Search Results - (( regional distribution model algorithm ) OR ( a validation study algorithm ))
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1
Visualization of dengue incidences using expectation maximization (EM) algorithm
Published 2017“…Along with the prediction modeling on data using centroid model and distribution model based on K-means and Expectation Maximization (EM) algorithms respectively. …”
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2
Tumor Extraction for Brain Magnetic Resonance Imaging Using Modified Gaussian Distribution
Published 2006“…Currently testing the validation of the proposed segmentation in a validation study that compares resulting MS lesion as well as gray and white matter tissue structures with Neural Network expert segmentation system. …”
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3
Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques
Published 2011“…The proposed algorithm employs a combined model that uses two different measures (nonconformity metric measures and Local Distance-based Outlier Factor (LDOF)) to improve its detection ability. …”
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4
Identification of non-equilibrium growth for bitcoin exchange rate: mathematical derivation method in Islamic financial engineering
Published 2017“…This study validates the normality distribution of data using graphical and numerical method. …”
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5
Rockfall hazard assessment based on airborne laser scanning data and GIS in tropical region
Published 2016“…Kinematic algorithms allow rockfall modelling in different motion modes in a 3D frame. …”
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6
Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the Himalayan region
Published 2024“…Through the utilization of openly accessible fine-resolution data and employing the RF algorithm, the research demonstrated promising outcomes in the identification of optimal predictor-algorithm combinations for forest AGB mapping. …”
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7
Optimized techniques for landslide detection and characteristics using LiDAR data
Published 2018“…Historically, landslide occurrences are usually mapped by taking inventory of location and magnitude of the landslide in a region. This information is used to examine and manage slope failures and distributions effectively. …”
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8
SWAT and ANN model hydrological assessment using Malaysia soil data / Khairi Khalid
Published 2017“…SWAT-CUP, which links SUFI-2 algorithm to SWAT models, has been utilized in the study for the calibration of SWAT models. …”
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9
Photogrammetric low-cost unmanned aerial vehicle for pothole detection mapping / Shahrul Nizan Abd Mukti
Published 2022“…The study set four main objectives to achieve its aim: (1) To analyse RGB and multispectral sensor calibration, (2) To evaluate the optimal flight parameters for pothole modelling production using RGB imagery, (3) To investigate various classifier algorithms and band combinations for pothole region areas using multispectral imagery and (4) To validate geometric information from the extracted pothole. …”
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10
Prediction of Surface Flow by Forcing of Climate Forecast System Reanalysis Data
Published 2023Article -
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Predicting saliency existence using reduced salient features based on compactness and boundary cues
Published 2020“…Salient object detection is a process that tries to locate the most prominent region within the visual scene. …”
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12
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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13
Islanding detection in grid-connected photovoltaic distributed generation using inverter DC-Link voltage
Published 2017“…For the study, a detailed model of 100 kW, 480V, gridconnected PV DG is implemented in MATLAB/Simulink. …”
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14
Termite mounds morphometry in predicting groundwater potentiality using geospatial technology
Published 2020“…The result produced two (2) models; termite mounds site suitability model (TMSM) and groundwater potential prediction model (GPPM) with validation accuracy using the area under ROC of 74.2% and 86.5% respectively. …”
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15
A study on regional GDP forecasting analysis based on radial basis function neural network with genetic algorithm (RBFNN-GA) for Shandong economy
Published 2022“…This study uses the genetic algorithm radial basis, neural network model, to make judgments on the relationships contained in this sequence and compare and analyze the prediction effect and generalization ability of the model to verify the applicability of the genetic algorithm radial basis, neural network model, based on the modeling of historical data, which may contain linear and nonlinear relationships by itself, so this study uses the genetic algorithm radial basis, neural network model, to make, compare, and analyze judgments on the relationships contained in this sequence.…”
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16
A method for computation of surface roughness of digital elevation model terrains via multiscale analysis
Published 2010“…Granulometric analysis is employed to compute the average area of curvature regions in the terrain, and the average roughness of the terrain due the distribution of curvature regions. …”
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17
A method for computation of surface roughness of digital elevation model terrains via multiscale analysis
Published 2010“…Granulometric analysis is employed to compute the average area of curvature regions in the terrain, and the average roughness of the terrain due the distribution of curvature regions. …”
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18
Potential impacts of climate change on water resources of Haro River Watershed in Pakistan
Published 2019“…The calibration, validation, uncertainty analysis and the sensitivity analysis of the SWAT Model is conducted in Sequential Uncertainty Fitting 2 (SUFI-2) algorithm. …”
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19
Development of lung cancer prediction system using meta-heuristic optimized deep learning model
Published 2023“…The algorithm detects the affected region depending on pixel similarity computation process. …”
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20
Using Bimodal Gaussian Mixture Model-Based Algorithm for Background Segmentation in Thermal Fever Mass Screening
Published 2011“…To estimate the bi - modal background-foreground distribution mixture parameters, Expectation-Maximization (EM) algorithm is applied and the images are clustered statistically and linearly. …”
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