Başlık için Teknik Bilimler Meslek Yüksekokulu / Vocational School of Technical Sciences listeleme
Toplam kayıt 31, listelenen: 8-27
-
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 ... -
Detecting COVID-19 from Respiratory Sound Recordings with Transformers
(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 ... -
Discovery of a glitch in the accretion- powered pulsar SXP 1062
(2017)We present timing analysis of the accretion-powered pulsar SXP 1062, based on the observations of Swift, XMM-Newton and Chandra satellites covering a time span of about 2 yr. We obtain a phase coherent timing solution that ... -
The Effects of Illumination on the Current Conduction Mechanisms of the Au/C20H12/N-Si Schottky Barrier Diode (SBD)
(2023)Using the I-V characteristics both in the dark and under varied illumination-intensities (50-250 mW.cm(-2)) by 50 mW.cm(-2) steps in the wide range bias-voltage (+/- 5 V), specific fundamental electrical and photo effects ... -
Elevator Parking Approach in Nearest Car Method
(2018)A fundamental factor that determines the system efficiency and the quality of service in elevator group control systems is the used elevator dispatching algorithm. Along with the elevator dispatching algorithm, using an ... -
Estimation of heartbeat rate from speech recording with hybrid feature vector (HFV)
(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 ... -
A hybrid measure for the discrimination of the acoustic signals: Feature matrix (FMx)
(2019)We introduce a new feature matrix (FMx) to discriminate the acoustic signals with the help of their hybrid characteristics. The FMx has hybrid domain characteristics consisting of feature values such as distributional area ... -
The LOFT mission concept - A status update
(2016)The Large Observatory For x-ray Timing (LOFT) is a mission concept which was proposed to ESA as M3 and M4 candidate in the framework of the Cosmic Vision 2015-2025 program. Thanks to the unprecedented combination of effective ... -
Max-Min Space Approach for Acoustic Signal Analysis
(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 model for the visualization and analysis of elevator traffic
(2019)Analysis of elevator traffic in high rise buildings is critical to the performance evaluation of elevator group control systems (EGCS). Elevator dispatching methods or parking algorithms in an EGCS can be designed or ... -
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 ... -
A New Approach for Estimation of Heart Beat Rates from Speech Recordings
(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
(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
(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
(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 ... -
An OFDM throughput analysis for cognitive radio application in contiguous or noncontiguous TV white spaces
(2015)Radio frequency spectrum is a finite and scarce resource. Efficient use of the radio frequency spectrum is a fundamental research issue. Since a large portion of the assigned radio frequency spectrum is used only sporadically, ... -
Optimization of Waiting and Journey Time in Group Elevator System Using Genetic Algorithm
(2014)Efficient elevator group control is an important issue for vertical transportation in high-rise buildings. From the engineering design perspective, regulation of average waiting time and journey time while considering ... -
Reduced Graphene Oxide-GelMA Hybrid Hydrogels as Scaffolds for Cardiac Tissue Engineering
(2016)Biomaterials currently used in cardiac tissue engineering have certain limitations, such as lack of electrical conductivity and appropriate mechanical properties, which are two parameters playing a key role in regulating ... -
Security and Privacy in Medical Internet of Things and Cluster-Based Wireless Sensor Networks for Health Care
(2020)Advances in sensing, networking, and the ambient intelligence of wireless sensor networks (WSNs) have been taking place in many applications recently. Growing health-care systems need wireless-based sensor networks to ... -
Sequential Decision Making for Elevator Control
(2023)In the last decade Reinforcement Learning (RL) has significantly changed the conventional control paradigm in many fields. RL approach is spreading with many applications such as autonomous driving and industry automation. ...