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Hiroshi Yokoyama
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2020 – today
- 2023
- [j8]Kai Matsui, Hikaru Shirai, Yoichi Kageyama
, Hiroshi Yokoyama, Miyuki Asano:
Estimating water quality through neural networks using Terra ASTER data, water depth, and temperature of Lake Hachiroko, Japan. Environ. Model. Softw. 159: 105584 (2023) - 2022
- [j7]Hiroshi Yokoyama
Detecting changes in dynamical structures in synchronous neural oscillations using probabilistic inference. NeuroImage 252: 119052 (2022) - 2021
- [j6]Kai Matsui, Hikaru Shirai, Yoichi Kageyama, Hiroshi Yokoyama:
Improving the resolution of UAV-based remote sensing data of water quality of Lake Hachiroko, Japan by neural networks. Ecol. Informatics 62: 101276 (2021) - [c13]Rafia Inaam, Tsukasa Yoshinaga
Comparison Between Lumped-Mass Modeling and Flow Simulation of the Reed-Type Artificial Vocal Fold. Interspeech 2021: 3181-3185 - 2020
- [c12]Hiroshi Yokoyama, Takahiro Matsumoto, Masanori Fukui
Development of Programming Materials Using Gameplay RPA. GCCE 2020: 248-250 - [c11]Hiroshi Yokoyama, Paul Schmalenberg, Muhamed Farooq, Ercan M. Dede
Gesture Recognition by Machine Learning Combined with Geometric Calculation. ITSC 2020: 1-6 - [c10]Kai Matsui, Hikaru Shirai, Yoichi Kageyama, Hiroshi Yokoyama:
Learning Data Conditions for Resolution Improvement Using UAV Data. SCIS/ISIS 2020: 1-2
2010 – 2019
- 2019
- [j5]Kai Matsui, Yoichi Kageyama, Hiroshi Yokoyama:
Analysis of Water Quality Conditions of Lake Hachiroko Using Fuzzy C-Means. J. Adv. Comput. Intell. Intell. Informatics 23(3): 456-464 (2019) - 2018
- [j4]Qiaochu Liang, Takahiro Yamashita
Flame-Oxidized Stainless-Steel Anode as a Probe in Bioelectrochemical System-Based Biosensors to Monitor the Biochemical Oxygen Demand of Wastewater. Sensors 18(2): 607 (2018) - [c9]Hiroshi Yokoyama, Koma Eihata, Junya Muramatsu, Yusuke Fujiwara:
Prediction of Driver's Workload from Slow Fluctuations of Pupil Diameter. ITSC 2018: 1775-1780 - 2017
- [c8]Hiroshi Yokoyama
Electromyogram Activation Reflects Property of Isochrony Phenomenon During Cyclic Human Arm Movement. ICONIP (6) 2017: 3-10 - [c7]Tetsuro Hayashi, Hiroshi Yokoyama, Isao Nambu
Prediction of individual finger movements for motor execution and imagery: An EEG study. SMC 2017: 3020-3023 - 2014
- [c6]Hiroshi Yokoyama, Isao Nambu
Temporal changes of beta rhythms and rotation-related negativity reflect switches in motor imagery. EMBC 2014: 1326-1329 - 2010
- [c5]Hiroshi Yokoyama, Hideo Tamamoto, Kewal K. Saluja:
Controlling Peak Power Consumption for Scan Based Multiple Weighted Random BIST. Asian Test Symposium 2010: 147-152
2000 – 2009
- 2005
- [c4]Hiroshi Yokoyama:
Impact of Nanotechnology in Flat Panel Display Industry. ICMENS 2005: 77 - 2004
- [c3]Hiroshi Yokoyama:
Tailored Nanomaterials Systems Based on Artificial Design and Fabrication: An Overview of the Synthetic Nanofunction Materials Project. ICMENS 2004: 286
1990 – 1999
- 1999
- [j3]Hiroshi Yokoyama, Xiaoqing Wen, Hideo Tamamoto:
Random pattern testable design with partial circuit duplication and IDDQ testing. Syst. Comput. Jpn. 30(5): 18-27 (1999) - 1997
- [c2]Hiroshi Yokoyama, Xiaoqing Wen, Hideo Tamamoto:
Random Pattern Testable Design with Partial Circuit Duplication. Asian Test Symposium 1997: 353-358 - 1995
- [j2]Xiaoqing Wen, Kozo Kinoshita, Hideo Tamamoto, Hiroshi Yokoyama:
Efficient Guided-Probe Fault Location Method for Sequential Circuits. IEICE Trans. Inf. Syst. 78-D(2): 122-129 (1995) - 1994
- [j1]Hiroshi Yokoyama, Hideo Tamamoto, Yuichi Narita:
Built-in current testing for CMOS logic circuits using random patterns. Syst. Comput. Jpn. 25(11): 1-10 (1994) - 1992
- [c1]Hideo Tamamoto, Hiroshi Yokoyama, Yuichi Narita:
Random current testing for CMOS logic circuits by monitoring a dynamic power supply current. EURO-DAC 1992: 480-485
Coauthor Index
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