Search Results - parameter estimation using evaluation framework

Feature Selection and Classifier Parameters Estimation for EEG Signals Peak Detection Using Particle Swarm Optimization by Mohd Zaidi, Mohd Tumari, Asrul, Adam, Mohd Ibrahim, Shapiai, Mohd Saberi, Mohamad, Marizan, Mubin

“…In this study, feature selection and classifier parameters estimation based on particle swarm optimization (PSO) are proposed as a framework for peak detection on EEG signals in time domain analysis. …”
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Restoration of blurred images using geometric and chebichef moments / Ahlad Kumar by Ahlad, Kumar

“…Once the blur parameters are estimated, image restoration of the proposed method is carried out using split Bregman algorithm. …”
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Real-time framework for image dehazing based on linear transmission and constant-time airlight estimation by Alajarmeh, A, Salam, RA, Abdulrahim, K, Marhusin, MF, Zaidan, AA, Zaidan, BB

“…The atmospheric light scattering (ALS) model is widely used to restore hazy images. In this model, two unknown parameters should be estimated: airlight and scene transmission, The quality of dehazed images depends considerably on the accuracy of both estimates. …”

A real-time framework for video Dehazing using bounded transmission and controlled Gaussian filter by Alajarmeh, A, Zaidan, AA

“…Atmospheric light scattering (ALS) model is widely used to restore hazy images. In this model, two unknown parameters should be estimated: airlight and scene transmission. …”

Gaussian process-based inversion: A new approach for estimating hydrocarbon parameters in controlled-source electromagnetic application by Muhammad Naeim, Mohd Aris, Hanita, Daud, Dass, Sarat Chandra, Nagaratnam, Shalini, Noryanti, Muhammad, Evizal, Abdul Kadir, Maharani, Warih

“…The resulting deviations and Bland-Altman plots demonstrated that GP-based inversion was capable of efficiently estimating the hydrocarbon input parameters in the marine CSEM inverse problems.…”
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Real-time framework for image dehazing based on linear transmission and constant-time airlight estimation by Alajarmeh A., Salam R.A., Abdulrahim K., Marhusin M.F., Zaidan A.A., Zaidan B.B.

PATCH-IQ: A Patch Based Learning Framework For Blind Image Quality Assessment by Abdul Manap, Redzuan, Ling, Shao, Frangi, Alejandro Federico

“…The model, termed PATCH based blind Image Quality assessment (PATCH-IQ), has a learning framework that operates at the patch level. This enables PATCH-IQ to provide not only a global image quality estimation but also a local image quality estimation. …”
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A real-time framework for video Dehazing using bounded transmission and controlled Gaussian filter by Alajarmeh A., Zaidan A.A.

“…Atmospheric light scattering (ALS) model is widely used to restore hazy images. In this model, two unknown parameters should be estimated: airlight and scene transmission. …”

Capacity Utilisation in the Malaysian Palm Oil Refining Industry by Abdul Jalil, Suhaila

“…The parameter estimates of the factor demand function are derived using the Ordinary Least Square technique, and elasticities of substitution of the parameter estimates are computed to evaluate the refinery's demand for inputs. …”
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Model improvement and supersaturation control of crystallization process for the case of agglomeration and breakage by Zakirah, Mohd Zahari

“…The robustness of the controller is further evaluated using uncertainty analysis. In this analysis, 6 uncertain input parameters of nucleation and crystal growth are used for potassium sulphate case study and 11 uncertain input parameters of nucleation, crystal growth, agglomeration and breakage are employed for sucrose crystallization. …”
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Adaptive differential evolution algorithm with fitness based selection of parameters and mutation strategies / Rawaa Dawoud Hassan Al-Dabbagh by Rawaa Dawoud Hassan, Al-Dabbagh

“…ARDE algorithm makes use of JADE strategy and the MDE_pBX parameters adaptive schemes as frameworks. …”
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On-orbit spatial image characterisation and restoration based on stochastic characteristic targets / Wong Soo Mee by Wong , Soo Mee

“…In continuation of the first framework, the proposed MTF measurement algorithms are evaluated experimentally as a blur kernel estimation method for spatially varying and invariant blur removal. …”
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Estimation of Probable Maximum Precipitation Using Deterministic Regional Approach for Sungai Perak TNB Dams by Isparan K., Mohd Sidek L., Basri H., Hoong K., Rafzi R.

“…The assessment work contains five head portions, particularly storm choice, storm precipitation evaluation, estimation of storm adjustment segments, PMP estimation and PMF estimation. …”

Scene illumination classification based on histogram quartering of CIE-Y component by Hesamian, Mohammad Hesam

“…Finally, for performance and accuracy evaluation misclassification error percentages, Mean Square Error (MSE), regression analysis and response time are used. …”
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Simulated Kalman Filter: A Novel Estimation-based Metaheuristic Optimization Algorithm by Zuwairie, Ibrahim, Nor Hidayati, Abd Aziz, Nor Azlina, Ab. Aziz, Saifudin, Razali, Mohd Saberi, Mohamad

“…To evaluate the performance of the Simulated Kalman Filter algorithm, it is applied to 30 benchmark functions of CEC 2014 for real-parameter single objective optimization problems. …”
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New learning algorithm based on Hidden Markov Model (HMM) as stochastic modelling for pattern calssification by Balakrishnan, Malarvili, Ting, Chee Ming, Shaikh Salleh, Sheikh Hussain

“…This study investigates the use discriminative training methods of minimum classification error (MCE) to estimate the parameter of hidden Markov model (HMM). …”
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MWSN modeling using OMNeT++ simulator by Shaukat, Haafizah Rameeza, Hashim, Fazirulhisyam

“…A detailed analysis of the design using OMNet++ (MiXiM Framework) helped in depth understanding of the network and has resulted into a better MWSN design. …”
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Double-stage features extraction for Malays vowel classification using multinomial logistic regression by Yusof, S. A. M., Mahat, Nor Idayu, Husni, Husniza, Atanda, Abdulwahab F.

“…This paper outlines a new idea for estimating the unknown MLR parameters with less number of features using a double-stage features extraction based on MLR (DSFE-MLR). …”
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A framework for selection of grid-inverter synchronisation unit: harmonics, phase-angle and frequency by Amin, Md. Ruhul, Zulkifli, Shamsul Aizam

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Modelling monthly pan evaporation utilising Random Forest and deep learning algorithms by Abed M., Imteaz M.A., Ahmed A.N., Huang Y.F.