伪证
发表于 2025-3-25 03:55:58
pplication of extended DEM to other granular flows of complex particles like sand, powders, and dust from mines where clumping and agglomeration occur. The application of DEM in modeling and simulation of complex multiphase systems can help improve productivity, reduce costs, and increase efficiency
障碍
发表于 2025-3-25 08:31:47
http://reply.papertrans.cn/48/4718/471766/471766_22.png
Clumsy
发表于 2025-3-25 13:01:36
http://reply.papertrans.cn/48/4718/471766/471766_23.png
方便
发表于 2025-3-25 16:34:34
http://reply.papertrans.cn/48/4718/471766/471766_24.png
guzzle
发表于 2025-3-25 23:52:06
Graham Birdions for time-sharing, system architecture, and so on. Numerical examples are calculated using MATLAB software, and graphical analysis is provided for better comprehension. According to this article, this method has a finite population of parallel servers. Future study of the proposed model is inclu
抵制
发表于 2025-3-26 01:30:56
ence analysis alone. In the present chapter, the utilization of several multilocus genes for the successful identification of phytoplasma strains within 16S ribosomal subgroups is discussed. These housekeeping genes have more phylogenetically informative characters than the 16S rRNA genes, thus incr
Popcorn
发表于 2025-3-26 04:52:22
Graham Birdeural network, and convolutional neural network. The methods for assessing the machine learning models and their performances for agricultural crop disease detection were also covered. At the end, the major challenges in developing machine learning models for plant disease detection are presented.
EWE
发表于 2025-3-26 11:35:03
http://reply.papertrans.cn/48/4718/471766/471766_28.png
Fraudulent
发表于 2025-3-26 14:14:31
retty low compared to results reported for English news. While fine-tuning shows promising results for performance gain, and should be explored further in future research, our results underscore the weakness of LLMs in low-resource languages such as Farsi, even when fine-tuned.
倔强一点
发表于 2025-3-26 19:28:53
http://reply.papertrans.cn/48/4718/471766/471766_30.png