Mimar Sinan Fine Arts University Institutional Repository
DSpace@MSGSÜ digitally stores academic resources such as books, articles, dissertations, bulletins, reports, research data published directly or indirectly by Mimar Sinan Fine Arts University in international standarts, helps track the academic performance of the university, provides long term preservation for resources and makes publications available to Open Access in accordance with their copyright to increase the effect of publications.Search MSGSÜ
Мakaleler: Recent submissions
Now showing items 221-240 of 3012
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The prevalence of 78 autoimmune diseases in Catalonia (MASCAT-PADRIS Big Data Project)
(Elsevier, 2020)[Abstract Not Available] -
Type M for E-J generalized quasi-Hausdorff matrices
(Pergamon-Elsevier Science Ltd, 2011)In this paper, we determine sufficient condition for the transpose of an E-J generalized Hausdorff matrix to be of type M. (C) 2010 Elsevier Ltd. All rights reserved. -
Structural and optical properties of SnO2 nano films by spin-coating method
(Elsevier Science Bv, 2015)In this work, tin oxide (SnO2) nano films were deposited on glass substrates with different water content using the sol-gel spin-coating method. SnO2 is a wide band gap semiconductor and it belongs to the class of transparent ... -
Einstein gravity with torsion induced by the scalar field
(Academic Press Inc Elsevier Science, 2018)We couple a conformal scalar field in (2+1) dimensions to Einstein gravity with torsion. The field equations are obtained by a variational principle. We could not solve the Einstein and Cartan equations analytically. These ... -
Digestive Involvement in Primary Sjogren's Syndrome
(Elsevier Science Bv, 2017)[Abstract Not Available] -
Structural stability for a linear system of thermoelastic plate equations
(Elsevier Science Inc, 2014)The continuous dependence on parameters of strong solutions of initial boundary value problems for thermoelastic plate equation is established. (C) 2014 Elsevier Inc. All rights reserved. -
Additive manufacturing: a new design approach-LPBF design and production flow chart algorithm
(Springernature, 2024)With additive manufacturing (AM) technologies completely changing the traditional design and manufacturing processes, there is a need for reinterpretation and redefinition of many design methods and constants that have ... -
The trends and outcomes of flipped learning research between 2012 and 2018: A descriptive content analysis
(Springer Heidelberg, 2021)As an innovative active learning method, flipped learning provides students with several opportunities. This study was conducted to reveal the trends and outcomes in research into the flipped learning approach published ... -
Additive manufacturing: a new design approach-LPBF design and production flow chart algorithm (Dec, 10.1007/s40964-024-00878-5, 2024)
(Springernature, 2024)[Abstract Not Available] -
LEGAL AND ADMINISTRATION MEASURES FOR ENERGY SAVINGS IN NONINDUSTRIAL BUILDINGS IN THE MEMBER STATES OF THE EC
(Pergamon-Elsevier Science Ltd, 1994)This paper attempts to summarize the efforts of the Council of the European Communities and the measures in the member states designed to stimulate energy savings in non-industrial buildings. In this context, the framework ... -
Designing for designers: Insights into the knowledge users of inclusive design
(Elsevier Sci Ltd, 2015)Over the last twenty years, research on inclusive design has delivered a wealth of publications and initiatives, forming an emerging knowledge base for inclusive design. The inclusive design knowledge base breaks down into ... -
Polynomial tapered two-stage least squares method in nonlinear regression
(Elsevier Science Inc, 2013)Nonlinear models play an important role in various scientific disciplines and engineering. The parameter estimation of these models should be efficient to make better decisions. Ordinary least squares (OLS) method is used ... -
Cinlar subgrid scale model for large eddy simulation
(Elsevier Science Inc, 2018)We construct a new subgrid scale (SGS) stress model for representing the small scale effects in large eddy simulation (LES) of incompressible flows. We use the covariance tensor for representing the Reynolds stress and ... -
A simulation study on classic and robust variable selection in linear regression
(Elsevier Science Inc, 2006)In linear regression analysis, outliers often have large influence in the variable selection process. The aim of this study is to select the subsets of independent variables, which explain dependent variables in the presence ... -
Measurement of LYSO crystal light output and energy resolution improvement with acid etching
(Pergamon-Elsevier Science Ltd, 2023)In this study, we investigated the impact of chemical etching on the light output and energy resolution of LYSO scintillators using simple, affordable laboratory equipment. We found that etching with phosphoric acid at ... -
Development and performance evaluation of a novel scintillation-based active shielding gamma probe
(Springer, 2024)The gamma probe is a commonly used detector for localizing sentinel lymph nodes after the injection of radiopharmaceuticals. In recent years, studies have focused on improving the features of gamma probes to achieve more ... -
Fuzzy decision making in health systems: a resource allocation model
(Elsevier, 2016)The efficient use of resources in health systems is important due to the increasing demand and limited funding. Large health systems often have fixed input resources (such as budget and staffing) to be allocated among ... -
To Burn the Blanket for a Flea: A Philosophical Response to Object-Oriented Archaeologies
(Springer, 2023)A growing literature in archaeological theory has embraced the material turn, especially what is branded as Object-Oriented Ontology (OOO). Some archaeologists view this as an opportunity for the discipline which is, by ... -
Bolstering stochastic gradient descent with model building
(Springer, 2024)Stochastic gradient descent method and its variants constitute the core optimization algorithms that achieve good convergence rates for solving machine learning problems. These rates are obtained especially when these ... -
Hyper Autoencoders
(Springer, 2020)We introduce the hyper autoencoder architecture where a secondary, hypernetwork is used to generate the weights of the encoder and decoder layers of the primary, actual autoencoder. The hyper autoencoder uses a one-layer ...