Search Results - (( general selection methods algorithm ) OR ( based simulation approach algorithm ))*
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Selection and optimization of peak features for event-related eeg signals classification / Asrul bin Adam
Published 2017“…This study resulted in a new generalized model based on the best performance among the four novels simulated Kalman filter (SKF) approaches. …”
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2
Extended multiple models selection algorithms based on iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm
Published 2019“…Therefore, in this study SUREAutometrics is improvised using two MLE methods, which are iterative feasible generalized least squares (IFGLS) and expectation-maximization (EM) algorithm, named as SURE(IFGLS)-Autometrics and SURE(EM)-Autometrics algorithms. …”
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3
REDUCING LATENCY IN A VIRTUAL REALITY-BASED TRAINING APPLICATION
Published 2006“…Findings indicated that heuristic-based algorithm is an accurate prediction method to compensate latency in virtual training. …”
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4
Deterministic Mutation Algorithm As A Winner Over Forward Selection Procedure
Published 2016“…However, both also function in a population-based optimization and statistical approaches, respectively. …”
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5
A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification
Published 2023“…The simulation results on the benchmark medical datasets revealed that the proposed SCSO-KNN approach has outperformed comparative algorithms with an average classification accuracy of 93.96 by selecting 14.2 features within 1.91 s. …”
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Article -
6
New Fast Block Matching Algorithm Using New Hybrid Search Pattern And Strategy To Improve Motion Estimation Process In Video Coding Technique
Published 2016“…The first method involves the manipulation of the diamond pattern in the process, the second method includes the manipulation of the orthogonal steps, and lastly, the third method is the modified version of the second method to improve the performances of the algorithms. Evaluation is based on the algorithm performances in terms of the search points needed to find the final motion vector, the Peak-Signal to Noise Ratio (PSNR) of the algorithms, and the runtime performance of algorithm simulations. …”
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7
Fuzzy clustering method and evaluation based on multi criteria decision making technique
Published 2018“…This proposed algorithm is developed based on heuristic method named modified binary particle swarm optimization (MBPSO) with kernel fuzzy clustering method as a fitness function. …”
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Extreme air pollutant data analysis using classical and Bayesian approaches
Published 2015“…Literature on Bayesian extremes based on MCMC techniques are dealing with either Gibbs sampling method or MH method, or the combination of both methods. …”
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9
A New Technique To Design Coating Structure For Energy Saving Glass Using The Genetic Algorithm
Published 2017“…After modifying these shapes using the Genetic algorithm and Parallel Genetic algorithm, the outputs are simulated in the Computer Simulation Technology (CST) simulation software. …”
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Fault section detection and location on distribution network using analytical voltage sags database
Published 2006“…Finally, the most probable faulty section is identified using probability approach.This paper presents the implemented algorithms and the test of the algorithms on typical distribution networks. …”
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Conference or Workshop Item -
11
Void avoidance opportunistic routing density rank based for underwater sensor networks
Published 2021“…There are three new proposed algorithms introduced to address all three issues which resulted from using the OR approach in UWSNs. …”
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12
On some methods of feature engineering useful for craniodental morphometrics of rats, shrews and kangaroos / Aneesha Pillay Balachandran Pillay
Published 2024“…A comparative study based on machine learning algorithms was also conducted by using all features and the RFE-selected features to classify the R. rattus sample based on the age groups. …”
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13
Application of Genetic Algorithm for the Optimization of Energy Saving Glass Coating Structure Design
Published 2014“…Optimization technique based on the Genetic Algorithm (GA) is used to obtain an improved in return loss and transmission signal. …”
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Application of Genetic Algorithm to the Design Optimization of Complex Energy Saving Glass Coating Structure
Published 2014“…Optimization technique based on the Genetic Algorithm (GA) is used to obtain an improved in return loss and transmission signal. …”
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Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process
Published 2004“…Artificial Neural Network (ANN) was selected from Machine Learning Algorithms to be the learning algorithm. …”
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17
Steady state security analysis using artificial neural network
Published 2008“…The performance of the developed model is compared with the unified neural network trained with the full feature set. Simulation results show that the proposed method takes less time for training and has good generalization.…”
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Student Project -
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Finite Element Modeling Of Ballistic Penetration into Fabric Armor
Published 2006“…This program (named DYNTEX) based on the mentioned algorithm is designed using MATLAB code. …”
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Power prediction using the wind turbine power curve and data-driven approaches / Ehsan Taslimi Renani
Published 2018“…To evaluate the performance of the Weibull parameters’ estimator methods, two sets of data are considered, one based on simulated data with different random variable size and the other based on actual data collected from a wind farm in Iran. …”
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