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Thomas S Ashman, 41Gardena, CA

Known as:
Tom Ashman Thomas Ashmond
Related to:
John Ashman Jason A Weininger 51

Thomas Ashman Phones & Addresses

Gardena, CA   

Long Beach, CA   

Lompoc, CA   

Santa Maria, CA   

San Angelo, TX   

Avondale, AZ   

Peoria, AZ   

Philadelphia, NY   

Maricopa, AZ   

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Mentions for Thomas S Ashman

Career records & work history

License Records

Thomas Ashman

Licenses:
License #: AAC-0889 - Active
Category: Asbestos Program
Issued Date: Aug 23, 2012
Type: Consultant BASE

Thomas Scott Ashman

Address:
1301 Viola Way, Lompoc, CA 93436
Licenses:
License #: A4654081
Category: Airmen

Thomas Ashman resumes & CV records

Resumes

Thomas Ashman Photo 39

Thomas Ashman

Location:
125 Campbell St, Youngstown, NY 14174
Industry:
Aviation & Aerospace
Work:
United States Air Force - San Angelo, Texas Area since Aug 2012
Intelligence Officer United States Air Force - Luke AFB, AZ Feb 2012 - Aug 2012
Maintenance Flight Commander, 56th Equipment Maintenance Squadron United States Central Command - Tampa/St. Petersburg, Florida Area Jul 2011 - Feb 2012
Munitions Staff Officer United States Air Force - Luke AFB, Arizona Mar 2010 - Aug 2011
Munitions Flight Commander, 56th Equipment Maintenance Squadron United States Air Force Jan 2011 - Feb 2011
Squadron Officer School, Maxwell AFB, AL United States Air Force Mar 2008 - Feb 2010
Production Flight Commander, 36th Munitions Squadron, Andersen AFB, GU United States Air Force Aug 2009 - Jan 2010
Executive Officer, 386th Expeditionary Maintenance Group, Ali Al Salem AB, Kuwait United States Air Force Aug 2008 - Feb 2009
Executive Officer, 36th Maintenance Group, Andersen AFB, GU United States Air Force 2006 - 2007
Executive Officer, 412th Operations Group, Edwards AFB, CA United States Air Force 2006 - 2007
Training
Education:
Embry-Riddle Aeronautical University 2011 - 2014
Master of Science, Project Management United States Air Force Academy 2002 - 2006
Bachelor of Science, Space Operations
Skills:
Air Force, Military Operations, Dod, Military Experience, Program Management, National Security, Defense, Operational Planning, Leadership, U.s. Department of Defense, Organizational Leadership, Training, Information Assurance, Government, Aircraft, Flight Safety, Systems Engineering, Military, Foreign Military Sales, Aviation, Space Systems
Languages:
English
Thomas Ashman Photo 40

Air Force Officer

Location:
United States
Industry:
Logistics and Supply Chain

Publications & IP owners

Us Patents

Conditional Loss Function Modification In A Neural Network

US Patent:
2019025, Aug 15, 2019
Filed:
Feb 13, 2019
Appl. No.:
16/275186
Inventors:
- Austin TX, US
Thomas Scott Ashman - Long Beach CA, US
Spencer Ryan Romo - Austin TX, US
Melanie Stricklan - Long Beach CA, US
Carrie Inez Hernandez - Long Beach CA, US
International Classification:
G06K 9/62
G06K 9/00
G06N 3/08
G06N 3/04
Abstract:
Method, electronic device, and computer readable medium embodiments are disclosed. In one embodiment, a method includes training a neural network using a first image dataset and a first truth dataset, then using the trained neural network to analyze a second image dataset. The training includes modifying a loss function of the neural network to forego penalizing the neural network when a feature is predicted with higher than a first confidence level by the neural network, and the first truth dataset has no feature corresponding to the predicted feature.

Adaptive Neural Network Selection To Extract Particular Results

US Patent:
2019025, Aug 15, 2019
Filed:
Feb 13, 2019
Appl. No.:
16/275171
Inventors:
- Austin TX, US
Thomas Scott Ashman - Long Beach CA, US
Spencer Ryan Romo - Austin TX, US
Melanie Stricklan - Long Beach CA, US
Carrie Inez Hernandez - Long Beach CA, US
International Classification:
G06K 9/66
G06K 9/00
G06K 9/62
G06N 3/08
G06N 3/04
Abstract:
Method, electronic device, and computer readable medium embodiments are disclosed. In one embodiment, a method includes receiving image data, manipulating the received image data based on a set of transform parameters, and analyzing the manipulated image data to generate metadata. The metadata statistically describes the received image data. The method also includes selecting a neural network from a plurality of neural networks to perform a second analysis, wherein the neural network is selected based on the generated metadata. The method additionally includes performing a second analysis of the received image data by the selected neural network based on the generated metadata to extract information from the received image data.

Possible Relatives

David Ashman  Debbie L Ashman  Dalia C Ashman  Deborah W Ashman  Daniel P Ashman  Emily A Ashman  Erica Ashman  Thomas D Johnson  Thomas Stamps  Thomas W Stancil 

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