Self-organizing map hardware accelerator system and its application to realtime image enlargement. - Hakaru Tamukoh; Taksahi Aso; Keiichi Horio; Takeshi Yamakawa (IJCNN, 2004)

A Digital Hardware Architecture of Self-Organizing Relationship (SOR) Network. - Hakaru Tamukoh; Keiichi Horio; Takeshi Yamakawa (ICONIP (3), 2006)

A bit-shifting-based fuzzy inference for self-organizing relationship (SOR) network. - Hakaru Tamukoh; Keiichi Horio; Takeshi Yamakawa (IEICE Electron. Express, 2007)

A Dynamically Reconfigurable Platform for Self-Organizing Neural Network Hardware. - Hakaru Tamukoh; Masatoshi Sekine (ICONIP (2), 2010)

Effective and Adaptive Learning Based on Diversive/Specific Curiosity. - Naoki Shimo; Shaoning Pang 001; Keiichi Horio; Nikola K. Kasabov; Hakaru Tamukoh; Takanori Koga; Satoshi Sonoh; Hirohisa Isogai; Takeshi Yamakawa (Brain-Inspired Information Technology, 2010)

Emotional Behavior and Expression Based on a Neural Network Model of Amygdala. - Satoshi Sonoh; Shuji Aou; Keiichi Horio; Hakaru Tamukoh; Takanori Koga; Naoki Shimo; Takeshi Yamakawa (Brain-Inspired Information Technology, 2010)

Rough winner-take-all for hardware oriented vector quantization algorithm. - Hakaru Tamukoh; Keiichi Horio; Takeshi Yamakawa; Masatoshi Sekine (IEICE Electron. Express, 2011)

2D/3D FPGA array for brain process and numerical computation. - Jiang Li 007; Kenichi Takahashi; Hakaru Tamukoh; Masatoshi Sekine (ICNC, 2012)

Live demonstration: "Internet Booster" a novel WEB application platform accelerated by reconfigurable virtual hardware circuits. - Hakaru Tamukoh; Nadav Bergstein; Kotoko Fujita; Masatoshi Sekine (ISCAS, 2012)

Parameterized Digital Hardware Design of Pulse-Coupled Phase Oscillator Model toward Spike-Based Computing. - Yasuhiro Suedomi; Hakaru Tamukoh; Michio Tanaka; Kenji Matsuzaka; Takashi Morie (ICONIP (3), 2013)

Design of networked hw/sw complex system using hardware object model and its application. - Hakaru Tamukoh; Masatoshi Sekine (IECON, 2013)

Morphological Associative Memory Employing a Split Store Method. - Hakaru Tamukoh; Kensuke Koga; Hideaki Harada; Takashi Morie (ICONIP (3), 2014)

Fuzzy-rule-embedded Reduction Image Construction Method for Image Enlargement with High Magnification. - Hakaru Tamukoh; Noriaki Suetake; Hideaki Kawano; Ryosuke Kubota; Byungki Cha; Takashi Aso (VISAPP (1), 2014)

Improvement of lightness modification method based on Craik-O'Brien effect for dichromats. - Shi Bao; Go Tanaka; Hakaru Tamukoh; Noriaki Suetake (ISPACS, 2015)

A Color Quantization Based on Vector Error Diffusion and Particle Swarm Optimization Considering Human Visibility. - Ryosuke Kubota; Hakaru Tamukoh; Hideaki Kawano; Noriaki Suetake; Byungki Cha; Takashi Aso (PSIVT, 2015)

A Multidimensional Configurable Processor Array - Vocalise. - Jiang Li 007; Yusuke Atsumari; Hiromasa Kubo; Yuichi Ogishima; Satoru Yokota; Hakaru Tamukoh; Masatoshi Sekine (IEICE Trans. Inf. Syst., 2015)

Parameterized digital hardware design of pulse-coupled phase oscillator networks. - Yasuhiro Suedomi; Hakaru Tamukoh; Kenji Matsuzaka; Michio Tanaka; Takashi Morie (Neurocomputing, 2015)

Restricted Boltzmann Machines Without Random Number Generators for Efficient Digital Hardware Implementation. - Sansei Hori; Takashi Morie; Hakaru Tamukoh (ICANN (1), 2016)

FPGA Implementation of Autoencoders Having Shared Synapse Architecture. - Akihiro Suzuki; Takashi Morie; Hakaru Tamukoh (ICONIP (1), 2016)

