Object-oriented analysis using scenarios. - Dai Kanetomo; Morio Nagata (Syst. Comput. Jpn., 1997)

Trust-based facilitator for e-partnerships. - Chihiro Ono; Boyd C. Paulson Jr.; Dai Kanetomo; Mark R. Cutkosky; Keesoo Kim; Charles J. Petrie (Agents, 2001)

Empirical Evaluation and Analysis of Application-Layer Delay Reduction Methods over Wireless Access Networks. - Yoshiaki Nishikawa; Takashi Oshiba; Dai Kanetomo; Kazuaki Nakajima (MobiWIS (Workshops), 2013)

A dynamic rate switching method for live video streaming using a smart device. - Natsuki Kai; Hiroshi Yoshida; Koichi Nihei; Kozo Satoda; Dai Kanetomo (APCC, 2015)

Device-to-device relay selection based on effective path throughput to fill coverage hole in public safety LTE. - Taichi Ohtsuji; Kazushi Muraoka; Hiroaki Aminaka; Dai Kanetomo; Yasuhiko Matsunaga (ICTC, 2016)

QoE maximizing bitrate control for live video streaming on a mobile uplink. - Koichi Nihei; Hiroshi Yoshida; Natsuki Kai; Dai Kanetomo; Kozo Satoda (ConTEL, 2017)

Novel heterogeneous computing platforms and 5G communications for IoT applications. - Yuichi Nakamura 002; Hideyuki Shimonishi; Yuki Kobayashi; Kozo Satoda; Yashuhiro Matsunaga; Dai Kanetomo (ICCAD, 2017)

Relay Selection Scheme Based on Path Throughput for Device-to-Device Communication in Public Safety LTE. - Taichi Ohtsuji; Kazushi Muraoka; Hiroaki Aminaka; Dai Kanetomo; Yasuhiko Matsunaga (IEICE Trans. Commun., 2018)

Modeling of Utility Function for Real-Time Prediction of Spatial Information. - Kenichiro Sato; Ryoichi Shinkuma; Takehiro Sato; Eiji Oki; Takanori Iwai; Takeo Onishi; Takahiro Nobukiyo; Dai Kanetomo; Kozo Satoda (GLOBECOM, 2019)

Learning on the Fly: An RNN-Based Online Throughput Prediction Framework for UAV Communications. - Yuxuan Jiang 001; Koichi Nihei; Junnan Li 001; Hiroshi Yoshida; Dai Kanetomo (ICC Workshops, 2020)

Prioritized Transmission Control of Point Cloud Data Obtained by LIDAR Devices. - Keiichiro Sato; Ryoichi Shinkuma; Takehiro Sato; Eiji Oki; Takanori Iwai; Dai Kanetomo; Kozo Satoda (IEEE Access, 2020)

Creation of Temporal Model for Prioritized Transmission in Predictive Spatial-Monitoring Using Machine Learning. - Keiichiro Sato; Ryoichi Shinkuma; Takehiro Sato; Eiji Oki; Takanori Iwai; Takeo Onishi; Takahiro Nobukiyo; Dai Kanetomo; Kozo Satoda (IEICE Trans. Commun., 2021)

Forest Fire Surveillance using Live Video Streaming from UAV via Multiple LTE Networks. - Koichi Nihei; Natsuki Kai; Yuki Maruyama; Toshiaki Yamashita; Dai Kanetomo; Takako Kitahara; Masaaki Maruyama; Takashi Ohki; Kitso Kusin; Hendrik Segah (CCNC, 2022)

Prediction of moving obstacles utilizing edge-cloud cooperation based on probabilistic representation of space. - Kazuki Kimura; Yuichi Ohsita; Masayuki Murata 001; Shinya Yasuda; Taichi Kumagai; Hiroshi Yoshida; Dai Kanetomo (ICCE, 2024)

Anticipatory Robot Navigation: Incorporating Estimated Obstacle Behaviors with the Social Force Model. - Fengkai Liu; Yuichi Ohsita; Kenji Kashima; Shinya Yasuda; Taichi Kumagai; Hiroshi Yoshida; Dai Kanetomo; Masayuki Murata 001 (ICCE, 2024)

Probabilistic Representation and Its Application of Digital-Twin of Spatio-Temporal Real-World Toward Trustable Cyber-Physical Interactions. - Hideyuki Shimonishi; Daichi Kominami; Yuichi Ohsita; Hiroshi Yoshida; Kousuke Nogami; Dai Kanetomo; Masayuki Murata 001 (IEEE Netw., 2024)