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1
Loss reduction in distribution networks using new network reconfiguration algorithm
Published 1996“…For this purpose a simple-to-use formula, called loop loss reduction formula, has been developed. …”
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2
Comparative analysis of sine cosine and social network search-based algorithm for software test redundancy reduction optimization
Published 2024“…Addressing this issue as an optimization problem, many existing works adopts metaheuristic algorithms to eliminate redundancy. Acknowledging the fact that no single metaheuristic algorithm is superior than its counterparts as well as taking the opportunity to adopt recent algorithm, our work present a comparative study (i.e., solving the TRR problem) using two recently developed metaheuristic algorithms namely the Social Network Search Algorithm (SNS) and the Sine Cosine Algorithm (SCA). …”
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3
Parallelization of noise reduction algorithm for seismic data on a beowulf cluster
Published 2010“…The parallel algorithm was developed using C language with the utilization of the Message Passing Interface (MPI) library. …”
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4
Development of CT Metal Artifact Reduction Algorithm for use in Radiotherapy Treatment Planning System
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Loss reduction in distribution networks by network reconfiguration: a two stage solution approach
Published 2004“…For this purpose a simple-to-use formula, called loop loss reduction formula has been developed. …”
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6
Active intelligent control of vibration of flexible plate structures
Published 2011“…Tests with various disturbance signals show that good vibration reduction is achieved with the developed model-based SISO-AVC algorithms. …”
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7
Performance of various forecasting algorithms to reduce the number of transmitted packets by sensor node in wireless sensor networks
Published 2018“…The selected algorithms for the reduction algorithm in the transmissions include Move Average algorithm (MA), Autoregressive all-pole model parameters — Burg’s algorithm. …”
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8
Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The results show that using dimensionality reduction techniques along with the ML algorithms with a dataset containing high-dimensional data significantly improves the classification results. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The results show that using dimensionality reduction techniques along with the ML algorithms with a dataset containing high-dimensional data significantly improves the classification results. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The results show that using dimensionality reduction techniques along with the ML algorithms with a dataset containing high-dimensional data significantly improves the classification results. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2022“…The results show that using dimensionality reduction techniques along with the ML algorithms with a dataset containing high-dimensional data significantly improves the classification results. …”
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Efficient Machine Learning Model for DDoS Detection System Based on Dimensionality Reduction
Published 2023“…The results show that using dimensionality reduction techniques along with the ML algorithms with a dataset containing high-dimensional data significantly improves the classification results. …”
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Numerical Integration And Data Reduction For Application In Photometry
Published 2003“…The first derivatives at the interior knots are estimated from the average of the angles subtended to the horizontal by two adjacent slopes. In a further development, the algorithm is extended to create another algorithm using quintic polynomial interpolation that has C2 continuity, providing smoother interpolation curves but retaining the local nature of interpolation.…”
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14
Real time nonlinear filtered-x lms algorithm for active noise control
Published 2012“…Simulation and experimental results have shown that the developed THF-NLFXLMS achieves additional noise reduction of 19% from that being achieved by the linear FXLMS algorithm.…”
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15
An enhanced soft set data reduction using decision partition order technique
Published 2017“…The results show that the decision partition order technique performs up to 50% in parameter reduction, while some algorithms could not obtain any reduction. …”
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16
A population division based multi-task sine cosine algorithm for test redundancy reduction optimization
Published 2024“…To cater for simultaneous test redundancy reduction from multiple software development projects, a multi-task-based test redundancy reduction algorithm is desirable. …”
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17
Improved sparrow search algorithm for test redundancy reduction
Published 2024“…In this context, in this paper, we proposed an improved sparrow search algorithm, and we use the test redundancy reduction problem as a case study. …”
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Network reconfiguration and control for loss reduction using genetic algorithm
Published 2010“…Two selection methods that are used in Genetic Algorithm are the roulette wheel and tournament selections. …”
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20
Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman
Published 2014“…The last part is the development of a metal artifact correction (MAC) algorithm and evaluation of the proposed algorithm in artifacts reduction in CT images. …”
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