Ara
Toplam kayıt 148, listelenen: 131-140
Optimum design of timber structures under fire using metaheuristic algorithm
(Croatian Association of Civil Engineers, 2022)
One of the major tasks of structural engineers is to reduce the building cost. Thus, an effective optimization of structural elements is gaining in importance every day. The teaching-learning-based optimization (TLBO), ...
Recollection center location for end-of-life electric vehicle batteries using fleet size forecast: scenario analysis for Germany
(Elsevier, 2021)
The number of electric vehicle batteries is expected to increase. Their integration into circular economy requires their recollection at end-of-life. Decision makers need tools to determine suitable locations of recollection ...
Differential chaos shift keying assisted media-based modulation
(İstanbul Üniversitesi, 2021)
This study proposes a new energy-efficient and high data-rated communication technique by combining media-based modulation (MBM) and differential chaos shift keying technique (DCSK), called DCSK–MBM. The MBM technique, ...
Design of current-mode class 1 frequency-agile filter employing CDTAs
(Ieee, 2015)
In this study, in order to demonstrate the versatility of the active building block so-called current differencing transconductance amplifier (CDTA), a current-mode (CM) frequency-agile filter (FAF) application circuit is ...
Optimization and predictive modeling of reinforced concrete circular columns
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
Metaheuristic optimization techniques are widely applied in the optimal design of structural members. This paper presents the application of the harmony search algorithm to the optimal dimensioning of reinforced concrete ...
Design alternatives for internationally distributed learning factories in global production engineering
(Elsevier B.V., 2020)
An internationally distributed learning factory (IDLF) provides opportunities to make students aware of intercultural challenges in global production networks. An IDLF is a scalable network of learning factories with value ...
SAR moving object imaging using sparsity imposing priors
(Springer, 2017)
Synthetic aperture radar (SAR) returns from a scene with motion can be viewed as data from a stationary scene, but with phase errors due to motion. Based on this perspective, we formulate the problem of SAR imaging of ...
Using machine learning techniques to develop prediction models for detecting unpaid credit card customers
(IOS Press BV, 2020)
Customer behavior prediction is gaining more importance in the banking sector like in any other sector recently. This study aims to propose a model to predict whether credit card users will pay their debts or not. Using ...
Interpretable machine learning algorithms to predict the axial capacity of frp-reinforced concrete columns
(MDPI-Multidisciplinary Digital Publishing Institute, 2022)
Fiber-reinforced polymer (FRP) rebars are increasingly being used as an alternative to steel rebars in reinforced concrete (RC) members due to their excellent corrosion resistance capability and enhanced mechanical properties. ...