يعرض 1 - 5 نتائج من 5 نتيجة بحث عن '"Winston Luke"', وقت الاستعلام: 0.75s تنقيح النتائج
  1. 1
    دورية أكاديمية
    Meteorological Modeling Using the WRF-ARW Model for Grand Bay Intensive Studies of Atmospheric Mercury

    المؤلفون: Fong Ngan, Mark Cohen, Winston Luke, Xinrong Ren, Roland Draxler

    المصدر: Atmosphere, Vol 6, Iss 3, Pp 209-233 (2015)

    مصطلحات موضوعية: WRF, mercury, nudging, reanalysis data, Grand Bay, Meteorology. Climatology, QC851-999

    وصف الملف: electronic resource

    Relation: http://www.mdpi.com/2073-4433/6/3/209; https://doaj.org/toc/2073-4433

    URL الوصول: https://doaj.org/article/36b7d9d2a2e741929602ffee09a052d8

    Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  2. 2
    دورية أكاديمية
    Exploring Socioeconomic Status as a Global Determinant of COVID-19 Prevalence, Using Exploratory Data Analytic and Supervised Machine Learning Techniques:Algorithm Development and Validation Study.

    المؤلفون: Winston, Luke, McCann, Michael, Onofrei, George

    المصدر: JMIR Formative Research; Sep2022, Vol. 6 Issue 9, p1-18, 18p

    مصطلحات موضوعية: SOCIOECONOMIC status, DISEASE prevalence, COVID-19 pandemic, MACHINE learning, HUMAN Development Index, EPIDEMIOLOGY

    Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
  3. 3
    Supplementary material to 'Multi-model study of mercury dispersion in the atmosphere: Vertical distribution of mercury species'

    المؤلفون: Johannes Bieser, Franz Slemr, Jesse Ambrose, Carl Brenninkmeijer, Steve Brooks, Ashu Dastoor, Francesco DeSimone, Ralf Ebinghaus, Christian Gencarelli, Beate Geyer, Lynne E. Gratz, Ian M. Hedgecock, Daniel Jaffe, Paul Kelley, Che-Jen Lin, Volker Matthias, Andrei Ryjkov, Noelle Selin, Shaojie Song, Oleg Travnikov, Andreas Weigelt, Winston Luke, Xinrong Ren, Andeas Zahn, Xin Yang, Yun Zhu, Nicola Pirrone

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::9a5f5915c26d5ec89f0d896472960805
    https://doi.org/10.5194/acp-2016-1074-supplement

    أضف إلى المفضلة
  4. 4
    Project aguila: In situ measurements of Mexico City air pollution by a research aircraft

    المؤلفون: Allen Schanot, Paula Mccaslin, Heidy Hochstein, G. Sosa, Everett C. Nickerson, Winston Luke

    المصدر: Atmospheric Environment. Part B. Urban Atmosphere. 26:445-451

    مصطلحات موضوعية: In situ, Ozone, Meteorology, General Engineering, Air pollution, Orography, Combustion, medicine.disease_cause, Atmospheric sciences, Pollution, Aerosol, chemistry.chemical_compound, chemistry, medicine, General Earth and Planetary Sciences, Environmental science, Particle size, Sulfur dioxide, General Environmental Science

    URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::0bcd7e2be2745503f78092df4fd36d38
    https://doi.org/10.1016/0957-1272(92)90051-s

    View record from ScienceDirect
    أضف إلى المفضلة
  5. 5
    دورية أكاديمية
    Exploring Socioeconomic Status as a Global Determinant of COVID-19 Prevalence, Using Exploratory Data Analytic and Supervised Machine Learning Techniques: Algorithm Development and Validation Study.

    المؤلفون: Winston L; Department of Computing, Atlantic Technological University, Letterkenny, Ireland., McCann M; Department of Computing, Atlantic Technological University, Letterkenny, Ireland., Onofrei G; Department of Business, Atlantic Technological University, Letterkenny, Ireland.

    المصدر: JMIR formative research [JMIR Form Res] 2022 Sep 27; Vol. 6 (9), pp. e35114. Date of Electronic Publication: 2022 Sep 27.

    نوع المنشور: Journal Article

    بيانات الدورية: Publisher: JMIR Publications Country of Publication: Canada NLM ID: 101726394 Publication Model: Electronic Cited Medium: Internet ISSN: 2561-326X (Electronic) Linking ISSN: 2561326X NLM ISO Abbreviation: JMIR Form Res Subsets: PubMed not MEDLINE

    Find this article in full text from ProQuest Full Text Finder
    أضف إلى المفضلة
أدوات البحث: أحصل على تغذية RSS – أرسل هذا البحث بالبريد الإلكتروني – حفظ البحث – جدول التنبيهات: لا شيء