Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Binxuan Sun"'
Publikováno v:
2022 IEEE International Conference on Robotics and Biomimetics (ROBIO).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5ae9d2d155343d72caa86af392b61bc
https://doi.org/10.1109/robio55434.2022.10011920
https://doi.org/10.1109/robio55434.2022.10011920
Autor:
Wu Gong, Takuro Kawasaki, Ruixiao Zheng, Tsuyoshi Mayama, Binxuan Sun, Kazuya Aizawa, Stefanus Harjo, Nobuhiro Tsuji
Publikováno v:
Scripta Materialia. 225:115161
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6990afd199976c91ccf43e7c6c7390f1
https://doi.org/10.1016/j.scriptamat.2022.115161
https://doi.org/10.1016/j.scriptamat.2022.115161
Autor:
Feng Yang, Haihua Huang, Yanzheng Chen, Weiming Li, Quanbin Lai, Rui Ma, Binxuan Sun, Xingguang Duan
Publikováno v:
Intelligent Robotics and Applications ISBN: 9783031138348
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::561b00e49d8a1ab6ae248ba7bbeba947
https://doi.org/10.1007/978-3-031-13835-5_54
https://doi.org/10.1007/978-3-031-13835-5_54
Publikováno v:
Intelligent Robotics and Applications ISBN: 9783031138430
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::769159de4a2618b3a50cd3c76a15b0ed
https://doi.org/10.1007/978-3-031-13844-7_54
https://doi.org/10.1007/978-3-031-13844-7_54
The objective of the present paper is to develop a population balance approach for modelling soot formation that distinguishes between coalescence and aggregation and accounts for finite-rate fusing of primary particles within aggregates, while provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f853eaab380b29808cabbe9172b4ef0
http://hdl.handle.net/10044/1/88028
http://hdl.handle.net/10044/1/88028
Publikováno v:
2010 International Symposium on Intelligence Information Processing and Trusted Computing.
On the basis of controlled nuclear fusion equipment HT-7 superconductive tokamak’s detection data, this paper reports on an approach of nuclear fusion magneto hydrodynamics(MHD) pattern recognition by using artificial neural network and back-propag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebb9f22ae5d2ebb32cf23ed332f8ce64
https://doi.org/10.1109/iptc.2010.167
https://doi.org/10.1109/iptc.2010.167
Publikováno v:
2010 International Symposium on Computational Intelligence and Design.
Controlled nuclear fusion is an important direction to solve the shortage of energy resources in the future. The commercial nuclear fusion core needs higher temperature, bigger density, stronger constraint efficiency plasma. The plasma’s electric c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::211c75832929cd98626a9579eeb65b4a
https://doi.org/10.1109/iscid.2010.60
https://doi.org/10.1109/iscid.2010.60
Publikováno v:
2010 5th International Conference on Computer Science & Education.
Skin color information plays an important role in face detection and recognition. By a large number of skin pixels statistics, the model of face skin color information is constructed in YUV and YCbCr color spaces. The Mahalanobis distance map of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edc96efedb0f324dfffb7e011df10e14
https://doi.org/10.1109/iccse.2010.5593408
https://doi.org/10.1109/iccse.2010.5593408
Publikováno v:
ICNC
A new face recognition method based on Mahalanobis distance and Support Vector Machine (SVM) using skin color information is proposed. According to face skin color distribution in YCbCr color space,The Mahalanobis distance map of the image is obtaine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20bd79fcf52ec43fb3de1e8e239e206a
https://doi.org/10.1109/icnc.2010.5583604
https://doi.org/10.1109/icnc.2010.5583604
Publikováno v:
FSKD
AdaBoost is a well-known ensemble learning algorithm that generates weak classifiers sequentially and then combines them into a strong one. Also it shows its resistance to overfitting in low noise data cases , a lot of experiments[2,3,4] have shown t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb3b0eb01bf1528dcf405c30eec67539
https://doi.org/10.1109/fskd.2010.5569438
https://doi.org/10.1109/fskd.2010.5569438