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Jiajia Peng and Tianbing Tang
Image captioning, also recognized as the challenge of transforming visual data into coherent natural language descriptions, has persisted as a complex problem. Traditional approaches often suffer from semantic gaps, wherein the generated textual descript...
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Yaowei Feng, Zhendong Li, Dong Yang, Hongkai Hu, Hui Guo and Hao Liu
The segmentation of optic disc (OD) and optic cup (OC) are used in the automatic diagnosis of glaucoma. However, the spatially ambiguous boundary and semantically uncertain region-of-interest area in pictures may lead to the degradation of the performanc...
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Xingguo Zhang, Yinping Sun, Qize Li, Xiaodi Li and Xinyu Shi
Aiming at the problem that the existing crowd counting methods cannot achieve accurate crowd counting and map visualization in a large scene, a crowd density estimation and mapping method based on surveillance video and GIS (CDEM-M) is proposed. Firstly,...
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Yihao Sun, Han Hu, Yawen Han, Ziyan Wang and Xiaodi Zheng
Many cities worldwide have large amounts of industrial vacant land (IVL) due to development and transformation, posing a growing problem. However, the large-scale identification of IVL is hindered by obstacles such as high cost, high variability, and clo...
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Hasna Boumechaal and Zizette Boufaida
Querying Linked Data is one of the most important issues for the semantic web community today because it requires the user to understand the structure and vocabularies used in various data sources. Furthermore, users must be familiar with the syntax of q...
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Pavlina Fragkou and Leandros Maglaras
Open data portals contain valuable information for citizens and business. However, searching for information can prove to be tiresome even in portals tackling domains similar information. A typical case is the information residing in the European Commiss...
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Qijia Li, Feng Li, Shuchao Li, Xiaoyu Li, Kang Liu, Qing Liu and Pengcheng Dong
Entity linking involves mapping ambiguous mentions in documents to the correct entities in a given knowledge base. Most of the current methods are a combination of local and global models. The local model uses the local context information around the ent...
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Aliya Jangabylova, Alexander Krassovitskiy, Rustam Mussabayev and Irina Ualiyeva
The documents similarity metric is a substantial tool applied in areas such as determining topic in relation to documents, plagiarism detection, or problems necessary to capture the semantic, syntactic, or structural similarity of texts. Evaluated result...
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Nenad Cu?-Babic, Sara Filipa Guerra De Oliveira and Andrej Tibaut
The duplication of semantic data modelled in different disciplines poses interoperability challenges. Information models that benefit from the application of standards that enable data reusability and prevent redundancy and misuse should be compatible, p...
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Jasmin Carus, Sylvia Nürnberg, Frank Ückert, Catarina Schlüter and Stefan Bartels
A great challenge in the use of standardized cancer registry data is deriving reliable, evidence-based results from large amounts of data. A solution could be its mapping to a common data model such as OMOP, which represents knowledge in a unified semant...
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