Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Student's Performance Prediction Using Modified PSO Subject The topic of the resource Bag-of-features; Machine Learning Algorithm; Optimization techniques; Student Performance Description An account of the resource In the present-day education system, evaluating students' performance is very important. The prediction of student performance is helpful to students and instructors in maintaining a student's progress. Presently, institutions are implementing Continuous Evaluation Systems. This system is beneficial for improving the students' performance and helps increase their regularity in their studies. This work proposed a new version of the particle swarm optimization algorithm to classify students into different categories based on their performance with the help of various factors. The proposed model modified the strategy to increase the optimization algorithm's efficiency. This model deals with the bag of features with the modified optimization algorithm to recognize students' performance based on 33 features. These features are used for training, validation, and testing of the student's performance and generate a classification report which includes F-measure, recall, precision, and accuracy. Based on the classification report, the proposed model is compared with the existing methods, and the better performance of the proposed model is ascertained. 2023 IEEE. Creator An entity primarily responsible for making the resource Kumari R.; Kumar S. Source A related resource from which the described resource is derived Proceedings - 2023 IEEE World Conference on Applied Intelligence and Computing, AIC 2023, pp. 1015-1020. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AIC57670.2023.10263967" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AIC57670.2023.10263967</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174510263&amp;doi=10.1109%2FAIC57670.2023.10263967&amp;partnerID=40&amp;md5=ebc04261d60bf7e802c7cfb4133a117c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174510263&amp;doi=10.1109%2fAIC57670.2023.10263967&amp;partnerID=40&amp;md5=ebc04261d60bf7e802c7cfb4133a117c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835031006-1 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kumari R., Icfai Business School (IBS) Bangalore, Off-Campus Center of Icfai Foundation for Higher Education (IFHE) University, Bangalore, India; Kumar S., Christ (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India