Results 31 to 40 of about 812,194 (338)
Nature Communications, 2022 Despite the potential of deep learning (DL)-based methods in substituting CT-based PET attenuation and scatter correction for CT-free PET imaging, a critical bottleneck is their limited capability in handling large heterogeneity of tracers and scanners ...
R. Guo +13 more
semanticscholar +1 more source
Systematic Reviews, 2017 Background Tobacco smoking is a leading cause of disease and premature mortality among Aboriginal and Torres Strait Islander (Indigenous) Australians. While the daily smoking prevalence among Indigenous Australians has declined significantly from 49% in ...
Catherine Chamberlain +9 more
doaj +1 more source
Applied Sciences, 2019 Liquefaction is considered a damaging phenomenon of earthquakes and a major cause of concern in civil engineering. Therefore, its predictory assessment is an essential task for geotechnical experts.
Mahmood Ahmad +3 more
doaj +1 more source
Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis
Journal of manufacturing systems, 2021 Manufacturing has adopted technologies such as automation, robotics, industrial Internet of Things (IoT), and big data analytics to improve productivity, efficiency, and capabilities in the production environment.
Guoyan Li +4 more
semanticscholar +1 more source
PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting [PDF]
SIGSPATIAL/GIS, 2020 When predicting PM2.5 concentrations, it is necessary to consider complex information sources since the concentrations are influenced by various factors within a long period.
Shuo Wang +5 more
semanticscholar +1 more source
Physics Enhanced Data-Driven Models With Variational Gaussian Processes
IEEE Open Journal of the Industrial Electronics Society, 2021 Centuries of development in natural sciences and mathematical modeling provide valuable domain expert knowledge that has yet to be explored for the development of machine learning models.
Daniel L. Marino, Milos Manic
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Domain knowledge for surveillance applications [PDF]
2007 10th International Conference on Information Fusion, 2007 In this paper, we address the problem of representing domain knowledge for situation awareness in a security application. While ontologies are appropriate for describing taxonomical knowledge, they cannot express more complex knowledge such as entailments.
SNIDARO, Lauro +2 more
openaire +2 more sources
UmlsBERT: Clinical Domain Knowledge Augmentation of Contextual Embeddings Using the Unified Medical Language System Metathesaurus [PDF]
North American Chapter of the Association for Computational Linguistics, 2020 Contextual word embedding models, such as BioBERT and Bio_ClinicalBERT, have achieved state-of-the-art results in biomedical natural language processing tasks by focusing their pre-training process on domain-specific corpora.
George Michalopoulos +4 more
semanticscholar +1 more source
Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19
IEEE Transactions on Medical Imaging, 2021 Lung ultrasound (LUS) is a cheap, safe and non-invasive imaging modality that can be performed at patient bed-side. However, to date LUS is not widely adopted due to lack of trained personnel required for interpreting the acquired LUS frames.
Oz Frank +12 more
semanticscholar +1 more source
How social media expression can reveal personality
Frontiers in Psychiatry, 2023 BackgroundPersonality psychology studies personality and its variation among individuals and is an essential branch of psychology. In recent years, machine learning research related to personality assessment has started to focus on the online environment
Nuo Han +12 more
doaj +1 more source