Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Jing-YiChen"'
Information popularity prediction is important yet challenging in various domains, including viral marketing and news recommendations. The key to accurately predicting information popularity lies in subtly modeling the underlying temporal information
Externí odkaz:
http://arxiv.org/abs/2409.16623
The rapid spread of diverse information on online social platforms has prompted both academia and industry to realize the importance of predicting content popularity, which could benefit a wide range of applications, such as recommendation systems an
Externí odkaz:
http://arxiv.org/abs/2409.16619
Publikováno v:
In Polymer Degradation and Stability November 2024 229
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Jing-YiChen, 陳靖儀
104
This study focuses on the flexible job shop scheduling problem of multiple product development projects with reentrant process. We construct two mathematical models, nonlinear programming (INLP) and integer linear programming (ILP), to deal
This study focuses on the flexible job shop scheduling problem of multiple product development projects with reentrant process. We construct two mathematical models, nonlinear programming (INLP) and integer linear programming (ILP), to deal
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/01827746027074515344
Publikováno v:
Polymer Chemistry; 10/7/2024, Vol. 15 Issue 37, p3779-3786, 8p