Time-Domain Weighted-Sum Calculation for Ultimately Low Power VLSI Neural Networks. - Quan Wang; Hakaru Tamukoh; Takashi Morie (ICONIP (1), 2016)

A CMOS Unit Circuit Using Subthreshold Operation of MOSFETs for Chaotic Boltzmann Machines. - Masatoshi Yamaguchi; Takashi Kato; Quan Wang; Hideyuki Suzuki; Hakaru Tamukoh; Takashi Morie (ICONIP (1), 2016)

Depth-Based Visual Servoing Using Low-Accurate Arm. - Ludovic Hofer; Michio Tanaka; Hakaru Tamukoh; Amir Ali Forough Nassiraei; Takashi Morie (SCIS&ISIS, 2016)

Lightness Modification Method Considering Craik-O'Brien Effect for Protanopia and Deuteranopia. - Shi Bao; Go Tanaka; Hakaru Tamukoh; Noriaki Suetake (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2016)

A Hardware-Oriented Dropout Algorithm for Efficient FPGA Implementation. - Yoeng Jye Yeoh; Takashi Morie; Hakaru Tamukoh (ICONIP (6), 2017)

A CMOS chaotic Boltzmann machine circuit and three-neuron network operation. - Masatoshi Yamaguchi; Hakaru Tamukoh; Hideyuki Suzuki; Takashi Morie (IJCNN, 2017)

Evaluation of Hardware Oriented MRCoHOG using Logic Simulation. - Yuta Yamasaki; Shiryu Ooe; Akihiro Suzuki; Kazuhiro Kuno; Hideo Yamada; Shuichi Enokida; Hakaru Tamukoh (VISIGRAPP (5: VISAPP), 2017)

Hibikino-Musashi@Home 2017 Team Description Paper. - Sansei Hori; Yutaro Ishida; Yuta Kiyama; Yuichiro Tanaka; Yuki Kuroda; Masataka Hisano; Yuto Imamura; Tomotaka Himaki; Yuma Yoshimoto; Yoshiya Aratani; Kouhei Hashimoto; Gouki Iwamoto; et al. (CoRR, 2017)

Synchronization of Pulse-Coupled Phase Oscillators over Multi-FPGA Communication Links. - Dinda Pramanta; Takashi Morie; Hakaru Tamukoh (J. Robotics Netw. Artif. Life, 2017)

Mixed Precision Weight Networks: Training Neural Networks with Varied Precision Weights. - Ninnart Fuengfusin; Hakaru Tamukoh (ICONIP (2), 2018)

Live Demonstration: A Hardware Accelerated Robot Middleware Package for Intelligent Processing on Robots. - Yutaro Ishida; Takashi Morie; Hakaru Tamukoh (ISCAS, 2018)

A Hardware Accelerated Robot Middleware Package for Intelligent Processing on Robots. - Yutaro Ishida; Takashi Morie; Hakaru Tamukoh (ISCAS, 2018)

Reverse Reconstruction of Anomaly Input Using Autoencoders. - Akihiro Suzuki; Hakaru Tamukoh (ISPACS, 2018)

Object Recognition System using Deep Learning with Depth Images for Service Robots. - Yuma Yoshimoto; Hakaru Tamukoh (ISPACS, 2018)

A Time-domain Analog Weighted-sum Calculation Model for Extremely Low Power VLSI Implementation of Multi-layer Neural Networks. - Quan Wang; Hakaru Tamukoh; Takashi Morie (CoRR, 2018)

Foreword. - Hakaru Tamukoh; Noriaki Suetake (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2018)

High-Speed Synchronization of Pulse-Coupled Phase Oscillators on Multi-FPGA. - Dinda Pramanta; Hakaru Tamukoh (ICONIP (5), 2019)

Reservoir Computing Based on Dynamics of Pseudo-Billiard System in Hypercube. - Yuichi Katori; Hakaru Tamukoh; Takashi Morie (IJCNN, 2019)

A Chaotic Boltzmann Machine Working as a Reservoir and Its Analog VLSI Implementation. - Masatoshi Yamaguchi; Yuichi Katori; Daichi Kamimura; Hakaru Tamukoh; Takashi Morie (IJCNN, 2019)

Live Demonstration: Hardware Implementation of Brain-Inspired Amygdala Model. - Yuichiro Tanaka; Hakaru Tamukoh (ISCAS, 2019)

Hardware Implementation of Brain-Inspired Amygdala Model. - Yuichiro Tanaka; Hakaru Tamukoh (ISCAS, 2019)

