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 Chebbi, Nandan; Mahashabe, Roshan Balaji; Nandi, Somesh; Kumar, Sandeep; Jayanthi, P.N.; Sahana, B. Title A name given to the resource K-Nearest Neighbor Optimization of Silver-Graphene Fiber Optic Sensor for Lung Cancer Detection 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 Smart Innovation, Systems and Technologies;Volume;121 SIST;pp.461-473 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-6254-8_35" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-6254-8_35</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018909230?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018909230?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 Chebbi N., Department of ECE, RV College of Engineering, Bengaluru, India; Mahashabe R.B., Department of ECE, RV College of Engineering, Bengaluru, India; Nandi S., Department of AIML, RV College of Engineering, Bengaluru, India; Kumar S., Department of CSE, Christ University, Bengaluru, India; Jayanthi P.N., Department of ECE, RV College of Engineering, Bengaluru, India; Sahana B., Department of ECE, RV College of Engineering, Bengaluru, India Description An account of the resource At nearly 1.8 million deaths annually, lung cancer is among the world's top causes of mortality. Cancer is curable up to a point, after which recovery is extremely challenging. Preventing cancer requires early cancer detection, which localized surface plasmon resonance (LSPR)-based sensors high sensitivity. The phenomenon known as localized surface plasmon resonance (LSPR) occurs when nanoparticles resonate with light at certain wavelengths, leading to the development of characteristics including quick reaction times, adjustable resonance, high sensitivity, and localized light-matter interaction. Since silver-graphene has qualities that make it perfect for cancer detection, it is selected as the material composition. The silver-graphene sensor is utilized for detecting CL1-5 and A549 cell lines, for which the peak of the extinction coefficients was found to be 2.7169 and 1.8592, with a sensitivity of 107 RIU. The Silver-Graphene LSPR sensor interaction with cell lines generated a novel dataset, for which K-Nearest Neighbor Regression has been chosen due to its adaptability and robustness to outliers and has been used to improve the functionality of the sensor by optimizing sensor design, improving sensor sensitivity, and reducing experimental time. With a prediction rate of 99%, KNN and the Silver-Graphene LSPR sensor are an excellent combination for early lung cancer diagnosis. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Subject The topic of the resource Biosensing; Graphene dioxide; K-nearest neighbor; Localized surface plasmons; Machine learning; Refractive index sensor; Silver nanoparticles Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 21903018; ISBN: 978-981966253-1; 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