Zobrazeno 1 - 10
of 1 786
pro vyhledávání: '"Xu Yanyan"'
Publikováno v:
Open Life Sciences, Vol 18, Iss 1, Pp 102-9 (2023)
In the present study, the effect of exopolysaccharides (EPSs) extracted from Pseudomonas tolaasii on the growth of Pleurotus ostreatus mycelia was determined. P. ostreatus mycelia was cultivated with different concentrations of P. tolaasii EPSs, and
Externí odkaz:
https://doaj.org/article/70bd90f0781a49a1bc51180457a7e125
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp 167-76 (2023)
Named entity recognition (NER) is the localization and classification of entities with specific meanings in text data, usually used for applications such as relation extraction, question answering, etc. Chinese is a language with Chinese characters a
Externí odkaz:
https://doaj.org/article/8b137587371f4afda8b2ee0cec617fad
Autor:
Zhou, Chen, Cheng, Peng, Fang, Junfeng, Zhang, Yifan, Yan, Yibo, Jia, Xiaojun, Xu, Yanyan, Wang, Kun, Cao, Xiaochun
Multispectral object detection, utilizing RGB and TIR (thermal infrared) modalities, is widely recognized as a challenging task. It requires not only the effective extraction of features from both modalities and robust fusion strategies, but also the
Externí odkaz:
http://arxiv.org/abs/2411.18288
Organic synthesis stands as a cornerstone of chemical industry. The development of robust machine learning models to support tasks associated with organic reactions is of significant interest. However, current methods rely on hand-crafted features or
Externí odkaz:
http://arxiv.org/abs/2411.17629
Publikováno v:
生物医学转化, Vol 2, Iss 2, Pp 46-49 (2021)
Platelets are essential blood cells for maintaining hemostasis. Thrombocytopenia and thrombocy‐themia are common platelet-related blood diseases with serious symptom, such as bleeding and thrombosis.Thrombocytopenic arrest and the abnormal clearanc
Externí odkaz:
https://doaj.org/article/f3abbfdfce0c433b90c2f8e59f145e15
Autor:
Zhang, Yu, Yu, Ruijie, Zeng, Kaipeng, Li, Ding, Zhu, Feng, Yang, Xiaokang, Jin, Yaohui, Xu, Yanyan
High-throughput reaction condition (RC) screening is fundamental to chemical synthesis. However, current RC screening suffers from laborious and costly trial-and-error workflows. Traditional computer-aided synthesis planning (CASP) tools fail to find
Externí odkaz:
http://arxiv.org/abs/2407.15141
The next Point of Interest (POI) recommendation aims to recommend the next POI for users at a specific time. As users' check-in records can be viewed as a long sequence, methods based on Recurrent Neural Networks (RNNs) have recently shown good appli
Externí odkaz:
http://arxiv.org/abs/2404.00367
Autor:
Zeng, Kaipeng, yang, Bo, Zhao, Xin, Zhang, Yu, Nie, Fan, Yang, Xiaokang, Jin, Yaohui, Xu, Yanyan
Motivation: Retrosynthesis planning poses a formidable challenge in the organic chemical industry. Single-step retrosynthesis prediction, a crucial step in the planning process, has witnessed a surge in interest in recent years due to advancements in
Externí odkaz:
http://arxiv.org/abs/2404.00044
Publikováno v:
Journal of Intelligent Systems, Vol 26, Iss 2, Pp 263-285 (2017)
The writing part in Chinese language tests is badly in need of a mature automated essay scoring system. In this paper, we propose a new approach applied to automated Chinese essay scoring (ACES), called contextualized latent semantic indexing (CLSI),
Externí odkaz:
https://doaj.org/article/1c666789862f4c77a772dd942a32b017
Facility location problems on graphs are ubiquitous in real world and hold significant importance, yet their resolution is often impeded by NP-hardness. Recently, machine learning methods have been proposed to tackle such classical problems, but they
Externí odkaz:
http://arxiv.org/abs/2312.15658