Patents by Inventor Daniel de Paula Turco

Daniel de Paula Turco 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: 20220067845
    Abstract: Techniques for agriculture action recommendation are provided. Agricultural information from a plurality of data sources is used to generate a general agriculture data profile and user specific agricultural information is used to generate a user data profile. The general and user specific agricultural information is utilized by an agriculture optimization model to provide an action recommendation and the justification summary for an agriculture product. The action recommendation and the justification summary are based on a plurality of sell and storage options for the at least one agriculture product generated using the agriculture optimization model, where an optimal recommendation is selected by the agriculture optimization model for the agricultural product.
    Type: Application
    Filed: August 25, 2020
    Publication date: March 3, 2022
    Inventors: Edson GOMES PEREIRA, Marcelo MOTO MANHAES, Tiago DIAS GENEROSO, Marcel de Toledo PINEDA, Daniel De Paula TURCO, Glaucio Alexandre De AZEVEDO
  • Patent number: 11036222
    Abstract: A method, computer system, and a computer program product for implementing a plurality of actions associated with an impaired driver to prevent vehicle accidents is provided. The present invention may include collecting, from a plurality of existing vehicle sensors and a plurality of existing portable user device sensors, a plurality of data. The present invention may also include analyzing the collected plurality of data. The present invention may then include determining an impairment state associated with the driver. The present invention may further include implementing the plurality of actions to prohibit the driver from operating the vehicle. The present invention may then include storing the implemented plurality of actions, the analyzed plurality of data, and the determined impairment state associated with the driver in a historical database.
    Type: Grant
    Filed: April 27, 2018
    Date of Patent: June 15, 2021
    Assignee: International Business Machines Corporation
    Inventors: Hima Carla Belloni Mourao, Fernando A. Cavalcanti, Marcos Vinicius L. Paraiso, Daniel de Paula Turco
  • Publication number: 20210125290
    Abstract: A method, a computer system, and a computer program product for an artificial intelligence (AI) based agribusiness logistics advisor is provided. Embodiments of the present invention may include receiving a first user data. Embodiments of the present invention may include collecting a second user data and external data. Embodiments of the present invention may include preparing and transforming the second user data and the external data. Embodiments of the present invention may include conducting a hypothesis on the transformed data. Embodiments of the present invention may include validating the transformed data. Embodiments of the present invention may include training an artificial intelligence (AI) model based on the transformed data. Embodiments of the present invention may include matching the first user data with the artificial intelligence (AI) model. Embodiments of the present invention may include ranking results based on the matching the first user data with the artificial intelligence (AI) model.
    Type: Application
    Filed: October 29, 2019
    Publication date: April 29, 2021
    Inventors: MARCELO MOTA MANHAES, EDSON GOMES PEREIRA, GLAUCIO ALEXANDRE DE AZEVEDO, Marcel de Toledo Pineda, DANIEL DE PAULA TURCO, TIAGO DIAS GENEROSO
  • Publication number: 20210103936
    Abstract: A method, computer system, and a computer program product for verifying the consistency of a current medical product is provided. The present invention may include generating a quantity associated with each of one or more active principles in the current medical product based on a plurality of current medical product data and a plurality of information from the data domains. The present invention may then include comparing the generated quantity associated with each of the one or more active principles in the current medical product with one or more constraints associated with a feasible solution associated with the current medical product. The present invention may further include determining a level of counterfeit risk based on the compared quantity associated with each of the one or more active principles in the current medical product with the one or more constraints from the feasible solution for the current medical product.
    Type: Application
    Filed: October 4, 2019
    Publication date: April 8, 2021
    Inventors: EDSON GOMES PEREIRA, MARCELO MOTA MANHAES, TIAGO DIAS GENEROSO, Marcel de Toledo Pineda, GLAUCIO ALEXANDRE DE AZEVEDO, DANIEL DE PAULA TURCO
  • Publication number: 20190332106
    Abstract: A method, computer system, and a computer program product for implementing a plurality of actions associated with an impaired driver to prevent vehicle accidents is provided. The present invention may include collecting, from a plurality of existing vehicle sensors and a plurality of existing portable user device sensors, a plurality of data. The present invention may also include analyzing the collected plurality of data. The present invention may then include determining an impairment state associated with the driver. The present invention may further include implementing the plurality of actions to prohibit the driver from operating the vehicle. The present invention may then include storing the implemented plurality of actions, the analyzed plurality of data, and the determined impairment state associated with the driver in a historical database.
    Type: Application
    Filed: April 27, 2018
    Publication date: October 31, 2019
    Inventors: Hima Carla Belloni Mourao, Fernando A. Cavalcanti, Marcos Vinicius L. Paraiso, Daniel de Paula Turco