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A new ant based rule extraction algorithm for web classification
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Monograph -
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Task scheduling in cloud computing environment using hybrid genetic algorithm and artificial bee colony
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Task scheduling in cloud computing environment using hybrid genetic algorithm and bat algorithm
Published 2022“…Furthermore, CloudSim simulator will be used to evaluate the performance of this algorithm. The result of the algorithm performance will be appeared in web application system. …”
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4
A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2022“…The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. …”
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A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2022“…The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. …”
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A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
Published 2023“…The proposed algorithm is based on Wirtinger calculus and is called as q- Complex Least Mean Square (q-CLMS) algorithm. …”
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Parameter identification of thermoelectric modules using enhanced slime mould algorithm (ESMA)
Published 2024“…This paper sets pioneering research which investigates the parametric identification of thermoelectric modules (TEMs) through the employment of enhanced slime mould algorithm (ESMA). The proposed method incorporates a pair of modifications to the standard slime mould algorithm (SMA). …”
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Improved stochastic gradient descent algorithm with mean-gradient adaptive stepsize for solving large-scale optimization problems
Published 2023“…This paper proposes a new SGD algorithm with modified stepsize that employs function scaling strategy. …”
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Heartbeat Anomaly Detection Method Based on Electrocardiogram using Improved Certainty Cognitive Map
Published 2023“…The test results of the MCM Method gave a Mean Squared Error (MSE) of 0.65 and Root Mean Squared Error (RMSE) of 0.80 and the test results of the CCM Method with a Mean Squared Error (MSE) of 0.15 and a Root Mean Squared Error (RMSE) of 0.39. …”
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Thesis -
10
Extensions to the K-AMH algorithm for numerical clustering
Published 2018“…The clustering performance of the two algorithms was evaluated on six real-world datasets against a benchmark algorithm, the fuzzy k-Means algorithm. …”
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An improvement on the valiantbrebner hypercube data broadcasting technique / Nasaruddin Zenon
Published 1990“…In Section 3.0 we will propose a modification to the V-B algorithm. An analysis of the improved algorithm in comparison to te V-B algorithm is provided at the end of section 3.0.…”
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Grammar-based prosody modification for explicit control Malay language storytelling speech synthesis / Muhammad Izzad Ramli
Published 2018“…The result of PESQ test showed that grammarbased prosody modification with limitation rule produced the highest Mean Opinion Score (MOS) of 3.35 based on five-point scale. …”
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A guided hybrid k-means and genetic algorithm models for children handwriting legibility performance assessment / Norzehan Sakamat
Published 2021“…The combined method is called Hybrid K-MeansCGA. Modifications of K-Means structures were done by inserting genetic algorithm operators and tuning the population. …”
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A new variant of black hole algorithm based on multi population and levy flight for clustering problem
Published 2020“…Partitioning-based type of clustering algorithms, such as K-means, is prone to the problem of producing a set of clusters that is far from perfect due to its probabilistic nature. …”
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A HOS-based blind deconvolution algorithm for the improvement of time resolution of mixed phase low SNR seismic data
Published 2009“…These modifications are found to improve the overall deconvolution performance, with approximately a five-fold reduction in a mean square error (MSE) and a six-fold reduction in convolution noise of 10 dB of the SNR. …”
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Citation Index Journal -
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Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
Published 2013“…Cloud Computing systems are widely applied in many fields such as communication data management, web application, network monitoring, financial management and so on. …”
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Examining performance of aggregation algorithms for neural network-based electricity demand forecasting
Published 2015“…The outputs from NN models are combined by three different aggregation algorithms. These aggregation algorithms comprise of a simple average, trimmed mean, and a Bayesian model averaging. …”
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Modification to queueing system M/M/1 with Blum-Blum-Shub generator
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Improved Switching-Basedmedian Filter For Impulse Noise Removal
Published 2013“…This thesis proposed a new algorithm to reduce impulse noise from digital images. …”
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Identification of continuous-time model of hammerstein system using modified multi-verse optimizer
Published 2021“…By considering these limitations, two modifications were made upon the conventional MVO in our proposed mMVO algorithm. …”
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