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Toplam kayıt 11, listelenen: 1-10
Artificial neural network approach for locomotive maintenance by monitoring dielectric properties of engine lubricant
(Elsevier, 2019)
In this paper, we proposed an approach for locomotive maintenance systems by observing engine lube oil. The mechanical particles in lube oil give information about locomotive engine system condition. The engine lubricant ...
Classifying dysmorphic syndromes by using artificial neural network based hierarchical decision tree
(Springer, 2018)
Dysmorphic syndromes have different facial malformations. These malformations are significant to an early diagnosis of dysmorphic syndromes and contain distinctive information for face recognition. In this study we define ...
Intelligent control of high energy efficient two-stage battery charger topology for electric vehicles
(Pergamon-Elsevier Science Ltd, 2019)
The energy efficiency of the battery charging system directly affects the distance which electric vehicles can get with per charge process. In addition, reducing current harmonics distortion (THD) increases the electrical ...
Prediction of footing settlements with geogrid reinforcement and eccentricity
(ICE Publishing, 2019)
This study presents settlement predictions for footings with geogrid reinforcement and biaxial eccentricity using multi-linear regression (MLR) and artificial neural network (ANN) methods. The effects of central, uniaxial ...
Prediction of main particulars of a chemical tanker at preliminary ship design using artificial neural network
(Taylor and Francis Ltd., 2018)
Preliminary ship design is an important part of the ship design and a reliable design tool is needed for this stage. The aim of this study was to develop an artificial neural network (ANN) model to predict main particulars ...
Prediction of cyclic variability in a diesel engine fueled with n-butanol and diesel fuel blends using artificial neural network
(Elsevier, 2018)
In this study, the cyclic variability of a diesel engine using diesel fuel and butanol diesel fuel blends is modeled using an artificial neural network (ANN) method. The engine was operated with ten different engine speeds ...
Deep learning with 3D-second order difference plot on respiratory sounds
(Elsevier, 2018)
The second order difference plot (SODP) is a nonlinear signal analysis method that visualizes two consecutive data points for many types of biomedical signals. The proposed method is based on analysing quantization of ...
Ground plane design configuration estimation of 4.9 GHz reconfigurable monopole antenna for desired radiation features using artificial neural network
(Wiley, 2021)
This paper presents a system based on artificial neural network (ANN) that predicts ground plane design for desired radiation properties of a monopole antenna with operation band of 4.8 to 5 GHz. The operating frequency ...
Optimizing the Gain and Directivity of a Microstrip Antenna with Metamaterial Structures by Using Artificial Neural Network Approach
(Springer, 2021)
The purpose of this study is to improve the gain and directivity of the microstrip patch antenna by means of metamaterial (MTM) structures. As it is known, antennas have power densities in a certain direction, and the ...
Investigation and prediction of viscosity of spud type drilling muds added barite, calcium carbonate and olivine by artificial neural networks with limiting data
(Parlar Scientific Publications, 2021)
Drilling is one of the most common methods for the production of hydrocarbon or geothermal sources. Success of drilling operations depend on the mechanical and thermal properties of drilling mud. Since ensure direct connect ...