flannelling

flannelling 的音标是["flænɪlɪŋ] 。基本翻译是“模糊的，模糊的”。速记技巧是将其分解为flan（面包）+ ling（零散的）进行记忆。

Flannelling这个词的英文词源可以追溯到古英语中的“flann”和“leahn”，意思是“编织”或“编织物”。它的变化形式包括过去式“flannled”和过去分词“flannled”。

相关单词：

1. "Fashion" - 这个词源于意大利语中的"fascio"，意为“编织物”或“样式”，现在通常指流行趋势或风格。

2. "Webbing" - 这个词源于flannelling，指的是类似于编织物的网状物，通常用于制造安全带或绑带。

3. "Braided" - 这个词源于flann，意为“编织的”，现在通常用来形容某种物品是由编织材料制成的。

4. "Fiber" - 这个词源于拉丁语中的"fibra"，意为“纤维”，现在通常用来指代纺织品中的天然或人造材料。

5. "Fiberoptics" - 这个词结合了fiber（纤维）和optics（光学），指的是利用光纤进行通信的技术。

6. "Knitted" - 这个词源于knit（编织），意为“编织而成的”，现在通常用来形容某种衣物或配件是由针织材料制成的。

7. "Woven" - 这个词源于weave（编织），意为“编织而成的”，现在通常用来形容某种织物是由经纬线编织而成的。

8. "Fiber-optic" - 这个词结合了fiber（纤维）和optical（光学），指的是利用光纤传输光信号的技术。

9. "Filament" - 这个词源于拉丁语中的"filum"，意为“线”，现在通常用来形容某种物质是由细丝组成的。

10. "Braid" - 这个词源于flann，意为“编织的”，现在通常用来形容某种物品是由三股或更多股线编织而成的。

Flannelling: 8 Common Phrases

1. Flannelling the data

2. Flannelling algorithm

3. Apply flannelling

4. Perform flannelling

5. Implement flannelling

6. Use flannelling

7. Flannelling optimization

双语例句：

1. Can you recommend an effective flannelling algorithm for this dataset?

2. I"ve implemented a new flannelling algorithm to improve the accuracy of our search engine.

3. We applied flannelling to the image processing task and achieved great results.

4. The data was flannelled and then analyzed for patterns.

5. The flannelling optimization process took several hours to complete.

6. The results of the flannelling algorithm are impressive.

7. The implementation of flannelling algorithms is becoming increasingly important in machine learning.

英文小作文：Flannelling: The Key to Accurate Data Analysis

In today"s data-driven world, accurate data analysis is crucial for making informed decisions. One method that has proven effective in this regard is flannelling, a technique that helps identify patterns and trends within data sets.

Flannelling algorithms work by creating a representative sample of the data, which reduces the noise present and enhances the accuracy of analysis. By using flannelling, researchers can gain a more comprehensive understanding of their data, enabling them to make more informed decisions and develop better strategies for their projects.

From image processing to machine learning, flannelling has become an essential tool in the arsenal of data analysts and scientists. By harnessing the power of flannelling, we can unlock the secrets of data and unlock new opportunities for innovation and progress.