{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T02:44:55Z","timestamp":1775616295968,"version":"3.50.1"},"reference-count":48,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T00:00:00Z","timestamp":1653523200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T00:00:00Z","timestamp":1653523200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62101145"],"award-info":[{"award-number":["62101145"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["EURASIP J. Adv. Signal Process."],"published-print":{"date-parts":[[2022,12]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>In this paper, we investigate a multiuser mobile edge computing (MEC)-aided smart Internet of vehicle (IoV) network, where one edge server can help accomplish the intensive calculating tasks from the vehicular users. For the MEC networks, most existing works mainly focus on minimizing the system latency to guarantee the user\u2019s quality of service (QoS) through designing some offloading strategies, which, however, fail to consider the pricing from the server and hence fail to take into account the budget constraint from the users. To address this issue, we jointly incorporate the budget constraint into the system design of the MEC-based IoV networks and then propose a joint deep reinforcement learning (DRL) approach combined with the convex optimization algorithm. Specifically, a deep Q-network (DQN) is firstly used to make the offloading decision, and then, the Lagrange multiplier method is employed to allocate the calculating capability of the server to multiple users. Simulations are finally presented to demonstrate that the proposed schemes outperform the conventional ones. In particular, the proposed scheme can effectively reduce the system latency by up to 56% compared to the conventional schemes.<\/jats:p>","DOI":"10.1186\/s13634-022-00876-1","type":"journal-article","created":{"date-parts":[[2022,5,26]],"date-time":"2022-05-26T13:03:15Z","timestamp":1653570195000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":60,"title":["DQN-based mobile edge computing for smart Internet of vehicle"],"prefix":"10.1186","volume":"2022","author":[{"given":"Lianhong","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenqi","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2787-6582","authenticated-orcid":false,"given":"Junjuan","family":"Xia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chongzhi","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fusheng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengyuan","family":"Fan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiangtao","family":"Ou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,5,26]]},"reference":[{"issue":"4","key":"876_CR1","doi-asserted-by":"publisher","first-page":"3640","DOI":"10.1109\/JIOT.2020.2974045","volume":"7","author":"M Dai","year":"2020","unstructured":"M. Dai, Z. Zheng, S. Zhang, H. Wang, X. Lin, SAZD: a low computational load coded distributed computing framework for iot systems. IEEE Internet Things J. 7(4), 3640\u20133649 (2020)","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"876_CR2","doi-asserted-by":"publisher","first-page":"528","DOI":"10.1109\/JSAC.2014.140313","volume":"32","author":"XB Zhai","year":"2014","unstructured":"X.B. Zhai, L. Zheng, C.W. Tan, Energy-infeasibility tradeoff in cognitive radio networks: Price-driven spectrum access algorithms. IEEE J. Sel. Areas Commun. 32(3), 528\u2013538 (2014)","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"5","key":"876_CR3","first-page":"211","volume":"71","author":"S Tang","year":"2022","unstructured":"S. Tang, Dilated convolution based CSI feedback compression for massive MIMO systems. IEEE Trans. Veh. Technol. 71(5), 211\u2013216 (2022)","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"8","key":"876_CR4","doi-asserted-by":"publisher","first-page":"1763","DOI":"10.1109\/JSAC.2020.3000809","volume":"38","author":"X Hu","year":"2020","unstructured":"X. Hu, C. Zhong, Y. Zhu, X. Chen, Z. Zhang, Programmable metasurface-based multicast systems: Design and analysis. IEEE J. Sel. Areas Commun. 