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 Deep Convolution Neural Network for RBC Images Description An account of the resource The suggested study's objectives are to develop an unique criterion-based method for classifying RBC pictures and to increase classification accuracy by utilizing Deep Convolutional Neural Networks instead of Conventional CNN Algorithm. Materials and Procedures A dataset-master image dataset of 790 pictures is used to apply Deep Convolutional Neural Network. Convolutional Neural Network and Deep Convolutional Neural Network comparison using deep learning has been suggested and developed to improve classification accuracy of RBC pictures. Using Gpower, the sample size was calculated to be 27 for each group. Results: When compared to Convolutional Neural Network, Deep Convolutional Neural Network had the highest accuracy in classifying blood cell pictures (95.2%) and the lowest mean error (85.8 percent). Between the classifiers, there is a statistically significant difference of p=0.005. The study demonstrates that Deep Convolutional Neural Networks perform more accurately than Conventional Neural Networks while classifying photos of blood cells[1]. 2022 IEEE. Creator An entity primarily responsible for making the resource Jatothu R.; Sireesha A.; Ganesh Kumar R.; Joshi K. Source A related resource from which the described resource is derived Proceedings of the 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2022 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 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICSES55317.2022.9914363" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICSES55317.2022.9914363</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141509644&amp;doi=10.1109%2FICSES55317.2022.9914363&amp;partnerID=40&amp;md5=d65965765f824ef5bb506cb67c2c119f" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141509644&amp;doi=10.1109%2fICSES55317.2022.9914363&amp;partnerID=40&amp;md5=d65965765f824ef5bb506cb67c2c119f</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547413-9 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 Jatothu R., Teegala Krishna Reddy Engineering College, Department of CSE, Hyderabad, India; Sireesha A., Teegala Krishna Reddy Engineering College, Computer Science and Engineering; Ganesh Kumar R., CHRIST (Deemed to Be University), School of Engineering and Technology, Department of Computer Science and Engineering, Kanminike, Bangalore, 560 074, India; Joshi K., Uttaranchal University, India