Results 31 to 40 of about 9,437,828 (334)
Detecting dense text in natural images
IET Computer Vision, 2020 Most existing text detection methods are mainly motivated by deep learning‐based object detection approaches, which may result in serious overlapping between detected text lines, especially in dense text scenarios.
Dianzhuan Jiang +6 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Due to the extremely complex composition of remote sensing scenes, REmote Sensing Image Scene Classification (RESISC) is still a challenging task. To further improve classification accuracy, this article introduces a deep-learning detector into RESISC ...
Xiaoliang Yang +5 more
doaj +1 more source
Detection and identification of tea leaf diseases based on AX-RetinaNet
Scientific Reports, 2022 The accurate detection and identification of tea leaf diseases are conducive to its precise prevention and control. Convolutional neural network (CNN) can automatically extract the features of diseased tea leaves in the images.
Wenxia Bao +4 more
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The role of health policy in the burden of breast cancer in Brazil
BMC Women's Health, 2017 Background Breast cancer affects millions of women worldwide, particularly in Brazil, where public healthcare system is an important model in health organization and the cost of chronic disease has affected the economy in the first decade of the twenty ...
Francisco Winter dos Santos Figueiredo +5 more
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Reconstruction of Ultra-High Vacuum Mass Spectra Using Genetic Algorithms
Applied Sciences, 2021 In ultra-high vacuum systems, obtaining the composition of a mass spectrum is often a challenging task due to the highly overlapping nature of the individual profiles of the gas species that contribute to that spectrum, as well as the high differences in
Carlos Flores-Garrigós +5 more
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Prediction of SMEs’ R&D performances by machine learning for project selection
Scientific Reports, 2023 To improve the efficiency of government-funded research and development (R&D) programs for small and medium enterprises, it is necessary to make the process of selecting beneficiary firm objective.
Hyoung Sun Yoo +2 more
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FEBS Letters, EarlyView.In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali +3 more
wiley +1 more source
Multimodal Video Analysis for Crowd Anomaly Detection Using Open Access Tourism Cameras
Applied SciencesIn this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series in video format using a multimodal approach.
Alejandro Dionis-Ros +4 more
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智慧农业, 2023 ObjectiveLodging constitutes a severe crop-related catastrophe, resulting in a reduction in photosynthesis intensity, diminished nutrient absorption efficiency, diminished crop yield, and compromised crop quality.
ZHANG Gan +8 more
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A Random Sample Partition Data Model for Big Data Analysis [PDF]
, 2017 Big data sets must be carefully partitioned into statistically similar data subsets that can be used as representative samples for big data analysis tasks. In this paper, we propose the random sample partition (RSP) data model to represent a big data set as a set of non-overlapping data subsets, called RSP data blocks, where each RSP data block has a ...
arxiv +1 more source