38(8), 1763\u20131776 (2020)","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"12","key":"876_CR5","doi-asserted-by":"publisher","first-page":"7948","DOI":"10.1109\/TCOMM.2020.3020577","volume":"68","author":"X Hu","year":"2020","unstructured":"X. Hu, Y. Zhang, X. Chen, Z. Zhang, Location information aided multiple intelligent reflecting surface systems. IEEE Trans. Commun. 68(12), 7948\u20137962 (2020)","journal-title":"IEEE Trans. Commun."},{"key":"876_CR6","doi-asserted-by":"crossref","unstructured":"B. Li, Z. Na, B. Lin, Uav trajectory planning in harsh environment from a comprehensive energy efficiency perspective. IEEE Network, 1\u20137 (2022)","DOI":"10.1109\/MNET.006.2100697"},{"key":"876_CR7","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1016\/j.jnca.2018.09.018","volume":"126","author":"T Li","year":"2019","unstructured":"T. Li, C. Gao, L. Jiang, W. Pedrycz, J. Shen, Publicly verifiable privacy-preserving aggregation and its application in IoT. J. Netw. Comput. Appl. 126, 39\u201344 (2019)","journal-title":"J. Netw. Comput. Appl."},{"issue":"12","key":"876_CR8","doi-asserted-by":"publisher","first-page":"222303","DOI":"10.1007\/s11432-020-3033-3","volume":"63","author":"X Hu","year":"2020","unstructured":"X. Hu, J. Wang, Statistical CSI based design for intelligent reflecting surface assisted MISO systems. Sci. China Inf. Sci. 63(12), 222303 (2020)","journal-title":"Sci. China Inf. Sci."},{"issue":"1","key":"876_CR9","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1109\/TCOMM.2021.3119075","volume":"70","author":"X Lai","year":"2022","unstructured":"X. Lai, Y. Deng, G.K. Karagiannidis, A. Nallanathan, Secure mobile edge computing networks in the presence of multiple eavesdroppers. IEEE Trans. Commun. 70(1), 500\u2013513 (2022)","journal-title":"IEEE Trans. Commun."},{"issue":"5","key":"876_CR10","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1109\/MNET.001.2100128","volume":"35","author":"N Zhenyu","year":"2021","unstructured":"N. Zhenyu, L. Bowen, L. Xin, W. Jun, Z. Mengshu, L. Yue, M. Beihang, UAV-based wide-area internet of things: An integrated deployment architecture. IEEE Netw. 35(5), 122\u2013128 (2021)","journal-title":"IEEE Netw."},{"issue":"25","key":"876_CR11","first-page":"1","volume":"2021","author":"L Chen","year":"2021","unstructured":"L. Chen, Intelligent ubiquitous computing for future UAV-enabled MEC network systems. Clust. Comput. 2021(25), 1\u201310 (2021)","journal-title":"Clust. Comput."},{"issue":"10","key":"876_CR12","doi-asserted-by":"publisher","first-page":"2353","DOI":"10.1109\/LCOMM.2020.3002557","volume":"24","author":"J Zhang","year":"2020","unstructured":"J. Zhang, Y. Zhang, Z. Zhang, Robust design for intelligent reflecting surfaces assisted MISO systems. IEEE Commun. Lett. 24(10), 2353\u20132357 (2020)","journal-title":"IEEE Commun. Lett."},{"key":"876_CR13","doi-asserted-by":"publisher","first-page":"1045","DOI":"10.1016\/j.ins.2020.09.033","volume":"547","author":"W Lin","year":"2021","unstructured":"W. Lin, T. Yu, C. Gao, F. Liu, T. Li, S. Fong, Y. Wang, A hardware-aware CPU power measurement based on the power-exponent function model for cloud servers. Inf. Sci. 547, 1045\u20131065 (2021)","journal-title":"Inf. Sci."},{"key":"876_CR14","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1016\/j.ins.2021.01.046","volume":"560","author":"L Hu","year":"2021","unstructured":"L. Hu, H. Yan, L. Li, Z. Pan, X. Liu, Z. Zhang, MHAT: an efficient model-heterogenous aggregation training scheme for federated learning. Inf. Sci. 560, 493\u2013503 (2021)","journal-title":"Inf. Sci."},{"key":"876_CR15","first-page":"1","volume":"99","author":"R Zhao","year":"2022","unstructured":"R. Zhao, M. Tang, Profit maximization in cache-aided intelligent computing networks. Phys. Commun. 99, 1\u201310 (2022)","journal-title":"Phys. Commun."},{"key":"876_CR16","first-page":"1","volume":"99","author":"J Lu","year":"2022","unstructured":"J. Lu, M. Tang, Performance analysis for IRS-assisted MEC networks with unit selection. Phys. Commun. 99, 1\u201310 (2022)","journal-title":"Phys. Commun."