scholarly journals Soft-Computing Model-Based Controllers for Increased Photovoltaic Plant Efficiencies

2007 ◽  
Vol 22 (4) ◽  
pp. 873-880 ◽  
Author(s):  
Abdulhadi Varnham ◽  
Abdulrahman M. Al-Ibrahim ◽  
Gurvinder S. Virk ◽  
Djamel Azzi
Keyword(s):  
Soft Computing ◽  
Computing Model ◽  
Model Based ◽  
Photovoltaic Plant

scholarly journals A multi-objective evolutionary algorithm-based soft computing model for educational data mining

2017 ◽  
Vol 12 (1) ◽  
pp. 106-123
Author(s):  
Choo Jun Tan ◽  
Ting Yee Lim ◽  
Chin Wei Bong ◽  
Teik Kooi Liew
Keyword(s):  
Student Achievement ◽  
Evolutionary Algorithm ◽  
Soft Computing ◽  
Real World ◽  
Classification Accuracy ◽  
Content Type ◽  
Computing Model ◽  
Model Based ◽  
Proposed Model

Purpose The purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA), namely, modified micro genetic algorithm (MmGA) coupled with a decision tree (DT)-based classifier, in classifying and optimising the students’ online interaction activities as classifier of student achievement. Subsequently, the results are transformed into useful information that may help educator in designing better learning instructions geared towards higher student achievement. Design/methodology/approach A soft computing model based on MOEA is proposed. It is tested on benchmark data pertaining to student activities and achievement obtained from the University of California at Irvine machine learning repository. Additional, a real-world case study in a distance learning institution, namely, Wawasan Open University in Malaysia has been conducted. The case study involves a total of 46 courses collected over 24 consecutive weeks with students across the entire regions in Malaysia and worldwide. Findings The proposed model obtains high classification accuracy rates at reduced number of features used. These results are transformed into useful information for the educational institution in our case study in an effort to improve student achievement. Whether benchmark or real-world case study, the proposed model successfully reduced the number features used by at least 48 per cent while achieving higher classification accuracy. Originality/value A soft computing model based on MOEA, namely, MmGA coupled with a DT-based classifier, in handling educational data is proposed.

Age Estimation of Asian Using Soft Computing Model Based on Bone Length of Left Hand

2018 ◽  
Vol 24 (10) ◽  
pp. 7559-7565 ◽  
Author(s):  
Mohd Faaizie Darmawan ◽  
Mohd Zamri Osman ◽  
Kohbalan Moorthy
Keyword(s):  
Soft Computing ◽  
Age Estimation ◽  
Left Hand ◽  
Computing Model ◽  
Model Based ◽  
Bone Length

scholarly journals Soft computing model for students’ evaluation in educational institute

2021 ◽  
Vol 1913 (1) ◽  
pp. 012137
Author(s):  
O K Chaudhari ◽  
Rajshri Gupta ◽  
T A Thakre
Keyword(s):  
Soft Computing ◽  
Computing Model ◽  
Educational Institute

Soft computing model for predicting the wear resistance of friction stir processed aluminum alloy AA5083

2021 ◽  
Author(s):  
K. Santhosh Kumar ◽  
R. Vaira Vignesh ◽  
G. Ajith Kumar ◽  
A. Abiram ◽  
R. Padmanaban
Keyword(s):  
Wear Resistance ◽  
Aluminum Alloy ◽  
Soft Computing ◽  
Friction Stir ◽  
Computing Model

Modelling of municipal solid waste gasification using an optimised ensemble soft computing model

Fuel ◽  
2021 ◽  
Vol 289 ◽  
pp. 119903
Author(s):  
Navid Kardani ◽  
Annan Zhou ◽  
Majidreza Nazem ◽  
Xiaoshan Lin
Keyword(s):  
Municipal Solid Waste ◽  
Solid Waste ◽  
Soft Computing ◽  
Computing Model ◽  
Waste Gasification
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