Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Sutat Sae-Tang"'
Autor:
Sutat Sae-Tang
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::201e6e8c9aa536f43aec050bc03d0964
https://doi.org/10.2139/ssrn.4237043
https://doi.org/10.2139/ssrn.4237043
Autor:
Sutat Sae-Tang
Publikováno v:
2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Oil palm is one of the potential tree crops in Thailand. However, the production of oil palm has been experienced many aspects. Price factor is also one of the problems. Price of oil palm depends on the amount of oil content in the oil palm fruit whi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::287af3c69b53616c64e06dba573b082c
https://doi.org/10.1109/isai-nlp51646.2020.9376834
https://doi.org/10.1109/isai-nlp51646.2020.9376834
Publikováno v:
2018 International Conference on Engineering, Applied Sciences, and Technology (ICEAST).
Biometric identification systems must be able to distinguish between individuals in various conditions. This paper presents a review paper on face matchers between commercial and open source SDK and techniques available for face recognition. This pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d88f8d5541a666b4e7f50addf19479bc
https://doi.org/10.1109/iceast.2018.8434495
https://doi.org/10.1109/iceast.2018.8434495
Autor:
Sutat Sae-Tang, L. Methasate
Publikováno v:
IEEE International Symposium on Communications and Information Technology, 2004. ISCIT 2004..
The paper describes a Thai handwritten character corpus, developed in Thailand by the National Electronics and Computer Technology Center (NECTEC). The corpus consists of online and offline handwritten characters, including isolated, touching, and cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0e8ca6f360c86c172e2bfc38ce4c0e8
https://doi.org/10.1109/iscit.2004.1412893
https://doi.org/10.1109/iscit.2004.1412893
Publikováno v:
IJCNN
Presents a neural network based text-dependent speaker identification system for Thai language. Linear prediction coefficients (LPC) are extracted from speech signal and formed feature vectors. These features are fed into a multilayer perceptron (MLP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dadeb55510e92ea0e38daf3c192c584
https://doi.org/10.1109/ijcnn.1999.835988
https://doi.org/10.1109/ijcnn.1999.835988
Autor:
Chularat Tanprasert, Sutat Sae-Tang
Publikováno v:
ISCAS
This paper presents the development of Thai text dependent speaker identification system by applying two feature-feeding approaches. A well-known multilayer perceptron (MLP) network with backpropagation learning algorithm is chosen. It has fast proce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36a13bf298150e27348b2ef0d18c40ab
https://doi.org/10.1109/iscas.2000.856126
https://doi.org/10.1109/iscas.2000.856126
Conference
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Autor:
Sutat Sae-Tang, Methasate, L.
Publikováno v:
IEEE International Symposium on Communications & Information Technology, 2004. ISCIT 2004; 2004, p486-486, 1p
Autor:
Sutat Sae-Tang, Tanprasert, C.
Publikováno v:
Proceedings of the 2000 IEEE International Symposium on Circuits & Systems. Emerging Technologies for the 21st Century (IEEE Cat No.00CH36353); 2000, p579-579, 1p
Publikováno v:
IJCNN'99 International Joint Conference on Neural Networks Proceedings (Cat No99CH36339); 1999, Issue 5, p2950-2950, 1p