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Filtreler
Filtreler
Bulunan: 80 Adet 0.001 sn
Ambargo Durumu [1]
Tam Metin [2]
Atıf Dizini [4]
Tez Danışmanı [2]
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Erişime Açık

A Multistage Deep Learning Algorithm for Detecting Arrhythmia

ALLAHVERDİ, Novruz | KUTLU, Yakup | ALTAN, Gökhan

Deep Belief Networks (DBN) is a deep learning algorithm that has both greedy layer-wise unsupervised and supervised training. Arrhythmia is a cardiac irregularity caused by a problem of the heart. In this study, a multi-stage DBN classification is proposed for achieving the efficiency of the DBN on arrhythmia disorders. Heartbeats from the MITBIH Arrhythmia database are classified into five groups which are recommended by AAMI. The Wavelet packet decomposition, higher order statistics, morphology and Discrete Fourier transform techniques were utilized to extract features. The classification pe ...Daha fazlası

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Investigation of Design Criteria for the Type of Gabion Walls

URAY, Esra | TAN, Özcan

In civil engineering, connecting two different levels each other to provide the essential safety is a common problem and in solving this problem retaining structures are widely used. In this study, the design criteria of gabion retaining wall which is a kind of retaining wall was investigated by using Taguchi Method. Parameters which affect the design of gabion retaining wall are height, length of base, wall angle and angle of internal friction and slope of backfill and 16 different Taguchi design tables were formed by these using parameters. These design tables were modelled by using computer ...Daha fazlası

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Detection of the Electronic Attributes of the Nanostructured Materials with Fuzzy Logic

ALLAHVERDİ, Novruz | GENCER, Muhammet Çağrı | VARDAR, Necati

This is a study, in which a trial was done to estimate the energy band gap (Eg) of single-walled carbon nanotubes (SWCNTs) by using a fuzzy logic algorithm that uses five inputs (strain value, fermi energy level, average energy, repulsive potential and electronic band structure energy).

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Forecasting of solar radiation using different machine learning approaches

DEMİR, Vahdettin | ÇITAKOĞLU, Hatice

In this study, monthly solar radiation (SR) estimation was performed using five different machine learning-based approaches. The models used are support vector machine regression (SVMR), long short-term memory (LSTM), Gaussian process regression (GPR), extreme learning machines (ELM) and K-nearest neighbors (KNN). Modeling of these approaches was carried out in two stages. In the first stage, VIF analysis was carried out to develop the model. Thus, the input parameters that decrease the performance of the model are removed. In the second stage, remaining input parameters such as meteorological ...Daha fazlası

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Fuzzy Logic Control System with Helicopter Takeoff and Landing

ALLAHVERDİ, Novruz | HACIMURTAZAOĞLU, Murat

In this study, fuzzy expert system is designed for the provision of helicopter takeoffs and landings by fuzzy logic. For this purpose, a model helicopter and the test platform have been created that helicopter movements can be tested. The vertical motion control on the axis defined by the fuzzy logic control system is provided for the helicopter with the generated test platform with four degrees of freedom. Fuzzy logic controller was designed with Arduino 2560 control board and Visual Studio 2010 C Sharp program for controlling helicopter model and analysis of motion control was made. Real-tim ...Daha fazlası

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The Function Analysis and its Application to Determination of Fuzzy Subsets for Model Helicopter Fuzzy Control

ALLAHVERDİ, Novruz | HACIMURTAZAOĞLU, Murat

In this study, an analysis of the function that determines the sub-clusters of the fuzzy controller for model helicopter control is performed. For this purpose, a model helicopter and a test platform were established in which the results of the function analysis can be seen and the application results will be examined. Arduino control card is used for model control. Analysis results are analyzed on computer using c # program. The computer connection with the model is carried out via the Usb port. Input parameters for control are obtained from the sensors on the model. The output values are cal ...Daha fazlası

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Water level change of lakes and sinkholes in Central Turkey under anthropogenic effects

DEMİR, Vahdettin | ÜLKE KESKİN, Aslı

Determining water level changes in lakes is significant for sustainable water supply planning, flood control, water resource management, and economic development with ecosystem sustainability. Trend analysis is a commonly used tool for detecting changes in hydrologic time series of quantities such as lake level, precipitation and temperature. Trend analysis of meteorological variables is very important for assessing the long-term changes in lake levels. This study examines long-term changes in the lakes in the Central Anatolia region of Turkey. Kızören and Timraş sinkhole lakes and Lakes Tuz a ...Daha fazlası

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Bifilms And Hot Tearing Of Al-Si Alloys

ÇETİN, Remzi | ULUDAĞ, Muhammet | DIŞPINAR, Derya

Hot tearing is one of the most interesting defects that can be found during casting of aluminium alloys. The definition of this defects has some uncertainties such as “it does not always appear under apparently identical conditions” or “the defect is highly specific to certain alloys”. There are several works in the literature on the modelling and analytical approaches. However, the experimental findings have not been satisfactory. In this work, A356, A380 and A413 alloys were cast in two different moulds to investigate the hot tearing tendency with regard to the melt quality. It was found tha ...Daha fazlası

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Drought and Flood Analyses of Samsun City

DEMİR, Vahdettin | BİLGE, Hümeyra | SEVİMLİ, Mehmet Faik

The aim of this study is to analyze the flood and drought based on precipitation and streamflow data gathered from Samsun City, the most developed province of the Black Sea Region. Flood and drought analysis are important for the water resources management and important for anticipating the natural disasters that may occur in Samsun. The study has been carried out in two parts. In the first part, streamflow data, covering the period from 1964 to 2015, provided by the Current Observation Station, which is the most powerful parameter causing flood, was investigated for flood analysis by Mann-Ken ...Daha fazlası

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Investigation Of Applications Of Fibonacci Sequence And Golden Ratio In Music

BAKIM, Sümeyye | YÖRE, Seyit

In studies presented in the literature, relationships between music and mathematics can sometimes be observed. Leonardo Fibonacci (1170-1250) is well known in mathematics with the Fibonacci Sequence and this sequence used to identify numbers in various music elements, too. In related studies, these numbers have been used to demonstrate the existence of the ‘Golden Ratio’ using methods and theories borrowed from the components of music. Nevertheless, this relationship has subsequently been seen inaccurate. The studies that previously based some works of Chopin, Mozart, Beethoven, Bach and Bartó ...Daha fazlası

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Static analysis of laminated composite beams based on higher-order shear deformation theory by using mixed-type finite element method

ÖZÜTOK, Atilla | MADENCİ, Emrah

In this paper, mixed finite element (MFEM) equations which are based on a functional are obtained by using the Gâteaux differential (GD) for laminated composite beams. Higher-order shear deformation theory (HOBT) including non-linear distribution of shear stress through thickness of laminated beam is presented. Differential field equations of composite beams are derived from virtual displacement principle. These equations were trans- formed into the operator form and using the mathematical advantages of the proposed the variational method, a functional with geometric and dynamic boundary condi ...Daha fazlası

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Numerical modeling of Samsun Mert River floods

ÜLKE, Aslı | BEDEN, Neslihan | DEMİR, Vahdettin | MENEK, Necati

Floods are considered one of the most important natural disasters after earthquakes in Turkey. As a result, there is currently great public interest in this issue and it is necessary to intensify research activities in order to understand natural disasters better and to reinforce risk management. The effect of climate change on meteorological events causes an increase in extreme events such as excessive precipitation in some regions. An extreme natural event becomes a disaster when it has a large impact on human settlements and activities. Study area Samsun city is placed in the north of Turke ...Daha fazlası

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