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 Article Faculty Publications -Articles 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 Swain, Kaliprasanna; Tak, Tan Kuan; Upreti, Kamal; Kshirsagar, Pravin R.; Krishnan, Sivaneasan Bala; Poonia, Ramesh Chandra; Mohapatra, Sumant Kumar; Nayak, Soumya Ranjan Title A name given to the resource An improved atom search optimization algorithm based on ranking strategy and sine cosine algorithm for epileptic seizure 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 Signal, Image and Video Processing;Volume;19;Issue;15;Article No.;1315; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/s11760-025-04879-x" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s11760-025-04879-x</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105019701064?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105019701064?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 Swain K., Department of ETC, Trident Academy of Technology, Odisha, Bhubaneswar, 751024, India; Tak T.K., Singapore Institute of Technology, Singapore, Singapore; Upreti K., CHRIST University, Delhi NCR, Ghaziabad, India; Kshirsagar P.R., J D College of Engineering and Management, Maharashtra, Nagpur, India; Krishnan S.B., Singapore Institute of Technology, Singapore, Singapore; Poonia R.C., CHRIST University, Delhi NCR, Ghaziabad, India; Mohapatra S.K., Department of CSE (AI &amp; ML), Dayananda Sagar University School of Engineering, Karnataka, Bengaluru, 562112, India; Nayak S.R., School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT) Deemed to be University, Odisha, Bhubaneswar, 751024, India Description An account of the resource Epilepsy is a serious neurological disorder that remains difficult to detect with high accuracy. Automated seizure detection using EEG signals has gained increasing attention, and optimization algorithms are often applied to improve system performance. Atom Search Optimization (ASO) has strong global search ability but frequently suffers from premature convergence and limited local search efficiency. To address these issues, this study proposes a hybrid algorithm that combines ASO with the SineCosine Algorithm (SCA) and a ranking strategy (RSHASOSCA). ASO provides effective global exploration, SCA enhances local exploitation, and the ranking strategy stabilizes convergence, together creating a more balanced and reliable search process. The method was evaluated on the CHB-MIT scalp EEG dataset. Features were extracted using Wavelet Packet Transform (WPT) and refined with the KruskalWallis test (p ? 0.001). Comparative experiments against twelve established optimization algorithms showed that the RSHASOSCA framework achieved superior performance. When applied with an SVM classifier, it reached 99.13% accuracy and an AUC of 1. These findings highlight the value of integrating ASO, SCA, and ranking strategy, and demonstrate the potential of the proposed framework for reliable and efficient seizure detection in clinical practice. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2025. Subject The topic of the resource Atom search optimization (ASO); Electroencephalogram (EEG) signals; Epileptic seizure detection; KruskalWallis test; Sine cosine algorithm (SCA); Wavelet packet transform (WPT) Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 18631703; Language A language of the resource English Type The nature or genre of the resource Article 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