Search Results - (( sets selection drops algorithm ) OR ( java implication based algorithm ))
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High Viscous Fluid Transport Model
Published 2004“…This set of transport equations relates steady state flow and accounts for heat transfer. …”
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Final Year Project -
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A comparative study and simulation of object tracking algorithms
Published 2020“…The algorithms using convolution features and multi-features fusion algorithms have more advantages in tracking accuracy than the algorithm using a single feature, but the tracking speed will also drop rapidly. …”
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Conference or Workshop Item -
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Performance enhancement of adaptive cluster formation and routing protocols in wireless networks
Published 2017“…The IVRP, EBCRA and ESRSBRP performance have been compared with the other routing algorithms. The efficiency and scalability of the proposed algorithms are measured based on different performance metrics, namely: throughput, packet delivery ratio, end to end delay, the number of dropped packets and normalized control overhead. …”
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Thesis -
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Optimizing the light gradient-boosting machine algorithm for an efficient early detection of coronary heart disease
Published 2024“…The LightGBM algorithm was selected for its efficiency in classification tasks, and Bayesian Optimization with Tree-structured Parzen Estimator (TPE) was employed to fine-tune its hyperparameters. …”
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Article -
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Impact of BPL penalty functions and PSF models in PET/CT radial spatial resolution recovery
Published 2024“…A capillary tube was used to draw the selected drop, creating the point source with volume 1 mm3. …”
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Monograph -
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Optimal placement and sizing of distributed generation in radial distribution networks using particle swarm optimization and forward backward sweep method
Published 2012“…PSO is among the meta-heuristics search methods like Genetic Algorithm (GA) but has been found to be computationally efficient, because it uses less number of functions for evaluation compared to GA that has genetic operators (Selection, crossover and mutation) and also the computational effort (time) required by PSO to arrive at high quality solutions is less than the effort required to the same high quality solutions by other heuristic search methods. …”
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Thesis
