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期刊
ISSN
0914-4935
刊名
Sensors and materials
参考译名
传感器与材料
收藏年代
1998~2023
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2023, vol.35, no.1 Pt.1
2023, vol.35, no.1 Pt.2
2023, vol.35, no.1 Pt.3
2023, vol.35, no.10 Pt.1
2023, vol.35, no.10 Pt.2
2023, vol.35, no.10 Pt.3
2023, vol.35, no.11 Pt.1
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2023, vol.35, no.11 Pt.3
2023, vol.35, no.11 Pt.4
2023, vol.35, no.12 Pt.1
2023, vol.35, no.12 Pt.2
2023, vol.35, no.12 Pt.3
2023, vol.35, no.12 Pt.4
2023, vol.35, no.2 Pt.1
2023, vol.35, no.2 Pt.2
2023, vol.35, no.2 Pt.3
2023, vol.35, no.3 Pt.1
2023, vol.35, no.3 Pt.2
2023, vol.35, no.3 Pt.3
2023, vol.35, no.3 Pt.4
2023, vol.35, no.4 Pt.1
2023, vol.35, no.4 Pt.2
2023, vol.35, no.4 Pt.3
2023, vol.35, no.5 Pt.1
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2023, vol.35, no.5 Pt.3
2023, vol.35, no.6 Pt.1
2023, vol.35, no.6 Pt.2
2023, vol.35, no.6 Pt.3
2023, vol.35, no.7 Pt.1
2023, vol.35, no.7 Pt.2
2023, vol.35, no.7 Pt.3
2023, vol.35, no.7 Pt.4
2023, vol.35, no.8 Pt.1
2023, vol.35, no.8 Pt.2
2023, vol.35, no.8 Pt.3
2023, vol.35, no.8 Pt.4
2023, vol.35, no.9 Pt.1
2023, vol.35, no.9 Pt.2
2023, vol.35, no.9 Pt.3
题名
作者
出版年
年卷期
Measurement of Glycogen Content in Wagyu Beef Using Near-infrared Spectroscopy with Multiple-reflection Attenuated Total Reflectance
Shaoyang Gao; Yuanchang Liu; Rui Yatabe; Takeshi Onodera; Masami Nishimura; Takuya Nogi; Toshiaki Oe; Kiyoshi Toko
2023
2023, vol.35, no.7 Pt.1
Effect of Combinations of Sensor Positions on Wearable-sensor-based Human Activity Recognition
Yuhao Duan; Kaori Fujinami
2023
2023, vol.35, no.7 Pt.1
Image Caption Generation Using Scoring Based on Object Detection and Word2Vec
Tadanobu Misawa; Nozomi Morizumi; Kazuya Yamashita
2023
2023, vol.35, no.7 Pt.1
Detection of Neural Fatigue State by Speech Analysis Using Chaos Theory
Jun Shintani; Yasuhiro Ogoshi
2023
2023, vol.35, no.7 Pt.1
Derivation of Tourism Activity Ability and Study of Travel Promotion Effects for Elderly People
Ayako Sawada; Takashi Oyabu
2023
2023, vol.35, no.7 Pt.1
How to Move Automatic Pallets to Improve the Time Efficiency of Exiting in Automated Valet Parking
Shinichi Funase; Haruhiko Kimura; Hidetaka Nambo
2023
2023, vol.35, no.7 Pt.1
A Variational AutoEncoder (VAE)-based Deep Learning Anomaly Detection Model for Industrial Products with Dynamic Weights Assigned to Loss Function
Shunta Nakata; Takehiro Kasahara; Hidetaka Nambo
2023
2023, vol.35, no.7 Pt.1
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