Search Results - (( rayleigh distribution from algorithm ) OR ( parameter adaptation missing algorithm ))

Analyses of prior selections for Gumbel distribution by Rostami, Mohammad, Adam, Mohd Bakri

“…The usage of Markov Chain Monte Carlo via Metropolis-Hasting algorithm is implemented. Our findings show that the combination of Gumbel and Rayleigh are the most compromise pair of priors for Gumbel model. …”
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Design and optimization of a test case generation algorithm for real-time embedded systems based on adaptive Q-Learning by Yingbei, Niu, Chai, Soo See

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Development of a phantom and metal artifact correction (MAC) algorithm for post-operative spine computed tomography (CT) imaging / Noor Diyana Osman by Osman, Noor Diyana

“…The missing projection data due to metal region is detected and extracted using an improved technique of dual-step adaptive thresholding. …”
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An Adaptive Decision Tree Regression Modeling for the Output Power of Large-Scale Solar (LSS) Farm Forecasting by Kassim N.M., Santhiran S., Alkahtani A.A., Islam M.A., Tiong S.K., Mohd Yusof M.Y., Amin N.

Imbalanced multi-class power transformer fault data classification through Edited Nearest Neighbour-Manhattan-Random Forest by R Azmira, Putri Azmira

“…To validate the effectiveness of Edited Nearest Neighbour-Random Forest, it is compared to four data-level techniques including Random Under-Sampling, NearMiss, Random Oversampling, and Adaptive Synthetic Sampling. …”
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Instance matching framework for heterogeneous semantic web content over linked data environment by Mansir, Abubakar

“…The output of each algorithm is evaluated, the results have shown that each algorithm performs well and outperforms the existing algorithms on all test cases in terms better output generation and effective handling of heterogeneity from different domains, which is a necessary concern in all data-intensive problems. …”
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Channel Modeling and Direction-of-Arrival Estimation in Mobile Multiple-Antenna Communication Systems by Ravari, Arastoo Rostami

“…Estimated parameters from recent measurements ([PMFOO]) are compared with estimated parameters from model generated waveforms as well as theoretical distribution of received signal's angular spread. …”
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Incremental learning for large-scale stream data and its application to cybersecurity by Ali, Siti Hajar Aminah

“…In previous years, if there are cases of missing children or missing cars, the victims would rely on the police investigation. …”
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