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Early results with the Mutaf technique: A novel offmidline approach in pilonidal sinus surgery
(Korean Surgical Society, 2016)
Purpose: The objective of the present study was to compare different off-midline techniques in terms of their advantages and disadvantages. Methods: A total of 81 patients were included in this prospective, controlled, ...
An ARMA type fuzzy time series forecasting method based on particle swarm optimization
(2013)
In the literature, fuzzy time series forecasting models generally include fuzzy lagged variables. Thus, these fuzzy time series models have only autoregressive structure. Using such fuzzy time series models can cause ...
A new high order fuzzy ARMA time series forecasting method by using neural networks to define fuzzy relations
(Hindawi Publishing Corporation, 2015)
Linear time series methods are researched under 3 topics, namely, AR (autoregressive), MA (moving averages), and ARMA (autoregressive moving averages) models. On the other hand, the univariate fuzzy time series forecasting ...
First-order ARMA type fuzzy time series method based on fuzzy logic relation tables
(2013)
Fuzzy time series approaches have an important deficiency according to classical time series approaches. This deficiency comes from the fact that all of the fuzzy time series models developed in the literature use ...
Mass communication tool behavior on the effects of TV violence children age group 3-6
(Cerrahpaşa Tıp Fakültesi Psikiyatri Kliniği, 2012)
Purpose: This ongoing study aims to daycare for 3-6 year-old children's frequency of television watching, to determine the content of programs broadcast on television, cartoons, movies and advertisements on children's ...
Investigation of toxic effects of mushroom poisoning on the cardiovascular system
(Blackwell Publishing Ltd, 2016)
Mushroom poisoning (MP) is a public health problem in many countries. It is well known that consumption of wild mushrooms may cause serious toxicity on renal, hepatic and brain functions. In the literature, however, studies ...
ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations
(Elsevier Ltd, 2017)
Within classic time series approaches, a time series model can be studied under 3 groups, namely AR (autoregressive model), MA (moving averages model) and ARMA (autoregressive moving averages model). On the other hand, ...
The effect of social support on state anxiety levels during pregnancy
(Scientific Journal Publishers Limited, 2013)
In this study our aim was to determine the effect of pregnant women's perception of level of multidimensional social support during pregnancy on their state anxiety level. The sample comprised 160 pregnant women who were ...
A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network
(Springer, 2020)
As it known in many studies, the fuzzy time series methods do not need assumptions such as stationary and the linearity required for classical time series approaches, so there is a huge field of study on fuzzy time series ...
A new deep intuitionistic fuzzy time series forecasting method based on long short‑term memory
(Springer, 2021)
In recent years, deep artificial neural networks can have better forecasting performance than many other artificial neural networks. The long short-term memory (LSTM) is one of the deep artificial neural networks. There ...