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Akademický článek

Large-Scale Spatial–Temporal Identification of Urban Vacant Land and Informal Green Spaces Using Semantic Segmentation

Autor: Xinlei Hu, Shuo Zhuang

Publikováno v: Remote Sensing, Vol 16, Iss 2, p 216 (2024)

The large-scale identification of urban vacant land (UVL) and informal green spaces (IGSs) using conventional identification methods is challenged by the high cost of time and resources as well as inconsistent outcomes. Moreover, the spatial–tempor

Externí odkaz: https://doaj.org/article/47861a91fedd44ffa06d0d975cd8c367

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Akademický článek

FTC-Net: Fusion of Transformer and CNN Features for Infrared Small Target Detection

Autor: Meibin Qi, Liu Liu, Shuo Zhuang, Yimin Liu, Kunyuan Li, Yanfang Yang, Xiaohong Li

Publikováno v: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 8613-8623 (2022)

Single-frame infrared small target detection is still a challenging task due to the complex background and unobvious structural characteristics of small targets. Recently, convolutional neural networks (CNN) began to appear in the field of infrared s

Externí odkaz: https://doaj.org/article/5459db903a434c8680f62f4f941be22f

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Akademický článek

Conformal Test Martingale-Based Change-Point Detection for Geospatial Object Detectors

Autor: Gang Wang, Zhiying Lu, Ping Wang, Shuo Zhuang, Di Wang

Publikováno v: Applied Sciences, Vol 13, Iss 15, p 8647 (2023)

Unsupervised domain adaptation for object detectors addresses the problem of improving the cross-domain robustness of object detection from label-rich to label-poor domains, which has been explored in many studies. However, one important issue in ter

Externí odkaz: https://doaj.org/article/a3a92933214743069cff6e1e61ed99bb

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Akademický článek

Leaf Counting with Multi-Scale Convolutional Neural Network Features and Fisher Vector Coding

Autor: Boran Jiang, Ping Wang, Shuo Zhuang, Maosong Li, Zhenfa Li, Zhihong Gong

Publikováno v: Symmetry, Vol 11, Iss 4, p 516 (2019)

The number of leaves in maize plant is one of the key traits describing its growth conditions. It is directly related to plant development and leaf counts also give insight into changing plant development stages. Compared with the traditional solutio

Externí odkaz: https://doaj.org/article/ffdf1fd746524aceac3d9d3a3d6dfa3a

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Akademický článek

A Single Shot Framework with Multi-Scale Feature Fusion for Geospatial Object Detection

Autor: Shuo Zhuang, Ping Wang, Boran Jiang, Gang Wang, Cong Wang

Publikováno v: Remote Sensing, Vol 11, Iss 5, p 594 (2019)

With the rapid advances in remote-sensing technologies and the larger number of satellite images, fast and effective object detection plays an important role in understanding and analyzing image information, which could be further applied to civilian

Externí odkaz: https://doaj.org/article/0359401fb1274ab5a488f65e91046982

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Characterization of inulolytic enzymes from the Jerusalem artichoke–derived Glutamicibacter mishrai NJAU-1

Autor: Dan Lian, Shuo Zhuang, Chen Shui, Shicheng Zheng, Yanhong Ma, Zongjiu Sun, Jaime R. Porras-Domínguez, Ebru Toksoy Öner, Mingxiang Liang, Wim Van den Ende

Publikováno v: Applied Microbiology and Biotechnology. 106:5525-5538

The rhizosphere context of inulin-accumulating plants, such as Jerusalem artichoke (Helianthus tuberosus), is an ideal starting basis for the discovery of inulolytic enzymes with potential for bio fructose production. We isolated a Glutamicibacter mi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0996e351383988c40687f733580e6e14
https://doi.org/10.1007/s00253-022-12088-6

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Reliable Data Sharing by Certificateless Encryption Supporting Keyword Search Against Vulnerable KGC in Industrial Internet of Things

Autor: Chun-I Fan, Arijit Karati, Er-Shuo Zhuang

Publikováno v: IEEE Transactions on Industrial Informatics. 18:3661-3669

Outsourcing Industrial-IoT (IIoT) data on the cloud extends the diversity of data analysis for decision making with minimized costs in communications and storage. However, it is adverse to the confidentiality of IIoT-data from the owner as access con

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::538c6da858cfac679cd1111340258c50
https://doi.org/10.1109/tii.2021.3112986

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