{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T07:28:34Z","timestamp":1766820514157,"version":"3.37.3"},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T00:00:00Z","timestamp":1565222400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T00:00:00Z","timestamp":1565222400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Circuits Syst Signal Process"],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1007\/s00034-019-01226-7","type":"journal-article","created":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T14:02:58Z","timestamp":1565272978000},"page":"1059-1070","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["A Hardware Acceleration Platform for AI-Based Inference at the Edge"],"prefix":"10.1007","volume":"39","author":[{"given":"Kimon","family":"Karras","sequence":"first","affiliation":[]},{"given":"Evangelos","family":"Pallis","sequence":"additional","affiliation":[]},{"given":"George","family":"Mastorakis","sequence":"additional","affiliation":[]},{"given":"Yannis","family":"Nikoloudakis","sequence":"additional","affiliation":[]},{"given":"Jordi Mongay","family":"Batalla","sequence":"additional","affiliation":[]},{"given":"Constandinos X.","family":"Mavromoustakis","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0959-598X","authenticated-orcid":false,"given":"Evangelos","family":"Markakis","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,8]]},"reference":[{"issue":"3","key":"1226_CR1","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1109\/MIS.2015.19","volume":"30","author":"A Abbasi","year":"2015","unstructured":"A. Abbasi, R.Y. Lau, D.E. Brown, Predicting behavior. IEEE Intell. Syst. 30(3), 35\u201343 (2015)","journal-title":"IEEE Intell. Syst."},{"issue":"6","key":"1226_CR2","doi-asserted-by":"publisher","first-page":"1065","DOI":"10.1109\/JSAC.2014.2328098","volume":"32","author":"JG Andrews","year":"2014","unstructured":"J.G. Andrews, S. Buzzi, W. Choi, S.V. Hanly, A. Lozano, A.C. Soong, J.C. Zhang, What will 5G be? IEEE J. Sel. Areas Commun. 32(6), 1065\u20131082 (2014)","journal-title":"IEEE J. Sel. Areas Commun."},{"issue":"4","key":"1226_CR3","doi-asserted-by":"publisher","first-page":"e3169","DOI":"10.1002\/ett.3169","volume":"29","author":"I Farris","year":"2018","unstructured":"I. Farris, T. Taleb, H. Flinck, A. Iera, Providing ultra-short latency to user-centric 5G applications at the mobile network edge. Trans. Emerg. Telecommun. Technol. 29(4), e3169 (2018)","journal-title":"Trans. Emerg. Telecommun. Technol."},{"issue":"1","key":"1226_CR4","doi-asserted-by":"publisher","first-page":"12","DOI":"10.3390\/sym10010012","volume":"10","author":"J Gazda","year":"2018","unstructured":"J. Gazda, P. T\u00f3th, J. Zausinov\u00e1, M. Volo\u0161in, V. Gazda, On the interdependence of the financial market and open access spectrum market in the 5G network. Symmetry 10(1), 12 (2018)","journal-title":"Symmetry"},{"key":"1226_CR5","doi-asserted-by":"publisher","first-page":"1985","DOI":"10.1109\/ACCESS.2016.2540520","volume":"4","author":"Y He","year":"2016","unstructured":"Y. He, F.R. Yu, N. Zhao, H. Yin, H. Yao, R.C. Qiu, Big Data Analytics in Mobile Cellular Networks. IEEE Access 4, 1985\u20131996 (2016)","journal-title":"IEEE Access"},{"key":"1226_CR6","doi-asserted-by":"crossref","unstructured":"S. Jiang, D. He, C. Yang, C. Xu, G. Luo, Y. Chen, Y. Liu, J. Jiang. Accelerating mobile applications at the network edge with software-programmable FPGAs, in Proceedings\u2014IEEE INFOCOM, vol. 2018 (IEEE, 2018), pp. 55\u201362","DOI":"10.1109\/INFOCOM.2018.8485850"},{"key":"1226_CR7","first-page":"149","volume-title":"Hardware Accelerators in Data Centers","author":"Kimon Karras","year":"2018","unstructured":"K. Karras, O. Kipouridis, N. Zotos, E. Markakis, G. Bogdos. Enabling virtualized programmable logic resources at the edge and the cloud, in Hardware Accelerators in Data Centers (Springer, Cham, 2018), pp. 149\u2013162"},{"key":"1226_CR8","doi-asserted-by":"crossref","unstructured":"E. Markakis, E. Pallis, C. Skianis, V. Zacharopoulos. Exploiting peer-to-peer technology for network and resource management in interactive broadcasting environments, in GLOBECOM\u2014IEEE Global Telecommunications Conference (IEEE, 2010), pages 1\u20135","DOI":"10.1109\/GLOCOM.2010.5683893"},{"issue":"11","key":"1226_CR9","doi-asserted-by":"publisher","first-page":"152","DOI":"10.1109\/MCOM.2017.1700105","volume":"55","author":"EK Markakis","year":"2017","unstructured":"E.K. Markakis, K. Karras, A. Sideris, G. Alexiou, E. Pallis, Computing, caching, and communication at the edge: the cornerstone for building a versatile 5G ecosystem. IEEE Commun. Mag. 55(11), 152\u2013157 (2017)","journal-title":"IEEE Commun. Mag."},{"issue":"7","key":"1226_CR10","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1109\/MCOM.2017.1600730","volume":"55","author":"EK Markakis","year":"2017","unstructured":"E.K. Markakis, K. Karras, N. Zotos, A. Sideris, T. Moysiadis, A. Corsaro, G. Alexiou, C. Skianis, G. Mastorakis, C.X. Mavromoustakis, E. Pallis, EXEGESIS: extreme edge resource harvesting for a virtualized fog environment. IEEE Commun. Mag. 55(7), 173\u2013179 (2017)","journal-title":"IEEE Commun. Mag."