{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T22:20:42Z","timestamp":1769552442133,"version":"3.49.0"},"reference-count":54,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T00:00:00Z","timestamp":1735171200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T00:00:00Z","timestamp":1735171200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001602","name":"Science Foundation Ireland","doi-asserted-by":"publisher","award":["18\/CRT\/6223"],"award-info":[{"award-number":["18\/CRT\/6223"]}],"id":[{"id":"10.13039\/501100001602","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SN COMPUT. SCI."],"DOI":"10.1007\/s42979-024-03570-1","type":"journal-article","created":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T16:08:06Z","timestamp":1735229286000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Optimizing Mobile Cloud Computing: A Comparative Analysis and Innovative Cost-Efficient Partitioning Model"],"prefix":"10.1007","volume":"6","author":[{"given":"Mushtaq","family":"Ali","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9186-6392","authenticated-orcid":false,"given":"Dost","family":"Muhammad","sequence":"additional","affiliation":[]},{"given":"Osamah Ibrahim","family":"Khalaf","sequence":"additional","affiliation":[]},{"given":"Raja","family":"Habib","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,12,26]]},"reference":[{"issue":"3","key":"3570_CR1","doi-asserted-by":"publisher","first-page":"308","DOI":"10.1145\/2508148.2485949","volume":"41","author":"H Cook","year":"2013","unstructured":"Cook H, Moreto M, Bird S, Dao K, Patterson DA, Asanovic K. A hardware evaluation of cache partitioning to improve utilization and energy-efficiency while preserving responsiveness. ACM SIGARCH Comput Arch News. 2013;41(3):308\u201319.","journal-title":"ACM SIGARCH Comput Arch News"},{"issue":"1","key":"3570_CR2","first-page":"012005","volume":"1018","author":"M Ali","year":"2018","unstructured":"Ali M, Zolkipli MF, Zain JM, Anwar S. Mobile cloud computing with SOAP and REST web services. J Phys Conf Ser. 2018;1018(1):012005.","journal-title":"J Phys Conf Ser."},{"key":"3570_CR3","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.jnca.2014.09.009","volume":"48","author":"J Liu","year":"2015","unstructured":"Liu J, Ahmed E, Shiraz M, Gani A, Buyya R, Qureshi A. Application partitioning algorithms in mobile cloud computing: taxonomy, review and future directions. J Netw Comput Appl. 2015;48:99\u2013117.","journal-title":"J Netw Comput Appl"},{"issue":"3","key":"3570_CR4","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1109\/TCC.2015.2513404","volume":"6","author":"J Barrameda","year":"2015","unstructured":"Barrameda J, Samaan N. A novel statistical cost model and an algorithm for efficient application offloading to clouds. IEEE Trans Cloud Comput. 2015;6(3):598\u2013611.","journal-title":"IEEE Trans Cloud Comput"},{"issue":"1","key":"3570_CR5","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1109\/TCC.2019.2952346","volume":"10","author":"J Lu","year":"2019","unstructured":"Lu J, et al. A multi-task oriented framework for mobile computation offloading. IEEE Trans Cloud Comput. 2019;10(1):187\u2013201.","journal-title":"IEEE Trans Cloud Comput"},{"issue":"1","key":"3570_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.aci.2016.11.002","volume":"14","author":"K Akherfi","year":"2018","unstructured":"Akherfi K, Gerndt M, Harroud H. Mobile cloud computing for computation offloading: Issues and challenges. Appl Comput Inform. 2018;14(1):1\u201316.","journal-title":"Appl Comput Inform"},{"key":"3570_CR7","doi-asserted-by":"publisher","first-page":"115843","DOI":"10.1109\/ACCESS.2019.2936208","volume":"7","author":"Y Fan","year":"2019","unstructured":"Fan Y, Zhai L, Wang H. Cost-efficient dependent task offloading for multiusers. IEEE Access. 2019;7:115843\u201356.","journal-title":"IEEE Access"},{"key":"3570_CR8","doi-asserted-by":"crossref","unstructured":"Liu X, Guo S, Yang Y. Task offloading with execution cost minimization in heterogeneous mobile cloud computing. In: Mobile Ad-hoc and Sensor Networks: 13th International Conference, MSN 2017, Beijing, China, December 17-20, 2017, Revised Selected Papers 13, Springer, pp. 509\u2013522. 