A Direct Conversion Receiver for W-CDMA Reducing Current Consumption to 31 mA. - Hiroshi Yoshida; Takehiko Toyoda; Makoto Arai; Ryuichi Fujimoto; Toshiya Mitomo; Masato Ishii; Rui Ito; Tadashi Arai; Tetsuro Itakura; Hiroshi Tsurumi (IEICE Trans. Electron., 2005)

Development of Rockfall Prevention Net Climbing Robot Using a Quadric Chain. - Hidekazu Kajiwara; Makoto Arai; Takafumi Noguchi; Takashi Nakamura (J. Robotics Mechatronics, 2006)

A -90 dBm sensitivity 0.13 μm CMOS bluetooth transceiver operating in wide temperature range. - Kenichi Agawa; Hideaki Majima; Hiroyuki Kobayashi; Masayuki Koizumi; Shin-ichiro Ishizuka; Takeshi Nagano; Makoto Arai; Yutaka Shimizu; Go Urakawa; Nobuyuki Itoh; Mototsugu Hamada; Nobuaki Otsuka (CICC, 2007)

A 0.13 µm CMOS Bluetooth EDR Transceiver with High Sensitivity over Wide Temperature Range and Immunity to Process Variation. - Kenichi Agawa; Shin-ichiro Ishizuka; Hideaki Majima; Hiroyuki Kobayashi; Masayuki Koizumi; Takeshi Nagano; Makoto Arai; Yutaka Shimizu; Asuka Maki; Go Urakawa; Tadashi Terada; Nobuyuki Itoh; et al. (IEICE Trans. Electron., 2010)

Estimating the resolution of real images. - Ryuta Mizutani; Rino Saiga; Susumu Takekoshi; Chie Inomoto; Naoya Nakamura; Makoto Arai; Kenichi Oshima; Masanari Itokawa; Akihisa Takeuchi; Kentaro Uesugi; Yasuko Terada; Yoshio Suzuki (CoRR, 2017)

An 802.11ax 4×4 spectrum-efficient WLAN AP transceiver SoC supporting 1024QAM with frequency-dependent IQ calibration and integrated interference analyzer. - Shusuke Kawai; Hiromitsu Aoyama; Rui Ito; Yutaka Shimizu; Mitsuyuki Ashida; Asuka Maki; Tomohiko Takeuchi; Hiroyuki Kobayashi; Go Urakawa; Hiroaki Hoshino; Shigehito Saigusa; Kazushi Koyama; et al. (ISSCC, 2018)

An 802.11ax 4 × 4 High-Efficiency WLAN AP Transceiver SoC Supporting 1024-QAM With Frequency-Dependent IQ Calibration and Integrated Interference Analyzer. - Shusuke Kawai; Rui Ito; Kengo Nakata; Yutaka Shimizu; Motoki Nagata; Tomohiko Takeuchi; Hiroyuki Kobayashi; Katsuyuki Ikeuchi; Takayuki Kato; Yosuke Hagiwara; Yuki Fujimura; Kentaro Yoshioka; et al. (IEEE J. Solid State Circuits, 2018)

Schizophrenia-mimicking layers outperform conventional neural network layers. - Ryuta Mizutani; Senta Noguchi; Rino Saiga; Mitsuhiro Miyashita; Makoto Arai; Masanari Itokawa (CoRR, 2020)

Schizophrenia-Mimicking Layers Outperform Conventional Neural Network Layers. - Ryuta Mizutani; Senta Noguchi; Rino Saiga; Yuichi Yamashita; Mitsuhiro Miyashita; Makoto Arai; Masanari Itokawa (Frontiers Neurorobotics, 2022)

Near-Infrared Time-Resolved Spectroscopy Shows Anterior Prefrontal Blood Volume Reduction in Schizophrenia but Not in Major Depressive Disorder. - Toshikazu Shinba; Nobutoshi Kariya; Saori Matsuda; Makoto Arai; Masanari Itokawa; Yoko Hoshi (Sensors, 2022)