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Comprehensive Review of Multimodal Medical Data Analysis: Open Issues and Future Research Directions
Acta Informatica Pragensia, 2022 Over the past few decades, the enormous expansion of medical data has led to searching for ways of data analysis in smart healthcare systems. Acquisition of data from pictures, archives, communication systems, electronic health records, online documents,
Shashank Shetty +2 more
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International Journal of Population Data Science, 2023 There has been a recent emphasis to establish and codify large-scale or national Trusted Research Environments (TREs) in the United Kingdom, with a view to limit smaller, local TREs.
Katherine O'Sullivan, Katie Wilde
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Region based data extraction [PDF]
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012 Wrappers are tools used to extract relevant information from HTML pages. Current approaches use DOM tree, visual cue, and ontology to extract data. DOM tree based techniques are fast and simple. However, they are not as accurate as visual based wrappers due to lack of additional information needed to perform data extraction.
Pui Leng Goh +3 more
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An Automated Method for Extracting and Analyzing Railway Infrastructure Cost Data
Buildings, 2023 The capability of extracting information and analyzing it so that it is in a common format is essential for performing predictions, comparing projects through cost benchmarking, and having a deeper understanding of the project costs. However, the lack of
Daniel Adanza Dopazo +2 more
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Virtual shoe test system [PDF]
ITM Web of Conferences, 2022 In order to solve the problem of uncomfortable wearing shoes caused by foot type or shoe type of consumers, a virtual shoe test system is developed based on computer graphics knowledge.
Deng Changqing +2 more
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Data-Free Model Extraction [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Current model extraction attacks assume that the adversary has access to a surrogate dataset with characteristics similar to the proprietary data used to train the victim model. This requirement precludes the use of existing model extraction techniques on valuable models, such as those trained on rare or hard to acquire datasets.
Jean-Baptiste Truong +3 more
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European Journal of Remote Sensing, 2020 This paper presents a Neural Convolutional Network (NCN) based approach for learning traffic as images and predicting high accuracy network-wide broad traffic speed.
Wei Wang +2 more
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Data Middle Platform Construction and Application of Intelligent Power Stations
Zhongguo dianli, 2021 In order to solve such problems as data island and low data utilization rate of existing systems for intelligent power station construction, a data middle platform is designed.
Yi WANG, Zhiwei WANG, Xin HE
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BlogForever D2.6: Data Extraction Methodology [PDF]
, 2013 This report outlines an inquiry into the area of web data extraction, conducted within the context of blog preservation. The report reviews theoretical advances and practical developments for implementing data extraction.
Banos, V. +4 more
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Applied Sciences, 2023 Over the past few years, a considerable number of researchers have shown great interest in reversible data hiding for encrypted images (RDHEI). One popular category among various RDHEI methods is the reserving room before encryption (RRBE) approach ...
Muhannad Alqahtani, Atef Masmoudi
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