Opiniones sobre neumáticos Maxxis AT-771 Bravo. Página 4 708

Las ruedas varían de 4 a 8 t. rupias por neumático. 4 ruedas son completamente inútiles, de esos chinos, donde la rueda se ajusta al disco con un especial esfuerzo, pero los ruedas mejores comienzan desde 5 t. rupias. En cuanto a los neumáticos, la marca no parecía tener importancia, pero al multiplicar esa cifra

Compré para reemplazar el chaomiao original en mi Haval N5. Quería neumáticos para todo terreno, pero no quería que fueran ruidosos. No necesito neumáticos muy agresivos, ya que conduzco principalmente en asfalto, aunque también hay malas condiciones en la carretera, y un vehículo todo terreno debe tener neumáticos para todo terreno, al menos para la apariencia). Estoy completamente satisfecho con los neumáticos. Son silenciosos, suaves, mantienen bien la dirección y permiten giros suaves. En la lluvia, todo va bien. Se balancearon bien, no noté un desgaste excesivo durante la temporada, todo está en orden. No es recomendable usarlos en terrenos difíciles o en rocas, pero para paseos ocasionales en terrenos ligeros, son una excelente opción. Esta es mi primera vez con neumáticos chinos, y mi coche también es chino. Estoy satisfecho con ambos, y me sorprende. Para el invierno, por supuesto, cambiaré a neumáticos de invierno, así que puse calificaciones altas para hielo y nieve para no arruinar la puntuación de los neumáticos, pero por supuesto, no están diseñados para el hielo.

Buena goma!

Sobre la resistencia al desgaste todavía no puedo decir nada, pero el precio no me gusta mucho, quizás es que aún no me he acostumbrado, pero me gustaría pagar entre 6 y 8 mil.

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a note-taking application, which allows users to interactively edit an electronic document incorporating the extracted information. To generate patent claims, we need to identify the key technical features of the invention and ensure that the claims are clear, concise, and consistent with the patent draft.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and patterns to a user, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
3. A computer system for automatically capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for an activity detection module, a speech recognition module, and a note-taking application; and an interface for interactively editing an electronic document incorporating the extracted information, wherein the system uses the activity detection module to detect starting conditions for data extraction.
4. The system of claim 3, wherein the speech recognition module uses natural language processing to identify salient patterns in the audio data.
5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a note-taking application.
6. The method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data.
7. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module; a speech recognition module; and a note-taking application, wherein the system provides the extracted text and patterns to the note-taking application.
8. The system of claim 7, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a note-taking application, wherein the system uses machine learning algorithms to detect starting conditions for data extraction.
10. The method of claim 9, wherein the speech recognition module uses natural language processing to identify salient patterns in the audio data.
11. A computer system for capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for an activity detection module, a speech recognition module, and a note-taking application; and an interface for interactively editing an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a note-taking application.
14. The method of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data.
15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and patterns to a user.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and patterns to a user.
2. The method of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
3. A computer system for capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for an activity detection module, a speech recognition module, and a note-taking application; and an interface for interactively editing an electronic document incorporating the extracted information.
4. The system of claim 3, wherein the speech recognition module uses natural language processing to identify salient patterns in the audio data.
5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a note-taking application.
6. The method of claim 5, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data.
7. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and patterns to a user.
8. The system of claim 7, wherein the note-taking application allows users to interactively edit an electronic document incorporating the extracted information.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a note-taking application.
10. The method of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
11. A computer system for capturing information from audio data and computer operating context, comprising: a processor; a memory storing instructions for an activity detection module, a speech recognition module, and a note-taking application; and an interface for interactively editing an electronic document incorporating the extracted information.
12. The system of claim 11, wherein the speech recognition module uses natural language processing to identify salient patterns in the audio data.
13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing the audio data using speech recognition and pattern detection modules; and providing the extracted text and patterns to a note-taking application.
14. The method of claim 13, wherein the pattern detection module uses machine learning algorithms to identify salient patterns in the audio data.
15. A computer-implemented system for capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a note-taking application to provide the extracted text and patterns to a user.

Neumáticos buenos, no ruidosos. Al principio, cuando se instalaron, se balancearon mal (muchos pesitos, alrededor de 100-115 gr por rueda), después de rodar un poco (400 km), se redujo a alrededor de 40-60 gr por rueda.

Maxxis AT-771 Bravo 265/50 R20 111H fabricados e instalados en el auto en 2018.

Los compré en MОСАVТОШИНА.

Kilometraje 100.000 km. En carretera, velocidad de hasta 90-150 km/h, ciudad hasta 60-70 km/h

Kilometraje carretera 70%, ciudad 30%, alrededor de 1.000 km en camino de montaña y grava.

Desgaste del protector hasta hoy, todavía queda 1,5-2,0 mm hasta el indicador de desgaste. Desgaste uniforme alrededor. Para la temporada, todavía hay un 1000%, son otros 15-20.000 km.

NO HAY SENTIDO EN ESCRIBIR MÁS, ustedes mismos decidan sobre la calidad de los neumáticos.

Ahora hice un pedido para el mismo conjunto en el sitio web, espero respuestas de aclaración del gerente.

Buena suerte a todos en los caminos, CUÍDENSE a sí mismos y a sus seres queridos.

Cambió el jakohama geolander por maxis bravo 771.
1. La goma es increíblemente suave y silenciosa
2. Los pequeños y medianos baches en el asfalto los absorbe en un abrir y cerrar de ojos.
3. Todavía no he salido a la carretera, más tarde escribiré.
Por ahora estoy completamente satisfecho

Excelente neumático, primero lo probé en el Grand Vitara de mi padre y luego me compré uno para mí. Conduzco todo el año, considerando todos los matices de una "llanta de toda estación" me satisface completamente. En comparación con la llanta de stock en el Jimny, es un poco más ruidosa. Por su precio, es el mejor. Considerando la situación con la "abundancia" de productos, es la única opción.

Los neumáticos son simplemente superiores y se comportan excelentemente tanto en la nieve como en el barro. Los compro por segunda vez para mi segundo vehículo. Los recomiendo para su compra

Excelentes llantas de AS para su precio para cuatro ruedas impulsadas) Resistentes a la carretera, cómodas en terrenos blandos. Se recomiendan de manera unanime para viajes de pesca y caza)