論文

• Tanoy Debnath, Takamichi Nakamoto. Machine learning for Scent: A Method of Extracting Sensing Data for Desired Scent Impressions, Expert systems with applications, Scientific Reports, Vol. 12, pp. 16297, Sept. 2022.
• Tanoy Debnath, Takamichi Nakamoto. Extracting Sensing Data for Desired Scent Impressions using mass spectra of odorant molecules, Scientific Reports, 12, No. 16297, Sept. 2022.
• Tanoy Debnath, Takamichi Nakamoto. Predicting individual perceptual scent impression from imbalanced dataset using mass spectrum of odorant molecules, Scientific Report, Vol. 12, Issue 11, Mar. 2022.
• anoy Debnath, Dani Prasetyawan, Takamichi Nakamoto. Predicting Odor Perception of Mixed Scent from Mass Spectrometry, Journal od electrochemical society, Vol. 168, Nov. 2021.
• Tanoy Debnath, Takamichi Nakamoto. Predicting human odor perception represented by continuous values from mass spectra of essential oils resembling chemical mixtures, PLOS ONE, June 2020.

国際会議発表 (査読有り)

• T. Debnath, T. Nakamoto. Predicting Odor Perception of Mixed Scent from Mass Spectrometry Using Machine Learning, IMCS2021, June 2021.
• T.Debnath, D.Prasetyawan, T.Nakamoto. Prediction of Odor Descriptor Group of Essential Oils from Mass Spectra using Machine Learning, ISOEN2019, May 2019.

国際会議発表 (査読なし・不明)

• Yuji Nozaki, Prasetyawan Dani, Tanoy Debnath, TAKAMICHI NAKAMOTO. Classification of Essential Oil Groups with Ensemble of Binary SVM Decision Trees, The 17th IMCS2018, pp. 909-910, July 2018.

国内会議発表 (査読なし・不明)

• Tanoy Debnath, Takamichi Nakamoto. Inverse method to predict Mass Spectrum for binary Odor Descriptor using Machine Learning, 電気学会全国大会, Mar. 2022.
• Tanoy Debnath, Yuji Nozaki, Prasetyawan Dani, TAKAMICHI NAKAMOTO. Rough classification of essential oil groups using mass spectra and multilayer perceptron, 第36回センサ･マイクロマシンと応用システム, Oct. 2018.

学位論文

• Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules,  Outline,  Doctor (Academic),  Tokyo Institute of Technology,  2022/09/22,   
• Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules,  Thesis,  Doctor (Academic),  Tokyo Institute of Technology,  2022/09/22, 
• Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules,  Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2022/09/22,   
• Machine learning for Scent: Forward and Inverse Perceptual model for Olfactory perception using mass spectrum of Odorant Molecules,  Exam Summary,  Doctor (Academic),  Tokyo Institute of Technology,  2022/09/22,   

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