Jun-Ho Bang

Emailjhbangjbnu.ackr

h-index
h5-index

Research activity per year

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

SDG 6 Clean Water and Sanitation
SDG 7 Affordable and Clean Energy
SDG 8 Decent Work and Economic Growth
SDG 9 Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics where Jun-Ho Bang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

45 Journal article
4 Conference paper
1 Review article

Hybrid VGG16-Based Deep Learning Frameworks for Electric Fire Short-Circuit Classification: Dense and LSTM Architectures
Hadi, N. M., Bang, J., Choi, C. Y., Sun, R. & Kim, D., 2026.01, In: Transactions of the Korean Institute of Electrical Engineers. 75, 1, p. 217-222 6 p.
Research output: Contribution to journal › Journal article › peer-review
Reinforcement Learning-Based Optimization of Environmental Control Systems in Battery Energy Storage Rooms
Park, S. Y., Kim, D. C. & Bang, J. H., 2026.01, In: Energies. 19, 2, 516.
Research output: Contribution to journal › Journal article › peer-review

Open Access
Research on Classification of Small Sample Electrical Cable Melting Images Based on Distillation Scheme of Heterogeneous Feature Alignment of U-Net3+ and ResNet-18
Jie, Z., Bang, J., Choi, C. Y., Sun, R. & Park, S., 2026.01, In: Transactions of the Korean Institute of Electrical Engineers. 75, 1, p. 204-216 13 p.
Research output: Contribution to journal › Journal article › peer-review
딥러닝 기반 수배전반 내 열화진단 시스템 개발
Translated title of the contribution: Development of a Deep Learning-Based Deterioration Diagnosis System in SwitchgearKang, T. H., Bang, J. H. & Ryu, I. H., 2024.09, In: Transactions of the Korean Institute of Electrical Engineers. 73, 9, p. 1588-1594 7 p.
Research output: Contribution to journal › Journal article › peer-review
에너지 하베스팅을 적용한 배전반 실시간 진단 시스템 설계에 관한 연구
Bang, J.-H., Song, J.-H., Song, J.-H., Ryu, I.-H. & Ryu, I.-H., 2024.06.28, In: 차세대융합기술학회논문지.
Research output: Contribution to journal › Journal article › peer-review

Jeonbuk National University Researchers Publish Findings in Emerging Technologies (Reinforcement Learning-Based Optimization of Environmental Control Systems in Battery Energy Storage Rooms)
Bang, J.-H. & Kim, C.-Y.
26.02.11
1 item of Media coverage
Press/Media
Study Data from Jeonbuk National University Provide New Insights into Networks (Classification of Short Circuit Marks In Electric Fire Case With Transfer Learning and Fine-tuning the Convolutional Neural Network Models)
Bang, J.
23.05.16
1 item of Media coverage
Press/Media

Jun-Ho Bang

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Hybrid VGG16-Based Deep Learning Frameworks for Electric Fire Short-Circuit Classification: Dense and LSTM Architectures

Reinforcement Learning-Based Optimization of Environmental Control Systems in Battery Energy Storage Rooms

Research on Classification of Small Sample Electrical Cable Melting Images Based on Distillation Scheme of Heterogeneous Feature Alignment of U-Net3+ and ResNet-18

딥러닝 기반 수배전반 내 열화진단 시스템 개발

에너지 하베스팅을 적용한 배전반 실시간 진단 시스템 설계에 관한 연구

Jeonbuk National University Researchers Publish Findings in Emerging Technologies (Reinforcement Learning-Based Optimization of Environmental Control Systems in Battery Energy Storage Rooms)

Study Data from Jeonbuk National University Provide New Insights into Networks (Classification of Short Circuit Marks In Electric Fire Case With Transfer Learning and Fine-tuning the Convolutional Neural Network Models)

Jun-Ho Bang

Personal profile

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations and top research areas from the last five years

Research output

Hybrid VGG16-Based Deep Learning Frameworks for Electric Fire Short-Circuit Classification: Dense and LSTM Architectures

Reinforcement Learning-Based Optimization of Environmental Control Systems in Battery Energy Storage Rooms

Research on Classification of Small Sample Electrical Cable Melting Images Based on Distillation Scheme of Heterogeneous Feature Alignment of U-Net3+ and ResNet-18

딥러닝 기반 수배전반 내 열화진단 시스템 개발

에너지 하베스팅을 적용한 배전반 실시간 진단 시스템 설계에 관한 연구

Press/Media

Jeonbuk National University Researchers Publish Findings in Emerging Technologies (Reinforcement Learning-Based Optimization of Environmental Control Systems in Battery Energy Storage Rooms)

Study Data from Jeonbuk National University Provide New Insights into Networks (Classification of Short Circuit Marks In Electric Fire Case With Transfer Learning and Fine-tuning the Convolutional Neural Network Models)