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 Faculty Publications 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/. Creator An entity primarily responsible for making the resource Singh, Davinder Paul; Rani, Rozy; Sindhu, V.; Revathi, V.M.; Kosalairaman, T.; Paul, P. Mano Title A name given to the resource An Intelligent Approach for Breast Cancer Diagnosis Using Fuzzy Logic and Extreme Learning Machine Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived 2025 Global Conference on Information Technology and Communication Networks, GITCON 2025; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/GITCON65266.2025.11377847" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/GITCON65266.2025.11377847</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105035604073?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105035604073?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh D.P., Department of Computer Science and Engineering, School of Technology, Pandit Deendayal Energy University, Gujarat, Gandhinagar, India; Rani R., Applied Sciences, Chandigarh Group of Colleges Jhanjeri, Chandigarh Engineering College, Punjab, Mohali, India; Sindhu V., Department of Computer Science, Christ University, Karnataka, Bangalore, India; Revathi V.M., Department of Mathematics, Bannari Amman Institute of Technology, Sathyamangalam, Erode, India; Kosalairaman T., Department of Information Technology, V. S. B. Engineering College, Tamilnadu, Karur, India; Paul P.M., Department of CSE, Artificial Intelligence, Dayananda Sagar Academy of Technology and Management, Karnataka, Udayapura, India Description An account of the resource The long-term prognosis and mortality rates can be improved with early identification of breast cancer. The time-consuming and expensive procedures of mammography, MRI, ultrasound, CT, PT, and biopsy have been the subject of much research; nevertheless, these approaches are not suitable for younger women and can be rather expensive. This study employed cutting-edge image processing to improve early breast cancer detection. The researchers utilised anisotropic filtering to reduce background noise in medical images after picking mammograms at random from the Digital Database for Screening Mammography. The use of morphology-based feature extraction allowed for autonomous and accurate categorisation after mass segmentation using a genetic algorithm with recurrent thresholding. By merging a KF with an ELM enhanced with an AV, a new model named KF-av-elm improves diagnostic accuracy. Medical imaging noise and estimating errors are both significantly reduced by the combination method. Their accuracy rating of 98.28% allowed them to outperform other approaches. The KF-av-elm model appears to be a reliable, efficient, and effective diagnostic tool; its adoption may lead to better identification and outcomes for breast cancer patients. 2025 IEEE. Subject The topic of the resource African Vultures Optimization Algorithm (AVOA); Breast Cancer (BC); Deoxyribonucleic Acid (DNA); Genetic Algorithm (GA); Kalman filter (KF) Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833153348-9; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online