},{"key":"876_CR17","first-page":"1","volume":"99","author":"Y Wu","year":"2022","unstructured":"Y. Wu, C. Gao, Intelligent task offloading for vehicular edge computing with imperfect CSI: A deep reinforcement approach. Phys. Commun. 99, 1\u201310 (2022)","journal-title":"Phys. Commun."},{"issue":"5","key":"876_CR18","doi-asserted-by":"publisher","first-page":"3391","DOI":"10.1109\/TII.2020.2987421","volume":"17","author":"X Liu","year":"2021","unstructured":"X. Liu, C. Sun, M. Zhou, C. Wu, B. Peng, P. Li, Reinforcement learning-based multislot double-threshold spectrum sensing with bayesian fusion for industrial big spectrum data. IEEE Trans. Ind. Inf. 17(5), 3391\u20133400 (2021). https:\/\/doi.org\/10.1109\/TII.2020.2987421","journal-title":"IEEE Trans. Ind. Inf."},{"key":"876_CR19","doi-asserted-by":"crossref","unstructured":"Lai, X.: Outdated access point selection for mobile edge computing with cochannel interference. IEEE Trans. Veh. Technol. 99, 1\u201312 (2021)","DOI":"10.1109\/TVT.2022.3167405"},{"key":"876_CR20","doi-asserted-by":"crossref","unstructured":"Lu, J.: Analytical offloading design for mobile edge computing based smart internet of vehicle. EURASIP J. Adv. Signal Process. 99, 1\u201310 (2022)","DOI":"10.1186\/s13634-022-00867-2"},{"key":"876_CR21","doi-asserted-by":"publisher","first-page":"101381","DOI":"10.1016\/j.phycom.2021.101381","volume":"47","author":"S Tang","year":"2021","unstructured":"S. Tang, W. Zhou, L. Chen, L. Lai et al., Battery-constrained federated edge learning in UAV-enabled IoT for B5G\/6G networks. Phys. Commun. 47, 101381 (2021)","journal-title":"Phys. Commun."},{"key":"876_CR22","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.future.2020.07.051","volume":"114","author":"Y Liao","year":"2021","unstructured":"Y. Liao, X. Qiao, Q. Yu, Q. Liu, Intelligent dynamic service pricing strategy for multi-user vehicle-aided MEC networks. Future Gener. Comput. Syst. 114, 15\u201322 (2021)","journal-title":"Future Gener. Comput. Syst."},{"issue":"20","key":"876_CR23","doi-asserted-by":"publisher","first-page":"15041","DOI":"10.1109\/JIOT.2020.3004432","volume":"8","author":"Z Na","year":"2021","unstructured":"Z. Na, Y. Liu, J. Shi, C. Liu, Z. Gao, Uav-supported clustered noma for 6g-enabled internet of things: Trajectory planning and resource allocation. IEEE Internet Things J. 8(20), 15041\u201315048 (2021). https:\/\/doi.org\/10.1109\/JIOT.2020.3004432","journal-title":"IEEE Internet Things J."},{"key":"876_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TNSE.2022.3172794","volume":"99","author":"S Tang","year":"2022","unstructured":"S. Tang, L. Chen, Computational intelligence and deep learning for next-generation edge-enabled industrial IoT. IEEE Trans. Netw. Sci. Eng. 99, 1\u201312 (2022)","journal-title":"IEEE Trans. Netw. Sci. Eng."},{"issue":"8","key":"876_CR25","doi-asserted-by":"publisher","first-page":"5379","DOI":"10.1109\/TII.2019.2947435","volume":"16","author":"X Liu","year":"2020","unstructured":"X. Liu, X. Zhang, NOMA-based resource allocation for cluster-based cognitive industrial internet of things. IEEE Trans. Ind. Informat. 16(8), 5379\u20135388 (2020). https:\/\/doi.org\/10.1109\/TII.2019.2947435","journal-title":"IEEE Trans. Ind. Informat."},{"issue":"3","key":"876_CR26","doi-asserted-by":"publisher","first-page":"2398","DOI":"10.1109\/TVT.2017.2771770","volume":"67","author":"F Li","year":"2018","unstructured":"F. Li, K.-Y. Lam, X. Liu, J. Wang, K. Zhao, L. Wang, Joint pricing and power allocation for multibeam satellite systems with dynamic game model. IEEE Trans. Veh. Technol. 67(3), 2398\u20132408 (2018). https:\/\/doi.org\/10.1109\/TVT.2017.2771770","journal-title":"IEEE Trans. Veh. Technol."},{"issue":"2","key":"876_CR27","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1109\/TCOMM.2021.3129902","volume":"70","author":"L He","year":"2022","unstructured":"L. He, K. He, Towards optimally efficient search with deep learning for large-scale MIMO systems. IEEE Trans. Commun. 70(5), 3157\u20133168 (2022)","journal-title":"IEEE Trans. Commun."