Legends of Vietnam: Super Tweet

STEPHEN JOINER

首页> 外文期刊>Air and Space >Legends of Vietnam: Super Tweet

【24h】

Legends of Vietnam: Super Tweet

机译：越南传奇：超级推特

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Looking for mach-busting splendorin milrnlion-dollar wonders from the heavies of the U.S. military-industrial complex? This ain't it. The A-37 Dragonfly was a waist-high, subsonic light attack aircraft that could lift its own weight in fuel and armaments, built by a manufacturer known for civilian pleasure craft. You could get a half-dozen for the price of a single F-4. The A-37 brought jet-propelled combat in Vietnam down from rarefied heights to the low-and-slow-where the acrid haze of rice-buming season permeated the unpressurized cockpit and you plucked bullets from Viet Cong small arms out of the armor plate under your seat after a mission.

机译：从美国军工联合体的沉重中寻找破坏马赫的辉煌金银合金奇迹吗？不是吗A-37蜻蜓是一种高腰，亚音速的轻型攻击机，可以提高燃料和武器的重量，这是由一家以民用游乐艇着称的制造商制造的。一架F-4的价格可能是您的六分之一。 A-37将越南的喷气式战斗从稀有的高度降到了低谷和低谷，激进的稻谷燃烧季节笼罩着浓雾，无人驾驶的机舱弥漫，您从越共小型武器中抽出子弹执行任务后在您的座位下坐下。

著录项

来源
《Air and Space》 |2010年第6期|42-49|共8页
作者
STEPHEN JOINER;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Legend: A Harrowing Story from the Vietnam War of One Green Beret's Heroic Mission to Rescue a Special Forces Team Caught Behind Enemy Lines [J] . Thomas Nypaver Military review . 2016,第2期

机译：传奇：一个绿色贝雷帽在英军线下营救一支特种部队的英勇任务的越南战争中的悲惨故事
2. Unsupervised collective-based framework for dynamic retraining of supervised real-time spam tweets detection model [J] . Washha Mandi, Qaroush Aziz, Mezghani Manel, Expert Systems with Application . 2019,第NOVa期

机译：基于无监督的基于集体的框架，可对受监督的实时垃圾邮件推文检测模型进行动态再训练
3. Rumor detection in Arabic tweets using semi-supervised and unsupervised expectation-maximization [J] . Alzanin Samah M., Azmi Aqil M. Knowledge-Based Systems . 2019,第Deca1期

机译：使用半监督和无监督期望最大化的阿拉伯语推文中的谣言检测
4. Relevancy assessment of tweets using supervised learning techniques: Mining emergency related tweets for automated relevancy classification [C] . Matthias Habdank, Nikolai Rodehutskors, Rainer Koch International Conference on Information and Communication Technologies for Disaster Management . 2017

机译：使用监督学习技术的推文相关性评估：挖掘与紧急情况相关的推文，以实现自动相关性分类
5. Predicting U.S. Senate and House Electoral Outcomes with Twitter: Supervised Aggregated Sentiment Analysis of Tweets [D] . Nouhan, Peter Michael Egon 2019

机译：通过Twitter预测美国参议院和众议院选举结果：推文的监督汇总情绪分析
6. Unsupervised acquisition of idiomatic units of symbolic natural language: An n-gram frequency-based approach for the chunking of news articles and tweets [O] . Dario Borrelli, Gabriela Gongora Svartzman, Carlo Lipizzi 2020

机译：无监督的象征自然语言惯用单位的收购：新闻文章和推文的分组的基于n克频率的方法
7. The War of 1812 in 140 Characters or Less: "SuperCool or Super Un-tweet Worthy?" [O] . Katy Lalonde, Chris Sanagan, Sean Smith 2014

机译：1812年的战争140个字符或更少：“超级汇总或超级卷曲值得？”

Legends of Vietnam: Super Tweet

摘要

著录项

相似文献

相关主题

期刊订阅