Journal Paper

• Dani, Hanquing Zhao, Takamichi Nakamoto. Interference Separation Using Improved Nonnegative Matrix Factorization for Odor Reproduction Analysis in Mass Spectrum Space, Grapevine, TX, USA, 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), pp. 1-4, May 2024.

International Conference (Not reviewed / Unknown)

• Lidong Huang, Dani Prasetyawan, Takamichi Nakamoto. Separation of interference using improved NMF in mass spectrum space for odor reproduction analysis, IEEE Sensors 2023, Oct. 2024.
• Debabhuti Nilava, Dani Prasetyawan, Takamichi Nakamoto. Droplet formation analysis for multi-component olfactory display using inkjet devices., 2024 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN), IEEE, May 2024.
• Masaaki Iseki, Takamichi Nakamoto, Dani Prasetyawan, Hiroki Tanabe. Platform of Odor Reproduction using Multi-component Olfactory Display, International Olfactory Display Workshop 2024, May 2024.

Domestic Conference (Not reviewed / Unknown)

• Jingchen Hu, Manuel Aleixandre, Dani Prasetyawan, Takamichi Nakamoto. A Study of Odor Reproduction Using Odor Components based on human perception data, 電気学会E部門総合研究会 ケミカルセンサ研究会, July 2024.
• Dani Prasetyawan, Lidong Huang, Takamichi Nakamoto. Interference Separation Using Improved NMF for Odor Reproduction Analysis, 電気学会全国大会, Mar. 2024.
• Aleixandre Manuel, Prasetyawan Dani, Nakamoto Takamichi. Odor Synthesis Method Based on Odor Components Using Deep Neural Networks, 電気学会ケミカルセンサ研究会, Mar. 2024.
• Shengyu Wang, Dani Prasetyawan, Takamichi Nakamoto. Odor reproduction analysis with inerference removal, 電気学会全国大会, Mar. 2024.
• Nilava Dababhuti, D.Prasetyawan, T.Nakamoto. Optimization for improveing olfactory display using inkjet devices, 電気学会ケミカルセンサ研究会2024, Mar. 2024.
• Yoshiki Hara, Prasetyawan Dani, TAKAMICHI NAKAMOTO. 機械学習を用いた精油の匂い記述子の予測, 電気学会全国大会, Mar. 2024.

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