Dhavalkumar J Patel

US Patent:

20220188775, Jun 16, 2022

Filed:

Dec 15, 2020

Appl. No.:

17/123088

Inventors:

- ARMONK NY, US
Dhavalkumar C. Patel - White Plains NY, US
Anuradha Bhamidipaty - Yorktown Heights NY, US

International Classification:

G06Q 10/00
G06K 9/62
G06F 16/9035
G06Q 50/06

Abstract:

A computer implemented federated learning method of predicting failure of assets includes generating a local model at a local site for each of the cohorts and training the local model on local data for each of the cohorts for each failure type. The local model is shared with a central database. A global model is created based on an aggregation of a plurality of the local models from a plurality of the local sites. At each of the plurality of local sites, one of the global model and the local model is chosen for each of the cohorts. The chosen model operates on local data to predict failure of the assets. The utilized features include partitioning features of the assets into static features, semi-static features, and dynamic features, and forming cohorts of the assets based on the static features and the semi-static features.

US Patent:

20210357781, Nov 18, 2021

Filed:

May 15, 2020

Appl. No.:

16/875533

Inventors:

- Armonk NY, US
Dhavalkumar C. PATEL - White Plains NY, US

International Classification:

G06N 5/04
G06F 17/17

Abstract:

A processing system, a computer program product, and a method for efficiently determining a best imputation algorithm from a plurality of imputation algorithms A method includes: providing a plurality of imputation algorithms; providing a time parameter tmax to limit an amount of time spent determining a best imputation algorithm; maintaining past information i on accuracy and execution time for at least one of the imputation algorithms; using said information i to compute a utility score for each of the at least one the imputation algorithms; and testing imputation algorithms and associated parameters in an order based on said utility scores.

US Patent:

20210357794, Nov 18, 2021

Filed:

May 15, 2020

Appl. No.:

16/875450

Inventors:

- Armonk NY, US
Dhavalkumar C. PATEL - White Plains NY, US

International Classification:

G06N 7/00
G06F 16/906
G06F 17/18
G06F 17/17

Abstract:

A processing system, a computer program product, and a method for determining a best imputation algorithm from a plurality of imputation algorithms A method includes: providing a plurality of imputation algorithms; defining a data analytics task in which at least one step of the data analytics task includes determining at least one missing data value by imputation; executing the data analytics task multiple times wherein each execution of the data analytics task uses a data imputation algorithm of the plurality of data imputation algorithms to determine at least one missing data value; determining an error for each execution of the data analytics task; and selecting an imputation algorithm which results in a least error for the data analytics task.