Live Demonstration: A VLSI Implementation of Time-Domain Analog Weighted-Sum Calculation Model for Intelligent Processing on Robots. - Masatoshi Yamaguchi; Gouki Iwamoto; Yushi Abe; Yuichiro Tanaka; Yutaro Ishida; Hakaru Tamukoh; Takashi Morie (ISCAS, 2019)

An Energy-efficient Time-domain Analog VLSI Neural Network Processor Based on a Pulse-width Modulation Approach. - Masatoshi Yamaguchi; Goki Iwamoto; Hakaru Tamukoh; Takashi Morie (CoRR, 2019)

Network with Sub-Networks. - Ninnart Fuengfusin; Hakaru Tamukoh (CoRR, 2019)

Design and Implementation of Pulse-Coupled Phase Oscillators on a Field-Programmable Gate Array for Reservoir Computing. - Dinda Pramanta; Hakaru Tamukoh (ICONIP (5), 2020)

Live Demonstration: Hardware-Oriented Dual Stream Object Recognition System using Binarized Neural Networks. - Yuma Yoshimoto; Hakaru Tamukoh (ISCAS, 2020)

Hardware-Oriented Dual Stream Object Recognition System using Binarized Neural Networks. - Yuma Yoshimoto; Hakaru Tamukoh (ISCAS, 2020)

FPGA Implementation of Hardware-Oriented Chaotic Boltzmann Machines. - Ichiro Kawashima; Takashi Morie; Hakaru Tamukoh (IEEE Access, 2020)

An Amygdala-Inspired Classical Conditioning Model Implemented on an FPGA for Home Service Robots. - Yuichiro Tanaka; Takashi Morie; Hakaru Tamukoh (IEEE Access, 2020)

A hardware intelligent processing accelerator for domestic service robots. - Yutaro Ishida; Takashi Morie; Hakaru Tamukoh (Adv. Robotics, 2020)

Hibikino-Musashi@Home 2020 Team Description Paper. - Tomohiro Ono; Yuichiro Tanaka; Yutaro Ishida; Yushi Abe; Kazuki Kanamaru; Daichi Kamimura; Kentaro Nakamura; Yuta Nishimura; Shoshi Tokuno; Yuya Mii; Morio Yamauchi; Yuichiro Uemura; et al. (CoRR, 2020)

Hibikino-Musashi@Home 2019 Team Description Paper. - Yuichiro Tanaka; Yutaro Ishida; Yushi Abe; Tomohiro Ono; Kohei Kabashima; Takuma Sakata; Masashi Fukuyado; Fuyuki Muto; Takumi Yoshii; Kazuki Kanamaru; Daichi Kamimura; Kentaro Nakamura; et al. (CoRR, 2020)

Semi-Automatic Dataset Generation for Object Detection and Recognition and its Evaluation on Domestic Service Robots. - Yutaro Ishida; Hakaru Tamukoh (J. Robotics Mechatronics, 2020)

Training Autoencoder using Three Different Reversed Color Models for Anomaly Detection. - Obada Al Aama; Hakaru Tamukoh (J. Robotics Netw. Artif. Life, 2020)

A Hardware-Oriented Echo State Network and its FPGA Implementation. - Kentaro Honda; Hakaru Tamukoh (J. Robotics Netw. Artif. Life, 2020)

A dataset generation for object recognition and a tool for generating ROS2 FPGA node. - Hayato Amano; Hayato Mori; Akinobu Mizutani; Tomohiro Ono; Yuma Yoshimoto; Takeshi Ohkawa; Hakaru Tamukoh (FPT, 2021)

An area-efficient multiply-accumulation architecture and implementations for time-domain neural processing. - Ichiro Kawashima; Yuichi Katori; Takashi Morie; Hakaru Tamukoh (FPT, 2021)

FPGA Implementation of Pulse-Coupled Phase Oscillators working as a Reservoir at the Edge of Chaos. - Dinda Pramanta; Hakaru Tamukoh (ISCAS, 2021)

A Color Image Quantization Method Considering Chromatic Visual Impression. - Yukiya Fukuda; Ryosuke Kubota; Hakaru Tamukoh (ISCIT, 2021)

Open Set Recognition Using the Feature Space of Deep Neural Networks. - Daiju Kanaoka; Yuichiro Tanaka; Hakaru Tamukoh (ISPACS, 2021)

