Earthquake Early Warning Using Low-Cost MEMS Sensors. - Young-Woo Kwon 001; Jae-Kwang Ahn; Jimin Lee; Chul-Ho Lee (IGARSS, 2020)

Seismic Signal Synthesis by Generative Adversarial Network with Gated Convolutional Neural Network Structure. - Yuanming Li; Bonhwa Ku; Gwantae Kim; Jae-Kwang Ahn; Hanseok Ko (IGARSS, 2020)

Seismic Data Augmentation Based on Conditional Generative Adversarial Networks. - Yuanming Li; Bonhwa Ku; Shou Zhang; Jae-Kwang Ahn; Hanseok Ko (Sensors, 2020)

Augmenting Seismic Data Using Generative Adversarial Network for Low-Cost MEMS Sensors. - Aming Wu; Juyong Shin; Jae-Kwang Ahn; Young-Woo Kwon 001 (IEEE Access, 2021)

Attention-Based Convolutional Neural Network for Earthquake Event Classification. - Bonhwa Ku; Gwantae Kim; Jae-Kwang Ahn; Jimin Lee; Hanseok Ko (IEEE Geosci. Remote. Sens. Lett., 2021)

Earthquake Event Classification Using Multitasking Deep Learning. - Bonhwa Ku; Jeongki Min; Jae-Kwang Ahn; Jimin Lee; Hanseok Ko (IEEE Geosci. Remote. Sens. Lett., 2021)

An Open Dataset for Deep Learning-based Earthquake Detection using MEMS Sensors. - Jangsoo Lee; Jae-Heon Sim; Jae-Kwang Ahn; Young-Woo Kwon 001 (IEEE Big Data, 2022)

Optimization of Network-Based Earthquake Early Warning Systems on the Korean Peninsula. - Seongheum Cho; Jae-Kwang Ahn; Eui-Hong Hwang (IEEE Access, 2022)

Graph Convolution Networks for Seismic Events Classification Using Raw Waveform Data From Multiple Stations. - Gwantae Kim; Bonhwa Ku; Jae-Kwang Ahn; Hanseok Ko (IEEE Geosci. Remote. Sens. Lett., 2022)

Development of Seismic Intensity Maps Using Low-Cost Micro-Electro-Mechanical Systems Seismic Network. - Jae-Kwang Ahn; Jangsoo Lee; Young-Woo Kwon 001; Jung-Kyu Kim; Dong Youp Kwak (IEEE Access, 2023)

Virtual Scenarios of Earthquake Early Warning to Disaster Management in Smart Cities Based on Auxiliary Classifier Generative Adversarial Networks. - Jae-Kwang Ahn; Byeonghak Kim; Bonhwa Ku; Eui-Hong Hwang (Sensors, 2023)

Design for Optimized Public Safety and Earthquake Disaster Mitigation With IoT. - Jae-Kwang Ahn; Tae-Hyun Kim; Hyounhee Koo (IEEE Access, 2024)