},{"key":"876_CR28","doi-asserted-by":"crossref","unstructured":"S. Tang, X. Lei, Collaborative Cache-Aided Relaying Networks: Performance Evaluation and System Optimization. IEEE J. Sel. Areas Commun. 1\u201312 (2022)","DOI":"10.1109\/JSAC.2023.3234693"},{"key":"876_CR29","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TCOMM.2022.3226487","volume":"99","author":"K He","year":"2022","unstructured":"K. He, Y. Deng, Efficient memory-bounded optimal detection for GSM-MIMO systems. IEEE Trans. Commun. 99, 1\u201312 (2022)","journal-title":"IEEE Trans. Commun."},{"key":"876_CR30","doi-asserted-by":"publisher","unstructured":"Tiwari, M., Maity, I., Misra, S.: Loan: Latency-aware task offloading in association-free social fog-iov networks. In: 2021 IEEE Global Communications Conference (GLOBECOM), pp. 01\u201306 (2021). https:\/\/doi.org\/10.1109\/GLOBECOM46510.2021.9685399","DOI":"10.1109\/GLOBECOM46510.2021.9685399"},{"key":"876_CR31","first-page":"1572","volume":"2021","author":"Z Wenqi","year":"2021","unstructured":"Z. Wenqi, C. Lunyuan, T. Shunpu, L. Lijia et al., Offloading strategy with PSO for mobile edge computing based on cache mechanism. Clust. Comput. 2021, 1572\u20137543 (2021)","journal-title":"Clust. Comput."},{"key":"876_CR32","first-page":"1","volume":"99","author":"L Zhang","year":"2022","unstructured":"L. Zhang, C. Gao, Deep reinforcement learning based IRS-assited mobile edge computing under physical-layer security. Phys. Commun. 99, 1\u201310 (2022)","journal-title":"Phys. Commun."},{"key":"876_CR33","first-page":"1","volume":"99","author":"L Chen","year":"2022","unstructured":"L. Chen, Physical-layer security on mobile edge computing for emerging cyber physical systems. Comput. Commun. 99, 1\u201312 (2022)","journal-title":"Comput. Commun."},{"key":"876_CR34","first-page":"1","volume":"99","author":"Y Guo","year":"2021","unstructured":"Y. Guo, S. Lai, Distributed machine learning for multiuser mobile edge computing systems. IEEE J. Sel. Top. Signal Process. 16(3), 460\u2013473 (2021)","journal-title":"IEEE J. Sel. Top. Signal Process."},{"key":"876_CR35","first-page":"1","volume":"99","author":"R Zhao","year":"2022","unstructured":"R. Zhao, M. Tang, Impact of direct links on intelligent reflect surface-aided MEC networks. Phys. Commun. 99, 1\u201310 (2022)","journal-title":"Phys. Commun."},{"key":"876_CR36","doi-asserted-by":"publisher","first-page":"423","DOI":"10.1016\/j.ins.2020.09.064","volume":"548","author":"H Yan","year":"2021","unstructured":"H. Yan, L. Hu, X. Xiang, Z. Liu, X. Yuan, PPCL: privacy-preserving collaborative learning for mitigating indirect information leakage. Inf. Sci. 548, 423\u2013437 (2021)","journal-title":"Inf. Sci."},{"key":"876_CR37","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.phycom.2018.10.009","volume":"32","author":"F Shi","year":"2019","unstructured":"F. Shi, J. Xia, Z. Na, X. Liu, Y. Ding, Z. Wang, Secure probabilistic caching in random multi-user multi-uav relay networks. Phys. Commun. 32, 31\u201340 (2019)","journal-title":"Phys. Commun."},{"issue":"3","key":"876_CR38","doi-asserted-by":"publisher","first-page":"402","DOI":"10.1109\/LWC.2019.2957743","volume":"9","author":"S Zhu","year":"2020","unstructured":"S. Zhu, W. Xu, L. Fan, K. Wang, G.K. Karagiannidis, A novel cross entropy approach for offloading learning in mobile edge computing. IEEE Wirel. Commun. Lett. 9(3), 402\u2013405 (2020)","journal-title":"IEEE Wirel. Commun. Lett."},{"key":"876_CR39","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1016\/j.comcom.2021.06.007","volume":"177","author":"M Fang","year":"2021","unstructured":"M. Fang, D. Li, H. Zhang, L. Fan, I. Trigui, Performance analysis of short-packet communications with incremental relaying. Comput. Commun. 177, 51\u201356 (2021)","journal-title":"Comput. Commun."},{"key":"876_CR40","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.phycom.2018.03.006","volume":"28","author":"H Huang","year":"2018","unstructured":"H. Huang, J. Xia, X. Liu, Z. Na, Q. Yang, H. Chen, J. Zhao, Switch-and-stay combining for energy harvesting relaying systems. Phys. Commun. 28, 28\u201334 (2018)","journal-title":"Phys. Commun."