Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yunzheng Zhu"'
Publikováno v:
PLoS ONE, Vol 18, Iss 6, p e0283284 (2023)
Fruit color is an important economic character of blueberry, determined by the amount of anthocyanin content. Anthocyanin synthesis within the blueberry fruits is significantly affected by light. To reveal the physiological response mechanism of anth
Externí odkaz:
https://doaj.org/article/8507fc2e37094754bc6d2e610fd5fbe7
Autor:
Xinyu Zhang, Shuangshuang Li, Xiaoli An, Zejun Song, Yunzheng Zhu, Yi Tan, Xiaolan Guo, Delu Wang
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0283137 (2023)
Through the application ratio of nitrogen (N), phosphorus (P) and potassium (K) in the field, L9 (33) orthogonal experimental design was used to study the effects of different N, P and K ratios on the yield and quality of blueberry fruit, aiming to o
Externí odkaz:
https://doaj.org/article/c78ef87804784206995faded81d8111a
Publikováno v:
Horticulturae, Vol 9, Iss 6, p 618 (2023)
Plant anthocyanin is a secondary metabolite widely distributed in the roots, stems, leaves, flowers and fruits of plants, and its synthesis is significantly affected by light intensity. To reveal the physiological response mechanism of anthocyanin sy
Externí odkaz:
https://doaj.org/article/b71ebffcec69483d96a640808703818d
Publikováno v:
In IFAC PapersOnLine 2018 51(31):676-679
Publikováno v:
Computational Mechanics.
We present a physics-informed deep learning model for the transient heat transfer analysis of three-dimensional functionally graded materials (FGMs) employing a Runge–Kutta discrete time scheme. Firstly, the governing equation, associated boundary
Recently, self-supervised learning (SSL) from unlabelled speech data has gained increased attention in the automatic speech recognition (ASR) community. Typical SSL methods include autoregressive predictive coding (APC), Wav2vec2.0, and hidden unit B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a481f77a9e1661a4128ff19207815035
Publikováno v:
Genes. 13(12)
Many
Children's automatic speech recognition (ASR) is always difficult due to, in part, the data scarcity problem, especially for kindergarten-aged kids. When data are scarce, the model might overfit to the training data, and hence good starting points fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9719183d5d97d83fc198cc63b1c64b46
Publikováno v:
Interspeech 2021.
This paper describes the SPAPL system for the INTERSPEECH 2021 Challenge: Shared Task on Automatic Speech Recognition for Non-Native Children's Speech in German. ~ 5 hours of transcribed data and ~ 60 hours of untranscribed data are provided to devel