Rchr
J-GLOBAL ID：201801011142870495
Update date: Apr. 21, 2024
Gao Shangce
コウ ショウサク | Gao Shangce
Affiliation and department：
Homepage URL (1)：
https://toyamaailab.github.io
Research field (4)：
Biological, health, and medical informatics
, Mathematical informatics
, Intelligent informatics
, Soft computing
Research keywords (8)：
Artificial Intelligence
, Computational Intelligence
, Deep Learning
, Evolutionary Computation
, 知能情報
, Machine Learning
, Neural Network
, Medical Engineering
Research theme for competitive and other funds (3)：
- 2022 - 2025 Toward next-generation flexible and interpretable deep learning: A novel evolutionary wide dendritic learning
- 2019 - 2022 Next-Generation Ultrasonic Beamformer with Innovative Transducer and Deep Learning
- 2017 - 2019 Improving evolutionary algorithms from population structures and interaction networks
Papers (294)：
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Keyu Song, Yang Yu, Tengfei Zhang, Xiaosi Li, Zhenyu Lei, Houtian He, Yizheng Wang, Shangce Gao. Short-term load forecasting based on CEEMDAN and dendritic deep learning. Knowledge-Based Systems. 2024
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Zhentao Tang, Kaiyu Wang, Yan Zang, Qianyu Zhu, Yuki Todo, Shangce Gao. Fractional-Order Water Flow Optimizer. International Journal of Computational Intelligence Systems. 2024
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Tao Zheng, Haotian Li, Houtian He, Zhenyu Lei, Shangce Gao. An Adaptive Strategy-incorporated Integer Genetic Algorithm for Wind Farm Layout Optimization. Journal of Bionic Engineering. 2024
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Yuga Mori, Masaaki Omura, Shota Suzuki, Ryo Nagaoka, Shangce Gao, Kunimasa Yagi, Hideyuki Hasegawa. Robust adversarial learning model to segment non-speckle regions in blood flow echo. Japanese Journal of Applied Physics. 2024
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Yirui Wang, Zonghui Cai, Lijun Guo, Guoqing Li, Yang Yu, Shangce Gao. A spherical evolution algorithm with two-stage search for global optimization and real-world problems. Information Sciences. 2024
ｍore...
MISC (12)：
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Jiayi Li, Zhipeng Liu, Rong Long Wang, Shangce Gao. Dendritic Deep Residual Learning for COVID-19 Prediction. IEEJ Transactions on Electrical and Electronic Engineering. 2023. 18. 2. 297-299
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川中雄太, 佐藤周平, 櫻井快勢, 高尚策, 唐政. ディープラーニングによる顔のスケッチ画像からの3Dモデル生成. 情報処理学会研究報告(Web). 2022. 2022. CG-185
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高田大夢, 佐藤周平, GAO Shangce, TANG Zheng. An Experimental Study on Estimating Residual Quantity of Foodstuff based on Deep Learning using 3D Model. 映像情報メディア学会技術報告. 2022. 46. 10(AIT2022 38-165)
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磯谷春慶, 佐藤周平, GAO Shangce, TANG Zheng. An Experimental Study on Modeling Fluid Flow using VR. 映像情報メディア学会技術報告. 2022. 46. 10(AIT2022 38-165)
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池尾歩, 斎藤彪雅, 佐藤周平, GAO Shangce, TANG Zheng. An Experimental Study on Simulating Shear Thickening Fluids using FLIP. 映像情報メディア学会技術報告. 2022. 46. 10(AIT2022 38-165)
ｍore...
Professional career (1)：
Work history (1)：
- 2014/04 - 現在 University of Toyama
Association Membership(s) (3)：
THE INSTITUTE OF ELECTRICAL ENGINEERS OF JAPAN
, THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS
, IEEE
