韓劇電影你都看哪一部呢？論文書籍站
Anna Elsa的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列線上看、影評和彩蛋懶人包
Anna Elsa的問題，我們搜遍了碩博士論文和台灣出版的書籍，推薦Knowles, Heather寫的 Disney Frozen: Anna and Elsa’’s Hygge Life 和Francis, Suzanne的 Disney Frozen 2: Explore the North都 可以從中找到所需的評價。
另外網站安娜(迪士尼) - 维基百科，自由的百科全书也說明：安娜（英語：Anna）是華特迪士尼影業第53部經典動畫長片《冰雪奇缘》，以及其續集《冰雪奇緣2》（ ... Anna and Elsa From "Frozen" - First Appearance at Walt Disney World in ...
這兩本書分別來自 和所出版 。
長庚大學 電機工程學系 沙庫瑪所指導 Djeane Debora Onthoni的 使用深度學習方法分析ADPKD患者的非顯影和顯影電腦斷層圖像的電腦視覺任務 （2021），提出Anna Elsa關鍵因素是什麼，來自於no。
而第二篇論文逢甲大學 航太與系統工程學系 郭文雄所指導 羅胤明的 回收碳纖維氈複合材料之微結構與機械性質研究 （2021），提出因為有 回收碳纖維、碳纖維氈、熱塑性複合材料、熱固性複合材料的重點而找出了 Anna Elsa的解答。
最後網站Frozen 2 | Frozen | Toys & Character | George at ASDA則補充：Shop our Frozen and Frozen 2 character range. From fancy dress costumes, character clothing to bedding, cushions and LEGO sets inspired by Elsa, ...
Disney Frozen: Anna and Elsa’’s Hygge Life
為了解決Anna Elsa 的問題，作者Knowles, Heather 這樣論述：
Anna Elsa進入發燒排行的影片
#迪士尼 #皮克斯 #彩蛋
上次說到迪士尼動畫的客串彩蛋
發現也蠻多人喜歡這個類型的
我覺得上一集講到料理鼠王裡面
有畫家在畫裸女的畫面最讓我驚訝！
一起來看看 那些不說不會發現有人走錯棚的畫面吧！！
0:00 片頭
0:51 皮克斯檯燈
1:39 伊芙造型杯
2:08 氏族徽章-勇敢傳說
2:50 圖案致敬-汽車總動員
3:38 隱世高手-韓大夫
4:19 旅途愉快-炸彈客
5:11 雜誌封面-樂樂
5:44 BRANG-萊莉爸爸
7:30 靈魂急轉彎
8:30 小海龜
9:12 冰雪奇緣小雪人
10:01 小象衣服
10:31 盜版DVD
11:06 地方阿姨需要XX
11:39 貓咪史迪奇
12:00 木蘭餐廳
12:39 小兄弟
13:17 彩蛋大集合
----------------
FB @TEEPRVideo
IG @balabala_lab
Sherry Youtube頻道【 @HOLY Sherry 】https://reurl.cc/RdmkzG
個人ig : @holy_sherry
每週二和週四晚上7點上線，記得收聽囉🎙
官方哔哩哔哩(bilibili)帳號：
BF-TEEPR叭啦叭啦研究室
使用深度學習方法分析ADPKD患者的非顯影和顯影電腦斷層圖像的電腦視覺任務
為了解決Anna Elsa 的問題，作者Djeane Debora Onthoni 這樣論述：
ContentsABSTRACT. . . . . . . iTABLE OF CONTENTS. . . . . . . iiLIST OF FIGURES. . . . . . . viLIST OF TABLES. . . . . . . viiiLIST OF ABBREVIATIONS. . . . . . . ix1 Introduction 11.1 Medical Imaging . . . . . . . . . . . . . . . . . . 11.1.1 Ultrasound . . . . . . . . . . . . . . . . . . . 11.1.2
Magnetic Resonance Imaging . . . . . . . . . . . 21.1.3 Computed Tomography . . . . . . . . . . . . . . . 31.2 Artificial Intelligence . . . . . . . . . . . . . . 51.2.1 Machine Learning . . . . . . . . . . . . . . . . 51.2.1.1 Supervised Learning . . . . . . . . . . . . . . 51.2.1.2 Unsupervised
Learning . . . . . . . . . . . . . 61.2.2 Deep Learning . . . . . . . . . . . . . . . . . . 71.2.2.1 Classification Task . . . . . . . . . . . . . . 81.2.2.2 Localization Task . . . . . . . . . . . . . . . 91.2.2.3 Segmentation Task . . . . . . . . . . . . . . . 101.3 Kidney Disease . . . . . . . .