2018.","DOI":"10.1007\/978-981-10-8890-2_39"},{"key":"3570_CR9","doi-asserted-by":"crossref","unstructured":"Shi C, Habak K, Pandurangan P, Ammar M, Naik M, Zegura E. COSMOS: computation offloading as a service for mobile devices. In: Proceedings of the 15th ACM international symposium on Mobile ad hoc networking and computing, pp. 287\u2013296. 2014.","DOI":"10.1145\/2632951.2632958"},{"key":"3570_CR10","doi-asserted-by":"publisher","first-page":"978","DOI":"10.1007\/s11227-013-1076-7","volume":"68","author":"M Shiraz","year":"2014","unstructured":"Shiraz M, Gani A. A lightweight active service migration framework for computational offloading in mobile cloud computing. J Supercomput. 2014;68:978\u201395.","journal-title":"J Supercomput"},{"key":"3570_CR11","doi-asserted-by":"crossref","unstructured":"Grewe D, O\u2019Boyle MF. A static task partitioning approach for heterogeneous systems using OpenCL. In: Compiler Construction: 20th International Conference, CC 2011, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2011, Saarbr\u00fccken, Germany, March 26\u2013April 3, 2011. Proceedings 20, Springer, pp. 286\u2013305. 2011.","DOI":"10.1007\/978-3-642-19861-8_16"},{"issue":"7","key":"3570_CR12","doi-asserted-by":"publisher","first-page":"1464","DOI":"10.1109\/TPDS.2019.2891695","volume":"30","author":"H Wu","year":"2019","unstructured":"Wu H, Knottenbelt WJ, Wolter K. An efficient application partitioning algorithm in mobile environments. IEEE Trans Parallel Distrib Syst. 2019;30(7):1464\u201380.","journal-title":"IEEE Trans Parallel Distrib Syst"},{"key":"3570_CR13","doi-asserted-by":"crossref","unstructured":"Wu H, Knottenbelt W, Wolter K, Sun Y. An optimal offloading partitioning algorithm in mobile cloud computing. In: Quantitative Evaluation of Systems: 13th International Conference, QEST 2016, Quebec City, QC, Canada, August 23-25, 2016, Proceedings 13. Springer, pp. 311\u2013328. 2016.","DOI":"10.1007\/978-3-319-43425-4_21"},{"key":"3570_CR14","doi-asserted-by":"publisher","first-page":"185131","DOI":"10.1109\/ACCESS.2019.2960887","volume":"7","author":"G Li","year":"2019","unstructured":"Li G, Lin Q, Wu J, Zhang Y, Yan J. Dynamic computation offloading based on graph partitioning in mobile edge computing. IEEE Access. 2019;7:185131\u20139.","journal-title":"IEEE Access"},{"key":"3570_CR15","unstructured":"Ou S, Yang K, Liotta A. An adaptive multi-constraint partitioning algorithm for offloading in pervasive systems. In: Fourth Annual IEEE International Conference on Pervasive Computing and Communications (PERCOM'06), IEEE, pp. 10\u2013125. 2006."},{"key":"3570_CR16","doi-asserted-by":"crossref","unstructured":"Rakocevic V, Griffiths JM, Cope G. Dynamic partitioning of link bandwidth in IP\/MPLS networks. In: ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No. 01CH37240), vol. 9: IEEE, pp. 2918\u20132922. 2001.","DOI":"10.1109\/ICC.2001.936683"},{"issue":"22","key":"3570_CR17","doi-asserted-by":"publisher","first-page":"2797","DOI":"10.3390\/electronics10222797","volume":"10","author":"A Lakhan","year":"2021","unstructured":"Lakhan A, et al. Dynamic application partitioning and task-scheduling secure schemes for biosensor healthcare workload in mobile edge cloud. Electronics. 2021;10(22):2797.","journal-title":"Electronics"},{"issue":"1","key":"3570_CR18","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1186\/s13677-022-00365-8","volume":"11","author":"H Chen","year":"2022","unstructured":"Chen H, Qin W, Wang L. Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a survey. J Cloud Comput. 2022;11(1):86.","journal-title":"J Cloud Comput"},{"key":"3570_CR19","doi-asserted-by":"publisher","first-page":"27591","DOI":"10.1109\/ACCESS.2022.3152787","volume":"10","author":"LA Haibeh","year":"2022","unstructured":"Haibeh LA, Yagoub MC, Jarray A. A survey on mobile edge computing infrastructure: design, resource management, and optimization approaches. IEEE Access. 2022;10:27591\u2013610.","journal-title":"IEEE Access"},{"key":"3570_CR20","doi-asserted-by":"crossref","unstructured":"Kovachev D, Yu T, Klamma R. Adaptive computation offloading from mobile devices into the cloud. In: 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications, IEEE, pp. 784\u2013791. 