Mutsumi Kimura
Orcid: 0000-0001-5379-5597
According to our database1,
Mutsumi Kimura
authored at least 31 papers
between 2002 and 2024.
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Bibliography
2024
Process Development of a Liquid-Gated Graphene Field-Effect Transistor Gas Sensor for Applications in Smart Agriculture.
Sensors, October, 2024
IEICE Trans. Electron., January, 2024
IEEE Micro, 2024
Neurocomputing, 2024
2023
IEEE Trans. Neural Networks Learn. Syst., May, 2023
Time-domain Subtractive Readout Scheme for Scalable Capacitive Analog In-Memory Computing.
Proceedings of the 36th IEEE International System-on-Chip Conference, 2023
Proceedings of the 36th IEEE International System-on-Chip Conference, 2023
Ionic Liquid-Gated Graphene FET Sensors for Detecting Nitrate Nitrogen (NO3-N) in Agricultural Soil.
Proceedings of the 2023 IEEE SENSORS, Vienna, Austria, October 29 - Nov. 1, 2023, 2023
Phase-Change Memory using Cu2GeTe3 and Multiple Writing Technique for Neuromorphic Systems.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023
2022
IEEE Access, 2022
Proceedings of the IEEE International Conference on Consumer Electronics, 2022
Proceedings of the IEEE Symposium in Low-Power and High-Speed Chips, 2022
2021
Preliminary Evaluation for Multi-domain Spike Coding on Memcapacitive Neuromorphic Circuit.
Proceedings of the Ninth International Symposium on Computing and Networking, 2021
2020
IEICE Trans. Electron., 2020
2019
Proceedings of the 17th IEEE International New Circuits and Systems Conference, 2019
Evaluation of Neuromorphic Hardware using Cellular Neural Networks and Oxide Semiconductors.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019
Neuro-inspired System with Crossbar Array of Amorphous Metal-Oxide-Semiconductor Thin-Film Devices as Self-plastic Synapse Units.
Proceedings of the Neural Information Processing - 26th International Conference, 2019
2018
Hopfield Neural Network with Double-Layer Amorphous Metal-Oxide Semiconductor Thin-Film Devices as Crosspoint-Type Synapse Elements and Working Confirmation of Letter Recognition.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Evaluation of Letter Reproduction System Using Cellular Neural Network and Oxide Semiconductor Synapses by Logic Simulation.
Proceedings of the Sixth International Symposium on Computing and Networking, 2018
2017
Cellular neural network formed by simplified processing elements composed of thin-film transistors.
Neurocomputing, 2017
Neuromorphic Hardware Using Simplified Elements and Thin-Film Semiconductor Devices as Synapse Elements - Simulation of Hopfield and Cellular Neural Network -.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
Simplification of Processing Elements in Cellular Neural Networks - Working Confirmation Using Circuit Simulation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Letter Reproduction Simulator for Hardware Design of Cellular Neural Network Using Thin-Film Synapses - Crosspoint-Type Synapses and Simulation Algorithm.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
2015
Capacitance Sensor of Frequency Modulation for Integrated Touchpanels Using Amorphous In-Sn-Zn-O Thin-Film Transistors.
IEICE Trans. Electron., 2015
Novel Architecture for Cellular Neural Network Suitable for High-Density Integration of Electron Devices-Learning of Multiple Logics.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015
2014
Temperature Sensor employing Ring Oscillator composed of Poly-Si Thin-Film Transistors: Comparison between Lightly-Doped and Offset Drain Structures.
IEICE Trans. Electron., 2014
2008
IEICE Trans. Electron., 2008
2007
IEICE Trans. Electron., 2007
2005
Classification of Driving Methods for TFT-OLEDs and Novel Proposal Using Time Ratio Grayscale and Current Uniformization.
IEICE Trans. Electron., 2005
2002
Table look-up model of thin-film transistors for circuit simulationusing spline interpolation with transformation by y=x+log(x).
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2002