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 Melanoma Skin Cancer Detection using a CNN-Regularized Extreme Learning Machine (RELM) based Model Subject The topic of the resource Convolutional Neural Network (CNN); Extreme Learning Machine (ELM) and Regularized Extreme Learning Machine (KELM). Description An account of the resource Recent years have brought a heightened awareness of skin cancer as a potentially fatal type of human disease. While all three forms of skin cancer - Melanoma, Basal, and Squamous are terrifying, Melanoma is the most erratic. Melanoma cancer is curable if caught at an early stage. Multiple current systems have demonstrated that computer vision can play a significant role in medical image diagnosis. This study suggests a new approach to picture categorization that can help convolutional neural networks train more quickly (CNN). CNN has seen widespread use in multiclass image classification datasets, but its poor learning performance for huge volumes of data has limited its usefulness. On the other hand, whereas Regularized Extreme Learning Machine (RELM) are capable of rapid learning and have strong generalizability to improve their recognized accuracy quickly. This study introduces a novel CNN-RELM, a novel classifier that integrates convolutional neural networks with regularized extreme learning machines. CNN-RELM begins by training a Convolutional Neural Network (CNN) through the gradient descent technique until the desired learning and target accuracy is achieved. This approach outperforms the CNN and RELM model with an accuracy of around 98.6%. 2023 IEEE. Creator An entity primarily responsible for making the resource Subramanian M.; Walid M.A.A.; Mallick S.P.; Rastogi R.; Chauhan A.; Vidya A. Source A related resource from which the described resource is derived Proceedings of the 2023 2nd International Conference on Electronics and Renewable Systems, ICEARS 2023, pp. 1239-1245. 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/ICEARS56392.2023.10085489" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICEARS56392.2023.10085489</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153390997&amp;doi=10.1109%2FICEARS56392.2023.10085489&amp;partnerID=40&amp;md5=7a8473110d4729646538d05b07f06b19" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153390997&amp;doi=10.1109%2fICEARS56392.2023.10085489&amp;partnerID=40&amp;md5=7a8473110d4729646538d05b07f06b19</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034664-0 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 Subramanian M., Sri Sairam Engineering College, Department of Electronics and Instrumentation Engineering, Tamilnadu, Chennai, India; Walid M.A.A., Khulna University of Engineering and Technology (KUET), Khulna, 9203, Bangladesh; Mallick S.P., Koneru Lakshmaiah Education Foundation, Kl University, Department of Biotechnology, Andhra Pradesh Green Fields, India; Rastogi R., Nielit, Uttara Pradesh, Gorakhpur, India; Chauhan A., Deemed to Be University, Christ, Department of Life Sciences, Karnataka, Bengaluru, India; Vidya A., K. Ramakrishnan College of Engineering, Department of Electronics and Communication Engineering, Tamilnadu, India