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Toplam kayıt 170, listelenen: 31-40
A Simple Population Based Hybrid Harmonic Estimation Algorithm
(2016)
This paper presents a new hybrid algorithm for harmonic estimation. The algorithm combines a simple fast population based search algorithm with Least Squares Method. It is based on the structural property of the harmonic ...
A New Approach for Discriminating the Acoustic Signals: Largest Area Parameter (LAP)
(2018)
Feature extraction of sound signals is essential for the performance of applications such as pattern and voice recognition etc. In this study, a method based on a novel feature is proposed to separate pathological human ...
Deep Learning Based Multi Modal Approach for Pathological Sounds Classification
(2020)
Automatic detection of voice disorders is very important because it makes the diagnosis process simpler, cheaper and less time consuming. In the literature, there are many studies available on the analysis of voice disorders ...
An Approach to the Classification of Environmental Sounds by LSTM Based Transfer Learning Method
(2020)
This electronic Effective frequency extraction from acoustic environmental sounds in frequency and time axis increases the importance of voice recognition, sound detection, environmental classification in recently. For ...
Evaluation of Hemodialysis Patients in Terms of Activities of Daily Living, Disability, Depression and Comorbidity
(2017)
OBJECTIVE: This study was conducted to evaluate the hemodialysis patients in terms of activities of daily living (ADLs), disability, depression and comorbidity.
MATERIAL and METHODS: The population of this cross-sectional ...
Home Application by Hemodialysis Patients for Hypertension Management
(2017)
OBJECTIVE: This study aimed to determine home application by hemodialysis patients for hypertension management.
MATERIAL and METHODS: The population of the descriptive study included a total of 279 patients who were ...