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 Predictive Analysis of Academic Performance Among Students using A-CNN-BiLSTM Approach Subject The topic of the resource Academic Performance; Convolutional Neural Networks (CNN); Minimum Redundancy Maximum Relevance (mRMR) Description An account of the resource The number of possibilities to analyze educational data using data mining techniques is expanding, with the goal of improving learning outcomes. There is an explosion in data produced by online and virtual education, e-learning platforms, and institutional IT. Using these statistics, teachers could gain valuable insights into their students' learning habits. Academic performance of students and other useful information can be analyzed with the help of educational data mining. Model training consists of three primary steps: data preprocessing, feature selection, and training the model. To eliminate unwanted problems like noise and redundant attributes, data preparation is necessary. By prioritizing which features to calculate, the mRMR algorithm lowers calculation costs. Feature selection plays a crucial role in training A-CNN-BiLSTM models. The suggested approach routinely outperforms BiLSTM and CNN, two state-of-the-art algorithms. With a data accuracy percentage of 96.57%, it's clear that there was a significant improvement. 2024 IEEE. Creator An entity primarily responsible for making the resource Nishant N.; Magadum A.; Pandey V.; Suganthi D.; Rashmi Bh.; Vigneshwaran K. Source A related resource from which the described resource is derived 2024 2nd World Conference on Communication and Computing, WCONF 2024 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 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/WCONF61366.2024.10692223" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/WCONF61366.2024.10692223</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207377888&amp;doi=10.1109%2FWCONF61366.2024.10692223&amp;partnerID=40&amp;md5=4d45f9a5dec15d1dd1f43576aaa5b829" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207377888&amp;doi=10.1109%2fWCONF61366.2024.10692223&amp;partnerID=40&amp;md5=4d45f9a5dec15d1dd1f43576aaa5b829</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835039532-7 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 Nishant N., Department of CSE, School of Engineering, Babu Banarasi Das University, Lucknow, India; Magadum A., Department of MCA, MIT-ADT University, College of Management, Maharashtra, Pune, India; Pandey V., Amity University, Patna, India; Suganthi D., Department of Computational Intelligence, Saveetha College of Liberal Arts and Sciences, SIMATS, Chennai, India; Rashmi Bh., School of Business and Management, Christ University, Bengaluru, India; Vigneshwaran K., Department of ECE, K.Ramakrishnan College of Engineering, Trichy, India