نتایج جستجو برای: by using prediction tools
تعداد نتایج: 8759617 فیلتر نتایج به سال:
Nowadays, none of the industries are willing to have accidents in their workplaces and use different tools in this regard. One of these tools, which is capable of identifying risks and inappropriate situations, is risk analysis. Due to the importance of job risk prediction and reduction of occupational injury in this study, job risk prediction using different neural network algorithms has been ...
Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) model for automatic content-based text classification is described. Our main idea is that words and especially word combinations are more relevant features for many text classification tasks. Key-words for a document in mo...
It has been demonstrated with recent software implementations of context modeling the capability of PPM (Prediction by Partial Matching) [1] type of algorithms to achieve very high compression rates. However, the cost is high in terms of computational complexity and low speed. Hardware implementations of compression algorithms are capable of increasing compression speed by at least an order of ...
The main aim of this thesis is to build adaptive language models of Arabic text that can achieve the best compression performance over existing models. Prediction by partial matching (PPM) language models has been the best performing over the other adaptive language models through the past three decades in term of compression performance. In order to get such performance for Arabic text, the ri...
Our thorough analysis of the KEGG Genome collection (1) reveals the extent of the need for efficient and comprehensive methods for computational prediction of protein function. Seventy-five percent of the included genomes (149 of 201) contain over 50% gene entries that are ambiguously annotated. Even the most well characterized organisms (E. coli, C. elegans, A. thaliana, etc.) lack unambiguous...
there is no doubt that human being needs to become integrated with industry and industry needs to be progressed, daily. on the other hand, serious events in industrial units specially in oil industries has been shown that such damages and events are industry related ones. the consequence of such events and damages which resulted in chemical and poisoned explosions and loss of life and property ...
a semi-empirical mathematical model for predicting physical part of ignition delay period in the combustion of direct - injection diesel engines with swirl is developed . this model based on a single droplet evaporation model . the governing equations , namely , equations of droplet motion , heat and mass transfer were solved simultaneously using a rung-kutta step by step unmerical method . the...
The majority of currently available dynamic branch predictors base their prediction accuracy on the previous k branch outcomes. Such predictors sustain high prediction accuracy but they do not consider the impact of unbiased branches, which are difficult-to-predict. In this paper, we evaluate the impact of unbiased branches in terms of prediction accuracy on a range of branch difference predict...
As the number of completely sequenced genomes rapidly increases, including now the complete Human Genome sequence, the post-genomic problems of genome-scale protein structure determination and the issue of gene function identification become ever more pressing. In fact, these problems can be seen as interrelated in that experimentally determining or predicting or the structure of proteins encod...
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