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Jong-Won Baek
Institution:
Sangmyung University
Observed institutions:
Sangmyung University,
Baekseok University
ORCID:
0000-0003-2398-2134
Observed ORCID:
0000-0003-2398-2134
OpenAlex ID:
A5086945091
Hierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots
2025
·
Jung-Il Kim
, Jong-Won Baek
, et al.
·
Scientific Reports
·
15
Deep learning-based image classification of sea turtles using object detection and instance segmentation models
2024
·
Jong-Won Baek
, Jung-Il Kim
, et al.
·
PLoS ONE
·
14
Deep learning-based image classification of turtles imported into Korea
2023
·
Jong-Won Baek
, Jung-Il Kim
, et al.
·
Scientific Reports
·
13
PDF
Characteristics of Red Pepper (Capsicum Annuum L.) Powder Using $N_2-Circulated$ Low Temperature Drying Method
2004
·
Chung Hee Kim
, Seung-Hee Ryu
, et al.
·
Korean Journal of Food Science and Technology
·
12
Image Classification of Amazon Parrots by Deep Learning: A Potentially Useful Tool for Wildlife Conservation
2022
·
Jung-Il Kim
, Jong-Won Baek
, et al.
·
Biology
·
10
PDF
Effects of Aerobic Exercise on Tau and Related Proteins in Rats with Photochemically-Induced Infarction
2020
·
Kyung-Lim Joa
, Sakulrat Mankhong
, et al.
·
Journal of Alzheimer s Disease
·
6
Hyperparameter optimization to enhance the performance of deep learning models for the early detection of invasive turtles in Korea
2026
·
Jong-Won Baek
, Jung-Il Kim
, et al.
·
Scientific Reports
·
2
PDF
A case study on DNA barcoding for pet food mislabeling in South Korea
2023
·
Duri Lee
, Thinh Dinh Do
, et al.
·
Italian Journal of Food Safety
·
1
PDF
Correlation analysis between biological and physicochemical indicators using an unsupervised learning approach for an integrated understanding of freshwater ecosystems
2025
·
Min-Ho Mun
, Meijing Li
, et al.
·
Environmental Biology Research
Molecular identification of selected parrot eggs using a non-destructive sampling method
2023
·
Jung-Il Kim
, Jong-Won Baek
, et al.
·
Environmental Biology Research
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Works count:
10
Citation count:
73
H-index:
6
I10-index:
5
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