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Visit USCOPredicting the Vessel Arrival Times to the Port of Houston Container Terminals: A Machine Learning Approach in Lieu of the Vessels' Operator Input Estimated Time of Arrival Thesis
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Copyright Title
Predicting the Vessel Arrival Times to the Port of Houston Container Terminals: A Machine Learning Approach in Lieu of the Vessels' Operator Input Estimated Time of Arrival Thesis
Status
Published
on 14 Mar 2019
Year of Creation
2018
Copyright Claimant
Akintola Aremu
Registration Number
TX0008688033
on 14 Mar 2019Copyright Summary
The U.S. Copyright record (Registration Number: TX0008688033) dated 14 Mar 2019, pertains to an electronic file (eService) titled "Predicting the Vessel Arrival Times to the Port of Houston Container Terminals: A Machine Learning Approach in Lieu of the Vessels' Operator Input Estimated Time of Arrival Thesis" created in 2018. The copyright holder is Akintola Aremu, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Akintola Aremu.
Application Details
Registration Number
TX0008688033
Registration Date
3/14/2019
Year of Creation
2018
Agency Marc Code
DLC-CO
Record Status
New
Physical Description
Electronic file (eService)
First Publication Nation
United States
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 the Vessel Arrival Times to the Port of Houston Container Terminals: A Machine Learning Approach in Lieu of the Vessels' Operator Input Estimated Time of Arrival Thesis
Author Statement: Akintola Aremu Citizenship: not known Authorship: text
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