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Variational model with image denoising fitting term for boundary extraction of breast ultrasound images
Published 2023“…Consideration of four distinct image Denoising algorithms—Gaussian filter, Median filter, Wiener filter, and Rudin-OsherFatemi (ROF) algorithm—as the new fitting terms in the CDSS model leads to four variants of modified CDSS models called Modified CDSS based on Gaussian filter (MCDSSG), Modified CDSS based on Median filter (MCDSSM), Modified CDSS based on Wiener filter (MCDSSW) and Modified CDSS based on ROF (MCDSSROF). …”
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A modified generalized RBF model with EM-based learning algorithm for medical applications
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Proceeding Paper -
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Model structure selection for a discrete-time non-linear system using genetic algorithm
Published 2004“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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Modified damage location indices in beam-like structure: Analytical study
Published 2011“…Proposed modifications to two existing algorithms, based on mode shape, for locating of damage in a beam like structure model are presented in this paper. …”
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CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING
Published 2017“…The solution set (i.e. optimized weight/bias matrix of ANN) provided by the optimized and improved genetic algorithm and modified BP based model is extracted and used in the design and development of a prototype device of the proposed model. …”
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Thesis -
8
Modified Sine Cosine Algorithm for Identification of Liquid Slosh based on Continuous-time Hammerstein Model
Published 2020“…This paper presents the identification of liquid slosh plant using the Hammerstein model based on modified Sine Cosine Algorithm (mSCA). …”
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Conference or Workshop Item -
9
A novel hybrid classification model of genetic algorithms, modified k-Nearest Neighbor and developed backpropagation neural network
Published 2014“…The performance of the proposed model was compared with thirteen well-known classification models based on seven datasets. …”
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Modified multi-verse optimizer for nonlinear system identification of a double pendulum overhead crane
Published 2021“…In the HMVOSCA algorithm, the new position updating mechanism of the traditional MVO method is modified based on the sine function and cosine function which is taken from the Sine Cosine Algorithm (SCA). …”
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Conference or Workshop Item -
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The results show that the proposed algorithm can be employed as an algorithm to select the structure of the proposed model.…”
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…Based on the acquired results, the experiments reveal that the modified word vectors algorithm can effectively alter original LLM-generated word vectors to reflect intended contexts and can outperform baseline scores in contextual text classification tasks. …”
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Vehicle ride performance with semi-active suspension system using modified skyhook algorithm and current generator model
Published 2008“…A controller known as modified skyhook algorithm and current generator model was used in the semi-active suspension system. …”
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Development of computer aided three-dimensional geometric modeler based on designer's idea in twodimensional
Published 2006“…The methodology used in this study is based on the framework of a geometric modeler that contains two phases. …”
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Monograph -
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Modified artificial neural network (ANN) models for Malaysian construction costs indices (MCCI) data / Saadi Ahmad Kamaruddin
Published 2018“…The proposed neural network models are named as modified NAR and NARMA models, which able to handle various degrees of outliers problem in time series data. …”
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Book Section -
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Hybridization of modified sine cosine algorithm with tabu search for solving quadratic assignment problem
Published 2022“…In QAP, a set of facilities is assigned to a set of locations to form a one-to-one assignment with minimum assignment cost. Firstly, the modified SCA (MSCA) model with cost-based local search strategy is developed. …”
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Thesis -
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Application of conjugate gradient approach for nonlinear optimal control problem with model-reality differences
Published 2018“…Accordingly, the optimality conditions are derived after the Hamiltonian function is defined. Specifically, the modified model-based optimal control problem is resulted. …”
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Statistical modeling via bootstrapping and weighted techniques based on variances
Published 2018“…This study aims to provide an applied method for multiple logistic regression which is called modified Bayesian logistic regression modeling as an alternative technique for logistic regression analysis that focuses on a combination of the bootstrap method using SAS macro and weighted techniques based on variances using SAS algorithm. …”
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