General Electric Company

Amazon Technologies, Inc.

Ajay Kant Singh

Rui Chen

Murali Brahmadesam

Nishant Govindbhai Parsania

Sameer R Rajyaguru

Serguei B Stepaniants

Michael Luis Collado

Robert Andrew Kreek

Kevin Donald Kelly

Shen Li

Ray Chen

Richard Bargreen

Donald Kane

Vignesh Kannappan

Pramod Muralidharan

Hancao Li

Technologies are disclosed for determining network-accessible content changes based on computed models and providing a long term forecast of user interaction at a network accessible site based upon a short term experiment at the site. A forecast model for a period of time is generated based upon historical data of user interactions at the site. An experiment is run for a short term at the site based upon a potential change at the site. Based upon data obtained during the experiment, scores are generated for a control group (no change) and a treatment group (potential change) and compared. If there are statistically significant differences between the control group and the treatment group scores, the long term forecast may be used to forecast what the long term impact of the experiment would be based upon the short term experiment.

Computationally and network bandwidth-efficient technique to determine network-accessible content changes based on computed models

A system includes a fuel nozzle. The fuel nozzle includes a hub having an axis, a shroud disposed about the hub, an airflow path between the hub and the shroud, multiple vanes extending between the hub and the shroud, and a first fuel path leading to multiple first fuel outlets disposed on the multiple vanes. The fuel nozzle also includes a second fuel path leading to multiple second fuel outlets disposed on at least one of the hub and/or the shroud, wherein the multiple second fuel outlets are disposed at an axial distance upstream from a downstream end of the hub.

System for pre-mixing in a fuel nozzle

Growing community of inventors

Bengaluru, India

Ajay Kant Singh