},{"key":"1226_CR11","doi-asserted-by":"crossref","unstructured":"K. Mishra, R. Rani. Churn prediction in telecommunication using machine learning, in International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017 (IEEE, 2018), pp. 2252\u20132257","DOI":"10.1109\/ICECDS.2017.8389853"},{"issue":"2","key":"1226_CR12","doi-asserted-by":"publisher","first-page":"2449","DOI":"10.1109\/JIOT.2018.2870068","volume":"6","author":"RK Pathinarupothi","year":"2019","unstructured":"R.K. Pathinarupothi, P. Durga, E.S. Rangan, IoT-based smart edge for global health: remote monitoring with severity detection and alerts transmission. IEEE Internet Things J. 6(2), 2449\u20132462 (2019)","journal-title":"IEEE Internet Things J."},{"issue":"3","key":"1226_CR13","doi-asserted-by":"publisher","first-page":"225","DOI":"10.13052\/jicts2245-800X.532","volume":"5","author":"AR Prasad","year":"2018","unstructured":"A.R. Prasad, S. Lakshminarayanan, S. Arumugam, Market dynamics and security considerations of 5G. J. ICT Standard. 5(3), 225\u2013250 (2018)","journal-title":"J. ICT Standard."},{"key":"1226_CR14","doi-asserted-by":"crossref","unstructured":"T.B. Preu\u00dfer, G. Gambardella, N. Fraser, M. Blott. Inference of quantized neural networks on heterogeneous all-programmable devices, in Proceedings of the 2018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018, vol. 2018 (IEEE, 2018), pp. 833\u2013838","DOI":"10.23919\/DATE.2018.8342121"},{"issue":"2","key":"1226_CR15","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/S0167-4730(01)00007-8","volume":"23","author":"R Rackwitz","year":"2002","unstructured":"R. Rackwitz, Structural reliability analysis and prediction. Struct. Saf. 23(2), 194\u2013195 (2002)","journal-title":"Struct. Saf."},{"key":"1226_CR16","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1007\/978-3-642-41398-8_31","volume-title":"Advances in Intelligent Data Analysis XII","author":"Dejan Radosavljevik","year":"2013","unstructured":"D. Radosavljevik, P. Van Der Putten. Preventing churn intelecommunications: the forgotten network, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8207LNCS (Springer, Berlin, 2013), pp. 357\u2013368"},{"key":"1226_CR17","unstructured":"J. Redmon, S. Divvala, R. Girshick, A. Farhadi. You only look once: unified, real-time object detection, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2016 (2016), pp. 779\u2013788"},{"issue":"6","key":"1226_CR18","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"S. Ren, K. He, R. Girshick, J. Sun, Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39(6), 1137\u20131149 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"1226_CR19","doi-asserted-by":"crossref","unstructured":"M. T. Ribeiro, S. Singh, C. Guestrin. \u201cWhy Should I Trust You?\u201d, in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining\u2014KDD \u201916. (ACM Press, New York, 2016), pp. 1135\u20131144","DOI":"10.1145\/2939672.2939778"},{"key":"1226_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-1-4899-7637-6","volume-title":"Recommender Systems Handbook","author":"Francesco Ricci","year":"2015","unstructured":"F. Ricci, B. Shapira, L. Rokach. Recommender systems: introduction and challenges, in Recommender Systems Handbook, 2nd edn. chap. 1.2 (Springer, Boston, 2015), pages 1\u201334"},{"key":"1226_CR21","unstructured":"J. Yan, Z. Lei, L. Wen, S. Z. Li. The fastest deformable part model for object detection, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (2014), pp. 2497\u20132504"},{"issue":"1","key":"1226_CR22","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/MNET.2016.7389830","volume":"30","author":"K Zheng","year":"2016","unstructured":"K. Zheng, Z. Yang, K. Zhang, P. Chatzimisios, K. Yang, W. Xiang, Big data-driven optimization for mobile networks toward 5G. IEEE Netw. 30(1), 44\u201351 (2016)","journal-title":"IEEE Netw."}],"container-title":["Circuits, Systems, and Signal Processing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-019-01226-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00034-019-01226-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00034-019-01226-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,8,6]],"date-time":"2020-08-06T23:20:22Z","timestamp":1596756022000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00034-019-01226-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,8]]},"references-count":22,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2020,2]]}},"alternative-id":["1226"],"URL":"https:\/\/doi.org\/10.1007\/s00034-019-01226-7","relation":{},"ISSN":["0278-081X","1531-5878"],"issn-type":[{"type":"print","value":"0278-081X"},{"type":"electronic","value":"1531-5878"}],"subject":[],"published":{"date-parts":[[2019,8,8]]},"assertion":[{"value":"2 February 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"17 July 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 August 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}