Search Results - (( _ application ((amh algorithm) OR (acs algorithm)) ) OR ( based applications based 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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Extensions to the K-AMH algorithm for numerical clustering
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Neural Networks based fault diagnosis of ac motors
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Hybridization of enhanced ant colony system and Tabu search algorithm for packet routing in wireless sensor network
Published 2020“…This research proposes a hybridization of Enhanced ACS and Tabu Search (EACS(TS)) algorithm for packet routing in WSN. …”
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A New Near Optimal Harmonics Elimination PWM Algorithm For AC Traction Drives
Published 2002“…One well-known solution to ensure that the unwanted harmonics do not appear on the spectra is by using the harmonics elimination PWM (HEPWM) switching method. However, the application of HEPWM has been somewhat limited by the fact that the switching angles cannot be calculated online by a microprocessor-based waveform generator. …”
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Fast algorithm for VQ-based wavelet coding system
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Improvement DACS3 Searching Performance using Local Search
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A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024“…The ML-based routing algorithm is compared to the conventional routing algorithm, Routing Information Protocol version 2 (RIPv2). …”
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Ant colony optimization in dynamic environments
Published 2010“…The last objective of this thesis is to optimize the parameter settings of the best performing ant algorithm with local search. From the experimental analysis, it was found that ACS works best for solving the dynamic TSP compared to the other five ant algorithms. …”
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Multi-label learning based on positive label correlations using predictive apriori
Published 2019“…Along with that, two algorithms have been constructed by capturing the positive correlations where the first algorithm (MLR-PC) captures the positive global correlations and the second algorithm (MLCBA) proposes an adaption of AC algorithm to handle MLC based on the positive local correlations. …”
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Design issues and challenges of an FPGA-based orthogonal matching pursuit implementation for compressive sensing reconstruction
Published 2020“…To date, the implementation of practical applications of CS in hardware platforms, especially in real-time applications, still faces challenging issues due to the high computational complexity of its algorithms, hence leading to high power-consuming processes. …”
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Energy efficiency mechanism using mobile-based fermat's spiral in wireless sensor networks
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