Random current testing for CMOS logic circuits by monitoring a dynamic power supply current. - Hideo Tamamoto; Hiroshi Yokoyama; Yuichi Narita (EURO-DAC, 1992)

Built-in current testing for CMOS logic circuits using random patterns. - Hiroshi Yokoyama; Hideo Tamamoto; Yuichi Narita (Syst. Comput. Jpn., 1994)

Efficient Guided-Probe Fault Location Method for Sequential Circuits. - Xiaoqing Wen; Kozo Kinoshita; Hideo Tamamoto; Hiroshi Yokoyama (IEICE Trans. Inf. Syst., 1995)

Random Pattern Testable Design with Partial Circuit Duplication. - Hiroshi Yokoyama; Xiaoqing Wen; Hideo Tamamoto (Asian Test Symposium, 1997)

Random pattern testable design with partial circuit duplication and IDDQ testing. - Hiroshi Yokoyama; Xiaoqing Wen; Hideo Tamamoto (Syst. Comput. Jpn., 1999)

Tailored Nanomaterials Systems Based on Artificial Design and Fabrication: An Overview of the Synthetic Nanofunction Materials Project. - Hiroshi Yokoyama (ICMENS, 2004)

Impact of Nanotechnology in Flat Panel Display Industry. - Hiroshi Yokoyama (ICMENS, 2005)

Controlling Peak Power Consumption for Scan Based Multiple Weighted Random BIST. - Hiroshi Yokoyama; Hideo Tamamoto; Kewal K. Saluja (Asian Test Symposium, 2010)

Temporal changes of beta rhythms and rotation-related negativity reflect switches in motor imagery. - Hiroshi Yokoyama; Isao Nambu; Jun Izawa; Yasuhiro Wada (EMBC, 2014)

Electromyogram Activation Reflects Property of Isochrony Phenomenon During Cyclic Human Arm Movement. - Hiroshi Yokoyama; Rie Kurai; Isao Nambu; Yasuhiro Wada (ICONIP (6), 2017)

Prediction of individual finger movements for motor execution and imagery: An EEG study. - Tetsuro Hayashi; Hiroshi Yokoyama; Isao Nambu; Yasuhiro Wada (SMC, 2017)

Prediction of Driver's Workload from Slow Fluctuations of Pupil Diameter. - Hiroshi Yokoyama; Koma Eihata; Junya Muramatsu; Yusuke Fujiwara (ITSC, 2018)

Flame-Oxidized Stainless-Steel Anode as a Probe in Bioelectrochemical System-Based Biosensors to Monitor the Biochemical Oxygen Demand of Wastewater. - Qiaochu Liang; Takahiro Yamashita; Ryoko Yamamoto-Ikemoto; Hiroshi Yokoyama (Sensors, 2018)

Analysis of Water Quality Conditions of Lake Hachiroko Using Fuzzy C-Means. - Kai Matsui; Yoichi Kageyama; Hiroshi Yokoyama (J. Adv. Comput. Intell. Intell. Informatics, 2019)

Development of Programming Materials Using Gameplay RPA. - Hiroshi Yokoyama; Takahiro Matsumoto; Masanori Fukui; Yoshitatsu Mori; Tomoyuki Takami (GCCE, 2020)

Gesture Recognition by Machine Learning Combined with Geometric Calculation. - Hiroshi Yokoyama; Paul Schmalenberg; Muhamed Farooq; Ercan M. Dede (ITSC, 2020)

Learning Data Conditions for Resolution Improvement Using UAV Data. - Kai Matsui; Hikaru Shirai; Yoichi Kageyama; Hiroshi Yokoyama (SCIS/ISIS, 2020)

Comparison Between Lumped-Mass Modeling and Flow Simulation of the Reed-Type Artificial Vocal Fold. - Rafia Inaam; Tsukasa Yoshinaga; Takayuki Arai; Hiroshi Yokoyama; Akiyoshi Iida (Interspeech, 2021)

Improving the resolution of UAV-based remote sensing data of water quality of Lake Hachiroko, Japan by neural networks. - Kai Matsui; Hikaru Shirai; Yoichi Kageyama; Hiroshi Yokoyama (Ecol. Informatics, 2021)

Detecting changes in dynamical structures in synchronous neural oscillations using probabilistic inference. - Hiroshi Yokoyama; Keiichi Kitajo (NeuroImage, 2022)

Estimating water quality through neural networks using Terra ASTER data, water depth, and temperature of Lake Hachiroko, Japan. - Kai Matsui; Hikaru Shirai; Yoichi Kageyama; Hiroshi Yokoyama; Miyuki Asano (Environ. Model. Softw., 2023)

Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis. - Hiroshi Yokoyama; Ryusei Shingaki; Kaneharu Nishino; Shohei Shimizu; Thong Pham (CoRR, 2024)