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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Machine Learning and Signal Processing Methodologies to Diagnose Human Knee Joint Disorders: A Computational Analysis Description An account of the resource Computer-aid diagnostic (CAD) has emerged as a highly innovative research topic in diverse fields which includes medical imaging systems, radiology diagnostics, and so on. These are the systems that majorly assist doctors by the way of interpretation of medical data or images. In the diagnosis of knee joint disorder technique, both time and frequency-based analysis can be done. These non-stationary and non-linear signals are processed into three important methods, namely VMD, TVF-EMD, and CEEMDAN. To analyze the vibroarthrographic (VAG) signal, the initial stage is to compute the mode strategies termed as intrinsic mode functions (IMFs) which can be attained only after performing the transformations. In our chapter, we analyzed Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) for computing the mode signals. The CEEMDAN method utilized the time and frequency data for the available features. The feature extraction depends purely on pixel intensity and the statistical parameters. The classification of available data samples is done through the Least Square Support Vector Machine (LS-SVM) and SVM-Recursion of Feature Elimination (SVM-RFE) for the efficient analysis of healthy and unhealthy data samples. 2024 selection and editorial matter, Hemachandran K., Raul V. Rodriguez, Umashankar Subramaniam, and Valentina Emilia Balas; individual chapters, the contributors. Creator An entity primarily responsible for making the resource Murugan R.; Balajee A.; Senbagamalar L.; Aadil M.; Ganie S.M. Source A related resource from which the described resource is derived Artificial Intelligence and Knowledge Processing: Improved Decision-Making and Prediction, pp. 119-130. Publisher An entity responsible for making the resource available CRC Press 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/10.1201/9781003328414-11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003328414-11</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170182501&amp;doi=10.1201%2F9781003328414-11&amp;partnerID=40&amp;md5=1b3de740e5aa2ba1d86c756a5f286978" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170182501&amp;doi=10.1201%2f9781003328414-11&amp;partnerID=40&amp;md5=1b3de740e5aa2ba1d86c756a5f286978</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-100093459-5; 978-103235416-3 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 Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Murugan R., Department of CSE, CHRIST (Deemed to be University), India; Balajee A., Department of Computer Science and Engineering, Srinivasa Ramanujan Centre, SASTRA (Deemed to be University), Kumbakonam, India; Senbagamalar L., Department of Information Technology, Karpagam College of Engineering, Coimbatore, India; Aadil M., School of Computer Science and IT, Jain (Deemed to be University), Bangalore, India; Ganie S.M., Department of Analytics, School of Business, Woxsen University, Hyderabad, India