The Swarm的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

The World Is Our Stage: The Global Rhetorical Presidency and the Cold War

為了解決The Swarm的問題，作者Prasch, Allison M. 這樣論述：

＂A fresh account of the US presidential rhetoric embodied in Cold War international travel. Crowds swarm when US presidents travel abroad, though many never hear their voices. The presidential body, moving from one secured location to another, communicates as much or more to these audiences than

the texts of their speeches. In The World is Our Stage, Allison M. Prasch considers how presidential appearances overseas broadcast American superiority during the Cold War. Drawing on extensive archival research, Prasch examines five foundational moments in the development of what she calls the ＂gl

obal rhetorical presidency:＂ Truman at Potsdam, Eisenhower’s ＂Goodwill Tours,＂ Kennedy in West Berlin, Nixon in the People’s Republic of China, and Reagan in Normandy. In each case, Prasch reveals how the president’s physical presence defined the boundaries of the ＂Free World＂ and elevated the Unite

d States as the central actor in Cold War geopolitics＂

The Swarm進入發燒排行的影片

設計與實作應用於西瓜採集無人機系統之人工智慧電腦視覺系統

為了解決The Swarm的問題，作者馬約瑟 這樣論述：

本文設計和實現了一種用於採集、導航和檢測西瓜的計算機視覺系統的,該系統使用無人駕駛飛機且無需人工干預。該系統實現了單板計算機Nvidia Jetson Nano和為圖像傳輸樣式(Pix2Pix)而創建的捲積神經網絡。這些元素整合在一起用於檢測,姿態估計和導航以達到目標。所有流程均由狀態機管理,該狀態機負責激活或停用在後台運行的不同流程步驟。ROS平台用於創建不同進程之間的數據交換。無人機使用稱為mavlink的標準化協議來將單板計算機與飛行計算機進行通信。ROS環境中的mavros用於解釋兩個元素之間的所有數據。無人機的目標是創建一個無監督的系統以快速便捷的方式處理繁重的任務,例如西瓜收穫。

用於檢測的神經網絡結構經設計可達到30幀FPS,可在配套計算機中滿足較高的可靠性,較低的內存使用以及快速判斷來滿足這三個條件,這些條件對於實現自主飛行是必不可少的。

Origami Orchids Kit: Die-Cut Paper Flowers with Display Stands (20 Unique Models)

為了解決The Swarm的問題，作者 這樣論述：

Create beautiful paper models of 20 orchid species! Display native orchids with these realistic paper replicas that you simply pop-out and glue together--no scissors required! These paper sculptures were produced under the direction of scientists at the North American Orchid Conservation Center,

which is located at the Smithsonian Environmental Research Center’s United States Botanic Garden. This kit features: A full-color book presenting fascinating information about the orchid species. Precut pieces for 20 beautiful 3D paper orchids Detailed assembly instructions for each model, which ar

e ranked by difficulty A display base for each modelThe accompanying book explains the efforts that are underway to conserve threatened and endangered native North American species. The project introductions show photos of the finished models as well as stunning photos of each model’s living counter

part. The amazing collection of orchids in this kit includes: The Showy Lady’s Slipper Orchid: the tallest US-native orchid, which is threatened in part due to its 15-year maturation period The Water Spider Orchid: North America’s only aquatic orchid, which exudes a chemical deterrent to protect it

s tender roots from predation The Dragon’s Mouth Orchid: attracts pollinating bumblebees through strong ultraviolet inflorescence The Cigar Orchid, also know as the Bee Swarm Orchid: has become endangered through over-collecting The Striped Coralroot Orchid: doesn’t manufacture food through photosyn

thesis, but rather survives through a parasitic relationship with a fungus The Rattlesnake Plantain Orchid: an evergreen species with patterned leaves that resemble snake skin, and a flower spike that looks like a rattlesnake’s rattle

以機器學習輔助之進化演算法 實現考量參數變異的快速類比電路尺寸調整方法

為了解決The Swarm的問題，作者郭東杰 這樣論述：

進化演算法被廣泛應用於各種優化問題，因其高準確度和對不同電路的強適應性，相當適合被應用在類比電路尺寸設計上。然而，若在電路尺寸設計中考慮製程變異的影響，將會大量增加電路模擬次數，使其無法被應用於大規模電路上。儘管最近的一些相關研究採用了機器學習技術來加速優化過程，但很少有人在他們的方法中考慮製程變異的影響。在本篇論文中，我們提出了一種應用於類比電路尺寸設計的進化演算法，可以快速地考慮製程變異對良率影響。透過機器學習模型，我們能夠在進行模擬前初步預測新電路樣本的效能好壞，並過濾掉表現可能較差的新電路樣本，節省許多不必要的模擬時間，加快收斂的速度。此外，我們也提出了一種新的類力學模型來引導演算法

優化良率。基於先前過程中的電路樣本，所提出的類力學模型可以預測設計是否具有更好的良率，而無需執行耗時的蒙特卡羅分析。與先前的研究相比，我們所提出的方法顯著減少了進化演算法過程的模擬次數，有助於產生具有高可靠性和低成本的實用設計。相同的概念也可以用在類比電路遷移，大幅縮短改變製程時的尺寸再優化時間。從幾個類比電路的實驗來看，我們的方法確實非常有效率。