| Title | Author | Year | Journal |
| A neural network approach to sarcopenia prediction based on bioelectrical impedance in community-dwelling older adults | Kyohei Shibuya et al. | 2025 | PLoS One 20(11): e0335601. |
| A Deep Learning Framework for Predicting Global Warming Potential of Refrigerants for Sustainable Chemical Design | Navin Rajapriya, and
Kotaro Kawajiri | 2025 | ACS Sustainable Chem. Eng. 2025, |
| Examination of Social Participation in Older Adults Undergoing Frailty Health Checkups Using Deep Learning Models. | Yoshiharu Yokokawa et al. | 2025 | Geriatrics 10.5 (2025): 124. |
| Dynamic analysis for prediction of flow patterns in an oscillatory baffled reactor using machine learning. | Hideyuki Matsumoto et al. | 2025 | Systems and Control Transactions (2025): 394-398. |
| A Study of Deep Learning for Quantitative Analysis of Vitamin A in Cattle Blood | Mizuki Shibasaki et al. | 2024 | Journal of Computer Chemistry, Japan-International Edition 10 (2024). |
| Machine Learning for Characterizing Biofuels Based on Femtosecond Laser Ionization Mass Spectrometry | Tomoko Imasaka et al. | 2024 |
Analytical Chemistry, 96, 25, (2024), 10193–10199 |
| Role and Potential of Aluminium and Its Alloys for a Zero-Carbon Society | Shinji Kumai | 2023 | Materials Transactions 64.2 (2023): 319-333. |
| ゼロカーボン社会構築におけるアルミニウムとその合金の役割と可能性 | Shinji Kumai | 2023 | 軽金属 73 巻 (2023) 9 号 |
