Browsing Teknik Bilimler Meslek Yüksekokulu / Vocational School of Technical Sciences by Author "Ankishan, Haydar"
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An Approach to the Classification of Environmental Sounds by LSTM Based Transfer Learning Method
Ankishan, Haydar (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 ... -
Blood pressure prediction from speech recordings
Ankishan, Haydar (2020)The aim of this study is to extract new features to show the relationship between speech recordings and blood pressure (BP). For this purpose, a database consisting of / a / vowels with different BP values under the same ... -
Classification of acoustic signals with new feature: Fibonacci space (FSp)
Ankishan, Haydar (2019)In this study, a new feature and feature space (FSp) are introduced by using the approach of Fibonacci series formation. The results are presented as two experimental studies. The nine groups of acoustic signals and ... -
Deep Learning Based Multi Modal Approach for Pathological Sounds Classification
Ankishan, Haydar; Kocoglu, Arif (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 ... -
Detecting COVID-19 from Respiratory Sound Recordings with Transformers
Aytekin, Idil; Dalmaz, Onat; Ankishan, Haydar; Saritas, Emine U.; Bagci, Ulas; Cukur, Tolga; Celik, Haydar; Drukker, K; Iftekharuddin, KM (2022)Auscultation is an established technique in clinical assessment of symptoms for respiratory disorders. Auscultation is safe and inexpensive, but requires expertise to diagnose a disease using a stethoscope during hospital ... -
Estimation of heartbeat rate from speech recording with hybrid feature vector (HFV)
Ankishan, Haydar (2019)This paper introduces a new hybrid feature vector for revealing the relationship between human voice and heartbeat rate (HBR). Various samples of the sustained vowel /a/ for different HBR have been extracted from a database ... -
Max-Min Space Approach for Acoustic Signal Analysis
Ankishan, Haydar; Baysal, Ugur (2017)Acoustic signals having pathological problem are difficult to discriminate from each other. Despite the presence of many features, the difficulties arise from the chaotic and nonlinear nature of these voices. Unlike the ... -
A New Approach for Discriminating the Acoustic Signals: Largest Area Parameter (LAP)
Ankishan, Haydar; Inam, S. Cagdas (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 ... -
A New Approach for Estimation of Heart Beat Rates from Speech Recordings
Ankishan, Haydar; Baysal, Ugur (2017)Today, people are able to have information about their mental state, behavior, and health status in some issues from the features of the voices. The study involves calculating the heart rates of people using nonlinear ... -
A New Approach for the Acoustic Analysis of the Speech Pathology
Ankishan, Haydar (2017)Voice disorders are a common physical problem that can be encountered today and can cause serious problems in the long term. It is necessary to analyze the voice and extract its characteristics correctly so that it can be ... -
A New Portable Device for the Snore/Non-Snore Classification
Ankishan, Haydar; Tuncer, A. Turgut (2017)Snoring is widely known as a disease. The aim of this paper is to introduce and validate our newly developed snoring detection device to identify automatically snore and non-snore sounds using a nonlinear analysis technique. ... -
A Novel Approach for Estimating Heat Transfer Coefficients of Ethylene Glycol-Water Mixtures
Bulut, Murat; Ankishan, Haydar; Demircioglu, Erdem; Ari, Seckin; Sengul, Orhan (2014)Ethylene glycol-water mixtures (EGWM) are vital for cooling engines in automotive industry. Scarce information is available in the literature for estimating the heat transfer coefficients (HTC) of EGWM using knowledge-based ... -
Slot Parameter Optimization for Multiband Antenna Performance Improvement Using Intelligent Systems
Demircioglu, Erdem; Yagli, Ahmet Fazil; Gulgonul, Senol; Ankishan, Haydar; Tartan, Emre Oner; Sazli, Murat H.; Imeci, Taha (2015)This paper discusses bandwidth enhancement for multiband microstrip patch antennas (MMPAs) using symmetrical rectangular/square slots etched on the patch and the substrate properties. The slot parameters on MMPA are modeled ...
