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  • Detection of Typhoon Damaged Regions on UAV Captured Rice Field Images Using an Ensemble of CNN and Artificial Neural Network

Thesis / Dissertation Defense

Detection of Typhoon Damaged Regions on UAV Captured Rice Field Images Using an Ensemble of CNN and Artificial Neural Network

Online

     09 Dec 2022 05:30 pm

The Department of Information
Systems and Computer Science

 

Invites you to the Thesis Defense

by

Mr. Niño R. Eclarin

MS CS

 

Detection of Typhoon Damaged Regions on UAV Captured Rice Field Images Using an Ensemble of CNN and Artificial Neural Network

 

Adviser:
Dr. Proceso L. Fernandez Jr.

 

Panel Members:

Dr. Andrei D. Coronel

Mr. Jose Alfredo A. de Vera III

Mr. Jonathan DL. Casano
Computer Science and Mathematics Academics School of Science and Engineering
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