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modeling algorithm » scheduling algorithm (Expand Search)
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data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
implement » implemented (Expand Search), implementing (Expand Search)
modeling algorithm » scheduling algorithm (Expand Search)
means algorithm » search algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
implement » implemented (Expand Search), implementing (Expand Search)
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141
Complexity Avoidance using Biological Resemblance of Modular Multivariable Structure
Published 2014“…Combination of Fuzzy logic and Genetic Algorithm is becoming popular among researchers in the field. …”
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conferenceObject -
142
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143
Graph contraction for physical optimization methods
Published 1993“…Mapping data to parallel computers aims at minimizing the execution time of the associated application. …”
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conferenceObject -
144
Recovery of business intelligence systems
Published 2018“…The efficiency of the data recovery algorithm is substantial for e-healthcare systems. …”
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145
Recursive Parameter Identification Of A Class Of Nonlinear Systems From Noisy Measurements
Published 2020“…The model structure is made up of two linear dynamic elements separated by a nonlinear static one. The nonlinear element is assumed to be of the polynomial type with known order; The identification is based on input/output data where the output is contaminated with measurement noise. …”
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146
Multigrid solvers in reconfigurable hardware
Published 2008“…We analyze the implementation performance using the FPGA vendor's tools. …”
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147
Cross entropy error function in neural networks
Published 2002“…Forecasting performance measures such as mean square errors (MSE) and mean absolute deviations (MAD) are presented for both models.…”
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conferenceObject -
148
Turbo-charging dominating set with an FPT subroutine
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conferenceObject -
149
A Novel Encryption Method for Dorsal Hand Vein Images on a Microcomputer
Published 2019“…In addition, the images were analyzed after noise attacks by means of peak signal-to-noise ratio (PSNR), mean square error (MSE), and the structural similarity index (SSIM) tests. …”
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150
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151
Edge intelligence for network intrusion prevention in IoT ecosystem
Published 2023“…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. The performance evaluation using standard datasets demonstrates that the proposed model provides an accuracy of up to 99.99%.…”
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152
Higher-order statistics (HOS)-based deconvolution for ultrasonic nondestructive evaluation (NDE) of materials
Published 1997“…Performance evaluation of the proposed methods and comparisons with existing methods are made by means of Monte-Carlo simulations, experimental data and analysis. …”
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masterThesis -
153
Predicting COVID-19 cases using bidirectional LSTM on multivariate time series
Published 2022“…Unlike other forecasting techniques, our proposed approach first groups the countries having similar demographic and socioeconomic aspects and health sector indicators using K-means clustering algorithm. The cumulative case data of the clustered countries enriched with data related to the lockdown measures are fed to the bidirectional LSTM to train the forecasting model. …”
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154
A survey and comparison of wormhole routing techniques in a meshnetworks
Published 1997“…Although an extremely wide number of routing algorithms have been proposed and implemented in hardware and software, it is difficult for the designer of a multicomputer to choose the best routing algorithm given a particular architectural configuration. …”
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155
Edge intelligence for network intrusion prevention in IoT ecosystem
Published 2023“…A system architecture is designed for a cloud-based IoT framework to implement the proposed algorithm efficiently. The performance evaluation using standard datasets demonstrates that the proposed model provides an accuracy of up to 99.99%.…”
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156
EEG-Based Multi-Modal Emotion Recognition using Bag of Deep Features: An Optimal Feature Selection Approach
Published 2019“…A series of vocabularies consisting of 10 cluster centers of each class is calculated using the k-means cluster algorithm. Lastly, the emotion of each subject is represented using the histogram of the vocabulary set collected from the raw-feature of a single channel. …”
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157
Multigrid solvers in reconfigurable hardware. (c2006)
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masterThesis -
158
Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information
Published 2019“…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …”
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159
Optimal Routing Protocol in Multimedia Wireless Sensor Networks
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doctoralThesis -
160
Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…Scientific advances in pile analysis have been made in recent decades but their implementation in the estimation of axial capacity has been slow. …”
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masterThesis