2012.","DOI":"10.1109\/ISPA.2012.115"},{"issue":"3","key":"3570_CR21","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1109\/MCOM.2015.7060486","volume":"53","author":"H Flores","year":"2015","unstructured":"Flores H, Hui P, Tarkoma S, Li Y, Srirama S, Buyya R. Mobile code offloading: from concept to practice and beyond. IEEE Commun Mag. 2015;53(3):80\u20138.","journal-title":"IEEE Commun Mag"},{"issue":"2","key":"3570_CR22","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0056936","volume":"8","author":"M Kwon","year":"2013","unstructured":"Kwon M, et al. Development and validation of a smartphone addiction scale (SAS). PLoS One. 2013;8(2): e56936.","journal-title":"PLoS One"},{"issue":"3","key":"3570_CR23","doi-asserted-by":"publisher","first-page":"946","DOI":"10.1007\/s11227-012-0846-y","volume":"63","author":"M Shiraz","year":"2013","unstructured":"Shiraz M, Abolfazli S, Sanaei Z, Gani A. A study on virtual machine deployment for application outsourcing in mobile cloud computing. J Supercomput. 2013;63(3):946\u201364.","journal-title":"J Supercomput"},{"key":"3570_CR24","doi-asserted-by":"crossref","unstructured":"Yang X-S. Bat algorithm: literature review and applications. 2013. arXiv:1308.3900","DOI":"10.1504\/IJBIC.2013.055093"},{"issue":"1","key":"3570_CR25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s10723-014-9323-6","volume":"13","author":"M Shiraz","year":"2015","unstructured":"Shiraz M, Gani A, Shamim A, Khan S, Ahmad RW. Energy efficient computational offloading framework for mobile cloud computing. J Grid Comput. 2015;13(1):1\u201318.","journal-title":"J Grid Comput"},{"key":"3570_CR26","doi-asserted-by":"crossref","unstructured":"Sinha K, Kulkarni M. Techniques for fine-grained, multi-site computation offloading. In: 2011 11th IEEE\/ACM International Symposium on Cluster, Cloud and Grid Computing. IEEE, pp. 184\u2013194. 2011.","DOI":"10.1109\/CCGrid.2011.69"},{"key":"3570_CR27","doi-asserted-by":"crossref","unstructured":"Shuja J, et al. Towards native code offloading based MCC frameworks for multimedia applications: a survey. J Netw Comput Appl. 2016.","DOI":"10.1016\/j.jnca.2016.08.021"},{"key":"3570_CR28","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1016\/j.procs.2019.09.472","volume":"160","author":"NV Jungum","year":"2019","unstructured":"Jungum NV, Mohamudally N, Nissanke N. Application partitioning for offloading in mobile pervasive environments. Proc Comput Sci. 2019;160:206\u201313.","journal-title":"Proc Comput Sci"},{"key":"3570_CR29","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1007\/s11036-012-0368-0","volume":"18","author":"K Kumar","year":"2013","unstructured":"Kumar K, Liu J, Lu Y-H, Bhargava B. A survey of computation offloading for mobile systems. Mob Netw Appl. 2013;18:129\u201340.","journal-title":"Mob Netw Appl"},{"issue":"5","key":"3570_CR30","doi-asserted-by":"publisher","first-page":"4171","DOI":"10.1109\/JIOT.2019.2943176","volume":"7","author":"A Yousafzai","year":"2019","unstructured":"Yousafzai A, Yaqoob I, Imran M, Gani A, Noor RM. Process migration-based computational offloading framework for IoT-supported mobile edge\/cloud computing. IEEE Internet Things J. 2019;7(5):4171\u201382.","journal-title":"IEEE Internet Things J"},{"key":"3570_CR31","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1016\/j.future.2023.10.004","volume":"151","author":"W Qin","year":"2024","unstructured":"Qin W, Chen H, Wang L, Xia Y, Nascita A, Pescap\u00e8 A. MCOTM: mobility-aware computation offloading and task migration for edge computing in industrial IoT. Fut Gen Comput Syst. 2024;151:232\u201341.","journal-title":"Fut Gen Comput Syst"},{"key":"3570_CR32","doi-asserted-by":"crossref","unstructured":"Huang H, Zhan W, Min G, Duan Z, Peng K. Mobility-aware computation offloading with load balancing in smart city networks using MEC federation. IEEE Trans Mob Comput. 2024.","DOI":"10.1109\/TMC.2024.3376377"},{"issue":"3","key":"3570_CR33","doi-asserted-by":"publisher","first-page":"3341","DOI":"10.1109\/TVT.2020.2966500","volume":"69","author":"W Zhan","year":"2020","unstructured":"Zhan W, Luo C, Min G, Wang C, Zhu Q, Duan H. Mobility-aware multi-user offloading optimization for mobile edge computing. IEEE Trans Veh Technol. 