Zobrazeno 1 - 10
of 315
pro vyhledávání: '"Kejun, Zhang"'
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2024, Iss 1, Pp 1-5 (2024)
Abstract Nowadays, the application of artificial intelligence (AI) algorithms and techniques is ubiquitous and transversal. Fields that take advantage of AI advances include sound and music processing. The advances in interdisciplinary research poten
Externí odkaz:
https://doaj.org/article/b658c22d20084d188b167a463864cad6
Publikováno v:
EURASIP Journal on Audio, Speech, and Music Processing, Vol 2023, Iss 1, Pp 1-13 (2023)
Abstract Appropriate background music in e-commerce advertisements can help stimulate consumption and build product image. However, many factors like emotion and product category should be taken into account, which makes manually selecting music time
Externí odkaz:
https://doaj.org/article/1c24a2d032b545cba474d1f2df81f76e
Publikováno v:
Alexandria Engineering Journal, Vol 81, Iss , Pp 337-346 (2023)
Multi-layer satellite network (MLSN) is an important part of the Space-Air-Ground Integrated Network (SAGIN), it has obvious advantages in coverage density, business processing, service efficiency and other comprehensive capabilities compared with or
Externí odkaz:
https://doaj.org/article/6bc620fb731b4cc1bb9fd3a3a02f5175
Autor:
Kejun Zhang, Shaofei Xu, Yutuo Song, Yuwei Xu, Pengcheng Li, Xiang Yang, Bing Zou, Wenbin Wang
Publikováno v:
Symmetry, Vol 16, Iss 8, p 1084 (2024)
Preserving the privacy of the ever-increasing multimedia data on the cloud while providing accurate and fast retrieval services has become a hot topic in information security. However, existing relevant schemes still have significant room for improve
Externí odkaz:
https://doaj.org/article/7163bcc8d1334541a4c04dd39dde265f
Autor:
Guosheng Chen, Huimin Chong, Peng Zhang, Dalin Wen, Juan Du, Chu Gao, Shi Zeng, Ling Zeng, Jin Deng, Kejun Zhang, Anqiang Zhang
Publikováno v:
Immunity, Inflammation and Disease, Vol 12, Iss 1, Pp n/a-n/a (2024)
Abstract Background Sepsis is a life‐threatening organ dysfunction caused by a dysregulated host response to infection and progressive immunosuppression with high mortality. HLA‐DR, CD64, and PD‐1 were assumed to be useful biomarkers for sepsis
Externí odkaz:
https://doaj.org/article/de6c61d6a3ab42acbc56705c577f3718
Autor:
Shuang Liu, Kejun Zhang, Yun Yu, Xinglong Lian, Lanyuwen Jiang, Fanqi Meng, Yuanyuan Wang, Xiaofeng Zhu, Yuxi Duan
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 11 (2024)
Introduction: The nematode species Meloidogyne incognita has been responsible for significant financial losses within the agricultural sector. Nematophagous bacteria, characterised by their extensive distribution and broad spectrum of hosts, exhibit
Externí odkaz:
https://doaj.org/article/79b08f06c2bb4e0c9d95bb5612e359d4
Autor:
Naifu Nie, Haodong Zhou, Kejun Zhang, Lan liu, Nuo Luo, Renyuan Wang, Xin Li, Mengxiao Zhu, Chen Hu, Yubo Wang, Zhulin Liu, Li Li, Yong He
Publikováno v:
Thoracic Cancer, Vol 13, Iss 18, Pp 2574-2583 (2022)
Abstract Background The prognosis of non–small‐cell lung cancer (NSCLC) with leptomeningeal metastasis (LM) is poor. Detection of cell‐free DNA (cfDNA) by next generation sequencing (NGS) in cerebrospinal fluid (CSF) may facilitate diagnosis of
Externí odkaz:
https://doaj.org/article/9f38c3c1e4904f3c97d0cc4f42ee0580
Publikováno v:
Cognitive Computation and Systems, Vol 4, Iss 2, Pp 177-187 (2022)
Abstract Music–visual retrieval is of broad interest in the field of Music Information Retrieval (MIR). Most research relies on emotional tags or is based on content but does not consider stylistic and cultural differences between music and videos.
Externí odkaz:
https://doaj.org/article/f28890b3c6e043b6b990321d1011ccc6
Publikováno v:
Cognitive Computation and Systems, Vol 4, Iss 2, Pp 165-176 (2022)
Abstract This study focusses on the impact of the background music on consumers' shopping experience during the festival seasons. The authors derived a new research model based on the environmental psychology model in the literature and then designed
Externí odkaz:
https://doaj.org/article/786f9c3487a44b39860b5fc44e0922a3
Publikováno v:
Tongxin xuebao, Vol 43, Pp 214-225 (2022)
In order to solve the problem that incomplete mining of structural information and semantic information in heterogeneous networks, a link prediction method combining meta-path-based analysis and hidden Markov model was proposed for link prediction of
Externí odkaz:
https://doaj.org/article/729a3f34d4074232ba5a192f1ef02cf0