Faculty Information - Kamada Shin |

（Last updated : 2024-09-19 09:30:04）

Kamada Shin

Department / Course Hiroshima City University Graduate School Graduate School of Information Sciences Major in Intelligent Systems

Hiroshima City University Faculty of Information Sciences Department of Intelligent Systems

Job Associate Professor

Business career
2022/04/01 ～	Associate Professor Hiroshima City University Graduate School Graduate School of Information Sciences Major in Intelligent Systems
2022/04/01 ～	Associate Professor Hiroshima City University Faculty of Information Sciences Department of Intelligent Systems

Academic background
2015/04/01～2019/03/31	Doctoral Program (2nd Semester) Hiroshima City University Finished

Present specialized field
Intelligent informatics keyword(Computational Intelligence, Machine Learning, Deep Learning)

Book and thesis
Papers	3D Lung Tumor Segmentation System using Adaptive Structural Deep Belief Network Handbook on Intelligent Systems Reference Library, Advances in Intelligent Disease Diagnosis and Treatment 259,pp.101-118 (Co-authored) 2024/09
Papers	A Segmentation Method of Lung Tumor by using Adaptive Structural Deep Belief Network Proc. of The SICE Annual Conference 2023 (SICE 2023),pp.1529-1534 (Co-authored) 2023/09
Papers	A Teacher-Student based Adaptive Structural Deep learning Model and Its Estimating Uncertainty of Image Data Handbook of Statistics Volume 49: Artificial Intelligence 49,pp.1-21 (Co-authored) 2023/07
Papers	Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16,pp.6310-6324 (Co-authored) 2023/07
Papers	Adaptive Structural Learning of Deep Belief Network and its Application to Real Time Crack Detection of Concrete Structure using Drone Handbook on Artificial Intelligence-Empowered Applied Software Engineering, Artificial Intelligence-Enhanced Software and Systems Engineering 3,pp.187-206 (Co-authored) 2022/10
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