Search Results - parallel using ((drops algorithm) OR (bee algorithm))*
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Tumor growth prediction using parallel computing: numerical solutions based on multi-dimensional partial differential equation (PDE)
Published 2010“…This study focuses on the implementation of parallel algorithm for the simulation of tumor growth using two dimensional Helmholtz’s wave equation on a distributed parallel computing system. …”
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Fruit-Fly Based Searching Algorithm For Cooperative Swarming Robotic System
Published 2013“…A number of benchmark function processes were conducted to assess the performance of proposed FOA (Fly Optimisation Algorithm).…”
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Online simulation to monitor multiphase flow using laser source as transmitter
Published 2021“…Linear Back-projection (LBP) is the algorithm that is used to reconstruct the image in real-time. …”
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The feature parallelism model of visual recognition
Published 2017“…Training time for feature parallelism model has dropped to 21% less than that of Deep Face. …”
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Online Simulation To Monitor Multiphase Flow Using Laser Source As Transmitter
Published 2024journal::journal article -
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Restoration planning strategy of transmission system based on optimal energizing time of sectionalizing islands / Dian Najihah Abu Talib
Published 2019“…There are two discrete optimization techniques used in this work, which are the Artificial Bee Colony algorithm and Evolutionary Programming. …”
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Performance monitoring algorithm for optimizing electrical power generated by using photovoltaic system
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Deep Learning-Driven Mobility And Utility-Based Resource Management In Mm-Wave Enable Ultradense Heterogeneous Networks
Published 2025thesis::doctoral thesis -
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An Efficient Energy Aware Adaptive System-On-Chip Architecture For Real-Time Video Analytics
Published 2016“…A Performance model for Zynq is developed using analytical method and used in hardware/software codesign to facilitate algorithms mapping to hardware. …”
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An integrated priority-based cell attenuation model for dynamic cell sizing
Published 2012“…Real-time predicted mobile traffic from the EFuNN structure was used to control the size of all the cells.Results obtained demonstrate the robustness of the integrated module in recognizing the temporal pattern of the mobile traffic and dynamically controlling the cell size in order to reduce the number of calls dropped.…”
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