Predicting Hybrid Vehicle Fuel Economy and Emissions with Neural Network Models Trained with Real World Data

Text Registration

Predicting Hybrid Vehicle Fuel Economy and Emissions with Neural Network Models Trained with Real World Data

Status

Published

on 20 Jul 2017

Year of Creation

2017

Abril Galang

Registration Number

TX0008478327

on 20 Jul 2017

The U.S. Copyright record (Registration Number: TX0008478327) dated 20 Jul 2017, pertains to an electronic file (eService) titled "Predicting Hybrid Vehicle Fuel Economy and Emissions with Neural Network Models Trained with Real World Data" created in 2017. The copyright holder is Abril Galang, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Abril Galang.

Abril Galang

Application Details

Registration Number

TX0008478327

Registration Date

7/20/2017

Year of Creation

2017

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Abril Galang

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Predicting Hybrid Vehicle Fuel Economy and Emissions with Neural Network Models Trained with Real World Data

Author Statement: Abril Galang Citizenship: United States Authorship: text

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Predicting Hybrid Vehicle Fuel Economy and Emissions with Neural Network Models Trained with Real World Data

Author Statement: Abril Galang Citizenship: United States Authorship: text

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