2020;69(3):3341\u201356.","journal-title":"IEEE Trans Veh Technol"},{"key":"3570_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2024.100656","volume":"53","author":"P Peng","year":"2024","unstructured":"Peng P, et al. A survey on computation offloading in edge systems: from the perspective of deep reinforcement learning approaches. Comput Sci Review. 2024;53: 100656.","journal-title":"Comput Sci Review"},{"key":"3570_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110352","volume":"245","author":"Y Guo","year":"2024","unstructured":"Guo Y, Xu X, Xiao F. MADRLOM: a Computation offloading mechanism for software-defined cloud-edge computing power network. Comput Netw. 2024;245: 110352.","journal-title":"Comput Netw"},{"key":"3570_CR36","doi-asserted-by":"crossref","unstructured":"Hasan MK, et al. Federated learning for computational offloading and resource management of vehicular edge computing in 6G-V2X network. IEEE Trans Consum Electron. 2024.","DOI":"10.1109\/TCE.2024.3357530"},{"key":"3570_CR37","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1016\/j.future.2019.09.035","volume":"102","author":"Y Miao","year":"2020","unstructured":"Miao Y, Wu G, Li M, Ghoneim A, Al-Rakhami M, Hossain MS. Intelligent task prediction and computation offloading based on mobile-edge cloud computing. Fut Gen Comput Syst. 2020;102:925\u201331.","journal-title":"Fut Gen Comput Syst"},{"issue":"9","key":"3570_CR38","doi-asserted-by":"publisher","first-page":"9408","DOI":"10.1109\/TVT.2021.3099303","volume":"70","author":"H Feng","year":"2021","unstructured":"Feng H, Guo S, Yang L, Yang Y. Collaborative data caching and computation offloading for multi-service mobile edge computing. IEEE Trans Veh Technol. 2021;70(9):9408\u201322.","journal-title":"IEEE Trans Veh Technol"},{"issue":"8","key":"3570_CR39","doi-asserted-by":"publisher","first-page":"7944","DOI":"10.1109\/TVT.2019.2917890","volume":"68","author":"J Zhao","year":"2019","unstructured":"Zhao J, Li Q, Gong Y, Zhang K. Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks. IEEE Trans Veh Technol. 2019;68(8):7944\u201356.","journal-title":"IEEE Trans Veh Technol"},{"issue":"9","key":"3570_CR40","doi-asserted-by":"publisher","first-page":"5725","DOI":"10.1109\/TWC.2023.3235997","volume":"22","author":"W Liu","year":"2023","unstructured":"Liu W, Li B, Xie W, Dai Y, Fei Z. Energy efficient computation offloading in aerial edge networks with multi-agent cooperation. IEEE Trans Wirel Commun. 2023;22(9):5725\u201339.","journal-title":"IEEE Trans Wirel Commun"},{"issue":"5","key":"3570_CR41","doi-asserted-by":"publisher","first-page":"2445","DOI":"10.3390\/s23052445","volume":"23","author":"MS Kumar","year":"2023","unstructured":"Kumar MS, Karri GR. Eeoa: cost and energy efficient task scheduling in a cloud-fog framework. Sensors. 2023;23(5):2445.","journal-title":"Sensors"},{"key":"3570_CR42","doi-asserted-by":"crossref","unstructured":"Khademi Dehnavi M, Broumandnia A, Hosseini Shirvani M, Ahanian I. A hybrid genetic-based task scheduling algorithm for cost-efficient workflow execution in heterogeneous cloud computing environment. Cluster Comput. 2024;1\u201326","DOI":"10.1007\/s10586-024-04468-6"},{"key":"3570_CR43","unstructured":"Wu Y, et al. Google's neural machine translation system: bridging the gap between human and machine translation. 2016. arXiv:1609.08144."},{"key":"3570_CR44","unstructured":"Teka FA. Seamless live virtual machine migration for cloudlet users with. Carleton University Ottawa. 2014."},{"issue":"8","key":"3570_CR45","doi-asserted-by":"publisher","first-page":"3573","DOI":"10.1109\/TNNLS.2017.2732482","volume":"29","author":"SH Khan","year":"2017","unstructured":"Khan SH, Hayat M, Bennamoun M, Sohel FA, Togneri R. Cost-sensitive learning of deep feature representations from imbalanced data. IEEE Trans Neural Netw Learn Syst. 2017;29(8):3573\u201387.","journal-title":"IEEE Trans Neural Netw Learn Syst"},{"issue":"3","key":"3570_CR46","doi-asserted-by":"publisher","first-page":"4897","DOI":"10.1007\/s11277-017-4757-3","volume":"97","author":"M Othman","year":"2017","unstructured":"Othman M, Khan AN, Shuja J, Mustafa S. Computation offloading cost estimation in mobile cloud application models. Wirel Pers Commun. 