. . . . . . . . . . 111.4 Motivations . . . . . . . . . . . . . . . . . . . . 131.4.1 Non-contrast-enhanced Computed Tomography . . . . 141.4.2 Contrast-enhanced Computed Tomography . . . . . . 151.4.3 Localization and Segmentation for analyzing TKV . 151.5 Main Contributions . . . . . . . . . . .
. . . . . 161.6 Thesis Organization . . . . . . . . . . . . . . . . 162 Related works 182.1 Without Artificial Intelligence . . . . . . . . . . 182.2 With Artificial Intelligence . . . . . . . . . . . 192.2.1 Localization of ADPKD . . . . . . . . . . . . . . 192.2.2 Segmentation of ADPKD . . . .
. . . . . . . . . . 213 Automatic ADPKD Kidneys Localization Model on NCCT and CCT 233.1 Introduction . . . . . . . . . . . . . . . . . . . 233.2 Materials and Methods . . . . . . . . . . . . . . . 243.2.1 Data Acquisition . . . . . . . . . . . . . . . . 243.2.2 Ground Truth Annotation . . . . . .
. . . . . . . 253.2.3 Methods . . . . . . . . . . . . . . . . . . . . . 253.2.3.1 Preprocessing . . . . . . . . . . . . . . . . . 253.2.3.2 Dataset Partition . . . . . . . . . . . . . . . 273.2.3.3 Bounding Box Labeling . . . . . . . . . . . . . 283.2.3.4 Automatic ADPKD Kidneys Localization Model
. . .283.2.3.5 Training and Tuning Model . . . . . . . . . . . 303.2.3.6 Image-Wise and Subject-Wise Testing and Evaluation . . 313.2.4 Experimental Setup . . . . . . . . . . . . . . .. 313.2.5 Evaluation Metrics . . . . . . . . . . . . . . . 313.2.6 Evaluation Procedures . . . . . . . . . . . . .
. 323.3 Results on NCCT and CCT . . . . . . . . . . . . . . 333.3.1 Evaluation Results of Validation set on NCCT . . 333.3.2 Evaluation Results of Testing set on NCCT . . . . 333.3.3 Evaluation Results of Validation Set on CCT . . . 343.3.4 Evaluation Results of Testing set on CCT . . . . 353.4 Ev
aluation Results of Image-Wise Testing . . . . . 363.5 Evaluation Results of Subject-Wise Testing . . . . 383.6 Discussion . . . . . . . . . . . . . . . . . . . . 403.7 Conclusion . . . . . . . . . . . . . . . . . . . . 464 Automatic ADPKD kidneys Segmentation Model and TKV Estimation Modelon NC
CT and CCT 484.1 Introduction . . . . . . . . . . . . . . . . . . . 484.2 The Proposed Method . . . . . . . . . . . . . . . . 504.2.1 Data Preprocessing . . . . . . . . . . . . . . . 504.2.2 Automatic ADPKD Kidneys Segmentation . . . . . . 514.2.3 TKV Estimation Model . . . . . . . . . . . . . .
534.3 Experiment and Results . . . . . . . . . . . . . . 544.3.1 Dataset . . . . . . . . . . . . . . . . . . . . . 544.3.2 Experimental Setup . . . . . . . . . . . . . . . 554.3.3 Evaluation Metrics . . . . . . . . . . . . . . . 564.3.4 ADPKD Kidney Segmentation Results . . . . . . . . 564.3.4.1
Validation set results on NCCT . . . . . . . . 574.3.4.2 Testing set results on NCCT . . . . . . . . . . 57vii4.3.4.3 Validation set results on CCT . . . . . . . 584.3.4.4 Testing set results on CCT . . . . . . . . . . 594.3.5 TKV Estimation Results . . . . . . . . . . . . . 604.4 Discussion .
. . . . . . . . . . . . . . . . . . . 604.5 Conclusion . . . . . . . . . . . . . . . . . . . . 645 Conclusions and Future works 655.1 Conclusions . . . . . . . . . . . . . . . . . . . . 655.2 Future Works . . . . . . . . . . . . . . . . . . . 66Bibliography 67List of Figures1.1 Types of medical i
maging. . . . . . . . . . . . . . 21.2 Supervised and Unsupervised Learning algorithms based on tasks. . . . . . 61.3 Various architectures based on computer vision tasks. . . . . . . . . . . . . 81.4 Healthy kidneys. . . . . . . . . . . . . . . . . . 121.5 ADPKD kidneys on NCCT and CCT, and renal
cyst: (a) ADPKD kidneyand liver cyst on CCT; (b) ADPKD kidney and liver cyst on NCCT; (c)ADPKD kidney, liver, and spleen; (d) Renal cyst in non-ADPKD. . . . . . 143.1 Raw image and respective ground truth images: (a) Raw image; (b) Groundtruth for right kidney (Green); (c) Ground truth for left kidn
ey (Yellow); (d)Ground truth for both right (Green) and left (Yellow) kidneys. . . . . . . . 253.2 Proposed automatic ADPKD kidneys localization model framework. . . . . 263.3 Preprocessing procedures. .. . . . . . . . . . . . 263.4 The architecture of automatic ADPKD kidneys localization model, whe
rejfj, C(x, y), w, h, and V2 refer to as total number of feature maps, centerbounding box, width, height, and version 2, respectively. . . . . . . . . . . 293.5 Precision and recall curve on NCCT: (a) Right kidney; (b) Left kidney. . . . 363.6 Automatic ADPKD kidneys localization results on NCCT. .
