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Now showing items 31-40 of 43
Cloud eLearning: transforming education through cloud technology: preliminaries for generation C
(ACAD Conferences Ltd, 2012)
Cloud computing is a buzz word that is also spilling over into the education industry which enables access to software applications hardware data and computer processing power on the Web rather than installing software ...
A New Preconditioner Design Based on Spectral Division for Power Flow Analysis
(Praise Worthy Prize Srl, 2011)
Solution of large sparse linear systems is the most lime consuming part in many power system simulations. Direct solvers based on LU factorization although robust are known to have limited satiability on parallel platforms. ...
National Electronic Government Strategies in Austria
(ACAD Conferences Ltd, 2011)
One of the most emerging concepts of information technology is the one of electronic government. Electronic services that are made available by governments to citizens businesses and other governments (international) or ...
Double branch outage modeling and simulation: Bounded network approach
(Elsevier Science, 2015)
Energy management system operators perform regular outage simulations in order to ensure secure operation of power systems. AC power flow based outage simulations are not preferred because of insufficient computational ...
Optimal Allocation Of Multi-Type Distributed Generators For Minimization Of Power Losses In Distribution Systems
(Institute of Electrical and Electronics Engineers Inc., 2019)
Distributed generation (DG), including photovoltaics (PVs), wind turbines (WTs) are becoming vital for Active Distribution Networks (ADN). Therefore, optimal sizing and allocation of these units can improve voltage profiles ...
An Adaptive Affinity Matrix Optimization for Locality Preserving Projection via Heuristic Methods for Hyperspectral Image Analysis
(IEEE-Inst Electrıcal Electronıcs Engıneers Inc, 2019)
Locality preserving projection (LPP) has been often used as a dimensionality reduction tool for hyperspectral image analysis especially in the context of classification since it provides a projection matrix for embedding ...
Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods
(Institute of Electrical and Electronics Engineers Inc., 2018)
Deep learning is a subfield of machine learning and deep neural architectures can extract high level features automatically without handcraft feature engineering unlike traditional machine learning algorithms. In this ...
Website category classification using fine-tuned BERT language model
(Institute of Electrical and Electronics Engineers Inc., 2020)
The contents on the Word Wide Web is expanding every second providing web users a rich content. However, this situation may cause web users harm rather than good due to its harmful or misleading information. The harmful ...
Open data in agriculture: Sustainable model development for hazelnut farms using semantics
(Institute of Electrical and Electronics Engineers Inc., 2018)
Turkey accounts for 75% of the global hazelnut production and 70-75% of the exportation. Taking into account the socioeconomic importance of hazelnut, the stakeholders of hazelnut domain still have problems such as ...
Comparison of Cost-Free Computational Tools for Teaching Physics
(IEEE, 2010)
It is widely accepted that it is quite difficult to engage today's students, from high schools to university, both in educational activities in class and "teaching" them physics due to their prejudices about the complexity ...