Teknik Bilimler Meslek Yüksekokulu / Vocational School of Technical Sciences
Güncel Gönderiler
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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 ... -
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. ... -
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 ... -
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 ... -
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 ... -
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 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 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 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 ... -
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 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 ... -
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 ... -
An Android Application for Geolocation Based Health Monitoring, Consultancy And Alarm System
(2018)In the last decade significant progress have been made in smart phone technology as well as in wireless wide area network technologies. Today among a wide population smart phones and mobile applications are considered as ... -
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 ... -
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 ... -
Blood pressure prediction from speech recordings
(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 ... -
A viable snore detection system: hardware and software implementations
(2020)A stand-alone, custom-made biomedical system was introduced for long-term monitoring of sleep and detection of snoring events. Commercially available electronic components were assembled for recording audio, pulse, and ... -
Classification of acoustic signals with new feature: Fibonacci space (FSp)
(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 ...
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