Results 11 to 20 of about 5,202 (206)
Fossil image identification using deep learning ensembles of data augmented multiviews
Methods in Ecology and Evolution, Volume 14, Issue 12, Page 3020-3034, December 2023., 2023 Abstract Identification of fossil species is crucial to evolutionary studies. Recent advances from deep learning have shown promising prospects in fossil image identification. However, the quantity and quality of labelled fossil images are often limited due to fossil preservation, conditioned sampling and expensive and inconsistent label annotation by ...
Chengbin Hou +6 more
wiley +1 more source
Conservation Biology, Volume 37, Issue 5, October 2023., 2023 Abstract Understanding how habitat fragmentation affects individual species is complicated by challenges associated with quantifying species‐specific habitat and spatial variability in fragmentation effects within a species’ range. We aggregated a 29‐year breeding survey data set for the endangered marbled murrelet (Brachyramphus marmoratus) from >42 ...
Jonathon J. Valente +7 more
wiley +1 more source
Integrative Conservation, Volume 2, Issue 2, Page 80-94, June 2023., 2023 The objective of this study is to characterise ecological connectivity for mammals and identify important patches and linkages for connecting urban green spaces for Greater Kuala Lumpur, Malaysia. Our results demonstrate the potential for Southeast Asian megacities to support biodiversity in the urban context, and the potential for a different kind of ...
Jennifer Danneck +6 more
wiley +1 more source
Nailfold capillaroscopy and deep learning in diabetes 甲襞毛细血管镜检测与深度学习在糖尿病中的应用
Journal of Diabetes, Volume 15, Issue 2, Page 145-151, February 2023., 2023 Highlights Nailfold capillary images were obtained by performing nailfold video capillaroscopy in 120 adult patients with and without diabetes. Over 5000 photographs were analyzed using machine‐learning approaches, and these models were clearly able to distinguish people based on diabetes status.
Reema Shah +6 more
wiley +1 more source
How to address data privacy concerns when using social media data in conservation science
Conservation Biology, Volume 35, Issue 2, Page 437-446, April 2021., 2021 Abstract Social media data are being increasingly used in conservation science to study human–nature interactions. User‐generated content, such as images, video, text, and audio, and the associated metadata can be used to assess such interactions. A number of social media platforms provide free access to user‐generated social media content.
Enrico Di Minin +4 more
wiley +1 more source
Journal of Advanced Nursing, Volume 76, Issue 11, Page 3104-3112, November 2020., 2020 Abstract Objectives To describe how Registered Nurses make use of a Clinical Decision Support System to triage calls to emergency medical dispatch centres, from the perspective of professional autonomy. Design The study had a descriptive design with a qualitative inductive approach.
Inger K. Holmström +4 more
wiley +1 more source
Automated Assessment for Bone Age of Left Wrist Joint in Uyghur Teenagers by Deep Learning [PDF]
, 2018 Objective To realize the automated bone age assessment by applying deep learning to digital radiography （DR） image recognition of left wrist joint in Uyghur teenagers, and explore its practical application value in forensic medicine bone age assessment ...
HU Ting-Hong, HUO Zhong, LIU Tai-Ang，et al.
core +1 more source
Dianci bileiqi, 2021 针对以传统人工方式巡检电网工作效率低、危险性高、成本大,而现行基于图像处理技术的自动巡检方案针对性差、识别精度低的问题,本研究基于图像识别技术及相关算法,提出了一种针对绝缘子缺陷、爆裂故障的检测方法。该方法借助形态学滤波、Otsu方法、Snake模型、免疫遗传算法、椭圆拟合以及连通区域等技术,对绝缘子图像进行预处理、轮廓提取和数目计算,从而实现对绝缘子故障的精确检测。实际测试与分析结果表明,该方法能够较好地识别绝缘子故障,识别准确率能够达到98.5%,且具有理想的识别速度。
刘国伟, 何锦雄, 杨永
doaj
Applying deep learning to right whale photo identification
Conservation Biology, Volume 33, Issue 3, Page 676-684, June 2019., 2019 Abstract Photo identification is an important tool for estimating abundance and monitoring population trends over time. However, manually matching photographs to known individuals is time‐consuming. Motivated by recent developments in image recognition, we hosted a data science challenge on the crowdsourcing platform Kaggle to automate the ...
Robert Bogucki +5 more
wiley +1 more source
Developmental Medicine &Child Neurology, Volume 61, Issue 3, Page E1-E35, March 2019., 2019 目的 本国际临床指南由欧洲残疾儿童学会（the European Academy of Childhood Disability，EACD）牵头制定，旨在解决发育性协调障碍（developmental coordination disorder，DCD）的定义、诊断、评估、干预以及与社会心理方面的临床应用关键问题。 方法 本指南针对五个领域的关键问题，通过文献综述和专家团队的正式讨论达成共识。为保证指南的循证基础，以“机制”、“评估”和“干预”为检索词, 对2012年更新以来提出的最新建议以及新增的“社会心理问题”和“青少年/成人”为检索词进行检索。根据牛津大学循证医学中心证据等级 (证据水平 [level of evidence, LOE]1–4) 将结果进行分类，最终转化为指南建议。并由国际 ...
Jing Hua +6 more
wiley +1 more source