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1
A modified generalized RBF model with EM-based learning algorithm for medical applications
Published 2006“…Moreover, GRBF trained by the new algorithm has an apparent statistical meaning. Experimental results show potentials for real-life applications.…”
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Proceeding Paper -
2
An enhanced simulated kalman filter algorithm and its application in adaptive beamforming
Published 2019“…In this paper, a population based metaheuristic algorithm named Simulated Kalman Filter with Modified Measurement (SKFMM) is proposed for adaptive beamforming application. …”
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Conference or Workshop Item -
3
Feature selection to enhance android malware detection using modified term frequency-inverse document frequency (MTF-IDF)
Published 2019“…The proposed algorithm considered features based on its level of importance where weight given based on number of features involved in the sample. …”
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Thesis -
4
Facial image retrieval on semantic features using adaptive mean genetic algorithm
Published 2019“…The performance matrix of the AMGA was compared to those of particle swarm optimization algorithm (PSO) and genetic algorithm (GA) and found to perform better; thus, proving its efficiency.…”
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Article -
5
Modified least trimmed squares method for face recognition / Nur Azimah Abdul Rahim
Published 2018“…It can be concluded that the modified algorithm decreases the biases, the variances and the mean squared errors of the LTS estimators. …”
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Filling and restoration of cracked digitized paintings based on preserved neighbourhood pixels
Published 2021“…This paper investigates the applicability of a proposed digital image algorithm for filling cracks in digitized paintings. …”
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Article -
8
Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control
Published 2019“…The performance of modified SFS algorithm to train a nonlinear auto-regressive exogenous model (NARX) structure FNNs-based model of the system was then compared with its predecessor and with several well-known metaheuristic algorithms. …”
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Article -
9
A Hybrid Approach For Web Search Result Clustering Based On Genetic Algorithm With K-means
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journal::journal article -
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A framework of modified adaptive neuro-fuzzy inference engine
Published 2012“…A modified apriori algorithm was employed to reduce the number of clusters effectively on the basis of common data in the clusters of every input to obtain a minimal set of decision rules based on datasets. …”
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A Hybrid Rough Sets K-Means Vector Quantization Model For Neural Networks Based Arabic Speech Recognition
Published 2002“…Classification rules were generated from training feature vectors set, and a modified form of the standard voter classification algorithm, that use the rough sets generated rules, was applied. …”
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13
LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
Published 2020“…We extend the application of the adaptive LASSO via the CGD algorithm for the multivariate Baba-Engle-Kroner-Kraft (BEKK) ARCH/GARCH, our fourth model. …”
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UMK Etheses -
14
A Subspace Approach for Extracting Signals Highly Corrupted by Colored Noise
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Citation Index Journal -
15
Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid
Published 2013“…Subsequently, the developed tracing algorithm was modified in the context of stability index tracing. …”
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Thesis -
16
Computational intelligence based power tracing for non discriminatory losses charge allocation and voltage stability improvement / Zulkiffli Abdul Hamid
Published 2013“…Subsequently, the developed tracing algorithm was modified in the context of stability index tracing. …”
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Thesis -
17
Denoising of digital images using second generation wavelet transforms-hidden markov model
Published 2016“…In this issue, a newly developed algorithm based on second-generation wavelet transformation using semi-soft thresholding is introduced. …”
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Performance evaluation on quantized weight for convolutional neural network based object detection
Published 2021“…In this research, a real-time CNN based object detection system is presented. The system is designed based on the modified You Only Look Once (modified-YOLO) architecture which is constructed with only 7 CNN layers. …”
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Thesis -
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