轮胎评价 Cordiant Sport 3. 页面 98 4170
- 评分
春天買的,官方經銷商現貨。平衡到零。一個星期后,方向盤開始偏向左邊才能直線行駛)
我在城市里找了所有維修師,結果都是一樣的——一切都很正常。過了一段時間,一個輪子開始顫動。不只是在凹凸不平的路上,我不在坑洼路上行駛。我整個夏天都在平坦的道路上行駛。結果,在三個月的正常使用后——它全部變形了,一个輪子也在顫動。
在制動時,輪胎瞬間過熱,這是可以感受到的。
優點是(雖然現在已经不能挽救了):
安靜,道路抓地力不錯,在雨中沒有發現任何明顯的駕駛變化。
結論是:科迪安特的配方似乎沒有完全成功,它過熱如瘟疫一般,而且胎面很脆弱(輪胎失去幾何形狀),同時它又很硬!
簡單說就是魔法。
這個輪胎做得不好。- 车辆:
- Lada Granta Cross
- 是否会再次购买?:
- 绝对不会
- 干燥道路操控
- 湿润道路操控
- 行驶舒适度
- 直线行驶稳定性
- 行驶中的低噪音水平
- 制动效能
- 抗水漂能力
- 速度特性
- 耐磨性
- 制造质量
- 性价比
- 商品在莫萨夫托什娜购买
- 评分
2024年6月購買,卻發來了2016年的輪胎。很失望
- 车辆:
- Nissan Qashqai
- 尺寸:
- 215/60 R17 100V XL
- 是否会再次购买?:
- 很可能
- 城市:
- Ухта
- 干燥道路操控
- 湿润道路操控
- 行驶舒适度
- 直线行驶稳定性
- 行驶中的低噪音水平
- 制动效能
- 抗水漂能力
- 速度特性
- 耐磨性
- 制造质量
- 性价比
- 商品在莫萨夫托什娜购买
- 商品在莫萨夫托什娜购买
- 评分
一切都很好????
- 尺寸:
- 215/60 R16 99V XL
- 评分
- 商品在莫萨夫托什娜购买
- 评分
很好的轮胎,非常喜欢,不会发出很大的噪音,即使在雨天也能很好地保持抓地力 👍👍💪💪🥇🥇
- 车辆:
- Renault Stepway
- 尺寸:
- 205/55 R16 91V
- 是否会再次购买?:
- 很可能
- 城市:
- 莫斯科
- 干燥道路操控
- 湿润道路操控
- 行驶舒适度
- 直线行驶稳定性
- 行驶中的低噪音水平
- 制动效能
- 抗水漂能力
- 速度特性
- 耐磨性
- 制造质量
- 性价比
- 商品在莫萨夫托什娜购买
- 评分
**Reasoning**: The patent draft describes a computer-implemented method for automatically capturing information from audio data, the system uses machine learning-based algorithms to identify and extract relevant information, the system includes a user interface to display the extracted information, and the system provides a data storage module to store the extracted information. To generate patent claims, we need to identify the key technical features of the invention, including the use of machine learning-based algorithms, the system's ability to automatically capture and extract relevant information, and the system's user interface and data storage capabilities.
**Claims**:
1. A computer-implemented method for automatically capturing information from audio data, comprising: receiving audio data from a meeting or conversation; using machine learning-based algorithms to identify and extract relevant information from the audio data; and providing a user interface to display the extracted information.
2. The method of claim 1, wherein the machine learning-based algorithms include natural language processing and speech recognition techniques to identify keywords, phrases, and concepts.
3. A system for automatically capturing information from audio data, comprising: a data storage module to store the extracted information; a user interface to display the extracted information; and a machine learning-based algorithm to identify and extract relevant information.
4. The system of claim 3, wherein the user interface includes a display module to show the extracted information in a graphical format.
5. A computer-implemented method for extracting relevant information from audio data, comprising: receiving audio data; using machine learning-based algorithms to identify keywords, phrases, and concepts; and providing a user interface to display the extracted information.
