KIYAMA Masato

Research field (1)： Software

Research theme for competitive and other funds (1)：

Papers (32)：

Kei Ishida, Ali Ercan, Takeyoshi Nagasato, Masato Kiyama, Motoki Amagasaki. Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling. Journal of Environmental Management. 2024
Shoki Sakaguchi, Motoki Amagasaki, Masato Kiyama, Toshiaki Okamoto. Multi-Camera People Tracking With Spatio-Temporal and Group Considerations. IEEE Access. 2024
Mery Diana, Masato Kiyama, Motoki Amagasaki, Masayoshi Ito, Yuki Morishita. A Deep Neural Network Translator for Edge Site Implementation. 2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW). 2023
Mery Diana, Ridhwan Amin, Motoki Amagasaki, Masato Kiyama. A Lightweight Deep Neural Network Using a Mixer-Type Nonlinear Vector Autoregression. IEEE Access. 2023
Tomoki Izumi, Motoki Amagasaki, Kei Ishida, Masato Kiyama. Super-resolution of sea surface temperature with convolutional neural network- and generative adversarial network-based methods. Journal of Water and Climate Change. 2022. 13. 4. 1673-1683

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MISC (52)：

大窪啓士, 木山真人, 尼崎太樹, 脇幸太郎, 長岡克弥, 田中靖人. Exploration of Soft Palate Image Based Diagnostic System for High-Risk Individuals of Esophageal Cancer. 電子情報通信学会技術研究報告(Web). 2024. 123. 357(NC2023 38-42)
宮崎和也, 木山真人, 尼崎太樹, 岡本利章. Multi-agent reinforcement learning based control method for large-scale crowd movement on Mojiko Fireworks Festival dataset. 電子情報通信学会技術研究報告(Web). 2024. 123. 410(IBISML2023 40-51)
久野優太, 尼崎太樹, 木山真人. Proposal and Evaluation of the Personnel Monitoring System to Prevent the Spread of Infection. 情報処理学会論文誌ジャーナル(Web). 2023. 64. 5
田中大智, 重松祐匡, 木山真人, 尼崎太樹. Semantic Similarity Index of Sentences. 人工知能学会全国大会論文集(Web). 2023. 37th
吉永温司, 木山真人, 尼崎太樹. Badminton Rally Analysis Using LSTM. 電子情報通信学会技術研究報告(Web). 2023. 123. 311(IBISML2023 30-39)

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Lectures and oral presentations (11)：

The Design and Development of of Quantized Neural Networks Library for Exact Hardware Emulation
(2021)
RustによるDNN Compilerの実装
(第22回プログラミングおよびプログラミング言語ワークショップ 2020)
正確なハードウェアエミュレーションを行う量子化DNNライブラリの開発
(リコンフィギャラブルシステム研究会 2019)
ハードウェアでの実装が容易になるDNN設計フレームワークPyParchの開発
(LSIとシステムのワークショップ2019 2019)
Deep Learning Framework with Numerical Precision
(RECONF 2019)

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Education (3)：

2001 - 2003 Hiroshima City University
1999 - 2001 Hiroshima City University
1995 - 1999 Hiroshima City University Faculty of Information Science Faculty of Information Science

Professional career (1)：

Work history (4)：

Awards (1)：

2024/09 - 公益財団法人電気科学技術奨励会第72回電気科学技術奨励賞全国初の電動スクールバスの実証による地域の低炭素化、エネルギー地産地消強靭化の取り組み

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