Search Results - (( some applications ((amh algorithm) OR (acs algorithm)) ) OR ( _ applications using algorithm ))*
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Partitional clustering algorithms for highly similar and sparseness y-short tandem repeat data / Ali Seman
Published 2013“…The idea was incorporated into a new algorithm called, k-Approximate Modal Haplotypes (&-AMH) algorithm. …”
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Ant colony optimization in dynamic environments
Published 2010“…When coupled with a local search technique, a significant improvement can be seen for ACS using the 3-opt local search algorithm. Lastly, it was also found that different optimal parameter settings were required for solving the different sizes of the dynamic TSP problems.…”
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Adaptive Traffic Prioritization Algorithm Over Ad Hoc Network Using IEEE 802.11e
Published 2016“…This thesis proposes an adaptive traffic prioritization algorithm over ad hoc network using IEEE 802.11e standard that defines a set of Quality of Service enhancements for wireless LAN applications through modifications to the Media Access Control (MAC) layer. …”
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Execution time optimization analysis on multiple algorithms performance of moving object edge detection
Published 2023“…Computer vision and digital image processing comprises varieties of applications, where some of these used in image processing include convolution, edge detection as well as contrast enhancement. …”
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DC-based PV-powered home energy system
Published 2017“…In residential applications, energy engineers are always looking for optimal utilization of solar power to manage the energy use and reduce its impact on our economy and environment. …”
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Performance comparison of classification algorithms for EEG-based remote epileptic seizure detection in wireless sensor networks
Published 2014“…Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems.Classification is the most important technique for wide-ranging applications to categorize the items according to its features with respect to predefined set of classes.In this paper, we conduct a performance evaluation based on the noiseless and noisy EEG-based epileptic seizure data using various classification algorithms including BayesNet, DecisionTable, IBK, J48/C4.5, and VFI.The reconstructed and noisy EEG data are decomposed with discrete cosine transform into several sub-bands.In addition, some of statistical features are extracted from the wavelet coefficients to represent the whole EEG data inputs into the classifiers.Benchmark on widely used dataset is utilized for automatic epileptic seizure detection including both normal and epileptic EEG datasets.The classification accuracy results confirm that the selected classifiers have greater potentiality to identify the noisy epileptic disorders.…”
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A Mobile Web Application Engine for Generating Destination-oriented LRT Route
Published 2009“…In this paper, we proposed the used of Dijkstra’s Algorithms to provide more effective and intelligent shortest path system to provide the solution for traveler to reach the desired destination.…”
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ANN-based mango external quality grading system
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Field theory analysis for wireless infrared system's error correction
Published 2014“…Wireless infrared communications (WIR) is explained as the light waves propagation in free space by means of infrared radiation which exists in 400-700nm.This range corresponds to high frequency range which is useful for higher data rate applications. Therefore, wireless infrared is applied for higher data rates applications such as wireless computing, wireless video and wireless multimedia communication applications. …”
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Smart Microgrid approach for Distributed power generation of renewable energy
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Modeling and implementation of space vector modulation for three-phase direct torque control matrix converter
Published 2013“…Widespread, systematic, and in-depth studies have been focused on the modulation algorithm and the commutation strategy of the MC, and the key technologies for its application in induction motor drive system. …”
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