Patents by Inventor Andrew Nolan SMITH

Andrew Nolan SMITH 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).

  • ARTIFICIAL-INTELLIGENCE-BASED WATERWAY INFORMATION SYSTEM
    Publication number: 20230237327
    Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.
    Type: Application
    Filed: March 30, 2023
    Publication date: July 27, 2023
    Inventors: Joseph Celano, David Sathiaraj, Eric Ho, Andrew Nolan Smith, Eric Vincent Rohli
  • Artificial-intelligence-based waterway information system
    Patent number: 11620523
    Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.
    Type: Grant
    Filed: April 14, 2022
    Date of Patent: April 4, 2023
    Assignee: Trabus
    Inventors: Joseph Celano, David Sathiaraj, Eric Ho, Andrew Nolan Smith, Eric Vincent Rohli
  • ARTIFICIAL-INTELLIGENCE-BASED WATERWAY INFORMATION SYSTEM
    Publication number: 20220245456
    Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.
    Type: Application
    Filed: April 14, 2022
    Publication date: August 4, 2022
    Inventors: Joseph Celano, David Sathiaraj, Eric Ho, Andrew Nolan Smith, Eric Vincent Rohli
  • Artificial-intelligence-based waterway information system
    Patent number: 11334794
    Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.
    Type: Grant
    Filed: March 2, 2021
    Date of Patent: May 17, 2022
    Assignee: Trabus
    Inventors: Joseph Celano, David Sathiaraj, Eric Ho, Andrew Nolan Smith, Eric Vincent Rohli
  • ARTIFICIAL-INTELLIGENCE-BASED WATERWAY INFORMATION SYSTEM
    Publication number: 20210334650
    Abstract: Artificial-intelligence-based river information system. In an embodiment, a first training dataset is used to train a travel time prediction model to predict a travel time along the waterway for a given trip. In addition, a second training dataset is used to train a river level prediction model to predict a river level along the waterway for a given time. For each of a plurality of trips, a request is received that specifies the trip and a time of the trip, and, in response to the request, the travel time prediction model is used to predict a travel time for the trip, and the river level prediction model is used to predict a river level of the waterway at one or more points along the trip. Then, a voyage plan is generated based on one or both of the predicted travel time and the predicted river level.
    Type: Application
    Filed: March 2, 2021
    Publication date: October 28, 2021
    Inventors: Joseph CELANO, David SATHIARAJ, Eric HO, Andrew Nolan SMITH, Eric Vincent ROHLI