Brain-inspired neural network navigation system with hippocampus, prefrontal cortex, and amygdala functions. - Akinobu Mizutani; Yuichiro Tanaka; Hakaru Tamukoh; Yuichi Katori; Katsumi Tateno; Takashi Morie (ISPACS, 2021)

An Energy-Efficient Time-Domain Analog CMOS BinaryConnect Neural Network Processor Based on a Pulse-Width Modulation Approach. - Masatoshi Yamaguchi; Goki Iwamoto; Yuta Nishimura; Hakaru Tamukoh; Takashi Morie (IEEE Access, 2021)

An efficient hardware-oriented dropout algorithm. - Yoeng Jye Yeoh; Takashi Morie; Hakaru Tamukoh (Neurocomputing, 2021)

FPGA Implementation of a Binarized Dual Stream Convolutional Neural Network for Service Robots. - Yuma Yoshimoto; Hakaru Tamukoh (J. Robotics Mechatronics, 2021)

Network with Sub-networks: Layer-wise Detachable Neural Network. - Ninnart Fuengfusin; Hakaru Tamukoh (J. Robotics Netw. Artif. Life, 2021)

A Sub-Model Detachable Convolutional Neural Network. - Ninnart Fuengfusin; Hakaru Tamukoh (J. Robotics Netw. Artif. Life, 2021)

Desgin and Implementation of ROS2-based Autonomous Tiny Robot Car with Integration of Multiple ROS2 FPGA Nodes. - Hayato Mori; Hayato Amano; Akinobu Mizutani; Eisuke Okazaki; Yuki Konno; Kohei Sada; Tomohiro Ono; Yuma Yoshimoto; Hakaru Tamukoh; Takeshi Ohkawa; Midori Sugaya (FPT, 2022)

A memory-based entorhinal-hippocampal model and its FPGA implementation by on-chip RAMs. - Ichiro Kawashima; Katsumi Tateno; Takashi Morie; Hakaru Tamukoh (ISCAS, 2022)

Applying Center Loss to Multidimensional Feature Space in Deep Neural Networks for Open-set Recognition. - Daiju Kanaoka; Yuichiro Tanaka; Hakaru Tamukoh (VISIGRAPP (5: VISAPP), 2022)

Hardware-oriented Algorithm for Human Detection using GMM-MRCoHOG Features. - Ryogo Takemoto; Yuya Nagamine; Kazuki Yoshihiro; Masatoshi Shibata; Hideo Yamada; Yuichiro Tanaka; Shuichi Enokida; Hakaru Tamukoh (VISIGRAPP (4: VISAPP), 2022)

An Implementation Method Using Cut-Off Bits for Restricted Boltzmann Machines Without Random Number Generators. - Sansei Hori; Hakaru Tamukoh (IEEE Access, 2022)

Emergence of In-Materio Intelligence from an Incidental Structure of a Single-Walled Carbon Nanotube-Porphyrin Polyoxometalate Random Network. - Deep Banerjee; Takumi Kotooka; Saman Azhari; Yuki Usami; Takuji Ogawa; James K. Gimzewski; Hakaru Tamukoh; Hirofumi Tanaka (Adv. Intell. Syst., 2022)

Solution of World Robot Challenge 2020 Partner Robot Challenge (Real Space). - Tomohiro Ono; Daiju Kanaoka; Tomoya Shiba; Shoshi Tokuno; Yuga Yano; Akinobu Mizutani; Ikuya Matsumoto; Hayato Amano; Hakaru Tamukoh (Adv. Robotics, 2022)

Hibikino-Musashi@Home 2018 Team Description Paper. - Yutaro Ishida; Sansei Hori; Yuichiro Tanaka; Yuma Yoshimoto; Kouhei Hashimoto; Gouki Iwamoto; Yoshiya Aratani; Kenya Yamashita; Shinya Ishimoto; Kyosuke Hitaka; Fumiaki Yamaguchi; Ryuhei Miyoshi; et al. (CoRR, 2022)

Hibikino-Musashi@Home 2022 Team Description Paper. - Tomoya Shiba; Tomohiro Ono; Shoshi Tokuno; Issei Uchino; Masaya Okamoto; Daiju Kanaoka; Kazutaka Takahashi 006; Kenta Tsukamoto; Yoshiaki Tsutsumi; Yugo Nakamura; Yukiya Fukuda; Yusuke Hoji; et al. (CoRR, 2022)

