Zobrazeno 1 - 10
of 159
pro vyhledávání: '"Huawen LIU"'
Autor:
Tewodros Alemu Ayall, Changjun Zhou, Huawen Liu, Getnet Mezgebu Brhanemeskel, Solomon Teferra Abate, Michael Adjeisah
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-23 (2024)
Abstract Spoken digits recognition (SDR) is a type of supervised automatic speech recognition, which is required in various human–machine interaction applications. It is utilized in phone-based services like dialing systems, certain bank operations
Externí odkaz:
https://doaj.org/article/a7405594b3464674a043d43ad0e42209
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 9, Pp 255-264 (2024)
An analysis method for simultaneous determination of 47 kinds of pesticide residues in tea was established by QuEChERS method combined with ultra performance liquid chromatography-tandem mass spectrometry. The samples were extracted by acetonitrile c
Externí odkaz:
https://doaj.org/article/0a983a2be4f8469b92732e75e518ab0b
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract The exponential growth of data raises an unprecedented challenge in data analysis: how to retrieve interesting information from such large-scale data. Hash learning is a promising solution to address this challenge, because it may bring many
Externí odkaz:
https://doaj.org/article/a05b0ee7599a4354a6eb2aaf7574e2e2
Autor:
Min Zeng, Xiaoyun Zhang, LiLi He, Xin Liu, Huawen Liu, Rui Deng, Bo Qiu, Fang Liu, Hang Xiao, Quanlv Li, Wen Li, Chongmei Liu, Yangqing Ge
Publikováno v:
Virology Journal, Vol 20, Iss 1, Pp 1-10 (2023)
Abstract Purpose To investigate the distribution of the incidence and genotypes of human papillomavirus (HPV) among women with cervical cancer (CC) and precancerous cervical lesions in Yueyang City, China, to develop prevention and control strategies
Externí odkaz:
https://doaj.org/article/ed3275daf663416280e81776a6d4c607
Autor:
Gedamu Alemu Kumie, Maregu Assefa Habtie, Tewodros Alemu Ayall, Changjun Zhou, Huawen Liu, Abegaz Mohammed Seid, Aiman Erbad
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 305-321 (2023)
Abstract View-invariant action recognition has been widely researched in various applications, such as visual surveillance and human–robot interaction. However, view-invariant human action recognition is challenging due to the action occlusions and
Externí odkaz:
https://doaj.org/article/446981c9f3a84de484b3200c83809d43
Autor:
Wang Wu, Wei Zhou, Jingwei Jiang, Mengyue Wang, Jinwei Zhang, Jing Yang, Qu Tang, Huawen Liu, Deming Liu, Wei Xu, Julia Li Zhong, Li Yang, Mingxing Lei
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 32, Iss , Pp 94-110 (2023)
Aged cells have declined regenerative ability when subjected to environmental insult. Here we elucidate the mechanism by which mechanical stimulus induces hair regeneration at the microenvironmental regulation level using the hair plucking and organo
Externí odkaz:
https://doaj.org/article/6e88b1c35e5045bc89e92d01f3397497
Autor:
Zhen Cui, Wenxin Luo, Ruihong Chen, Yalun Li, Zhoufeng Wang, Yong Liu, Shuo Liu, LeiLei Feng, Zijing Jia, Ruixin Cheng, Jun Tang, Weijin Huang, Yanjun Zhang, Huawen Liu, Xiangxi Wang, Weimin Li
Publikováno v:
Signal Transduction and Targeted Therapy, Vol 8, Iss 1, Pp 1-10 (2023)
Abstract The emergence of adapted variants of the SARS-CoV-2 virus has led to a surge in breakthrough infections worldwide. A recent analysis of immune responses in people who received inactivated vaccines has revealed that individuals with no prior
Externí odkaz:
https://doaj.org/article/e132e89f2bd64468878c896dcaaf6c5f
Autor:
Huawen Liu, Yujia Jia
Publikováno v:
Comparative Literature: East & West, Vol 7, Iss 1, Pp 28-32 (2023)
Externí odkaz:
https://doaj.org/article/dfdc5bf6cf554a3bb7a17c12c0a7ca7b
Autor:
Tewodros Alemu Ayall, Huawen Liu, Changjun Zhou, Abegaz Mohammed Seid, Fantahun Bogale Gereme, Hayla Nahom Abishu, Yasin Habtamu Yacob
Publikováno v:
IEEE Access, Vol 10, Pp 118523-118550 (2022)
Graphs are a tremendously suitable data representations that model the relationships of entities in many application domains, such as recommendation systems, machine learning, computational biology, social network analysis, and other application doma
Externí odkaz:
https://doaj.org/article/577ddb89a5ca4f2b9d674fdeb16da0e9
Publikováno v:
大数据, Vol 7, Pp 67-77 (2021)
Locality sensitive hashing is one of the most popular information retrieval methods, which needs to generate long hashing bits to meet the retrieval requirement.However, a long hashing bits requires huge storage space, and contains plenty of redundan
Externí odkaz:
https://doaj.org/article/cc58224247694027aae58bb2a733ff00