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Chakkaphat Chamnanphan. Improvised explosive device detection using CNN with X-Ray images. Master's Degree(Information Technology). Mae Fah Luang University. Learning Resources and Educational Media Center. : Mae Fah Luang University, 2022.
Improvised explosive device detection using CNN with X-Ray images
Name: Chakkaphat Chamnanphan
keyword:
Improvised Explosive Device
MeSH:
Improvised explosive devices
-- 293145
Classification :.DDC: e-Theses
MeSH:
Screen-film radiography
-- 293147
MeSH:
Classification
-- 293148
LCSH:
Improvised explosive devices
-- 293145
LCSH:
Screen-film radiography
-- 293147
LCSH:
Classification
-- 293148
Abstract:
The idea of a smart city and other related services have been explored widely in terms of innovation development as well as applications of technological concepts. One of the major concerns to promote smart living is the security of personal life and asset, which have been put at risk by organized crime and acts of terrorism. A great deal of attention is paid to preventing terrorism incidence in public areas. In particular, to detect improvised explosive devices known as IEDs. This research focuses on developing analytical models that can recognize X-ray images of baggage contained with IEDs. It provides an alternative to conventional techniques that fail to disclose the truth with concealed or hidden devices. Specific to the current project, sample images are generated by experts to cover a number of cases found in operations during the past decade. These are then used to develop a deep learning model, with the help of several data augmentation methods to overcome the problem of small training datasets. As a result, models are more accurate by measured from sample datasets that never existed in training datasets, with the highest accuracy rate of 0.985. In addition, an empirical study is conducted herein to determine the size of the train set that exhibits good predictive performance.
Mae Fah Luang University. Learning Resources and Educational Media Center
Address:
CHIANG RAI
Email:
library@mfu.ac.th
Name: Tossapon Boongoen
Role:
Advisor
Created:
2022
Modified:
2022-11-23
Issued:
2022-11-23
วิทยานิพนธ์/Thesis
application/pdf
CallNumber:
e-Theses
eng
DegreeName: Master of Science
Level: Master's Degree
Descipline: Information Technology
Grantor: Mae Fah Luang University
©copyrights Mae Fah Luang University
RightsAccess:
ใช้เวลา
0.019959 วินาที
Chakkaphat Chamnanphan
| Title | Contributor | Type |
|---|---|---|
| Improvised explosive device detection using CNN with X-Ray images
มหาวิทยาลัยแม่ฟ้าหลวง Chakkaphat Chamnanphan | Tossapon Boongoen | วิทยานิพนธ์/Thesis |
Tossapon Boongoen