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ORCID13th IWCIA 2023: Hiroshima, Japan
- 13th IEEE International Workshop on Computational Intelligence and Applications, IWCIA 2023, Hiroshima, Japan, November 11-12, 2023. IEEE 2023, ISBN 979-8-3503-0554-8
- Noma Asako, Naoki Takahashi, Toru Nakata, Takashi Sakamoto, Toshikazu Kato:
Suitable Typefaces for Food Packaging to Express Taste: A Comparative Study of Chinese and Japanese Cultures. 1-6 - Taiyo Sunny Kojima, Kosaku Ueda, Naoki Takahashi, Toru Nakata, Takashi Sakamoto, Toshikazu Kato:
Discussion Support System Encouraging EEG Cognitive Empathy between Participants. 1-6 - Edward Ly
, Julián Villegas:
Digital Filter Design via Recurrent Cartesian Genetic Programming. 7-12 - Yuxuan Wang, Yoshinobu Maeda, Taishin Nomura, Masako Ishii:
An Attempt to Analyze the Fluctuation in Vergence Distance During 3D Video Watching. 13-18 - Naoki Takahashi, Toshikazu Kato, Takashi Sakamoto, Yui Yokoyama, Toru Nakata:
Reading Strategy and Eye Movement of Japanese Students When Reading English as a Foreign Language. 19-24 - Naoki Kuwahara, Naoki Takahashi, Toru Nakata, Takashi Sakamoto, Toshikazu Kato:
An Encouraging System based on Student Attitude Classification. 25-30 - Qin Li, Xin Zhu, Wenfeng Shen:
An Approach to Accelerate Three-dimensional Cardiac Simulation on GPU. 37-42 - Shinya Sekizaki, Shuya Sato, Seigo Terayama, Ichiro Nishizaki, Tomohiro Hayashida, Takaaki Mutou, Yasuyuki Kunii:
Distribution System Reconfiguration using A Multiobjective Evolutionary Algorithm with An External Archive. 43-49 - Makoto Kimura, Aya Ishigaki, Nari Tanabe:
Dual Resource-Constrained Scheduling Problem Considering Differences in Processing Time among Operators and Rush Order. 51-56 - Daniel Moritz Marutschke:
Asymmetric Similarity Scores of Color Names in Twitter-Based Language Models. 57-63 - Thanawit Gerdprasert, Shingo Mabu:
Pseudo-Labeling With Contrastive Perturbation Using CNN & ViT for Chest X-ray Classification. 65-69 - Keiichi Tamura, Yoshiki Nakagawa:
Modified MC-MHLF Model using Multi-Channel Input for Time Series Classification. 71-78 - Ryuto Kawane, Hiromasa Ijuin, Koki Karube, Masao Sugi, Tomohiro Nakada, Tetsuo Yamada:
Identification of potential improvement assembly movements using worker classification by motion capture and machine learning. 79-84
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