Search Results - (( rayleigh distribution _ algorithm ) OR ( parameter adaptation missing algorithm ))
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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
Published 2014“…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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Analyses of prior selections for Gumbel distribution
Published 2013“…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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Numerical study on natural convection in enclosures with different geometries / Cheong Huey Tyng
Published 2017“…The heat transfer rate increases with Darcy-Rayleigh number. Also, the raise of internal heat generation reduces the heat transfer rate inside the porous enclosure at high Darcy-Rayleigh number. …”
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Imbalanced multi-class power transformer fault data classification through Edited Nearest Neighbour-Manhattan-Random Forest
Published 2025“…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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Enhancing quality of service in Multi-Radio Multi-Channel Wireless Mesh Networks
Published 2023“…Striking the right balance between coverage, capacity, and interference management requires scalable load-balancing algorithms. The Load-balanced Resource Allocation (LRA) algorithm is proposed to address this challenge. …”
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Instance matching framework for heterogeneous semantic web content over linked data environment
Published 2021“…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
Published 2005“…The model can be applied to evaluate smart antenna systems and beamforming algorithms in the uplink by generating uncorrelated multipaths Rayleigh fading waveforms with certain spatio-temporal correlation and spatial coordinates relative to base stations to simulate received signals from mobiles and interferers. …”
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Incremental learning for large-scale stream data and its application to cybersecurity
Published 2015“…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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