Results 1 to 10 of about 7,901,654 (351)
IEEE AccessPregnancy complications significantly impact maternal and fetal health, requiring accurate and timely diagnostic methods for life-saving interventions.
Ariana Deyaneira Jimenez-Narvaez +6 more
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UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery
International Journal of Applied Earth Observations and Geoinformation, 2021 This paper presents a Convolutional Neural Networks (CNN) based Unsupervised Curriculum Learning approach for the recognition of water bodies to overcome the stated challenges for remote sensing based RGB imagery. The unsupervised nature of the presented
Nosheen Abid +6 more
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Deep Learning in Software Engineering [PDF]
arXiv, 2018 Recent years, deep learning is increasingly prevalent in the field of Software Engineering (SE). However, many open issues still remain to be investigated. How do researchers integrate deep learning into SE problems? Which SE phases are facilitated by deep learning? Do practitioners benefit from deep learning?
arxiv
Scientific ReportsAccessible mammography datasets and innovative machine learning techniques are at the forefront of computer-aided breast cancer diagnosis. However, the opacity surrounding private datasets and the unclear methodology behind the selection of subset images
Ling Liao, Eva M. Aagaard
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Moving Deep Learning into Web Browser: How Far Can We Go? [PDF]
arXiv, 2019 Recently, several JavaScript-based deep learning frameworks have emerged, making it possible to perform deep learning tasks directly in browsers. However, little is known on what and how well we can do with these frameworks for deep learning in browsers.
arxiv
Frontiers in NeurologyObjectiveWe investigated treatment persistence and adherence for levodopa adjunct medications and their relationship with demographic factors in Japanese patients with Parkinson’s disease (PD).MethodsThis longitudinal retrospective study used a Japanese ...
Masahiro Nagai +5 more
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Greedy Deep Dictionary Learning [PDF]
arXiv, 2016 In this work we propose a new deep learning tool called deep dictionary learning. Multi-level dictionaries are learnt in a greedy fashion, one layer at a time. This requires solving a simple (shallow) dictionary learning problem, the solution to this is well known. We apply the proposed technique on some benchmark deep learning datasets. We compare our
arxiv
Sensory-memory interactions via modular structure explain errors in visual working memory
eLifeErrors in stimulus estimation reveal how stimulus representation changes during cognitive processes. Repulsive bias and minimum variance observed near cardinal axes are well-known error patterns typically associated with visual orientation perception ...
Jun Yang, Hanqi Zhang, Sukbin Lim
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Inequality in breast cancer: Global statistics from 2022 to 2050
BreastThis study evaluates the global inequalities of breast cancer incidence and mortality from 2022 to 2050 with the latest GLOBOCAN estimates. It focuses on disparities across continents, age groups and Human Development Index (HDI) levels.
Ling Liao
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Autonomous Wi-Fi Direct connectivity maintenance scheme
ICT Express, 2023 In the emergency situations, Wi-Fi Direct (WFD) can provide group-based communications between group owner (GO) and group members (GMs). However, when GO disappears voluntarily or involuntarily, the group connectivity is terminated. For the re-connection,
Mingyu Joo, Haneul Ko, Yeunwoong Kyung
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