. . . . . . . . 363.7 Precision and recall curve on CCT: (a) Right kidney; (b) Left kidney. . . . . 393.8 Automatic ADPKD kidneys localization results on CCT. . . . . . . . . . . 393.9 Precision and recall curve of our model on image-wise testing set: (a) Rightkidney; (b) Left kidney. . . . . . . .
. . . . . . . 41xiv3.10 Comparison of classification and localization loss on image-wise testing set. 423.11 Detection results: (a) ADPKD kidneys associated with liver cysts; (b)ADPKD kidneys with adjacent organs. . . . . . . . . . 423.12 Precision and recall curve of our model on subject-wise test
ing: (a) Rightkidney; (b) Left kidney. . . . . . . . . . . . . . .. 433.13 Comparison of classification and localization loss on image-wise testing set. 443.14 Detection results: (a) Small size of ADPKD kidneys; (b) Big size of ADPKDkidneys. . . . . . . . . . . . . . . . . . . . . . .. 453.15 Miscla
ssification and mislocalization example: (a) Misclassification; (b)Mislocalization. . . . . . . . . . . . . . . . . . .. 464.1 The overview of proposed method work flow. . . .. 504.2 The overview of data preprocessing. . . . . . . . 514.3 The overview of automatic ADPKD kidneys segmentation model. .
. . . . 534.4 Automatic ADPKD kidneys segmentation ROC curve on NCCT. . . . . . . 604.5 Automatic ADPKD kidneys segmentation results on NCCT. . . . . . . . . 614.6 Automatic ADPKD kidneys segmentation ROC curve on CCT. . . . . . . . 614.7 Automatic ADPKD kidneys segmentation results on CCT. . . . .
. . . . . 624.8 Validation curve for DTR: (a) Validation score on NCCT; (b) Validationscore on CCT. . . . . . . . . . . . . . . . . . . . 63List of Tables3.1 210 CT data acquisitions from 97 ADPKD patients. . . 243.2 Localization results using validation set with k-fold on NCCT. . . . . . . . 343.3
Localization results using testing set on NCCT. . . .353.4 Localization results using validation set with k-fold on CCT. . . . . . . . . 373.5 Localization results using testing set on CCT. . . . 383.6 Evaluation metrics results on image-wise testing. . .403.7 Comparison of AP and mAP with other ar
chitectures on image-wise testing. 413.8 Evaluation metrics results of subject-wise testing. .433.9 Comparison of AP and mAP with other architectures on subject-wise testing. 444.1 Segmentation results using validation set with k-fold on NCCT. . . . . . . . 584.2 Segmentation results using testing s
et on NCCT. . . .594.3 Segmentation results using validation set with k-fold on CCT. . . . . . . . . 624.4 Segmentation results using testing set on CCT. . . . 634.5 R2 score using validation set with k-fold on NCCT and CCT. . . . . . . . . 64
Disney Frozen 2: Explore the North
A PHP Error was encountered
Severity: Warning
Message: file_put_contents(/var/www/html/prints/public/images/books_new/F01/637/71/F016371992.jpg): failed to open stream: Permission denied
Filename: helpers/global_helper.php
Line Number: 140
Backtrace:
File: /var/www/html/prints/application/helpers/global_helper.php
Line: 140
Function: file_put_contents
File: /var/www/html/prints/application/views/article_v2.php
Line: 248
Function: coverWebp_online
File: /var/www/html/prints/application/controllers/Pages.php
Line: 662
Function: view
File: /var/www/html/prints/public/index.php
Line: 319
Function: require_once
A PHP Error was encountered
Severity: Warning
Message: getimagesize(/var/www/html/prints/public/images/books_new/F01/637/71/F016371992.jpg): failed to open stream: No such file or directory
Filename: helpers/global_helper.php
Line Number: 62
Backtrace:
File: /var/www/html/prints/application/helpers/global_helper.php
Line: 62
