rate of block assignments, while supporting simulations show the properties of the network can be recovered. A computationally tractable Gibbs algorithm is derived. We demonstrate the proposed model using post-comment interaction data from Talklife, a large-scale online peer-to-peer support network, and contrast the learned communities from those using standard algorithms including spectral clustering and degree-correct stochastic block models.

Published
2022

21. Personalized Cancer Monitoring Assay for the Detection of ctDNA in Patients with Solid Tumors

Author

Zhao, Jianhua, Reuther, Jacquelyn, Scozzaro, Kaylee, Hawley, Megan, Metzger, Emily, Emery, Matthew, Chen, Ingrid, Barbosa, Michelle, Johnson, Laura, O’Connor, Alijah, Washburn, Mike, Hartje, Luke, Reckase, Erik, Johnson, Verity, Zhang, Yuhua, Westheimer, Emily, O’Callaghan, William, Malani, Nirav, Chesh, Adrian, Moreau, Michael, and Daber, Robert

Published
2023
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37. Laparoscopic versus open surgery for perihilar cholangiocarcinoma: a multicenter propensity score analysis of short- term outcomes

Author

Wang, Min, Qin, Tingting, Zhang, Hang, Li, Jingdong, Deng, Xiaxing, Zhang, Yuhua, Zhao, Wenxing, Fan, Ying, Li, Dewei, Chen, Xuemin, Feng, Yechen, Zhu, Siwei, Xing, Zhongqiang, Yu, Guangsheng, Xu, Jian, Xie, Junjie, Dou, Changwei, Ma, Hongqin, Liu, Gangshan, Shao, Yue, Chen, Weibo, Liu, Jun, Liu, Jianhua, Yin, Xinmin, and Qin, Renyi

Published
2023
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47. The Long-Term Outcome of Laparoscopic Resection for Perihilar Cholangiocarcinoma Compared with the Open Approach: A Real-World Multicentric Analysis

Author

Qin, Tingting, Wang, Min, Zhang, Hang, Li, Jingdong, Deng, Xiaxing, Zhang, Yuhua, Zhao, Wenxing, Fan, Ying, Li, Dewei, Chen, Xuemin, Feng, Yechen, Zhu, Siwei, Xing, Zhongqiang, Yu, Guangsheng, Xu, Jian, Xie, Junjie, Dou, Changwei, Ma, Hongqin, Liu, Gangshan, Shao, Yue, Chen, Weibo, Xu, Simiao, Liu, Jun, Liu, Jianhua, Yin, Xinmin, and Qin, Renyi

Published
2023
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48. Dynamic analysis of digitally-driven technology upgrades and environments based on DAG-SVAR models-a case study of the United States of America

Author

Lyu Yifei, Gao Jie, Wang Jie, and Zhang Yuhua

Subjects
digital-driven, technology upgrades, environment, dag-svar model, 97n80, Mathematics, QA1-939
Abstract

Digitalization is a fundamentally disruptive force triggered by the fourth Industrial Revolution and the Internet of Things, driving technology upgrades, so what impact does digitalization have on the environment? In this paper, DAG-SVAR model was constructed to verify it. Through impulse response analysis, it was found that digitization drives technological upgrades, and environmental pollution is reduced through intelligent production, improved information environment, and ameliorated governance level. This paper suggests that, on the one hand, the technology upgrade is the key to digital empowerment in new fields and new spaces. Enterprises need to constantly explore diversified application scenarios, help the digital and intelligent transformation of energy, transportation, manufacturing and other industries, and greatly promote the integration and interaction of technology and various fields and sustainable development; on the other hand, it is necessary to strengthen digital ecological governance, promote the interconnection of everything, human-computer interaction, and the integration of space and land, so that information resources can fully flow, to create a digital green ecology.

Published
2024
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