Search Results - (( var optimization based algorithm ) OR ( sequence estimation method algorithm ))
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Optimization of neural network through genetic algorithm searches for the prediction of international crude oil price based on energy products prices
Published 2014“…This study investigated the prediction of crude oil price based on energy product prices using genetically optimized Neural Network (GANN). …”
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Proceeding Paper -
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A variable-capacity-based fuzzy random facility location problem with VaR objective
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Book chapter -
3
Optimal design of three-phase static var compensation system
Published 2023“…An optimal design for three-phase SVC system based on SDM is considered. …”
Conference paper -
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Block based motion vector estimation using fuhs16 uhds16 and uhds8 algorithms for video sequence
Published 2011“…Thus, this chapter offers contributions in certain areas such as reducing the mechanism of computational complexity in estimating the motion from the video sequences. In particular, the FUHS16, UHDS16 and UHDS8 algorithms were developed to estimate the motion vectors field in the video sequences. …”
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Book Chapter -
5
Sensitivity-based fuzzy multi-objective portfolio model with Value-at-Risk
Published 2019“…In addition, compared with the VaR-FMOPSM model, our sensitivity-based improved model with the IPSO algorithm also performs better than Genetic Algorithm and Simulate Anneal Algorithm (SA), it provides the same performance on this point. …”
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Article -
6
Transmission loss minimization using SVC based on particle swarm optimization
Published 2011“…This paper describes optimal sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. …”
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Conference or Workshop Item -
7
Optimal location and sizing of SVC using Particle Swarm Optimization technique
Published 2011“…This paper describes optimal location and sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. …”
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Conference or Workshop Item -
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Kalman filter based impedance parameter estimation for transmission line and distribution line
Published 2019“…In these cases, for transmission lines that are not fully transposed, the three sequence networks will be mutually coupled. The positive sequence measurement is use to estimate the positive sequence parameters which will generate inaccurate parameter estimates. …”
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Thesis -
10
A new LoRa based positioning algorithm utilizing sequence based deep learning technique
Published 2023“…Comparing with the traditional trilateration method, the proposed algorithm gives higher positioning accuracy in which the estimated positions are near to the actual position. …”
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Thesis -
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Performance Analysis of Motion Estimation Algorithms on Digital Video Images
Published 2011“…CDS compares favorably with the other algorithms for low motion sequences in terms of speed, quality and computational complexity. …”
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Genetic algorithm based method for optimal location placement of flexible ac transmission system devices for voltage profile improvement
Published 2011“…This thesis present a genetic algorithm based method for placement of FACTS devices for voltage profile improvement. …”
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Thesis -
14
Multilevel optimization for dense motion estimation
Published 2011“…Experimental results on three image sequences using four models of optical flow with different computational efforts show that the FMG/Opt algorithm outperforms significantly both the TN and MR/Opt algorithms in terms of the computational work and the quality of the optical flow estimation.…”
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Monograph -
15
On iterative low-complexity algorithm for optimal antenna selection and joint transmit power allocation under impact pilot contamination in downlink 5g massive MIMO systems
Published 2020“…The BS correlates the training signal with the established pilot reuse sequences of every UE to obtain a high-quality channel estimation. …”
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Thesis -
16
Performance Analysis of Hexagon-Diamond Search Algorithm for Motion Estimation using MATLAB
Published 2010“…To achieve a high compression ratio in coding video data, a method known as Motion Estimation (ME) is often applied to reduce the temporal redundancy between successive frames of a video sequence. …”
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Article -
17
An adaptive block-based matching algorithm for crowd motion sequences
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An adaptive block-based matching algorithm for crowd motion sequences
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Article -
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Performance analysis of hexagon-diamond search algorithm for motion estimation
Published 2010“…To achieve a high compression ratio in coding video data, a method known as Motion Estimation (ME) is often applied to reduce the temporal redundancy between successive frames of a video sequence. …”
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Conference or Workshop Item -
20
An analysis of the performance of fast block matching motion estimation algorithms
Published 2009“…To achieve a high compression ratio in coding video data, a method known as Motion Estimation (ME) is often applied to reduce the temporal redundancy between successive frames of a video sequence. …”
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Article