Function: getimagesize
File: /var/www/html/prints/application/helpers/global_helper.php
Line: 142
Function: coverWebp
File: /var/www/html/prints/application/views/article_v2.php
Line: 248
Function: coverWebp_online
File: /var/www/html/prints/application/controllers/Pages.php
Line: 662
Function: view
File: /var/www/html/prints/public/index.php
Line: 319
Function: require_once
A PHP Error was encountered
Severity: Notice
Message: Trying to access array offset on value of type bool
Filename: helpers/global_helper.php
Line Number: 64
Backtrace:
File: /var/www/html/prints/application/helpers/global_helper.php
Line: 64
Function: _error_handler
File: /var/www/html/prints/application/helpers/global_helper.php
Line: 142
Function: coverWebp
File: /var/www/html/prints/application/views/article_v2.php
Line: 248
Function: coverWebp_online
File: /var/www/html/prints/application/controllers/Pages.php
Line: 662
Function: view
File: /var/www/html/prints/public/index.php
Line: 319
Function: require_once
A PHP Error was encountered
Severity: Notice
Message: Trying to access array offset on value of type bool
Filename: helpers/global_helper.php
Line Number: 66
Backtrace:
File: /var/www/html/prints/application/helpers/global_helper.php
Line: 66
Function: _error_handler
File: /var/www/html/prints/application/helpers/global_helper.php
Line: 142
Function: coverWebp
File: /var/www/html/prints/application/views/article_v2.php
Line: 248
Function: coverWebp_online
File: /var/www/html/prints/application/controllers/Pages.php
Line: 662
Function: view
File: /var/www/html/prints/public/index.php
Line: 319
Function: require_once
A PHP Error was encountered
Severity: Notice
Message: Trying to access array offset on value of type bool
Filename: helpers/global_helper.php
Line Number: 68
Backtrace:
File: /var/www/html/prints/application/helpers/global_helper.php
Line: 68
Function: _error_handler
File: /var/www/html/prints/application/helpers/global_helper.php
Line: 142
Function: coverWebp
File: /var/www/html/prints/application/views/article_v2.php
Line: 248
Function: coverWebp_online
File: /var/www/html/prints/application/controllers/Pages.php
Line: 662
Function: view
File: /var/www/html/prints/public/index.php
Line: 319
Function: require_once
為了解決Anna Elsa 的問題，作者Francis, Suzanne 這樣論述：
22公分x 28 公分的大開本硬頁故事遊戲書（board book），內有超過55個互動翻翻機關，邀請孩子們翻開這本書，和艾莎、安娜、雪寶一起踏上旅途，深入北方魔法森林，重回《冰雪奇緣 2》的故事場景。 Explore the North with Elsa, Anna, and all of their friends in this book with more than 50 flaps! Your favorite Frozen friends are back and ready to explore everything the North has to offer!
Join Elsa, Anna, Olaf, Kristoff, and Sven as they search for reindeer hiding in the Enchanted Forest, relive their favorite memories in Ahtohallan, and more. Packed with surprises under the flaps and interactive activities, this book is perfect for little explorers! Suzanne Francis has been telli
ng stories since before she could write them down. As a mid-sized grown-up, she still enjoys sharing great stories, especially for children. Suzanne lives in Los Angeles with her husband, Wes, their storytellers, Jack and Emilia, and a pointy-eared, curly-tailed, lovable mutt named Ginger. The Disn
ey Storybook Artists work from their offices in Glendale, CA.
回收碳纖維氈複合材料之微結構與機械性質研究
為了解決Anna Elsa 的問題，作者羅胤明 這樣論述：
回收碳纖維的技術已經發展成熟，且已經進入商業規模，但回收碳纖維的產品仍尚未進入市場，表示產品的性能及安全性還需驗證。因此，本論文與外部廠商合作，由廠商提供回收碳纖維氈及PA66、PA50、PPS 三種熱塑性複合材料，並製作回收碳纖維氈/環氧樹脂的複合材料，進行三點彎曲測試、壓縮測試及衝擊測試，量測複合材料的機械性質，並以掃描式電子顯微鏡(SEM)做破壞分析，了解回收碳纖維氈複合材料的破壞情況及材料內碳纖維的結構。 經過複合材料製作、機械性質測試及 SEM 觀察，獲得回收碳纖維氈複合材料的機械性質，並得知碳纖維氈蓬鬆，製造複合材料時搭配模壓可控制成品厚度及增加纖維含有率。碳氈內碳纖維方向隨機性
高，且經過壓力成扁平狀分布，能有效阻擋破壞裂紋，使裂紋成長方向多變，延長裂紋成長的距離。