نتایج جستجو برای: poisson hidden markov
تعداد نتایج: 150845 فیلتر نتایج به سال:
حدود%6/0-%8/0 جمعیت جهان مبتلا به صرع هستند. رخداد ناگهانی حمله های صرعی در این بیماران سبب می شود که آنها زندگی مطلوبی نداشته باشند. به همین دلیل مدت هاست که محققان درصدد بررسی امکان پیشگویی وقوع حمله های صرعی هستند؛ چرا که اگر بتوان حمله های صرعی را با اطمینان پیشگویی کرد، علاوه بر این که بیمار در بقیه موارد می تواند با آرامش به زندگی خود بپردازد، امکان اقدامات درمانی جدیدی نیز فراهم می شود. ...
We treat an image restoration problem with a Poisson noise channel using a Bayesian framework. The Poisson randomness might be appeared in observation of low contrast object in the field of imaging. The noise observation is often hard to treat in a theoretical analysis. In our formulation, we interpret the observation through the Poisson noise channel as a likelihood, and evaluate the bound of ...
Background and Aim: Health surveillance systems are now paying more attention to infectious diseases, largely because of emerging and re-emerging infections. The main objective of this research is presenting a statistical method for modeling infectious disease incidence based on the Bayesian approach.Material and Methods: Since infectious diseases have two phases, namely epidemic and non-epidem...
Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...
Markov Simulation and the more recent Poisson Simulation are two fully consistent ways of modelling, applicable to the same types of problems. A Markov model is based on a detailed description of every situation, called state, that a system can be in and every possible transition between these states. This approach allows powerful analysis and makes Markov models a fundamental part of the theor...
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