Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Jianmei Guo"'
Publikováno v:
Advanced NanoBiomed Research, Vol 3, Iss 7, Pp n/a-n/a (2023)
Cancer vaccines stimulate the immune system within the body by introducing tumor antigens in various forms, such as tumor cells, tumor‐related proteins or peptides, and genes expressing tumor antigens, into the body. This activation of the immune r
Externí odkaz:
https://doaj.org/article/57b1a771621c47bdaa7d6708f17ab695
Publikováno v:
ACM Transactions on Architecture & Code Optimization; Mar2024, Vol. 21 Issue 1, p1-26, 26p
Publikováno v:
In Procedia CIRP 2018 68:565-568
Publikováno v:
Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction.
Publikováno v:
Nanoscale.
To improve the penetration of drugs at the tumor site, light-triggered charge reversal nanoparticles with core-shell structure was developed, which greatly improves the therapeutic efficacy of chemotherapeutic agents.
Autor:
Heng Li, Sarah Sajedi, Yi Zeng, Jianmei Guo, Catalin Sporea, Jinfu Chen, Andrei Toma, Weiyi Shang, Lizhi Liao
Publikováno v:
Empirical Software Engineering. 25:4130-4160
Performance regressions of large-scale software systems often lead to both financial and reputational losses. In order to detect performance regressions, performance tests are typically conducted in an in-house (non-production) environment using test
Publikováno v:
DAC
Real-world e-commerce systems need large cache capacities. Persistent memory (PM) can be employed to enlarge JVMs’ cache capacities, meanwhile they incur heavy write slowdowns and garbage collection overheads. This paper proposes JPDheap, a JVM hea
Publikováno v:
Journal of Physics: Conference Series. 2365:012008
It is significant to improve the machining accuracy of film cooling holes on aero-engine turbine blades. This paper presents a method to correct the position of film cooling holes on turbine blades. In this method, the pre-positioning algorithm and t
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 29:1347-1378
An effective method for addressing the configuration optimization problem (COP) in Software Product Lines (SPLs) is to deploy a multi-objective evolutionary algorithm, for example, the state-of-the-art SATIBEA. In this paper, an improved hybrid algor
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 29:489-513
Multi-objective evolutionary algorithm (MOEA) has been widely applied to software product lines (SPLs) for addressing the configuration optimization problems. For example, the state-of-the-art SMTIBEA algorithm extends the constraint expressiveness a