Learning by Problem-Solvinf Assisted of Planning and Retrieval of Sample Problems with Solutions Indexed by Structured Solution Plan. - Takuma Watanabe; Nobuhiro Takano; Makoto Itami; Kohji Itoh (ICCE, 2002)

Sensitivity study of radar backscatter from boreal forest using discrete scatterer model. - Motofumi Arii; Takuma Watanabe; Hiroyoshi Yamada (IGARSS, 2012)

Model experiment of permittivity retrieval method for forested area by using Brewster's angle. - Takuma Watanabe; Hiroyoshi Yamada; Motofumi Arii; Sang-Eun Park; Yoshio Yamaguchi (IGARSS, 2012)

Study on Moisture Effects on Polarimetric Radar Backscatter from Forested Terrain. - Takuma Watanabe; Hiroyoshi Yamada; Motofumi Arii; Ryoichi Sato; Sang-Eun Park; Yoshio Yamaguchi (IEICE Trans. Commun., 2014)

ResilientFlow: Deployments of Distributed Control Channel Maintenance Modules to Recover SDN from Unexpected Failures. - Takuya Omizo; Takuma Watanabe; Toyokazu Akiyama; Katsuyoshi Iida (IEICE Trans. Commun., 2016)

Registration of Point-Clouds from Terrestrial and Portable Laser Scanners. - Takuma Watanabe; Takeru Niwa; Hiroshi Masuda (Int. J. Autom. Technol., 2016)

Retrieval of Polarimetric Azimuthal Angular Characteristics via the Application of Target Decomposition to Spectral Domain Circular SAR Images. - Takuma Watanabe; Hiroyoshi Yamada; Yuto Tokutake; Ryoichi Sato; Yoshio Yamaguchi (IEEE Trans. Geosci. Remote. Sens., 2019)

Synthetic Aperture Imaging of Near-Field Scatterers Mutually Coupled With an Antenna Array. - Takuma Watanabe; Hiroyoshi Yamada (IEEE Trans. Instrum. Meas., 2021)

Orientation Estimation of Surface Cracks in Metals Based on Intensity Maximization of Polarimetric Circular Synthetic Aperture Radar Images. - Takuma Watanabe; Hiroyoshi Yamada (IEEE Trans. Instrum. Meas., 2021)

Image-Based Radar Cross Section Synthesis for a Cluster of Multiple Static Targets. - Takuma Watanabe (IEEE Trans. Instrum. Meas., 2023)

Low-Cost Radar Cross Section Measurement With a Resin-Made Model Coated With Conductive Paste. - Takuma Watanabe; Yoshihiko Akamine (IEEE Trans. Instrum. Meas., 2023)

Radar Cross-Section Prediction of Electrically Large Target and Its Components by Using Scaling Model and Near-Field to Far-Field Transformation Based on Radar Imaging. - Yoshihiko Akamine; Takuma Watanabe; Toru Takakuma; Kazuya Matsubayashi; Makoto Hirano (IEICE Trans. Commun., 2025)