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pro vyhledávání: '"Jia-jin Huang"'
Publikováno v:
Tongxin xuebao, Vol 38, Pp 109-120 (2017)
In order to achieve more accurate emotion recognition accuracy from multi-modal bio-signal features，a novel method to extract and fuse the signal with the stacked auto-encoder and LSTM recurrent neural networks was proposed.The stacked auto-encoder
Externí odkaz:
https://doaj.org/article/155f21c0e08f407bbd4b25b4be1cd84f
Autor:
Jia-jin Huang, 黃佳進
95
Granule Chlorella is a commercial product that exhibits several biofunctions. In this study, we investigated the radical-scavenging effect of water extracts from the granule Chlorella products (GPW). Then, we studied the effects of GPW on the
Granule Chlorella is a commercial product that exhibits several biofunctions. In this study, we investigated the radical-scavenging effect of water extracts from the granule Chlorella products (GPW). Then, we studied the effects of GPW on the
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/05809910701737628294
Autor:
Jia-jin Huang
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9781447123859
Recommender systems aim to recommender right products to right customers. Considering the similarity between recommender systems and information retrieval, researchers have extended results of information retrieval to recommender systems. These motiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::510e9b317259f176ffc471a7b944da21
https://doi.org/10.1007/978-1-4471-2386-6_140
https://doi.org/10.1007/978-1-4471-2386-6_140