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Titlebook: International Macroeconomics; Theory, Policy And A Graham Bird Book 1987 Palgrave Macmillan, a division of Macmillan Publishers Limited 198

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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
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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
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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
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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.
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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.
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