INT8 Activation Ternary or Binary Weights Networks: Unifying Between INT8 and Lower-bit Width Quantization. - Ninnart Fuengfusin; Hakaru Tamukoh (J. Robotics Netw. Artif. Life, 2022)

A Control and Data Transfer Platform for FPGA Applications. - Sansei Hori; Hakaru Tamukoh (J. Robotics Netw. Artif. Life, 2022)

ManifoldNeRF: View-dependent Image Feature Supervision for Few-shot Neural Radiance Fields. - Daiju Kanaoka; Motoharu Sonogashira; Hakaru Tamukoh; Yasutomo Kawanishi (BMVC, 2023)

LUTNet-RC: Look-Up Tables Networks for Reservoir Computing on an FPGA. - Kanta Yoshioka; Yuichiro Tanaka; Hakaru Tamukoh (ICFPT, 2023)

Traffic Flow Optimization using a Chaotic Boltzmann Machine Annealer on an FPGA. - Kanta Yoshioka; Yuichiro Tanaka; Hakaru Tamukoh (ICFPT, 2023)

Efficient Repetition Coding for Deep Learning Towards Implementation Using Emerging Non-Volatile Memory with Write-Errors. - Ninnart Fuengfusin; Hakaru Tamukoh; Yuichiro Tanaka; Osamu Nomura; Takashi Morie (IJCNN, 2023)

FPGA Implementation of a Chaotic Boltzmann Machine Annealer. - Kanta Yoshioka; Yuichi Katori; Yuichiro Tanaka; Osamu Nomura; Takashi Morie; Hakaru Tamukoh (IJCNN, 2023)

In-material reservoir implementation of reservoir-based convolution. - Yuichiro Tanaka; Yuki Usami; Hirofumi Tanaka; Hakaru Tamukoh (ISCAS, 2023)

Dense Traversability Estimation System for Extreme Environments. - Yukiya Fukuda; Yuya Mii; Yuga Yano; Hidenari Iwai; Shintaro Inoue; Hakaru Tamukoh (IV, 2023)

Autonomous Waiter Robot System for Recognizing Customers, Taking Orders, and Serving Food. - Yuga Yano; Kosei Isomoto; Tomohiro Ono; Hakaru Tamukoh (RoboCup, 2023)

Memory-Efficient Implementation of GMM-MRCoHOG for Human Recognition Hardware. - Ryogo Takemoto; Yuya Nagamine; Kazuki Yoshihiro; Masatoshi Shibata; Hideo Yamada; Yuichiro Tanaka; Shuichi Enokida; Hakaru Tamukoh (VISIGRAPP (4: VISAPP), 2023)

Self-Organizing Multiple Readouts for Reservoir Computing. - Yuichiro Tanaka; Hakaru Tamukoh (IEEE Access, 2023)

Hibikino-Musashi@Home 2023 Team Description Paper. - Tomoya Shiba; Akinobu Mizutani; Yuga Yano; Tomohiro Ono; Shoshi Tokuno; Daiju Kanaoka; Yukiya Fukuda; Hayato Amano; Mayu Koresawa; Yoshifumi Sakai; Ryogo Takemoto; Katsunori Tamai; et al. (CoRR, 2023)

Optimizing a Field-Programmable Gate Array Object Detection System Considering Processing System and Programmable Logic Load Balance. - Yusuke Watanabe; Hakaru Tamukoh (J. Robotics Netw. Artif. Life, 2023)

Robust Binary Encoding for Ternary Neural Networks Toward Deployment on Emerging Memory. - Ninnart Fuengfusin; Hakaru Tamukoh; Osamu Nomura; Takashi Morie (IJCNN, 2024)

A Hippocampus-Inspired Environment-Specific Knowledge Acquisition System Utilizing Common Knowledge with Contextual Information. - Akinobu Mizutani; Yuichiro Tanaka; Hakaru Tamukoh; Osamu Nomura; Katsumi Tateno; Takashi Morie (IJCNN, 2024)

CMOS digital-analog mixed signal VLSI implementation of a hippocampus-inspired model. - Yuka Shishido; Osamu Nomura; Katsumi Tateno; Hakaru Tamukoh; Takashi Morie (IJCNN, 2024)

Enhancing Memory Capacity of Reservoir Computing with Delayed Input and Efficient Hardware Implementation with Shift Registers. - Soshi Hirayae; Kanta Yoshioka; Atsuki Yokota; Ichiro Kawashima; Yuichiro Tanaka; Yuichi Katori; Osamu Nomura; Takashi Morie; Hakaru Tamukoh (ISCAS, 2024)