2017;97(3):4897\u2013920.","journal-title":"Wirel Pers Commun"},{"issue":"1","key":"3570_CR47","first-page":"393","volume":"16","author":"M Othman","year":"2013","unstructured":"Othman M, Madani SA, Khan SU. A survey of mobile cloud computing application models. IEEE Commun Surv Tutor. 2013;16(1):393\u2013413.","journal-title":"IEEE Commun Surv Tutor"},{"issue":"2","key":"3570_CR48","first-page":"1","volume":"53","author":"P Cong","year":"2020","unstructured":"Cong P, Zhou J, Li L, Cao K, Wei T, Li K. A survey of hierarchical energy optimization for mobile edge computing: a perspective from end devices to the cloud. ACM Comput Surv (CSUR). 2020;53(2):1\u201344.","journal-title":"ACM Comput Surv (CSUR)"},{"issue":"11","key":"3570_CR49","doi-asserted-by":"publisher","first-page":"7519","DOI":"10.1109\/TWC.2021.3085319","volume":"20","author":"S Bi","year":"2021","unstructured":"Bi S, Huang L, Wang H, Zhang Y-JA. Lyapunov-guided deep reinforcement learning for stable online computation offloading in mobile-edge computing networks. IEEE Trans Wirel Commun. 2021;20(11):7519\u201337.","journal-title":"IEEE Trans Wirel Commun"},{"issue":"3","key":"3570_CR50","doi-asserted-by":"publisher","first-page":"1628","DOI":"10.1109\/COMST.2017.2682318","volume":"19","author":"P Mach","year":"2017","unstructured":"Mach P, Becvar Z. Mobile edge computing: a survey on architecture and computation offloading. IEEE Commun Surv Tutor. 2017;19(3):1628\u201356.","journal-title":"IEEE Commun Surv Tutor"},{"key":"3570_CR51","doi-asserted-by":"publisher","first-page":"131543","DOI":"10.1109\/ACCESS.2019.2938660","volume":"7","author":"C Jiang","year":"2019","unstructured":"Jiang C, Cheng X, Gao H, Zhou X, Wan J. Toward computation offloading in edge computing: a survey. IEEE Access. 2019;7:131543\u201358.","journal-title":"IEEE Access"},{"key":"3570_CR52","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2021.102225","volume":"118","author":"A Islam","year":"2021","unstructured":"Islam A, Debnath A, Ghose M, Chakraborty S. A survey on task offloading in multi-access edge computing. J Syst Architect. 2021;118: 102225.","journal-title":"J Syst Architect"},{"issue":"3","key":"3570_CR53","doi-asserted-by":"publisher","first-page":"402","DOI":"10.3390\/sym13030402","volume":"13","author":"J Almutairi","year":"2021","unstructured":"Almutairi J, Aldossary M. Modeling and analyzing offloading strategies of IoT applications over edge computing and joint clouds. Symmetry. 2021;13(3):402.","journal-title":"Symmetry"},{"key":"3570_CR54","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1016\/j.future.2019.08.012","volume":"102","author":"G Ismayilov","year":"2020","unstructured":"Ismayilov G, Topcuoglu HR. Neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing. Fut Gen Comput Syst. 2020;102:307\u201322.","journal-title":"Fut Gen Comput Syst"}],"container-title":["SN Computer Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03570-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s42979-024-03570-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s42979-024-03570-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,26]],"date-time":"2024-12-26T17:06:05Z","timestamp":1735232765000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s42979-024-03570-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,26]]},"references-count":54,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,1]]}},"alternative-id":["3570"],"URL":"https:\/\/doi.org\/10.1007\/s42979-024-03570-1","relation":{},"ISSN":["2661-8907"],"issn-type":[{"value":"2661-8907","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,26]]},"assertion":[{"value":"3 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 November 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 December 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no potential conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of Interest"}},{"value":"Not Applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Research Involving Humans and Animals"}}],"article-number":"43"}}