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2020 – today
- 2023
[c6]Ryuto Ishibashi, Naoto Nojiri, Hayata Kaneko, Kenshi Saho, Lin Meng:
Optimized Vision Transformer for Dementia Diagnosis Using Micro-Doppler Radar. SMC 2023: 4301-4306- 2022
- [j3]Zhichen Wang, Zelin Meng, Kenshi Saho, Kazuki Uemura, Naoto Nojiri, Lin Meng:
Deep learning-based elderly gender classification using Doppler radar. Pers. Ubiquitous Comput. 26(4): 1067-1079 (2022) - [j2]Zhichen Wang, Zelin Meng, Kenshi Saho, Kazuki Uemura, Naoto Nojiri, Lin Meng:
Correction to: Deep learning-based elderly gender classification using Doppler radar. Pers. Ubiquitous Comput. 26(4): 1081 (2022) - [c5]Ryoto Ishibashi, Naoto Nojiri, Kenshi Saho, Lin Meng:
Dementia Diagnose Based on Machine Learning Using Doppler Radar Image for the Elderly Person. ATAIT 2022: 17-24
2010 – 2019
- 2019
- [j1]Naoto Nojiri, Seben Masaki, Lin Meng
, Hiromitsu Shimakawa, Katsuhiro Yamazaki:
Front vehicle detection based on parallel Blob detection using quad-pipeline on FPGA. Int. J. Model. Identif. Control. 33(1): 20-27 (2019) - 2018
- [c4]Naoto Nojiri, Xiangbo Kong, Lin Meng, Hiromitsu Shimakawa:
Discussion on Machine Learning and Deep Learning based Makeup Considered Eye Status Recognition for Driver Drowsiness. IIKI 2018: 264-270 - [c3]Xiangbo Kong, Zelin Meng, Naoto Nojiri, Yuji Iwahori, Lin Meng, Hiroyuki Tomiyama:
A HOG-SVM Based Fall Detection IoT System for Elderly Persons Using Deep Sensor. IIKI 2018: 276-282 - 2015
- [c2]Naoto Nojiri, Lin Meng, Katsuhiro Yamazaki:
FPGA-based BLOB Detection Using Dual-pipelining (Abstract Only). FPGA 2015: 267 - 2014
- [c1]Lin Meng, Keisuke Matsuyama, Naoto Nojiri, Tomonori Izumi, Katsuhiro Yamazaki:
Pipelining FPPGA-based defect detction in FPDs (abstract only). FPGA 2014: 254
Coauthor Index
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