Search Results - (( model validation model algorithm ) OR ( based information system algorithm ))*
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1
Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
Published 2014“…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
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2
Single parent mating in genetic algorithm for real robotic system identification
Published 2023“…A representation is made using a mathematical model based on certain specified assumptions. In SI, model structure selection is a step where a model structure perceived as an adequate system representation is selected. …”
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3
Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan
Published 2024“…Text preprocessing ensures consistent data representation and facilitates validation. The Machine Learning algorithm, comprising Random Forest, Linear Regression, XGBoost, SVM, and Stacking Ensemble, is embedded in the system for job position predictions based on the analysed data. …”
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4
Development of intelligent 3D solid modeler based on artificial intelligent technique
Published 2008“…The neural network models and the hybrid algorithm have been tested and validated on three solid models namely cube, L-block and stair by using Matlab 7.14 software. …”
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Monograph -
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Discrete-time system identification using genetic algorithm with single parent-based mating technique
Published 2024“…The study simulated single-input-single-output (SISO) models: ARX and NARX. Performance indicators included the Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), and Parameter Magnitude-based Information Criterion 2 (PMIC2). …”
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6
Mathematical modelling of mass transfer in a multi-stage rotating disc contactor column
Published 2005“…The improved forward models, consisting of a system of multivariate equations, successfully calculate the amount of mass transfer from the continuous phase to the dispersed phase and was validated by the simulation results. …”
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7
Structural Equation Modeling Algorithm and Its Application in Business Analytics
Published 2017“…This review article algorithmically discussesthe SEM methodology. SEM strategies, SEM steps and SEM stages are introduced in this article; validity tests are presented os well. …”
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8
Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm
Published 2023“…It involves identifying potential courses learning style, validated through genetic and surrogate meta-heuristics optimization algorithms, and employing Felder-Silverman model for learning style identification. …”
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9
Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper
Published 2016“…The results of the validation show a complete similarity between each original face and the output from our algorithm. …”
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10
NARX modelling for steam distillation pilot plant using binary particle swarm optimisation technique / Najidah Hambali
Published 2019“…Prior to analysing the efficiency of SDPP nonlinear models, the NARX-based BPSO model was checked based on the model validation. …”
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11
Modeling of static and dynamic components of bio-nanorobotic systems
Published 2012“…In this technique, the graph-based structural models of the fullerenes are proposed using their real structural information. …”
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12
An Analytical Algorithm for Delphi Method for Consensus Building and Organizational Productivity
Published 2017“…This review article algorithmically discussesthe SEM methodology. SEM strategies, SEM steps and SEM stages are introduced in this article; validity tests are presented os well. …”
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13
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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Abnormal data detection model based on autoencoder and random forest algorithm: camera sensor data in autonomous driving systems
Published 2025“…The key performance indicators such as accuracy, precision, recall, and F1 score are used to evaluate the model, and the robustness is guaranteed by cross-validation. …”
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15
Time-varying water temperature modelling of steam distillation pilot plant using NARX-based binary particle swarm optimisation structure selection / Najidah Hambali … [et al.]
Published 2017“…The model structure selection of polynomial NARX has been concentrated on BPSO algorithm for system identification of Steam Distillation Pilot Plant (SDPP). …”
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16
Analysis of a multilevel voltage-based coordinating controller for solar-wind energy generator: a simulation, development and validation approach
Published 2021“…The developed model has different tasks to perform when solar-wind energy sources both produce output voltages simultaneously, also contributing to solving the requirements of different synchronization algorithms for a multi-agent renewable energy system. …”
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Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…For the second objective, the Analytic Hierarchy Process (AHP) was used to decide which stations can be used to monitor the railway system optimally. The Gradient-Based Cuckoo Search (GBCS) algorithm was used to achieve the final objective. …”
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18
Effort Estimation Model for Function Point Measurement
Published 2007“…Generally, most of the algorithmic models were generated based on historical projects, and therefore, the same methodology has been applied in this research work. …”
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19
Computational dynamic support model for social support assignments around stressed individuals among graduate students
Published 2020“…Hence, this study aims to develop the dynamic configuration algorithm to provide an optimal support assignment based on information generated from both social support recipient and provision computational models. …”
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20
Malaysian license plate recognition system using Convolutional Neural Network (CNN) on web application / Nur Farahana Mahmud
Published 2022“…Based on the results obtained, the trained CNN model was able to achieve an accuracy of 97.11% for training and 96.76% for validation, respectively. …”
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