Search Results - (( re estimation means algorithm ) OR ( based reservation system algorithm ))*
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Segmentation of MRI brain images using statistical approaches
Published 2011“…Noise is one of the obstacles for brain MRI segmentation. The non-Local means (NL-means) algorithm is a state-of-the art neighbourhood-based noisereduction method which is time-consuming and its accuracy can be improved. …”
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Slice sampler algorithm for generalized pareto distribution
Published 2018“…Finally, the slice sampler algorithm was employed to estimate the re- turn and risk values of investment in Malaysian gold market.…”
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Kinetic parameters estimation of the Escherichia coli (E. coli) model by Garra Rufa-inspired Optimization Algorithm (GRO)
Published 2024“…In this study, experimental data was used to estimate seven kinetic parameters. However, the numerical results of The Relative Error (RE) and the Mean Error (ME) reveal that the observed and anticipated data are in line with the results. …”
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Optimizing energy and reserve minimization in a sustainable microgrid with electric vehicle integration: dynamic and adjustable manta ray foraging algorithm
Published 2023“…The results showcase significant improvements in energy and reserve minimization, highlighting the potential advantages of integrating EVs into sustainable microgrid systems. …”
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Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…The system will automatically check for the nearest vacant bay and reserve it for the current user allowing a different bay reservation for the next user. …”
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End-to-end DVB-S2X system design with deep learning-based channel estimation over satellite fading channels
Published 2021“…The Normalized Mean Square Error (NMSE) and the BER perfor�mances for different DVB-S2X system MODCODs are investigated and the results for these algorithms are compared with the conventional Minimum Mean Square Er�ror (MMSE) and Least Square (LS) channel estimation techniques. …”
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Robust estimation methods for fixed effect panel data model having block-concentrated outliers
Published 2019“…Firstly, we proposed robust panel data transformation to be performed around the MM-estimate of location as an alternative to the non-robust centering by the mean. …”
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An improved particle swarm optimization based maximum power point tracking strategy with variable sampling time
Published 2015“…Unlike conventional PSO-based MPPT systems, a variable sampling time strategy (VSTS) based on the investigation of the dynamic behavior of converter current is deployed to increase system tracking time. …”
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A New Machine Learning-based Hybrid Intrusion Detection System and Intelligent Routing Algorithm for MPLS Network
Published 2024“…This study proposes a hybrid ML-based intrusion detection system (ML-IDS) and ML-based intelligent routing algorithm (ML-RA) for MPLS network. …”
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Resource Allocation and Mobility Prediction Algorithms for Multimedia Wireless Cellular Networks
Published 2008“…The second proposed scheme is a bandwidth reservation scheme based on Mobility Prediction Scheme (MPS). …”
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A NOVEL FORWARD BACKWARD LINEAR PREDICTION ALGORITHM FOR SHORT TERM POWER LOAD FORECAST
Published 2010“…In order to verify the proposed algorithm as a solution to STLF problem, its performance is compared with other AR-based algorithms, like Burg and the seasonal Box-Jenkins ARIMA (SARIMA). …”
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Data discovery algorithm for scientific data grid environment
Published 2005“…The algorithms we studied are based on the P2P architecture. …”
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Maximum rate resource allocation algorithms with multiuser diversity and QoS support for downlink OFDMA based WiMAX system
Published 2016“…In this paper, two resource allocation algorithms are proposed, namely, weighted-rate adaptive slot allocation (WASA), and feedback delay-based slot allocation (FDSA) for OFDMA downlink system. …”
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Research On Photovoltaic Mppt Control Method Based On Improved Bas Algorithm And Variable Step-Size Inc Method
Published 2024“…In this study, a MPPT control method based on IBAS and VSINC was proposed to obtain a better performance in MPPT.…”
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Automated Scaling Region of Interest with Iterative Edge Preserving in Forward-Backward Time-Stepping
Published 2019“…Accuracy of reconstructed object is validated by using mean squared error (MSE), relative error (RE) and Euclidean distance (ED) that measure the precision in terms of pixels’ intensity, size and localization. …”
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