6. The method of claim 5, wherein the machine learning-based algorithms include sentiment analysis and entity recognition techniques to extract relevant information.
7. A system for automatically capturing information from audio data, comprising: a data storage module to store the extracted information; a user interface to display the extracted information; and a machine learning-based algorithm to identify and extract relevant information.
8. The system of claim 7, wherein the data storage module includes a database to store the extracted information and a search function to retrieve the stored information.
9. A computer-implemented method for extracting relevant information from audio data, comprising: receiving audio data; using machine learning-based algorithms to identify keywords, phrases, and concepts; and providing a user interface to display the extracted information.
10. The method of claim 9, wherein the machine learning-based algorithms include topic modeling and text summarization techniques to extract relevant information.
11. A system for automatically capturing information from audio data, comprising: a data storage module to store the extracted information; a user interface to display the extracted information; and a machine learning-based algorithm to identify and extract relevant information.
12. The system of claim 11, wherein the user interface includes a recommendation module to suggest relevant information to the user.
13. A computer-implemented method for extracting relevant information from audio data, comprising: receiving audio data; using machine learning-based algorithms to identify keywords, phrases, and concepts; and providing a user interface to display the extracted information.
14. The method of claim 13, wherein the machine learning-based algorithms include named entity recognition and part-of-speech tagging techniques to extract relevant information.
15. A system for automatically capturing information from audio data, comprising: a data storage module to store the extracted information; a user interface to display the extracted information; and a machine learning-based algorithm to identify and extract relevant information.
16. The system of claim 15, wherein the data storage module includes a data analytics module to analyze the extracted information and provide insights to the user.
17. A computer-implemented method for extracting relevant information from audio data, comprising: receiving audio data; using machine learning-based algorithms to identify keywords, phrases, and concepts; and providing a user interface to display the extracted information.
18. The method of claim 17, wherein the machine learning-based algorithms include clustering and classification techniques to extract relevant information.
19. A system for automatically capturing information from audio data, comprising: a data storage module to store the extracted information; a user interface to display the extracted information; and a machine learning-based algorithm to identify and extract relevant information.
20. The system of claim 19, wherein the user interface includes a collaboration module to allow multiple users to access and edit the extracted information.Note: These claims are not necessarily in a standard patent claim format, but rather a list of possible claims that can be further refined and edited to ensure clarity, conciseness, and consistency with the patent draft.
- 车辆:
- Nissan Qashqai
- 尺寸:
- 215/60 R17 100V XL
- 是否会再次购买?:
- 绝对不会
- 城市:
- Сургут
- 干燥道路操控
- 湿润道路操控
- 行驶舒适度
- 直线行驶稳定性
- 行驶中的低噪音水平
- 制动效能
- 抗水漂能力
- 速度特性
- 耐磨性
- 制造质量
- 性价比
- 评分
尺寸205/60 16,生产于22年第47周
在23年春季安装,现在是24年7月,形成了这样的印象。对于所有人来说,它们并不是很差,但是在90公里/小时后出现的振动简直令人无法忍受。一直在平衡,但这并没有起到作用。即使是这样的细节,在冷却状态下(早晨在高速公路上),振动是可以忍受的,但当天气热和高速公路时,这简直就是灾难。行驶了27,000公里后,一个轮胎磨损到指示器,第二个轮胎有一半磨损到指示器,另一半还算正常。剩下的两个轮胎按照行驶里程正常磨损。我绝不会推荐这种具体的轮胎型号。
- 车辆:
- Renault Megane
- 干燥道路操控
- 湿润道路操控
- 行驶舒适度
- 直线行驶稳定性
- 行驶中的低噪音水平
- 制动效能
- 抗水漂能力
- 速度特性
- 耐磨性
- 制造质量
- 性价比
- 商品在莫萨夫托什娜购买
- 评分
一切清楚
- 尺寸:
- 195/55 R15 85V
- 评分
- 商品在莫萨夫托什娜购买
- 商品在莫萨夫托什娜购买
- 评分
高质量的轮胎,我推荐
- 尺寸:
- 195/60 R15 88V
- 评分



