Search Results - (( model evaluation step algorithm ) OR ( _ identification based algorithm ))*

Deterministic Mutation-Based Algorithm for Model Structure Selection in Discrete-Time System Identification by Abd Samad, Md Fahmi

“…Model structure selection is one of the important steps in a system identification process. …”
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System identification using Extended Kalman Filter by Alias, Ahmad Hafizi

“…In order to evaluate the performance of the EKF learning algorithm, the proposed algorithm validation were analyzed using model validation methods as a checker such as One Step Ahead (OSA) and correlation coefficient (R2). …”
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Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper by Yahya, Zahrah

“…Feature extraction is a preliminary step before 3D reconstruction and therefore, a junction detection algorithm is proposed. …”
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A review on object detection algorithms based deep learning methods / Wan Xing ... [et al.] by Wan Xing, Sultan Mohd, Mohd Rizman, Johari, Juliana, Ahmat Ruslan, Fazlina

“…Deep learning-based object detection algorithms can be categorized into three main types: end-to-end algorithms, two-stage algorithms, and one-stage algorithms. …”
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Rough Set Model For Component Extraction by Nur Faiqah ’Aqilah Fuaad, Nur Fatin Nabila Mohd Rafei Heng, Nurlida Basir, Nurzi Juana Mohd Zaizi

Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan by Meisam , Gordan

“…After evaluating the results of these algorithms, a hybrid Artificial Neural Network-based Imperial Competitive Algorithm (ANN-ICA) was presented in the deployment step of the proposed methodology to identify the structural damage of illustrative structures. …”
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Parameter Magnitude-Based Information Criterion For Optimum Model Structure Selection In System Identification by Mohd Nasir, Abdul Rahman

“…Model structure selection is among one of the steps in system identification and in order to carry out this, information criterion is developed. …”
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Object detection in aerial images using Convolutional Neural Network (CNN) / Wan Nur Alya Athirah Wan Roshdee by Wan Roshdee, Wan Nur Alya Athirah

“…The article that related to this study were identified and described based on the chosen algorithm, objectives, problems, and the significance. …”
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Face detection of thermal images based on color image processing by Nur Farahana , Mat Khairi

“…The system is evaluated based on accuracy and performance.…”
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Object-based imagery analysis for automatic urban tree species detection using high resolution satellite image by Shojanoori, Razieh

“…This study also explores the use and comparison of object-based classification, and two common pixel-based classification methods namely, maximum likelihood and support vector machines based on WorldView-2 satellite imagery to evaluate the potential of the object-based in compare to pixel-based to detect urban tree species. …”
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Model predictive control for steam distillation essential oil extraction process / Nazurah Tajjudin by Tajjudin, Nazurah

“…MPC is a model based control algorithm which applied a model to predict for the future output over a prediction horizon. …”
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Sarcasm detection in Persian by Nezhad, Zahra Bokaee, Deihimi, Mohammad Ali

“…The performance of the model is analysed using several standard machine learning algorithms. …”
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Algorithmic approaches in model selection of the air passengers flows data by Ismail, Suzilah, Yusof, Norhayati, Tuan Muda, Tuan Zalizam

“…Algorithm is an important element in any problem solving situation.In statistical modelling strategy, the algorithm provides a step by step process in model building, model testing, choosing the ‘best’ model and even forecasting using the chosen model.Tacit knowledge has contributed to the existence of a huge variability in manual modelling process especially between expert and non-expert modellers.Many algorithms (automated model selection) have been developed to bridge the gap either through single or multiple equation modelling.This study aims to evaluate the forecasting performances of several selected algorithms on air passengers flow data based on Root Mean Square Error (RMSE) and Geometric Root Mean Square Error (GRMSE).The findings show that multiple models selection performed well in one and two step-ahead forecast but was outperformed by single model in three step-ahead forecasts.…”
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Multistep forecasting for highly volatile data using new algorithm of Box-Jenkins and GARCH by Siti Roslindar, Yaziz, Roslinazairimah, Zakaria

“…The algorithm adds the value of BJ-G model since it allows the model to explain more about the characteristics of the volatile series up to n-step ahead forecast.…”
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A Model for Evaluation of Cryptography Algorithm on UUM Portal by Norliana, Abdul Majid

“…The development of the simulation model consists of seven steps. The steps are problem definition, construct the simulation model, test and validate the model, design the simulation experiments, conduct the simulation experiments, evaluate the result and implement the result. …”
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Novel Adaptive Bacterial Foraging Algorithms for Global Optimisation with Application to Modelling of a TRS by Ahmad Nor Kasruddin, Nasir, Nor Maniha, Abd Ghani, Tokhi, M. O.

“…The constant step size in the original bacterial foraging algorithm causes oscillation in the convergence graph where bacteria are not able to reach the optimum location with large step size, hence reducing the accuracy of the final solution. …”
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Microwave tomography sensing for potential agarwood trees imaging by Rahiman, MHF, Thomas, TWK, Soh, PJ, Rahim, RA, Jamaludin J., Ramli, MF, Zakaria, Z

Zero distortion-based steganography for handwritten signature by Iranmanesh, Vahab

“…Thus, developing a steganographic algorithm to use cover media (c) without raising attention is the most challenging task in data hiding. …”
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Iterative And Single-Step Solutions Of Two Dimensional Time-Domain Inverse Scattering Problem Featuring Ultra Wide Band Sensors by Binajjaj, Saeed Ali Saeed

“…First, the algorithms‘ performances were evaluated using numerical simulation employing two different scanning geometries: limited and full view scanning geometries, where the applicability of these algorithms was accessed by comparing the reconstructed images with actual model. …”
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Variable order step size method for solving orbital problems with periodic solutions by Ahmad Fadly Nurullah Rasedee, Nur Amalina Jamaludin, Najwa Najib, Mohamad Hasan Abdul Sathar, Wong Tze Jin, Koo Lee Feng