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Regidestyoko Wasistha Harseno

Observed names: Regidestyoko Wasistha Harseno, Regidestyoko-Wasistha Harseno
Institution: Dong-A University
Observed institution: Dong-A University
ORCID: 0000-0003-1237-0845
Observed ORCIDs: 0000-0003-1237-0845, 0009-0007-8200-4310
OpenAlex ID: A5084830101
Evaluation of Air-Cavities behind Concrete Tunnel Linings Using GPR Measurements
2022 · Regidestyoko Wasistha Harseno, Sung-Jin Lee, et al. · Remote Sensing · 26
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Development of AI- and Robotics-Assisted Automated Pavement-Crack-Evaluation System
2023 · Md. Al-Masrur Khan, Regidestyoko Wasistha Harseno, et al. · Remote Sensing · 16
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Evaluation of the Size of a Defect in Reinforcing Steel Using Magnetic Flux Leakage (MFL) Measurements
2023 · Jamal Yousaf, Regidestyoko Wasistha Harseno, et al. · Sensors · 12
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Lightweight IoT-edge framework with attention-enhanced GRU for closed-loop real-time indoor environmental monitoring and prediction
2026 · Jamal Yousaf, Regidestyoko Wasistha Harseno, et al. · Measurement Sensors · 1
Physics-Based Deep Learning for Suppression of Reinforcing Steel Reflections in GPR: Application to Tunnel Lining Cavity Detection
2026 · Sung Jin Lee, Regidestyoko Wasistha Harseno, et al. · Journal of the Korean society for railway
Automated Detection and Thickness Estimation of Air Cavities Behind Tunnel Concrete Linings Using a ConvNeXt-Enhanced YOLO Framework with GPR Data
2026 · Regidestyoko Wasistha Harseno, Sung Jin Lee, et al. · SSRN Electronic Journal
Effects of Reinforcing Steel on Evaluation of Air-Cavity and Grout Behind Concrete Tunnel Lining Using Ground Penetrating Radar
2024 · Sung-Jin Lee, Regidestyoko Wasistha Harseno, et al. · Journal of the Korean society for railway
Next-Generation Indoor Air Quality Management: An Integrated Iot- and Deep Learning-Based Approach for Real-Time Monitoring and Prediction
2024 · Jurng-Jae Yee, Jamal Yousaf, et al. · SSRN Electronic Journal
Practical GPR Approach to Evaluate Thickness of Cavities in Tunnel Lining Concrete
2022 · Sung-Jin Lee, Yeong-Tae Choi, et al. · Journal of the Korean society for railway
Works count: 9
Citation count: 55
H-index: 3
I10-index: 3
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