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Heuristic Methods for Postoutage Voltage Magnitude Calculations
(TUBITAK Scientific & Technical Research Council Turkey, 2016)
Power systems play a significant role in every aspect of our daily lives. Hence their continuation without any interruption (or with the least duration of interruption due to faults or scheduled maintenances) is one of the ...
A sparsity-preserving spectral preconditioner for power flow analysis
(TUBITAK Scientific & Technical Research Council Turkey, 2016)
Due to the ever-increasing demand for more detailed and accurate power system simulations the dimensions of mathematical models increase. Although the traditional direct linear equation solvers based on LU factorization ...
The impact of text preprocessing on the prediction of review ratings
(Tubitak, 2020)
With the increase of e-commerce platforms and online applications, businessmen are looking to have a rating and review system through which they can easily reveal the feelings of customers related to their products and ...
Sparsity Preserving Computation for Spectral Projectors
(Amer Inst Physics, 2011)
Several areas of applications such as model order reduction preconditioner design and eigenvalue problems for spectral projectors can be found in the literature. In this paper a fast and sparsity preserving approach for ...
Towards Faster Branch Outage Simulations Using Simulated Annealing and Parallel Programming
(IEEE, 2009)
Contingency studies such as branch outage and generator outage are among important studies of energy management centers operations. Branch outage modeling on the other hand is one of the basic steps of post-outage state ...
On-Line Transient Stability Assessment Using Matlab Parallel Programming Environment
(IEEE, 2010)
Transient Stability Assessment (TSA) is the major part of Dynamic Security Assessment (DSA) in an electric power system. On-line TSA has gained more importance for power system security in last two decades. The decreasing ...
Parallel Implementation Of Iterative Rational Krylov Methods For Model Order Reduction
(IEEE, 2010)
Model order reduction (MOR) techniques are getting more important in large scale computational tasks like large scale electronic circuit simulations. In this paper we present some experimental work on multiprocessor systems ...
A Generic Framework for Building Heterogeneous Simulations of Parallel and Distributed Computing Systems
(Springer Heidelberg, 2017)
There have been many systems available for parallel and distributed computing (PDC) applications such as grids clusters super-computers clouds peer-to-peer and volunteer computing systems. High-performance computing (HPC) ...
A Recommender Model Based on Trust Value and Time Decay Improve the Quality of Product Rating Score in E-commerce Platforms
(IEEE, 2017)
Most of the existing products rating score algorithms do not take fake accounts and time decay of users' ratings into account when creating the list of recommendations. The trust values and the time decay of users' ratings ...
Improving Item-Based Recommendation Accuracy with User's Preferences on Apache Mahout
(IEEE, 2016)
Recommendation systems play a critical role in the Information Science application domain especially in e-commerce ecosystems. In almost all recommender systems statistical methods and machine learning techniques are used ...