Search Results - (( model validation method algorithm ) OR ( data visualization using algorithm ))
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1
Algorithm Development of Bidirectional Agglomerative Hierarchical Clustering Using AVL Tree with Visualization
Published 2024thesis::doctoral thesis -
2
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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3
Musical instrument identification using Convolutional Neural Network (CNN) algorithm / Muhammad Nur Azri Irfan Abdul Rahman
Published 2025“…This approach tried to overcome the limitations of the manual method and traditional algorithm, which tends to fail with the diverse dataset, diverse visual features, and scalability. …”
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4
Chemometrics analysis for the detection of dental caries via ultraviolet absorption spectroscopy / Katrul Nadia Basri
Published 2023“…The spectra were split into calibration and validation data using stratified random sampling for each of ICDAS class by a ratio of 80:20. …”
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5
EEG-and MRI-based epilepsy source localization using multivariate empirical mode decomposition and inverse solution method
Published 2018“…Since MEMD method is a data-driven method which meets the criteria to be applied for EEG processing, therefore this method was employed to extract EEG epileptic spike features. …”
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6
Predicting 30-day mortality after an acute coronary syndrome (ACS) using machine learning methods for feature selection, classification and visualization
Published 2021“…Validation of the best ML model was performed against Thrombolysis in Myocardial Infarction (TIMI) using an additional dataset of 102 patients. …”
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7
Subspace Techniques for Brain Signal Enhancement
Published 2009“…Next, the validity and the effectiveness of the algorithms to detect the P100's (used in objective assessment of visual pathways) are evaluated using real patient data collected from a hospital. …”
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8
Edge assisted crime prediction and evaluation framework for machine learning algorithms
Published 2022“…Criminal risk is predicted using classification models for a particular time interval and place. …”
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9
Hybrid sampling and random forest machine learning approach for software detect prediction
Published 2019“…Cross validation is used to remove overriding problem. Scikit-learn library is used for machine learning algorithms. …”
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10
Pipeline Corrosion Prediction Due To Naphthenic Acid Using Auto Regressive Integrated Moving Average Method (Arima)
Published 2019“…Validation of prediction model is then conducted with the use of industrial data. The result from the model are then will be visualized in dashboard…”
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11
Intelligent image noise types recognition and denoising system using deep learning / Khaw Hui Ying
Published 2019“…Targeting on impulse noise density as high as 50%, 60%, 70%, 80% and 90%, the model has been trained with a massive collection of natural images and 14 standard testing images are used for validation purposes. …”
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12
Generating vulnerability maps of dengue incidences for Petaling district in Malaysia
Published 2016“…Clustering is performed on this data using centroid and distribution models that are representatives of K-means and the Expectation Maximization (EM) algorithms, respectively. …”
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13
Implementation of MRAC, SVMPC and PID control based on direct digital control application for dc servomotor
Published 2005“…The desired behavior of the adaptive controller is expressed by utilizing reference model, and the algorithms have been realized using the Lyapunov method and MIT rules. …”
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14
Mathematical modelling of covid-19 transmission and vaccine effectiveness for a university
Published 2024“…The models were numerically solved using the Runge Kutta fourth order method (RK4) and parameter fitting techniques namely Pattern Search and Nelder-Mead Simplex algorithm embedded in MATLAB software. …”
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15
EEG-Based Person Authentication Modelling Using Incremental Fuzzy-Rough Nearest Neighbour Technique
Published 2016“…The IncFRNN algorithm updates the training set by employing a heuristic update method to maintain representative objects and eliminate rarely used objects. …”
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16
Modeling tourism movements and sentiments using spatial analysis based on social media big data
Published 2023“…Implement natural language processing methods to analyze tourists’ emotions from text data.The methods used in this thesis include web crawler technology, spatial analysis methods and sentiment analysis. …”
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17
Mathematical modeling of brain tumor cell growth for passive, active and oxygen transport mechanism with microgravity condition / Norfarizan Mohd Said
Published 2018“…The sequential algorithms for these methods are developed and written in Matlab R2009a code to produce the numerical simulations of the models. …”
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18
Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…Four criteria were used for the assessment of the model performance - Model bias, Nash– Sutcliffe and model efficiencies for both low and high flows during both calibration and validation periods. …”
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19
Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…In conclusion, the multiple moving object detection technique proposed in this study is robust to unknown transformations, with significant improvements in overall precision and recall compared to existing methods. The proposed algorithm is designed in order to tackle many limitations of the existing algorithms such as handle inevitable occlusions, model different motions from multiple moving objects, and consider the spatial information.…”
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20
Solubility enhancement of decitabine as anticancer drug via green chemistry solvent: Novel computational prediction and optimization
Published 2022“…We used a dataset that has 32 sample points to make solubility models. …”
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