Zobrazeno 1 - 10
of 527
pro vyhledávání: '"position information"'
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 6, Pp 1556-1565 (2024)
In order to realize the few shot font generation, local component method usually ignores the role of component location information on text generation, resulting in the deviation of the overall structure layout of the generated text. In order to capt
Externí odkaz:
https://doaj.org/article/f93367403b53491dbed4c6db4e9f9a36
Autor:
WU Wenzheng, LU Xianling
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 3, Pp 768-779 (2024)
Aiming at the problem that the existing graph neural network session recommendation algorithm ignores all kinds of auxiliary information, which leads to the inability to accurately model the session sequence, a session recommendation algorithm combin
Externí odkaz:
https://doaj.org/article/809ed63a976c4c36b95827d97f3c2de3
Publikováno v:
Photonics, Vol 11, Iss 11, p 1026 (2024)
In this paper, a novel adjustment algorithm of the position-predicted period (PP) in an indoor visible light communication (VLC) network is proposed. The algorithm is adaptive to the movement speed. It contains two key parts: speed-adaptive position
Externí odkaz:
https://doaj.org/article/51e760eaa3ff405b8fcf78fb03e0de40
Autor:
Xiaofeng Zhou, Peng Zhang
Publikováno v:
Sensors, Vol 24, Iss 11, p 3502 (2024)
Effective lane detection technology plays an important role in the current autonomous driving system. Although deep learning models, with their intricate network designs, have proven highly capable of detecting lanes, there persist key areas requirin
Externí odkaz:
https://doaj.org/article/dfb0415ebf7848b483beb3d267c1da20
Publikováno v:
IEEE Access, Vol 11, Pp 120628-120641 (2023)
High-resolution networks have demonstrated significant advantages in multi-scale feature extraction for human pose estimation task. However, this often leads to the problems of large network parameter quantity and high computational complexity. On th
Externí odkaz:
https://doaj.org/article/064a2a4147854c63953cd8b0c9fd2978
Publikováno v:
IEEE Access, Vol 11, Pp 54408-54427 (2023)
Sentiment analysis is an active research domain of the current era, thanks to its vast applications. The main objective is to classify the polarity of the given text as negative, positive, or neutral. Thus, researchers’ focus shifted towards the as
Externí odkaz:
https://doaj.org/article/fef4cb2f57e44d08884b8d1553cfc5e4
Publikováno v:
Jisuanji kexue, Vol 49, Iss 12, Pp 305-311 (2022)
Causal relation extraction is a natural language processing technology to extract causal entity pairs from text,which is widely used in financial,medical and other fields.Traditional causal relationship extraction technology needs to manually select
Externí odkaz:
https://doaj.org/article/e6c4e93e46364951af9e12a1737b7ab4
Publikováno v:
Jisuanji kexue, Vol 49, Iss 9, Pp 55-63 (2022)
Most of the existing session based recommendation systems recommend based on the correlation between the last clicked item and the user preference of the current session,and ignore that there may be item transitions related to the current session in
Externí odkaz:
https://doaj.org/article/b810da40d9454969901b6a51d9186045
Publikováno v:
网络与信息安全学报, Vol 8, Pp 168-174 (2022)
With the rapid development of the Internet, social media is increasingly integrated into all aspects of people’s daily life.Social media has gradually become a tool and even a platform for people to share opinions, insights, experiences and viewpoi
Externí odkaz:
https://doaj.org/article/61b853d860db4885bb4ea533ea049794
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