Patents by Inventor Rakesh Upadhyay

Rakesh Upadhyay 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).

  • Publication number: 20230385663
    Abstract: A time series forecasting system is disclosed that obtains a time series forecast request requesting a forecast for a particular time point. The forecast request identifies a primary time series dataset for generating the requested forecast and a set of features related to the primary time series dataset. The system provides the primary time series dataset and the set of features to a model to be used for generating the forecast. The model computes a feature importance score for one or more features and selects a subset of features based on their feature importance scores. The model determines attention scores for a set of data points in the primary time series dataset based on the selected subset of features. The system predicts an actual forecast for the particular time point based on the attention scores and outputs the actual forecast and explanation information associated with the actual forecast.
    Type: Application
    Filed: May 24, 2023
    Publication date: November 30, 2023
    Applicant: Oracle International Corporation
    Inventors: Chirag Ahuja, Vikas Rakesh Upadhyay, Samik Raychaudhuri, Syed Fahad Allam Shah, Hariharan Balasubramanian
  • Publication number: 20230297861
    Abstract: A computing device may access a graph comprising one or more model nodes, one or more dataset nodes, and one or more edges, the model nodes having a plurality of features. The device may add one or more test dataset nodes and test edges to the graph. The device may perform a series of iterative steps until a threshold is reached. For each iterative step: a selection probability is determined, the selection probability being based at least in part on a plurality of selection criteria; a particular model node is selected, the particular model node being selected based at least in part on the selection probability; the selection criteria is updated based at least in part on the particular model; and the plurality of features are updated based at least in part on the particular model. The device may provide the particular model node selected in the last iterative step.
    Type: Application
    Filed: March 16, 2022
    Publication date: September 21, 2023
    Applicant: Oracle International Corporation
    Inventors: Chirag Ahuja, Vikas Rakesh Upadhyay, Syed Fahad Allam Shah, Samik Raychaudhuri, Hariharan Balasubramanian, Michal Piotr Prussak, Shwan Ashrafi
  • Publication number: 20050150027
    Abstract: The present invention relates to a new and distinct mint plant of Mentha piperita ‘Cim Indus’, selected through screening, field trial and analysis of monoterpene constituents of the essential oil of the germplasm, possessing the characters of producing high amount of menthofuran ranging between 22 to 30% of total oil content, high amount pulegone ranging between 9.0 to 18% of total oil content, with essential oil content ranging between 0.32 to 0.40% of the total oil content.
    Type: Application
    Filed: December 29, 2003
    Publication date: July 7, 2005
    Applicant: COUNCIL OF SCIENTIFIC AND INDUSTRIAL
    Inventors: Suman Khanuja, Nirmal Patra, Ajit Shasany, Birendra Kumar, Soni Gupta, Rakesh Upadhyay, Togarrati Priya, Anil Singh, Mahendra Darokar, Virendra Tomar, Janak Bahal, Raj Lal