},{"issue":"2","key":"876_CR41","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1109\/TCOMM.2020.3029574","volume":"69","author":"PS Bouzinis","year":"2021","unstructured":"P.S. Bouzinis, P.D. Diamantoulakis, L. Fan, G.K. Karagiannidis, Pareto-optimal resource allocation in decentralized wireless powered networks. IEEE Trans. Commun. 69(2), 1007\u20131020 (2021)","journal-title":"IEEE Trans. Commun."},{"key":"876_CR42","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1016\/j.phycom.2019.01.004","volume":"33","author":"X Lin","year":"2019","unstructured":"X. Lin, J. Xia, Z. Wang, Probabilistic caching placement in uav-assisted heterogeneous wireless networks. Phys. Commun. 33, 54\u201361 (2019)","journal-title":"Phys. Commun."},{"key":"876_CR43","doi-asserted-by":"crossref","first-page":"8472186","DOI":"10.1155\/2018\/8472186","volume":"2018","author":"W Zhou","year":"2018","unstructured":"W. Zhou, D. Deng, J. Xia, Z. Shao, The precoder design with covariance feedback for simultaneous information and energy transmission systems. Wirel. Commun. Mob. Comput. 2018, 8472186\u20131847218617 (2018)","journal-title":"Wirel. Commun. Mob. Comput."},{"issue":"5","key":"876_CR44","doi-asserted-by":"publisher","first-page":"3025","DOI":"10.1109\/TCOMM.2021.3058999","volume":"69","author":"K He","year":"2021","unstructured":"K. He, L. He, L. Fan, Y. Deng, G.K. Karagiannidis, A. Nallanathan, Learning-based signal detection for MIMO systems with unknown noise statistics. IEEE Trans. Commun. 69(5), 3025\u20133038 (2021)","journal-title":"IEEE Trans. Commun."},{"key":"876_CR45","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1016\/j.jcss.2021.03.008","volume":"120","author":"W Chen","year":"2021","unstructured":"W. Chen, J. Li, Z. Huang, C. Gao, S. Yiu, Z.L. Jiang, Lattice-based unidirectional infinite-use proxy re-signatures with private re-signature key. J. Comput. Syst. Sci. 120, 137\u2013148 (2021)","journal-title":"J. Comput. Syst. Sci."},{"key":"876_CR46","doi-asserted-by":"publisher","first-page":"102632","DOI":"10.1016\/j.jnca.2020.102632","volume":"162","author":"T Huang","year":"2020","unstructured":"T. Huang, Q. Zhang, J. Liu, R. Hou, X. Wang, Y. Li, Adversarial attacks on deep-learning-based SAR image target recognition. J. Netw. Comput. Appl. 162, 102632 (2020)","journal-title":"J. Netw. Comput. Appl."},{"issue":"5","key":"876_CR47","first-page":"2438","volume":"18","author":"M Kanghua","year":"2022","unstructured":"M. Kanghua, T. Weixuan, L. Jin, Y. Xu, Attacking deep reinforcement learning with decoupled adversarial policy. IEEE Trans. Dependable Secur. Comput. 18(5), 2438\u20132455 (2022)","journal-title":"IEEE Trans. Dependable Secur. Comput."},{"issue":"1","key":"876_CR48","doi-asserted-by":"publisher","first-page":"1095","DOI":"10.1109\/TVT.2021.3128559","volume":"71","author":"Z Zhao","year":"2022","unstructured":"Z. Zhao, X. Lei, G.K. Karagiannidis, A. Nallanathan, System optimization of federated learning networks with a constrained latency. IEEE Trans. Veh. Technol. 71(1), 1095\u20131100 (2022)","journal-title":"IEEE Trans. Veh. Technol."}],"container-title":["EURASIP Journal on Advances in Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13634-022-00876-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s13634-022-00876-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s13634-022-00876-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T22:54:22Z","timestamp":1727304862000},"score":1,"resource":{"primary":{"URL":"https:\/\/asp-eurasipjournals.springeropen.com\/articles\/10.1186\/s13634-022-00876-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,26]]},"references-count":48,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["876"],"URL":"https:\/\/doi.org\/10.1186\/s13634-022-00876-1","relation":{},"ISSN":["1687-6180"],"issn-type":[{"value":"1687-6180","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,5,26]]},"assertion":[{"value":"17 January 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 May 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this paper.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"45"}}