Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm
Knowledge is the most basic and important principle for students. Students can be classified based on knowledge. This classification is based on students' abilities and activities. Since MsC students need to receive scholarships to other countries to gain more knowledge, it is essential to prov...
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| Format: | Article |
| Language: | English |
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Bilijipub publisher
2022-12-01
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| Series: | Advances in Engineering and Intelligence Systems |
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| Online Access: | https://aeis.bilijipub.com/article_163965_83754f9c63ff7d75de756b350dccd1cf.pdf |
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| author | Dorota Mozyrska Ewa Pawluszewicz |
| author_facet | Dorota Mozyrska Ewa Pawluszewicz |
| author_sort | Dorota Mozyrska |
| collection | DOAJ |
| description | Knowledge is the most basic and important principle for students. Students can be classified based on knowledge. This classification is based on students' abilities and activities. Since MsC students need to receive scholarships to other countries to gain more knowledge, it is essential to provide a decision management and knowledge management system. Therefore, there is a need for a data set of students' information in order to perform a data mining process in order to find those elite students based on their activities and abilities of students and recommend them scholarships. Therefore, the present research tries to present such a system which is based on Natural Language Processing (NLP), feature extraction operations with Particle Swarm Optimization (PSO) algorithm and finally offers suggestions with deep Convolutional Neural Network (CNN). The results show that the accuracy of the proposed approach is higher than previous methods. |
| format | Article |
| id | doaj-art-437224c3bd654f13839b43178c99ddf9 |
| institution | Kabale University |
| issn | 2821-0263 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Bilijipub publisher |
| record_format | Article |
| series | Advances in Engineering and Intelligence Systems |
| spelling | doaj-art-437224c3bd654f13839b43178c99ddf92025-02-12T08:46:40ZengBilijipub publisherAdvances in Engineering and Intelligence Systems2821-02632022-12-0100104628110.22034/aeis.2022.369500.1054163965Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization AlgorithmDorota Mozyrska0Ewa Pawluszewicz1Faculty of Computer Science, Bialystok University of Technology, Bialystok, 15351, PolandFaculty of Mechanical Engineering, Bialystok University of Technology, Bialystok, 15351, PolandKnowledge is the most basic and important principle for students. Students can be classified based on knowledge. This classification is based on students' abilities and activities. Since MsC students need to receive scholarships to other countries to gain more knowledge, it is essential to provide a decision management and knowledge management system. Therefore, there is a need for a data set of students' information in order to perform a data mining process in order to find those elite students based on their activities and abilities of students and recommend them scholarships. Therefore, the present research tries to present such a system which is based on Natural Language Processing (NLP), feature extraction operations with Particle Swarm Optimization (PSO) algorithm and finally offers suggestions with deep Convolutional Neural Network (CNN). The results show that the accuracy of the proposed approach is higher than previous methods.https://aeis.bilijipub.com/article_163965_83754f9c63ff7d75de756b350dccd1cf.pdfknowledge managementdecision managementscholarshipstudents classificationdeep learningnatural language processing |
| spellingShingle | Dorota Mozyrska Ewa Pawluszewicz Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm Advances in Engineering and Intelligence Systems knowledge management decision management scholarship students classification deep learning natural language processing |
| title | Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm |
| title_full | Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm |
| title_fullStr | Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm |
| title_full_unstemmed | Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm |
| title_short | Scholarships Determination to Talented Students Based on Academic Characteristics with Deep Learning Approach and Particle Swarm Optimization Algorithm |
| title_sort | scholarships determination to talented students based on academic characteristics with deep learning approach and particle swarm optimization algorithm |
| topic | knowledge management decision management scholarship students classification deep learning natural language processing |
| url | https://aeis.bilijipub.com/article_163965_83754f9c63ff7d75de756b350dccd1cf.pdf |
| work_keys_str_mv | AT dorotamozyrska scholarshipsdeterminationtotalentedstudentsbasedonacademiccharacteristicswithdeeplearningapproachandparticleswarmoptimizationalgorithm AT ewapawluszewicz scholarshipsdeterminationtotalentedstudentsbasedonacademiccharacteristicswithdeeplearningapproachandparticleswarmoptimizationalgorithm |