FPGA Implementation for Large Scale Reservoir Computing based on Chaotic Boltzmann Machine. - Shigeki Matsumoto; Yuki Ichikawa; Nobuki Kajihara; Hakaru Tamukoh (ISCAS, 2024)

Unified Understanding of Environment, Task, and Human for Human-Robot Interaction in Real-World Environments. - Yuga Yano; Akinobu Mizutani; Yukiya Fukuda; Daiju Kanaoka; Tomohiro Ono; Hakaru Tamukoh (RO-MAN, 2024)

Hibikino-Musashi@Home RoboCup@Home DSPL Champion 2024. - Akinobu Mizutani; Kosei Isomoto; Kosei Yamao; Ryohei Kobayashi 003; Soma Fumoto; Koshun Arimura; Naoki Yamaguchi; Tomoya Shiba; Kouki Kimizuka; Yuta Ohno; Ryo Terashima; Hiromasa Yamaguchi; et al. (RoboCup, 2024)

Haptic in-sensor computing device made of carbon nanotube-polydimethylsiloxane nanocomposites. - Kouki Kimizuka; Saman Azhari; Shoshi Tokuno; Ahmet Karacali; Yuki Usami; Shuhei Ikemoto; Hakaru Tamukoh; Hirofumi Tanaka (CoRR, 2024)

Hibikino-Musashi@Home 2024 Team Description Paper. - Kosei Isomoto; Akinobu Mizutani; Fumiya Matsuzaki; Hikaru Sato; Ikuya Matsumoto; Kosei Yamao; Takuya Kawabata; Tomoya Shiba; Yuga Yano; Atsuki Yokota; Daiju Kanaoka; Hiromasa Yamaguchi; et al. (CoRR, 2024)

Harden Deep Neural Networks Against Fault Injections Through Weight Scaling. - Ninnart Fuengfusin; Hakaru Tamukoh (CoRR, 2024)

Enhancing Neural Network Robustness Against Fault Injection Through Non-linear Weight Transformations. - Ninnart Fuengfusin; Hakaru Tamukoh (CoRR, 2024)

Reservoir-Based 1D Convolution: Low-Training-Cost AI. - Yuichiro Tanaka; Hakaru Tamukoh (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024)

Towards Optimizing Physical Reservoir Computing: A Hybrid PCPO-ESN Framework for Time Series Forecasting. - Dinda Pramanta; Ninnart Fuengfusin; Arie Rachmad Syulistyo; Hakaru Tamukoh (ISCAS, 2025)

An in-memory computing circuit with carry-over thermometer coding for a hippocampus-inspired model. - Yuka Shishido; Tomoro Marcus Jones; Hakaru Tamukoh; Takashi Morie (ISCAS, 2025)

Reservoir Computing with VCO-Based Spiking Neurons for Regression and Classification. - Kanta Yoshioka; Parker Allred; Taylor Barton; Bibhu Datta Sahoo 003; Yen-Cheng Kuan; Shiuh-Hua Wood Chiang; Hakaru Tamukoh (ISCAS, 2025)

Lightweight Hand-Waving Action Recognition Using Reservoir Computing in a Cafeteria Environment. - Kosei Isomoto; Soma Fumoto; Ryohei Kobayashi 003; Yuichiro Tanaka; Hakaru Tamukoh (SII, 2025)

Dynamic Threshold Spatial-Temporal Filter on FPGAs for Event-based Vision Sensors*. - Ryuta Toyoda; Kanta Yoshioka; Hakaru Tamukoh (SII, 2025)

Object Positions Interpretation System for Service Robots Through Targeted Object Marking. - Kosei Yamao; Daiju Kanaoka; Kosei Isomoto; Hakaru Tamukoh (SII, 2025)

Techniques for Enhancing Memory Capacity of Reservoir Computing. - Atsuki Yokota; Ichiro Kawashima; Yohei Saito; Hakaru Tamukoh; Osamu Nomura; Takashi Morie (CoRR, 2025)

Haptic In-Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir. - Kouki Kimizuka; Saman Azhari; Shoshi Tokuno; Ahmet Karacali; Yuki Usami; Shuhei Ikemoto; Hakaru Tamukoh; Hirofumi Tanaka (Adv. Intell. Syst., 2025)

Simple open-set recognition combining metric learning and anomaly detection. - Daiju Kanaoka; Yuichiro Tanaka; Hakaru Tamukoh (Adv. Robotics, 2025)