نتایج جستجو برای: Hidden Markov Model
تعداد نتایج: 2168524 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. ...
gait contains important information about the status of the human body and physiological signs. in many medical applications, it isimportant to monitor and accurately analyze the gait of the patient. since walking shows the reproducibility signs in several phases,separating these phases can be used for the gait analysis. in this study, a method based on image processing for extracting phases of...
Background and Objectives: Tuberculosis is a chronic bacterial disease and a major cause of morbidity and mortality. It is caused by a Mycobacterium tuberculosis. Awareness of the incidence and number of new cases of the disease is valuable information for revising the implemented programs and development indicators. time series and regression are commonly used models for prediction but these m...
background: routinely collected data from tuberculosis surveillance system can be used to investigate and monitor the irregularities and abrupt changes of the disease incidence. we aimed at using a hidden markov model in order to detect the abnormal states of pulmonary tuberculosis in iran. methods: data for this study were the weekly number of newly diagnosed cases with sputum smear-positive p...
Intrusion detection systems are responsible for diagnosing and detecting any unauthorized use of the system, exploitation or destruction, which is able to prevent cyber-attacks using the network package analysis. one of the major challenges in the use of these tools is lack of educational patterns of attacks on the part of the engine analysis; engine failure that caused the complete training, ...
A profile hidden Markov model (PHMM) is widely used in assigning protein sequences to protein families. In this model, the hidden states only depend on the previous hidden state and observations are independent given hidden states. In other words, in the PHMM, only the information of the left side of a hidden state is considered. However, it makes sense that considering the information of the b...
Background: The liver is the largest internal organ and the most important organ after heart and brain in the human body without which life is impossible. Diagnosis of liver disease requires a long time and sufficient expertise of the doctor. Statistical methods can be classified as an automated forecasting system and help specialists for quickly and accurately diagnose liver disease. Hidden Ma...
a profile hidden markov model (phmm) is widely used in assigning protein sequences to protein families. in this model, the hidden states only depend on the previous hidden state and observations are independent given hidden states. in other words, in the phmm, only the information of the left side of a hidden state is considered. however, it makes sense that considering the information of the b...
Multi site modeling of rainfall is one of the most important issues in environmental sciences especially in watershed management. For this purpose, different statistical models have been developed which involve spatial approaches in simulation and modeling of daily rainfall values. The hidden Markov is one of the multi-site daily rainfall models which in addition to simulation of daily rainfall...
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