Sean P Delaney

US Patent:

20220292529, Sep 15, 2022

Filed:

Mar 15, 2021

Appl. No.:

17/249820

Inventors:

- Dublin, IE
Sean DELANEY - Hoboken NJ, US
Jorge Andres GOMEZ FUENTES - Austin TX, US
Lina CHRISTENSEN - Denver CO, US
Tariq SALAMEH - Dubai, AE

International Classification:

G06Q 30/02
G06N 20/00
G06N 5/04
H04L 12/24

Abstract:

A device may receive network data, business data, and user configuration data associated with an entity that is a candidate for a private network and may process the business data and the user configuration data, with a classification machine learning model, to determine a network hardware equipment prediction. The device may process the network data and the business data, with a first linear regression machine learning model, to determine a business output prediction and may utilize a second linear regression machine learning model to determine a data consumption prediction based on the network hardware equipment prediction. The device may process the network hardware equipment prediction, the business output prediction, and the data consumption prediction, with a machine learning model, to determine a financial profitability prediction for the private network and may perform one or more actions based on the financial profitability prediction.

US Patent:

20230083161, Mar 16, 2023

Filed:

Jan 18, 2022

Appl. No.:

17/578437

Inventors:

- Dublin 4, IE
Sean Delaney - Hoboken NJ, US
Kevin Edward Kapich - Bloomfield CO, US
Gabriel Ernesto Gutierrez Anez - Katy TX, US
Jose Castellanos Molina - Monterrey, MX

International Classification:

G06F 9/54
G06V 20/40
G06V 20/52
G06V 10/70

Abstract:

A computing architecture providing for rapid analysis and control of an environment via edge computing nodes is disclosed. Input data streams may be captured via one or more data stream independent CPU threads and prepared for processing by one or more machine learning models. The machine learning models may be trained according to different use cases to facilitate a multi-faceted and comprehensive analysis of the input data. The evaluation of the input data against the machine learning models may be facilitated via independent GPU threads (e.g., one thread per model or use case) and the outputs of the models may be evaluated using control logic to produce a set of outcomes and control data. The control data may be utilized to generate one or more command messages that may provide feedback to a remote device or user regarding a state of a monitored environment or other observed condition.

US Patent:

20210100385, Apr 8, 2021

Filed:

Oct 7, 2019

Appl. No.:

16/595116

Inventors:

Sean Delaney - Duluth GA, US

International Classification:

A47G 23/02
A45F 5/00

Abstract:

A cup holder can easily be assembled by a user and attached to portable luggage, such as along a horizontal handle of the luggage. The cup holder can pivot to keep the beverage upright while allowing the user to keep both hands free from the need to carry the beverage. The cup holder can be unassembled into a flattened sheet configuration for easy storage or disposal. The cup holder can include hooked ends for securing to the luggage and a hanging, size adjustable beverage pocket for receiving the beverage container therein.

US Patent:

20190180335, Jun 13, 2019

Filed:

Dec 8, 2017

Appl. No.:

15/835767

Inventors:

- Dublin, IE
Scott Saiget - New York NY, US
Natalie H. Mckeever - Atlanta GA, US
Syed Feroze H. Shah - Cambridge MA, US
Terry Wayne Steger - Dallas TX, US
Sumit Banerjee - Mclean VA, US
Sean Delaney - Hoboken NJ, US

International Classification:

G06Q 30/02
G06Q 10/06
H04L 12/24

Abstract:

Implementations are directed to receiving, by a NIO platform, one or more sets of data, the one or more sets of data including a set of historical data, and a set of opportunity data, processing, by the NIO platform, at least the set of historical data to determine a sub-set of data, the sub-set of data including data types having a relatively high impact on network infrastructure cost, providing, by the NIO platform, respective cost estimations for two or more network infrastructure opportunities by processing the set of opportunity data using a cost model provided from the sub-set of data, prioritizing, by the NIO platform, two or more network infrastructure opportunities relative to each other, and transmitting, by the NIO platform, one or more visualizations for display to a user on a computing device, the one or more visualizations graphically depicting prioritization of the two or more network infrastructure opportunities.

US Patent:

20180325208, Nov 15, 2018

Filed:

May 11, 2017

Appl. No.:

15/592985

Inventors:

Sean Delaney - Duluth GA, US

International Classification:

A43B 3/24
A43B 1/00
A43B 23/02
A43B 3/12

Abstract:

A convertible shoe enables people to easily modify a single shoe to form a total of at least three different shoe types. This reduces the bulkiness/amount of a traveler's luggage and reduces the burden of traveling without limiting a traveler's options of available shoe types. The convertible shoe can include a front removable shoe upper to convert between an open-toe and a closed-toe shoe. The convertible shoe can further include a rear removable shoe upper to convert the shoe between closed-back shoe and a sandal-type shoe. The sandal-type shoe can include a removable strap to convert between a strapped and a strapless sandal-type shoe.