Ara
Toplam kayıt 145, listelenen: 91-100
Inelastic Displacement Ratios for Evaluation of Degrading Peak - Oriented SDOF Systems
(Budapest University of Technology and Economics, 2018)
Estimation of the inelastic displacement demand (IDD) is an
important part of the performance-based design. Coefficient
method is one of the methods for the estimation of IDD and in
this method, IDD is determined by ...
Clustering Electricity Market Participants Via FRM Models
(IOS Press, 2020)
Collateral mechanism in the Electricity Market ensures the payments are executed on a timely manner; thus maintains
the continuous cash flow. In order to value collaterals, Takasbank, the authorized central settlement ...
An Alternative Carry-save Arithmetic for New Generation Field Programmable Gate Arrays
(Tübitak, 2016)
In this work, a double carry-save addition operation is proposed, which is efficiently synthesized for 6-input
LUT-based eld programmable gate arrays (FPGAs). The proposed arithmetic operation is based on redundant ...
Accelerated Corrosion Behaviors of Zn, Al AND Zn/15Al Coatings on a Steel Surface
(Inst za kovinske materiale in tehnologie, 2011)
Zn, Al and Zn/15Al coatings can be produced in optimum conditions by the twin wire arc (TWEA) spraying technique. The
coatings are used for corrosion protection in a variety of industrial applications. In this study, the ...
Mechanical Properties and Melt Quality Relationship of Sr-modified Al-12Si Alloy
(Polska Akademia Nauk, 2015)
The formation of oxide film on the surface of aluminium melts, i.e. bifilms, are known to be detrimental when they are incorporated into
the cast part. These defects causes premature fractures under stress, or aid porosity ...
Multi-Objective Simulated Annealing for Hyper-Parameter Optimization in Convolutional Neural Networks
(PeerJ, Inc., 2021)
In this study, we model a CNN hyper-parameter optimization problem as a
bi-criteria optimization problem, where the first objective being the classification
accuracy and the second objective being the computational ...
Hyper-Parameter Selection in Convolutional Neural Networks Using Microcanonical Optimization Algorithm
(The Institute of Electrical and Electronics Engineers, 2020)
The success of Convolutional Neural Networks is highly dependent on the selected architecture
and the hyper-parameters. The need for the automatic design of the networks is especially important
for complex architectures ...
An Improved Bees Algorithm for Training Deep Recurrent Networks for Sentiment Classification
(MDPI, 2021)
Recurrent neural networks (RNNs) are powerful tools for learning information from
temporal sequences. Designing an optimum deep RNN is difficult due to configuration and training
issues, such as vanishing and exploding ...
Assessment of Optimum Renewable Energy System for the Somalia–Turkish Training and Research Hospital in Mogadishu
(MERC, 2021)
Somalia–Turkish Training and Research Hospital in Mogadishu, is only powered by diesel generator currently. In this paper, the energy demand of this hospital is utilized by determining the optimum hybrid renewable energy ...
A Study on Earthquake Performances of Reinforced Concrete Buildings with Various Number of Stories
(Golden Light Publishing, 2021)
Seismic codes generally require that the Equivalent Seismic Load Method or the Modal Response Spectrum
Method is adopted in the design of buildings. In the equivalent seismic load method, the equivalent seismic
static ...