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Makiko IGUCHI

Observed names: M. Iguchi, MAKIKO IGUCHI, Makiko Iguchi, Makiko Iguchi (18280245)
OpenAlex ID: A5089074374
Improving Accuracy and Robustness of Space-Time Image Velocimetry (STIV) with Deep Learning
2021 · Ken Watanabe, Ichiro Fujita, et al. · Water · 58
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Improvement of Stiv Technique by Using Deep Learning
2020 · Ichiro FUJITA, Ken WATANABE, et al. · Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering) · 6
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Untitled
2001 · Takahiko TSUNODA, Makiko IGUCHI · The Nishinihon Journal of Dermatology · 3
Experimental Study on Erosion of Cohesive Sediments Silted in Downstream Parts of Reservoirs
2006 · Tetsuya SUMI, Makiko IGUCHI, et al. · PROCEEDINGS OF HYDRAULIC ENGINEERING · 2
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Numerical Simulation of Flood Lake Behavior in Northeastern Bangladesh
2002 · TARO OKA, MAKIKO IGUCHI, et al. · 2
Validation of Automatic Parameter Estimation Method of Maximum Entropy Method Using Stiv Measurement Values
2022 · Ken WATANABE, Ichiro FUJITA, et al. · Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering) · 1
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Flood Inundation Mapping by Assimilating Local Information -practical Improvement and Application to the Oda River Flooding in July 2017-
2019 · Takahiro SAYAMA, Ryotaro SHIMIZU, et al. · Journal of Japan Society of Civil Engineers Ser B1 (Hydraulic Engineering) · 1
Technical Feasibility Study of Sediment Flushing in Reservoirs Using the RESCON Model
2005 · Tetsuya Sumi, Makiko IGUCHI · 1
Parameter Optimization of Hydrological Model for Multiple Flood Events by SCE-UA and Combination of Evaluation Functions: A Case Study in Yamato River, Japan
2026 · Lakwon CHOI, Ryotaro SHIMIZU, et al. · IAHR Asia-Pacific Division Congress (IAHR-APD)
Multi-Point Water Level Forecasting by a Hybrid Type Flood Forecasting Model and Evaluation of the Impact of Missing Observation Data
2026 · Ken Watanabe, Masayasu Irie, et al. · IAHR Asia-Pacific Division Congress (IAHR-APD)
Allowable Wave Height Forecast Values Based on Forecast Errors for Marine Operations
2026 · Hajime MASE, Ken WATANABE, et al. · Japanese Journal of JSCE
Hybrid-input ensemble neural network for improving flood-forecasting performance
2025 · Ken Watanabe, Masayasu Irie, et al. · Hydrological Research Letters
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Allowable Forecast Wave Height for the Possibility of Marine Construction the Day Before Based on Forecast Error
2025 · Hajime MASE, Ken WATANABE, et al. · Japanese Journal of JSCE
Robust and accurate river flow measurement by Space-Time Image Velocimetry (STIV) with improved deep learning technique
2024 · K. Watanabe, Y. Minami, et al. · CRC Press eBooks
Decision Methods of the Day Before Judgement for Possibility of Marine Construction Based on Wave Information
2024 · Hajime MASE, Ken WATANABE, et al. · Japanese Journal of JSCE
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Hybrid Wind Field Modelling for Accurate Typhoon Depiction
2024 · Kenta SATO, Makiko IGUCHI, et al. · Japanese Journal of JSCE
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Physical and Erosion Properties of Fine Cohesive Sediment Silted in Reservoirs
2007 · Tetsuya SUMI, Makiko IGUCHI · PROCEEDINGS OF HYDRAULIC ENGINEERING
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Numerical Simulation of Flood Lake Behavior in Northeastern Bangladesh (Copies of English Papers by the Center Staff Published in the Fiscal Year of 2002)
2003 · Taro Oka, Makiko IGUCHI, et al.
Estimation of Rainfall Intensity using GMS Images and Artificial Neural Networks and Runoff Analysis in Bangladesh (Copies of English Papers by the Center Staff Published in the Fiscal Year of 2000)
2001 · Taro Oka, Masayuki Ishii, et al.
Works count: 20
Citation count: 74
H-index: 3
I10-index: 1
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