Ara
Toplam kayıt 592, listelenen: 371-380
Analysis of Deep Learning Sequence Models for Short Term Load Forecasting
(Springer Science and Business Media Deutschland GmbH, 2023)
Short Term Load Forecasting (STLF) is an essential part of generator scheduling in power plants. Better scheduling is crucial for both economic and environmental aspects. In this study, two different deep learning (DL) ...
Examination of Brain-Derived Neurotrophic Factor, Glial Cell Line-Derived Neurotrophic Factor, and Neurotrophin-3 Levels and Brain Volumes in Shift-Working Men: Clinical Research
(Turkiye Klinikleri, 2023)
Objective: This study aims to examine the levels of brain-derived neurotrophic factor (BDNF), glial cell line-derived neurotrophic factor (GDNF) and neurotrophin-3 (NT-3) and brain volumes in shift-working men. Material ...
An investigation on the mechanical behavior of mixed adhesively bonded composite joints subjected to transverse pre-impact following by axial post-tensile
(Elsevier, 2023)
In this study, mixed adhesive joints were formed to create a more homogeneous stress distribution in order to increase the failure load that the joints could bear. Single-lap joints (SLJs) made of glass fiber-reinforced ...
Iterative histogram equalization using discrete wavelet transform in low-dynamic range
(SPIE, 2023)
A progressive histogram equalization (HE) and contrast enhancement method is proposed in the frequency domain. This method has an iterative structure based on the 6-sigma rule in the low-dynamic range using discrete wavelet ...
Data-Driven Surrogate-Assisted Optimization of Metamaterial-Based Filtenna Using Deep Learning
(MDPI, 2023)
In this work, a computationally efficient method based on data-driven surrogate models is proposed for the design optimization procedure of a Frequency Selective Surface (FSS)-based filtering antenna (Filtenna). A Filtenna ...
Design Optimization of Ultra-Wideband Vivaldi Antenna using Artificial Intelligence
(Applied Computational Electromagnetics Society (ACES), 2022)
In this work, computationally efficient design optimization of frequency selective surface (FSS)-loaded ultra-wideband Vivaldi antenna via the use of data-driven surrogate model is studied. The proposed design methodology ...
Calculation of the T – X phase diagram of tetradecane + hexadecane and tetradecane + pentadecane under high pressure by the landau mean field theory
(Elsevier, 2022)
Landau phenomenological model is applied to two binary mixtures (tetradecane + hexadecane and tetradecane + pentadecane) to calculate T−x (temperature - composition) phase diagram under high pressure for their solid – ...
Thermodynamic study on the magnetic transition and structural phase transition in [(CH3)(2)NH2][Na0.5Fe0.5(HCOO)(3)] by using the Landau phenomenological model
(Amer Inst. Physics, 2020)
In this study, we apply the Landau phenomenological model to describe magnetic transition and structural phase transition in a metal formate framework (MOF) of the ferromagnetic [(CH3)(2)NH2][Na0:5Fe0:5(HCOO)(3)], namely, ...
3D EM data driven surrogate based design optimization of traveling wave antennas for beam scanning in X-band: an application example
(WINEF, 2022)
In this paper, design and optimization of a microstrip elliptic traveling wave antenna (TWA) are presented for the beam scanning in X-band as an application of 3D data driven surrogate based design optimization technique. ...
Calculation of Magnetization and Magnetic Susceptibility Close to Magnetic Phase Transitions in (CH3)(2)(NH2FeNiII)-Ni-III(HCOO)(6) and (CH3)(2)(NH2FeCuII)-Cu-III(HCOO)(6)
(Springer/Plenum Publishers, 2020)
We study the temperature and magnetic field dependence of the magnetization (M) and the inverse susceptibility (chi(-1)) in the metal-organic frameworks, in particular, for (CH3)(2)(NH2FeNiII)-Ni-III(HCOO)(6) (DMFeNi) and ...