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 Enhancement of Accuracy Level in Parking Space Identification by using Machine Learning Algorithms Subject The topic of the resource Accuracy; Computer Vision; Convolutional Neural Networks; Deep Learning; Machine Learning; Support Vector Machine Description An account of the resource Parking space identification is a crucial component in the development of intelligent transportation systems and smart cities. Accurate detection of parking spaces in urban areas can significantly improve traffic management, reduce congestion, and enhance overall parking efficiency. This proposed model is focuses on enhancing the accuracy of parking space identification through the utilization of Support Vector Machine (SVM) algorithms. The proposed methodology involves the following steps. First, a dataset comprising labelled parking space images is collected and pre-processed to ensure optimal quality and consistency. Next, feature extraction techniques are applied to capture certain relevant spatial and textural information from the images in the dataset, enabling the creation of informative feature vectors. These feature vectors are then utilized to train a SVM model, which is well-known for its capability to handle complex classification tasks. To measure the effectiveness of the SVM-based approach, a comprehensive set of experiments is carried out using real-world parking data. The performance metrics is to analysis accuracy level of the parking space identification. Comparative analysis has been done by comparing the proposed SVM approach with other popular machine learning algorithmsto demonstrate the superiority. The results indicate that the SVM-based model achieves a significantly higher accuracy level in parking space identification compared to other existing algorithms. 2023 IEEE. Creator An entity primarily responsible for making the resource Diniz A.M.; Samanta D.; Jayapandian N. Source A related resource from which the described resource is derived 2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 595-600. 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/ICACRS58579.2023.10404454" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICACRS58579.2023.10404454</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185373931&amp;doi=10.1109%2FICACRS58579.2023.10404454&amp;partnerID=40&amp;md5=d6c76b583efaa5752d21a459696bc5fc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185373931&amp;doi=10.1109%2fICACRS58579.2023.10404454&amp;partnerID=40&amp;md5=d6c76b583efaa5752d21a459696bc5fc</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835034023-5 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 Diniz A.M., Department of CSE, CHRIST (Deemed to be University), India; Samanta D., Department of CSE, CHRIST (Deemed to be University), India; Jayapandian N., Department of CSE, CHRIST (Deemed to be University), India