Haydar Ankishan

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Snoring, which may be decisive for many diseases, is an important indicator especially for sleep disorders. In recent years, many studies have been performed on the snore related sounds (SRSs) due to producing useful results for detection of sleep apnea/hypopnea syndrome (SAHS). The first important step of these studies is the detection of snore from SRSs(More)
Snoring is a noise related sound, which occurs while sleeping owing to narrow upper airway cause hard to breathing. There are a lot of studies available related to diagnosis and specifying the how harmful for people bodies. Some studies have used these sounds depending on acoustical features; the others have used polysomnography devices that produce some(More)
Obstructive sleep apnea/hypopnea (OSAH) is a highly prevalent disease which causes collapse in upper airway while sleeping. The purpose of this study is to classify snore related sounds into snore/non-snore episodes using adaptive neuro fuzzy inference system (ANFIS). Time-domain features which are entropy, energy and zero crossing rates were used and(More)
Simultaneous localization and mapping (SLAM) is known to be a problem for autonomous vehicles/robots. Different solutions have recently been proposed on this subject. The best known of these are FastSlam based approaches. In this study, two improved FastSlam based methods are proposed to solve the SLAM problem. In the first method, square root unscented(More)
There are different Bayesian based approaches proposed for the solution of simultaneous localization and mapping (SLAM) problem in the literature. In this study, square root unscented Kalman based (Sru)-FastSLAM and square root unscented particle filter based (SruPf) - FastSLAM were proposed for the SLAM problem solution. The first method used Sru - Kalman(More)
Obstructive sleep apnea (OSA) is a highly prevalent disease in which upper airways are collapsed during sleep, leading to serious consequences. The aim of this work is to study apnea, hypopnea and normal snoring sounds by using the criterias that are not used before in this area. The snoring sounds which are separated from segşments, that are in case(More)
In this paper, Kalman and Least Mean Square based filters are used for colored noise corrupted speech enhancement. Unlike previous studies a second speech signal has been utilized as colored noise which represents the situation where two persons are talking concurrently. Such a setup will help analyse the performance of speech enhancement algorithms when(More)
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 estimation techniques such as adaptive neuro-fuzzy inference systems (ANFIS) and artificial neural networks (ANN) which offer nonlinear(More)
Simultaneous Localization and Mapping (SLAM) is a method employed by robots and autonomous vehicles to build up a map within an unknown environment or to update a map within a known environment. In recent years, SLAM has been a significant problem with autonomous. There have been different statistical methods used for solving this problem ranging from(More)
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