深度学习在乌鲁木齐机场能见度预测中的应用The Application of Deep Learning in Urumqi Airport Visibility Forecast
朱国栋
自然科学Vol.10 No.3, 全文下载: PDF HTML XML DOI:10.12677/OJNS.2022.103043, May 31 2022
贵阳机场低能见度和低跑道视程特征及其影响机制分析Characteristics of Low Visibility and Low Runway Visual Range at Guiyang Airport and Analysis of Impact Mechanism
宋 媛, 罗 浩
地理科学研究Vol.12 No.5, 全文下载: PDF HTML XML DOI:10.12677/GSER.2023.125059, October 11 2023
基于随机森林算法对贵阳龙洞堡机场能见度的可预报性研究Research on Visibility Predictability of Longdongbao Airport in Guiyang Based on Random Forest Algorithm
邓小光
自然科学Vol.11 No.3, 全文下载: PDF HTML XML DOI:10.12677/OJNS.2023.113045, May 19 2023
流行构式“当X遇上Y”多角度分析Multi-Angle Analysis of Popular Construction “When X Meets Y”
丁思彦
现代语言学Vol.11 No.4, 全文下载: PDF HTML XML DOI:10.12677/ML.2023.114224, April 25 2023
X-射线荧光光谱压片法测定土壤中元素含量The Determination of Elements in Soil Samples with X Ray Fluorescence Spectrometry
马密霞, 梅 燕, 胡文祥
比较化学Vol.2 No.1, 全文下载: PDF HTML XML DOI:10.12677/CC.2018.21001, August 31 2017
2018年乌鲁木齐机场冻雾导致能见度骤降天气特征分析Comparative Analysis of the Fog Visibility Plummeting Weather Process at Urumqi Airport in 2018
王 楠, 朱 蕾, 刘 佳
气候变化研究快报Vol.8 No.5, 全文下载: PDF DOI:10.12677/CCRL.2019.85064, September 3 2019