首页
学术期刊
论文检测
AIGC检测
热点
更多
数据
A study on efficiency comparison between two sign language learning materials: Illustrated images and synthesized images using video
被引:0
|
作者
:
Tsutsuguchi, Ken
论文数:
0
引用数:
0
h-index:
0
机构:
NTT Media Intelligence Laboratories, Japan
NTT Media Intelligence Laboratories, Japan
Tsutsuguchi, Ken
[
1
]
Yonemura, Shunichi
论文数:
0
引用数:
0
h-index:
0
机构:
Shibaura Institute of Technology, Japan
NTT Media Intelligence Laboratories, Japan
Yonemura, Shunichi
[
2
]
Kamata, Kazuo
论文数:
0
引用数:
0
h-index:
0
机构:
HumanCommunication, Japan
NTT Media Intelligence Laboratories, Japan
Kamata, Kazuo
[
3
]
机构
:
[1]
NTT Media Intelligence Laboratories, Japan
[2]
Shibaura Institute of Technology, Japan
[3]
HumanCommunication, Japan
来源
:
Journal of the Institute of Image Electronics Engineers of Japan
|
2015年
/ 44卷
/ 02期
关键词
:
5;
D O I
:
暂无
中图分类号
:
学科分类号
:
摘要
:
引用
收藏
页码:328 / 335
相关论文
共 32 条
[31]
A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks
Yasar, Huseyin
论文数:
0
引用数:
0
h-index:
0
机构:
Minist Hlth Republ Turkey, Ankara, Turkey
Minist Hlth Republ Turkey, Ankara, Turkey
Yasar, Huseyin
Ceylan, Murat
论文数:
0
引用数:
0
h-index:
0
机构:
Konya Tech Univ, Fac Engn & Nat Sci, Dept Elect & Elect Engn, Konya, Turkey
Minist Hlth Republ Turkey, Ankara, Turkey
Ceylan, Murat
MULTIMEDIA SYSTEMS,
2023,
29
(06)
: 3931
-
3949
[32]
A novel study for automatic two-class COVID-19 diagnosis (between COVID-19 and Healthy, Pneumonia) on X-ray images using texture analysis and 2-D/3-D convolutional neural networks
Huseyin Yaşar
论文数:
0
引用数:
0
h-index:
0
机构:
Ministry of Health of Republic of Turkey,Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences
Huseyin Yaşar
Murat Ceylan
论文数:
0
引用数:
0
h-index:
0
机构:
Ministry of Health of Republic of Turkey,Department of Electrical and Electronics Engineering, Faculty of Engineering and Natural Sciences
Murat Ceylan
Multimedia Systems,
2023,
29
: 3931
-
3949
←
1
2
3
4
→