Search Results - (( regional distribution impact algorithm ) OR ( peer evaluation model algorithm ))
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A Hydrologic Model for Studying the Climate Change Impact on Evapotranspiration and Water Yield in a Humid Tropical Watershed
Published 1998“…A distributed parameter modelling approach was used whereby a watershed was subdivided into relatively homogeneous ground response units (GRUs) to provide distributed parameter capabilities. …”
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The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers
Published 2024“…After harmonization with the Combat algorithm, the distributions of radiomic features were aligned in terms of location and scale. …”
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Model-based hybrid variational level set method applied to object detection in grey scale images
Published 2024“…To tackle the persistent challenge of segmenting grayscale images with both uneven characteristics and high noise levels, a hybrid level-set algorithm based on kernel metrics is introduced. This algorithm leverages an improved multi-scale mean filter to mitigate grayscale inhomogeneity while reducing the impact of scale parameter selection. …”
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Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah
Published 2017“…So, in this study clustering algorithm on rainfall distribution dataset is done using WEKA 3.8 software. …”
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Probabilistic load flow�based optimal placement and sizing of distributed generators
Published 2023Article -
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Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall
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FACTORS INFLUENCING THE INTENTION TO ADOPT E-WALLET: A REGIONAL DISTRIBUTION PERSPECTIVE IN MALAYSIA
Published 2022“…In contrary, enhancing user experience of the e-wallet adopters in terms of ease of use and usefulness is the ultimate key. Regional distribution findings showed that Northern Region (Perlis, Kedah, Penang, and Perak) has the highest e-wallet adoption rate of 94.4%, followed closely by Central Region (Selangor, Federal Territory of Kuala Lumpur, and Putrajaya) at 92.3%. …”
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
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Neural network ensemble: Evaluation of aggregation algorithms in electricity demand forecasting
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Evaluation of the Transfer Learning Models in Wafer Defects Classification
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Multistep forecasting for highly volatile data using new algorithm of Box-Jenkins and GARCH
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Analysis of interconnected configuration for penetration of distributed generation
Published 2021“…That said, incorporating a Distributed Generation (DG) source in the interconnected network builds a substantial impact on the distribution system voltage profile. …”
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