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Toplam kayıt 381, listelenen: 61-70
The Learner Readiness for Online Learning: Scale Development and University Students’ Perceptions
(IOJET, 2021)
The purpose of this study was to determine university students’ readiness for online learning.
Mainly due to the study a multidimensional instrument for university students’ readiness for
online learning (ROLS) developed ...
Investigation of the Relationship between Food Addiction and Anxiety, Depression and Attention Deficit / Hyperactivity in Obese and Non-Obese
(Mattioli 1885, 2021)
The aim of this study is to show the relationship between Attention Deficit Hyperactivity Disorder
(ADHD) and food addiction in obese patients. It is thought that obese people have more tendency to have
food addiction. ...
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 ...
Minimum Penalty Perturbation Heuristics for Curriculum-Based Timetables Subject to Multiple Disruptions
(Elsevier, 2021)
Course timetables are often rendered infeasible due to unexpected changes in requirements and must be
repaired. Given an initial timetable, planners prefer a repaired timetable whose quality is worsened as little as
possible ...
The HEXACO–100 Across 16 Languages: A Large-Scale Test of Measurement Invariance
(Routledge Taylor & Francis Group, 2020)
The HEXACO Personality Inventory–Revised (HEXACO–PI–R) has become one of the most heavily
applied measurement tools for the assessment of basic personality traits. Correspondingly, the inventory
has been translated to ...
Robust University Course Timetabling Problem Subject to Single and Multiple Disruptions
(Elsevier, 2020)
University course timetables are often finalized in stages, in between which, changes in the data make the earlier version infeasible. As each version is announced to the community, it is desirable to have a robust initial ...
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 ...
Sonosynthesis and Characterization of Konjac Gum/Xanthan Gum Supported İronoxide Nanoparticles
(Elsevier, 2021)
In this study, an optimizedmethodwas developed for the synthesis of biologicalmacromolecule blend supported
iron oxide nanoparticles (IO NPs). The nanostructure was composed of binary polymer blends of konjac gum
(KG) ...
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 Analysis of the Plan and Facade Typologies of Boyabat’s Traditional Turkish Houses
(Kaunas University of Technology, 2021)
This study examines the traditional housing culture of a town in northern Turkey. We aimed to determine the
characteristics of traditional Boyabat houses. The Çay District, which was chosen as a case study, is the core
of ...