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Toplam kayıt 6, listelenen: 1-6
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 ...
A Nondestructive Method for Determining Fiber Content and Fiber Ratio in Concretes Using a Metamaterial Sensor Based on a V-Shaped Resonator
(Springer, 2019)
A micro sensor based on a V-shaped resonator (VSR) is implemented for the purpose of determining fiber content and ratio in construction materials as a nondestructive method. Concrete is investigated as the construction ...
Off-the-Shelf Connectors for Interdisciplinary Components
(IOS Press, 2019)
Introduction: Solutions based on software components, especially for heterogeneous constituents such as those pertaining to different disciplines suffer the interoperability burden. Adaptor technologies have been introduced ...
An electromagnetic non-destructive approach to determine dispersion and orientation of fiber reinforced concretes
(Elsevier, 2019)
Including fibers in concretes improves their mechanical properties such as flexural strength, impact load resistance and limited crack propagation. The dispersion, orientation and types of the fibers placed in the concretes ...
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 ...
Development of molecular imprinted sensor including graphitic carbon nitride/N-doped carbon dots composite for novel recognition of epinephrine
(Elsevier, 2019)
The presence of epinephrine is crucial factor relating to several chronic diseases such as hypertension and myocardial infarction. Due to these significant problems, electrochemical recognition based on graphitic carbon ...