Search Results - (( adoption from different estimation algorithm ) OR ( adoption _ difference evolution algorithm ))
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1
Channel quality indicator for long term evolution system based on adaptive threshold feedback compression scheme
Published 2014“…The percentage difference is 2.1%,compared with the full feedback method, with only 0.5% degradation. …”
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2
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Two parameters (population size and generation numbers) are adaptively adopted from number of remaining ranking features. …”
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3
Robust Portfolio Mean-Variance Optimization for Capital Allocation in Stock Investment Using the Genetic Algorithm: A Systematic Literature Review
Published 2024journal::journal article -
4
A Computationally Efficient Least Square Channel Estimation Method for MIMO-OFDM Systems
Published 2021“…In this paper, an efficient LS estimation method is proposed by minimising relative error or difference between each estimated channel coefficient from its actual value, which is often overlooked when considering overall error. …”
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Proceeding Paper -
5
Finite impulse response optimizers for solving optimization problems
Published 2019“…SAFIRO differs from MAFIRO in term of the number of agents. …”
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6
Finite impulse response optimizers for solving optimization problems
Published 2019“…SAFIRO differs from MAFIRO in term of the number of agents. …”
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7
Effective EEG channels for emotion identification over the brain regions using differential evolution algorithm
Published 2019“…The Savitzky-Golay (SG) filter was adopted for smoothing and denoising the EEG dataset. …”
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Distribution network fault section estimation using analytical database approach
Published 2004“…This is because different types of fault may cause different values of voltage sag, which leads lo having different databases for different types of fault. …”
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10
Apply and optimize machine learning algorithms for estimating battery health
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Final Year Project / Dissertation / Thesis -
11
Recent Evolutionary Algorithm Variants for Combinatorial Optimization Problem
Published 2023“…Research works published from the year 2018 to 2022 are identified in terms of problem representation and evolutionary strategies adopted. The mechanisms and strategies used in evolutionary algorithms to address different types of combinatorial optimization problems are discovered. …”
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Article -
12
A comparative study for parameter selection in online auctions
Published 2009“…In this work, three different models of genetic algorithms are considered. …”
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A bit-serial sum of absolute difference accelerator for variable block size motion estimation of H.264
Published 2009“…The proposed hardware accelerator can be used in different disciplines from low bit rate to high bit rate by making a tradeoff between the degree of parallelism or using fast algorithm or a combination of both.…”
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15
Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…Finally, the predictive capability of valid NLHRS models has also been tested and adjusted for different strata of the population. Firstly, the study concludes that the adoptions of the flexible approach in estimation can model the binary feature of CVDs and non-linear paths in the complex path models. …”
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16
A hyper-heuristic based strategy for image segmentation using multilevel thresholding
Published 2025“…EMCQ uses four low-level heuristic sets adopted from the teaching learning-based optimisation (TLBO) algorithm, flower pollination algorithm (FPA), genetic algorithm (GA), and Jaya algorithm. …”
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17
End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
Published 2021“…The Normalized Mean Square Error (NMSE) and the BER perfor�mances for different DVB-S2X system MODCODs are investigated and the results for these algorithms are compared with the conventional Minimum Mean Square Er�ror (MMSE) and Least Square (LS) channel estimation techniques. …”
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18
Fuzzy Type-1 Triangular Membership Function Approximation Using Fuzzy C-Means
Published 2020“…Though membership functions are determined through expert's opinion, however, the one estimated through heuristic algorithms is the preferable methods. …”
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19
Gradient-based mutation manta ray foraging optimization (gbm-mrfo) for solving constrained real-world problems
Published 2022“…MRFO is a recently new introduced algorithm that consists of strategy of foraging adopted by Manta Ray while Gradient-based Mutation (GbM) is a feasibility-and solution repair strategy adopted from ϵ-Matrix-Adaptation Evolution Strategy (ϵ-MAES). …”
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20
Monitoring and assessment of weld penetration condition during pulse mode laser welding using air-borne acoustic signal
Published 2021“…Therefore, this particular work aims to investigate the characteristics of acoustic sound signal from PW Fiber laser, develop an appropriate signal processing algorithm to suppress the effect of noise on the extracted sound features, and develop an empirical model for weld depth estimation. …”
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