(2′) 実験に用いたGAの画像

【1】T. Ito, et al., “Detection of lesion candidates and extraction of diagnostically inconclusive images in capsule endoscopy using YOLOv5,” Proceedings of the 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 692–700 (2024).
【2】H. Watanabe, et al., “Evaluation of gaze input in 3D space for a person with multiple physical disabilities using a robot and drones,” Proceedings of the 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 928–933 (2024).
【3】S. Kotani, et al., “Danger estimation of the Robotic Travel Aid (RoTA) at intersection,” Robotics and Autonomous Systems 18, 235–242 (1996).
【4】H. Nakagomi, et al., “3D scan matching for mobile robot localization over rough terrain,” Electrical Engineering in Japan 209, 14–25 (2019).
【5】R. Cerrud, et al., “Development of quality control systems for an autonomous cherry sorting prototype,” Proceedings of the 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), pp. 27–32 (2024).
【6】K. Kawahori, et al., “Ascorbic acid during the suckling period is required for proper DNA demethylation in the liver,” Scientific Reports 10, 21228 (2020).
【7】J. Lee, et al., “In vitro generation of functional murine heart organoids via FGF4 and extracellular matrix,” Nature Communications 11, 4283 (2020).
【8】Y. Kato, et al., “ELAVL2-directed RNA regulatory network drives the formation of quiescent primordial follicles,” EMBO Reports 20: e48251 (2019).
【9】H. Shiura, et al., “PEG10 viral aspartic protease domain is essential for the maintenance of fetal capillary structure in the mouse placenta,” Development 148, dev199564 (2021).
【10】M. Mizuguchi, et al., “Promoter CpG methylation inhibits Krüppel-like factor 2 (KLF2)-mediated repression of hTERT gene expression in human T-cells,” Biochemistry and Biophysics Reports 26, 100984 (2021).
【11】K. Ozawa, et al., “Development of an estimation model for instantaneous presence in audio-visual content,” IEICE Transactions on Information and Systems E99-D, 120–127 (2016).
【12】K. Ozawa, et al., “Effects of listening attitudes on affective evaluation of switch sounds,” Proceedings of ISASE 2019, C000018 (2019).
【13】A. Iseki, et al., “Neural-network-based microphone-array system trained with temporal-spatial patterns of multiple sinusoidal signals,” Acoustical Science and Technology 38, 63–70 (2017).
【14】M. Itokazu, et al., “Individual equalization in binaural reproduction of a reverberant sound field,” Acoustical Science and Technology 30, 25–32 (2009).
【15】Morozumi, Y., Ozawa, K., Toya, T., Zhu, Y., Kuge, Y., Ito, N., Yamada, Y., “Personalization of a tactile inference model for rotary encoders using transfer learning,” International Journal of Affective Engineering, Vol. 24, No. 3, pp. 193–207 (2025).
【16】T. Toya, et al., “Methods for improving word intelligibility of bone-conducted speech by using bone-conduction headphones,” Applied Acoustics 207, 109337 (2023).
【17】T. Toya, et al., “Measurements of transmission characteristics related to bone-conducted speech using excitation signals in the oral cavity,” Journal of Speech, Language, and Hearing Research 63, 4252–4264 (2020).
【18】T. Toya, et al., “Method for improving the word intelligibility of presented speech using bone-conduction headphones,” Proceedings of Interspeech 2022, pp. 759–763 (2022).
【19】T. Toya, et al., “Study on Effects of Speech Production during Delayed Auditory Feedback for Air-Conducted and Bone-Conducted Speech,” Journal of Signal Processing 20(4), 197–200 (2016).
【20】Y. Uezu, et al., “Consonant-emphasis method incorporating robust consonant-section detection to improve intelligibility of bone-conducted speech,” Proceedings of Interspeech 2023, pp. 849–853 (2023).