Search Results - (( variable weighting based algorithm ) OR ( java interactive learning algorithm ))

Teaching and learning via chatbots with immersive and machine learning capabilities by Nantha Kumar Subramaniam

“…These chatbots support learning of Java via problem-solving steps through “learning by doing”. …”
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Independent And Dependent Job Scheduling Algorithms Based On Weighting Model For Grid Environment by M. Al-Najjar, Hazem

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Robust diagnostics and variable selection procedure based on modified reweighted fast consistent and high breakdown estimator for high dimensional data by Baba, Ishaq Abdullahi

“…However, in practice, high leverage points may lead to misleading results in solving variable selection problems. Therefore, a robust sure independence screening procedure based on the weighted correlation algorithm of MRFCH for high dimensional data is developed to address this problem. …”
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Imposed weighting factor optimization method for torque ripple reduction of IM fed by indirect matrix converter with predictive control algorithm by Uddin, M., Mekhilef, Saad, Rivera, M., Rodriguez, J.

“…Therefore, an optimization method is adopted here to calculate the optimum weighting factor corresponds to minimum torque ripple and is compared with the results of conventional weighting factor based predictive control algorithm. …”
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Optimal Weighted Learning of PCA and PLS for Multicollinearity Discriminators and Imbalanced Groups in Big Data (S/O: 13224) by Mahat, Nor Idayu, Engku Abu Bakar, Engku Muhammad Nazri, Zakaria, Ammar, Mohd Nazir, Mohd Amril Nurman, Misiran, Masnita

“…The developed algorithm weighted the n objects contribution in explaining the separation between groups. …”
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A firefly algorithm based hybrid method for structural topology optimization by Gebremedhen, H.S., Woldemichael, D.E., Hashim, F.M.

“…The lower and upper limit of design variables (0 and 1) were used to find initial material distribution to initialize the firefly algorithm based section of the hybrid algorithm. …”
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Use of AR Block Processing for Estimating the State Variables of Power System by Mohd Nor, Nursyarizal, Jegatheesan, Ramiah, Perumal, Nallagownden

“…In practice, the individual measurement is assigned with their own weight factor based on technical experience by the engineers. …”
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Calculating customer experience management index for telecommunication service using genetic algorithm based weighted attributes by Khan, Nusratullah, Akram, M. Usman, Shah, Asadullah, Ahmed Khan, Shoab

“…This paper presents a genetic algorithm (GA) based technique for assigning weights to different attributes of a service based on survey data to find overall customer experience management index (CEMI). …”
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Robust correlation feature selection based support vector machine approach for high dimensional datasets by Baba, Ishaq Abdullahi, Mohammed, Mohammed Bappah, Jillahi, Kamal Bakari, Umar, Aliyu, Hendi, Hasan Talib

“…In the first step, a weights-based modified reweighted fast, consistent, and high break-down point is computed. …”
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A swarm intelligent approach for multi-objective optimization of compact heat exchangers by Yousefi M., Yousefi M., Martins Ferreira R.P., Darus A.N.

An improvised SIMPLS estimator based on MRCD-PCA weighting function and its application to real data by Siti Zahariah, Midi, Habshah, Mustafa, Mohd Shafie

“…The execution of SIMPLS is based on the empirical covariance matrix of explanatory variables and response variables. …”
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A binary archimedes optimization algorithm and weighted sum method for UFLS in islanded distribution systems considering the stability index and load priority by Mohd Rosli, Hazwani, Mokhlis, Hazlie, Mansor, Nurulafiqah Nadzirah, Md Sapari, Norazliani, Abd Halim, Syahirah, Li, Wang, Sulaima, Mohamad Fani

“…Each load is assigned a weight based on its priority. These weight variables determine the order in which loads are shed during frequency deviations. …”
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Optimization Of Bar Linkage By Using Genetic Algorithms by Ramasamy, Mugilan

“…This thesis presents the method of using simple Genetic Algorithms (GAs) in optimizing the size of bar linkage with discrete design variables and continues design variables. …”
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Adaptive-model based self-tuning generalized predictive control of a biodiesel reactor / Ho Yong Kuen by Ho, Yong Kuen

“…Based on the evolution of the process dynamics given by the VFF-RLS algorithm in the form of First Order Plus Dead Time (FOPDT) model parameters, the move suppression weight for the AS-GPC was recalculated automatically at every time step based on the analytical tuning expressions. …”
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Improved algorithms of elliptic curve point multiplication over binary and prime fields using elliptic net by Muslim, Norliana

“…The EN method is an alternative in ECPM computation since the first DBL and DBLADD via EN in the literature appear to dismiss the Hamming weight of scalar. In this study, the proposed DBL and DBLADD algorithm using the Karatsuba method for non-supersingular Koblitz curve over m bits binary field with gcd(2m– 1, 3)=1 that incorporates eight blocks of EN with three temporary variables saved two multiplications or 9.09% in DBL and DBLADD algorithms, in comparison to the recent literature pertaining to EN. …”
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Modeling forest fires risk using spatial decision tree by Yaakob, Razali, Mustapha, Norwati, Nuruddin, Ahmad Ainuddin, Sitanggang, Imas Sukaesih

“…Determining the weights for each criterion is based on expert knowledge or the previous experienced of the developers that may result too subjective models. …”
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Statistical modeling via bootstrapping and weighted techniques based on variances by Wan Ahmad, Wan Muhamad Amir, Aleng, Nor Azlida, Ali, Z, Mohd Ibrahim, Mohamad Shafiq

“…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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Harmony Search algorithm-based gasoline consumption modeling for Indonesia by Anggarani, Riesta, Watada, Junzo

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A Review of Multi-criteria Decision-Making Methods Using Application of Variable Weight Theory and IF-TOPSIS-EF by Ayasrah, Omar, Faiz, Mohd Turan

“…This paper represents the methodology to conduct a research that aims to combine two methods (IFS-TOPSIS-exponential based and Variable Weight Theory) in a new technique that tackles the abovementioned gaps by following induction research approach to validate the new technique by utilizing the secondary data, then to use interviews to develop the mobile application algorithm to perform solving MCDM problems virtually.…”
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Comparison between fuzzy bootstrap weighted multiple linear regression and multiple linear regression: a case study for oral cancer modelling by Mohd Ibrahim, Mohamad Shafiq, Wan Ahmad, Wan Muhamad Amir, Hasan, Ruhaya, Harun, Masitah Hayati

“…Methodology: Methodology building is based on the SAS algorithm (SAS 9.4 software) which is a robust computational statistic that consists the combination of robust regression, bootstrap, weighted data, Bayesian, and fuzzy regression method. …”
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