New Technologies in eLearning Creative Tools of Web 2 0 and Semantic Web

2010-05-01
Arpacı, İbrahim
Gürbüz, Tarkan
Yarlıkaş, Serdar

Suggestions

New modeling and analysis methods for micro-plates
Aghazadeh, Reza; Dağ, Serkan; Ciğeroğlu, Ender; Department of Mechanical Engineering (2017)
This study presents strain gradient elasticity based procedures for static bending, free vibration and buckling analyses of functionally graded rectangular micro-plates subjected to mechanical and thermal loadings. Mathematically the non-classical modified couple stress and classical elasticity theories are the two special cases of the new model. The methods developed allow taking into account spatial variations of length scale parameters of strain gradient elasticity and modified couple stress theory. Gove...
New Techniques in Profiling Big Datasets for Machine Learning with a Concise Review of Android Mobile Malware Datasets
CANBEK, Gurol; SAĞIROĞLU, ŞEREF; Taşkaya Temizel, Tuğba (2018-12-04)
As the volume, variety, velocity aspects of big data are increasing, the other aspects such as veracity, value, variability, and venue could not be interpreted easily by data owners or researchers. The aspects are also unclear if the data is to be used in machine learning studies such as classification or clustering. This study proposes four techniques with fourteen criteria to systematically profile the datasets collected from different resources to distinguish from one another and see their strong and wea...
New approaches in cellular radio systems using dynamic radio channel management
Yilmaz, N; Ergul, FR (2004-10-27)
New approaches are presented to facilitate dynamic radio bandwidth management for mobile communication systems. The aim is achieve an overall high level of QoS for both handoff calls and new calls. At the same time, the utilization of wireless network resources, i.e. the revenues earned by the operator. The simultaneous satisfaction of these two conflicting interests, under varying mobility and network traffic conditions, will be difficult. However, a balanced operation could be obtained by applying two nov...
New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology
Taylan, P.; Weber, Gerhard Wilhelm; Beck, A. (Informa UK Limited, 2007-10-01)
Generalized additive models belong to modern techniques frorn statistical learning, and are applicable in many areas of prediction, e.g. in financial mathamatics, computational biology, medicine, chemistry and environmental protection. In these models, the expectation of response is linked to the predictors via a link function. These models are fitted through local scoring algorithm using it scatterplot smoother as building blocks proposed by Hastie and Tibshirani (1987). In this article, we first give it s...
New methodologies for optimal operation of water distribution systems for water quality purposes
Altan Sakarya, Ayşe Burcu; Mays, LW (1998-01-01)
Two new methodologies have been developed for determining the optimal operation of water distribution systems for water quality purposes. These methodologies are based upon describing the operation as a discrete time optimal control problem that can be used to determine the optimal operation schedules of the pumps in distribution systems. One solution methodology is based upon a mathematical programming approach and the second methodology is based upon a simulated annealing approach. These two methodologies...
Citation Formats
İ. Arpacı, T. Gürbüz, and S. Yarlıkaş, “New Technologies in eLearning Creative Tools of Web 2 0 and Semantic Web,” 2010, Accessed: 00, 2021. [Online]. Available: 0.