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Akademický článek

Experimental Tests and Numerical Analyses on Axial Tensile Bearing Capacity of Connection Specimen of Mechanical Sleeve Embedded in Anti-extubation Pile

Autor: Xuzhen CHENG, Zhaosheng GUO, Ming YUAN, Wubin HE, Ruifeng LIU, Chunbo XU, Bin WANG

Publikováno v: Taiyuan Ligong Daxue xuebao, Vol 54, Iss 6, Pp 1134-1143 (2023)

Purposes To verify the axil fensile beaning performance of pre embeded mechanical sleeve connectors used for anti-pulling pile. Methods The axial tension test of 6 groups of anti-pulling pile tensile mechanical sleeve connectors was completed, and th

Externí odkaz: https://doaj.org/article/06104c6d17374a759e468058e8fad7f3

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Akademický článek

Genetic evaluation and germplasm identification analysis on ITS2, trnL-F, and psbA-trnH of alfalfa varieties germplasm resources

Autor: Yong Wang, Chunbo Xu, Laga Tong, Xiaoming Zhang, Mingjiu Wang

Publikováno v: Open Life Sciences, Vol 18, Iss 1, Pp 365-75 (2023)

In this study, genetic diversity and germplasm identification of 28 alfalfa germplasm cultivars materials were evaluated by analyzing their internal transcribed spacer 2 (ITS2), trnL-F, and psbA-trnH sequences to provide the innovative reference of a

Externí odkaz: https://doaj.org/article/eb5f57a810ca4617a3c694f5a1257f0a

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Akademický článek

Research on Aspect-Level Sentiment Analysis Based on Text Comments

Autor: Jing Tian, Wushour Slamu, Miaomiao Xu, Chunbo Xu, Xue Wang

Publikováno v: Symmetry, Vol 14, Iss 5, p 1072 (2022)

Sentiment analysis is the processing of textual data and giving positive or negative opinions to sentences. In the ABSA dataset, most sentences contain one aspect of sentiment polarity, or sentences of one aspect have multiple identical sentiment pol

Externí odkaz: https://doaj.org/article/9ebba1a4a4c645d8bfcbc4192b1b18c0

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Learning multi-frequency features in convolutional network for mammography classification

Autor: Yiming Wang, Yunliang Qi, Chunbo Xu, Meng Lou, Yide Ma

Publikováno v: Medical & Biological Engineering & Computing. 60:2051-2062

Breast cancer is a common life-threatening disease among women. Computer-aided methods can provide second opinion or decision support for early diagnosis in mammography images. However, the whole images classification is highly challenging due to sma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7eee98a6aaed375a515c30e446a621d
https://doi.org/10.1007/s11517-022-02582-4

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Aggregated pyramid attention network for mass segmentation in mammograms

Autor: Xiangyu Deng, Yunliang Qi, Meng Lou, Yide Ma, Chunbo Xu, Wenwei Zhao, Xiaorong Li

Publikováno v: Multimedia Tools and Applications. 81:13335-13353

Intra-class inconsistency and inter-class indistinction are intractable problems that commonly exist in breast mass segmentation from mammograms. In this work, a novel deep learning segmentation model is presented to address these problems. Firstly,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::68efbc77e15f3aca00ace91ffdc44b40
https://doi.org/10.1007/s11042-021-10940-x

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MGBN: Convolutional neural networks for automated benign and malignant breast masses classification

Autor: Yide Ma, Chunbo Xu, Runze Wang, Xiangyu Deng, Wenwei Zhao, Jie Meng, Meng Lou, Yunliang Qi

Publikováno v: Multimedia Tools and Applications. 80:26731-26750

Automated benign and malignant breast masses classification is a crucial yet challenging topic. Recently, many studies based on convolutional neural network (CNN) are presented to address this task, but most of these CNN-based methods neglect the eff

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::262848f2f5439e5f534fd41d343050ec
https://doi.org/10.1007/s11042-021-10929-6

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Adaptive channel and multiscale spatial context network for breast mass segmentation in full-field mammograms

Autor: Wenwei Zhao, Yide Ma, Meng Lou, Xiangyu Deng, Yunliang Qi, Chunbo Xu, Yiming Wang

Publikováno v: Applied Intelligence. 51:8810-8827

Breast cancer is currently the second most fatal cancer in women, but timely diagnosis and treatment can reduce its mortality. Breast masses are the most obvious means of cancer identification, and thus, accurate segmentation of masses is critical. I

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b03906556d6f6b4d8a81ca4f184c8e95
https://doi.org/10.1007/s10489-021-02297-3

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Performance Appraisal Information System for Intelligent HRM Based on SQL and Data Complexity Estimation

Autor: Chunbo Xu

Publikováno v: 2022 International Conference on Electronics and Renewable Systems (ICEARS).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::330f68054c43467a01e9b94b95b194b7
https://doi.org/10.1109/icears53579.2022.9752431

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Random Matrix-Based Multivariate Statistical Analysis of Enterprises in a Distributed Environment Human Resource Management

Autor: Chunbo Xu

Publikováno v: Mathematical Problems in Engineering.

This paper addresses the design of an enterprise human resource management system due to multivariate statistical analysis computation in a random matrix recommendation algorithm in a distributed scenario. This paper defines multivariate statistical

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::048158331722d8354af4a17b94bcb2a0

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