THE Big Apple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

New York Pop Up Book

為了解決THE Big Apple的問題，作者Ehrhard, Dominique 這樣論述：

A fun, interactive pop-up book celebrating the monuments and landmarks that make the Big Apple the world’s most popular tourist destination.A selection of New York’s most iconic settings and architectural wonders unfold in seven pop-ups contained in a charming pint-sized package, making it easy t

o carry along while on tour. Easy to tuck in a bag or a pocket, this book is truly the perfect souvenir or gift for tourists as well as anyone who wants to share their love of the Big Apple. Each spread delivers an iconic building or monument accompanied by a two-page spread with text profiling the

historical background and cultural significance of the structure or scene depicted in the pop-up. The package is designed with a retro feel and features vintage-style street maps as backgrounds for the pop-ups and other graphic elements that make this an elegant, charming gift or souvenir. Represent

ed as pop-ups are a range of traditional and contemporary New York scenes known the world over that nearly every visitor wants to experience or photograph for their Instagram: the Statue of Liberty, the Empire State Building, the Guggenheim Museum, Times Square, Brooklyn Bridge, the Freedom Tower, a

nd the Oculus. Artist Dominique Ehrhard has created a one-of-a-kind object that will delight all ages.

THE Big Apple進入發燒排行的影片

會員制無人商店的精準行銷之研究

為了解決THE Big Apple的問題，作者陳建仁 這樣論述：

科技的進步，並且網路的發展日漸與生活結合在一起，再加上行動裝置的普及等條件，促使人們在消費行為已陸續的將以往在實體營業據點且高度仰賴現金的模式開始移轉到無實體或無接觸的消費場域。2020起COVID-19疫情的肆虐下更加速改變人們的消費習慣，從禁止外出到能不外出就不外出，避免遭受疫情的感染，人們以減少對陌生人接觸的原則改變了原有的生活模式。因此推動了網路電商的第二次發展再起、以及外送平台的竄出。透過無實體或零接觸方式的消費比重在未來的消費比重可望持續提升，店家除了要把產品上架在上述通路外已是必然，但上架只是增加銷售的曝光度，真正的重點是如何主動出擊?讓消費者前來進行銷費。會員制的消費規則建立

目的起初除是為了能有較為穩定的會員消費者，如今可透過蒐集會員的消費紀錄，累積成有用的大數據，提供店家進行大數據的分析，讓其能夠善用執行行銷時的主要指引。透過分析資料，了解顧客的消費喜好、消費頻率、消費習慣，用於商家在進行行銷策略的主軸，以發現潛在的目標客戶，主動的提供/發送行銷資訊，將更有效率的達到提升營收的目的，以及避免過多無效的行銷成本的投放，減降營業費用以達到企業經營獲利目標。

Stillwater and Koo Save the World

為了解決THE Big Apple的問題，作者Muth, Jon J. 這樣論述：

Here is the first book in an exciting new four-book series for younger readers featuring the beloved Zen panda, Stillwater -- star of the Caldecott Honor Book and New York Times bestseller, Zen Shorts, and of the Peabody Award and Emmy Award-winning Apple+ TV series.A Junior Library Guild Gold St

andard Selection＂Today feels full of opportunities,＂ said Stillwater.What would you like to do?＂＂Something important! said his nephew, Koo.Let us save the world!＂But that’s such a big job.The world is so big.And Koo is just a small panda.During the course of the day, Koo straightens his room, feeds

his cat and the hungry fish outside, and he bakes a cake to welcome new neighbors. He even helps a family of ducklings to safely cross a street. But still, Koo wonders, how will HE ever save the world? At the end of the day, Uncle Stillwater has the answer: You did so many things today that made the

world a better place.And each time you do the right thing--you save the world a little bit.In a story brimming with love and light, Jon J Muth shows how we can all heal the world a little bit at a time -- just the right message for now -- and always!

口罩配戴影像辨識在不同環境影響之探討-以高斯雜訊為例

為了解決THE Big Apple的問題，作者林郁修 這樣論述：

世界各地受到新型冠狀病毒的影響，外出佩戴口罩成了人們基本防疫措施，為了降低不必要的接觸風險部分工作場所與設施都將防疫系統架設在門口，測量體溫、辨識人臉上的口罩等都涵蓋在防疫系統功能中而且這些功能與物件偵測技術息息相關，但考慮到實際情況的環境變化和干擾都會影響物件偵測系統的辨識效果，其中影像雜訊干擾就是影響辨識效果的因素之一，因此本論文探討高斯雜訊影像對於物件偵測統效能的影響及辨識上的變化。本研究使用深度學習結合影像辨識的應用YOLO V4物件偵測系統辨識人臉上的口罩訓練及辨識原始口罩影像和加入不同程度高斯雜訊影響的口罩影像，在口罩數據集準備階段利用四種狀況的數據集訓練YOLO V4模型分別為

：(狀況1)原始口罩影像數據集、(狀況2)將原始口罩影像數據集全部影像加入高斯雜訊環境、(狀況3)將原始口罩影像數據集的部分影像加入高斯雜訊環境、(狀況4)原始口罩影像數據集+部分影像加入高斯雜訊環境口罩影像數據集(又可以稱為經過數據增強的原始口罩影像數據集)，比較四種狀況數據集的模型效能與辨識效果。從實驗結果中得知，經過數據增強的狀況4數據集mAP為76.72%且辨識原始口罩影像和三種不同程度高斯雜訊環境影像的平均辨識率達到81.25%，是四種狀況數據集模型中最好的一組，同時也證明根據環境因素需求以數據增強方式提升數據集數量確實能夠提升模型效能和辨識效果。