A satellite-based climatology of transverse cirrus band occurrence using deep learning : a thesis
| العنوان: | A satellite-based climatology of transverse cirrus band occurrence using deep learning : a thesis |
|---|---|
| المؤلفون: | Miller, Jeffrey |
| Call Numbers: | QC801.M555 S375 2018 ETHESIS |
| وصف مادي: | 1 online resource (xii, 58, v pages) : illustrations, color Electronic data (1 file : 6.9 mb). |
| Supplemental Data: | Mode of access: World Wide Web. System requirements: Adobe reader. Contents viewed August 13, 2018; title from title screen. |
| الموضوعات: | Satellite meteorology., Cirrus clouds., Machine learning., Neural networks (Computer science), Météorologie par satellite., Cirrus., Apprentissage automatique., Réseaux neuronaux (Informatique), Satellite meteorology., Neural networks (Computer science), Machine learning., Cirrus clouds. |
| مصطلحات الفهرس: | Academic theses., Academic theses., Thèses et écrits académiques. |
| URL: | |
| الإتاحة: | All rights reserved by the author unless otherwise indicated. |
| ملاحظة: | Includes bibliographical references. |
| أرقام أخرى: | MWR 1048402731 |
| المصدر المساهم: | From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1048402731 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |