Patents by Inventor Vladimir Sergeevich IVASHKIN

Vladimir Sergeevich IVASHKIN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method of and system for generating weather forecast
    Patent number: 11131790
    Abstract: A method of generating a weather forecast. The method is executable by a server, the server including a processor, the processor configured to execute a Machine Learning Algorithm (MLA). The method comprises: receiving, by the MLA at the given period of time, satellite data for a given geographical region; based on the satellite data, generating by the MLA, a 3D precipitation map for the given geographical region, based on the 3D precipitation map, generating by the MLA the weather forecast for the given period of time for the given geographical region. The MLA is trained based on a prediction of another MLA (based on meteo radar data) and satellite data.
    Type: Grant
    Filed: September 30, 2019
    Date of Patent: September 28, 2021
    Assignee: YANDEX EUROPE AG
    Inventors: Aleksandr Viktorovich Ganshin, Vladimir Sergeevich Ivashkin, Irina Vladimirovna Rudenko, Aleksandr Aleksandrovich Molchanov, Sergey Aleksandrovich Ovcharenko, Ruslan Viktorovich Grokhovetsky, Dmitrii Valentinovich Solomentsev
  • METHOD OF AND SYSTEM FOR GENERATING WEATHER FORECAST
    Publication number: 20200309993
    Abstract: A method of generating a weather forecast. The method is executable by a server, the server including a processor, the processor configured to execute a Machine Learning Algorithm (MLA). The method comprises: receiving, by the MLA at the given period of time, satellite data for a given geographical region; based on the satellite data, generating by the MLA, a 3D precipitation map for the given geographical region, based on the 3D precipitation map, generating by the MLA the weather forecast for the given period of time for the given geographical region. The MLA is trained based on a prediction of another MLA (based on meteo radar data) and satellite data.
    Type: Application
    Filed: September 30, 2019
    Publication date: October 1, 2020
    Inventors: Aleksandr Viktorovich GANSHIN, Vladimir Sergeevich IVASHKIN, Irina Vladimirovna RUDENKO, Aleksandr Aleksandrovich MOLCHANOV, Sergey Aleksandrovich OVCHARENKO, Ruslan Viktorovich GROKHOVETSKY, Dmitrii Valentinovich SOLOMENTSEV