{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T03:22:46Z","timestamp":1776396166902,"version":"3.51.2"},"reference-count":46,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T00:00:00Z","timestamp":1642723200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T00:00:00Z","timestamp":1642723200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2022,9]]},"DOI":"10.1007\/s11280-021-00988-y","type":"journal-article","created":{"date-parts":[[2022,1,21]],"date-time":"2022-01-21T09:04:06Z","timestamp":1642755846000},"page":"1923-1949","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["An edge-assisted cloud framework using a residual concatenate FCN approach to beam correction in the internet of weather radars"],"prefix":"10.1007","volume":"25","author":[{"given":"Hao","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8485-3582","authenticated-orcid":false,"given":"Qi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaodong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yonghong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyun","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,21]]},"reference":[{"issue":"2","key":"988_CR1","doi-asserted-by":"publisher","first-page":"239","DOI":"10.26599\/TST.2019.9010062","volume":"26","author":"R Bi","year":"2020","unstructured":"Bi, R., Liu, Q., Ren, J., Tan, G.: Utility aware offloading for mobile-edge computing. Tsinghua Science and Technology 26(2), 239\u2013250 (2020)","journal-title":"Tsinghua Science and Technology"},{"key":"988_CR2","doi-asserted-by":"publisher","first-page":"48451","DOI":"10.1109\/ACCESS.2020.2979348","volume":"8","author":"W Cai","year":"2020","unstructured":"Cai, W., Wei, Z.: Piigan: Generative adversarial networks for pluralistic image inpainting. IEEE Access 8, 48451\u201348463 (2020)","journal-title":"IEEE Access"},{"issue":"6","key":"988_CR3","doi-asserted-by":"publisher","first-page":"894","DOI":"10.26599\/TST.2020.9010050","volume":"26","author":"H Chen","year":"2021","unstructured":"Chen, H., Zhang, Y., Cao, Y., Xie, J.: Security issues and defensive approaches in deep learning frameworks. Tsinghua Science and Technology 26(6), 894\u2013905 (2021)","journal-title":"Tsinghua Science and Technology"},{"key":"988_CR4","doi-asserted-by":"crossref","unstructured":"Chen, Y., Liu, L., Tao, J., Xia, R., Zhang, Q., Yang, K., Xiong, J., Chen, X.: The improved image inpainting algorithm via encoder and similarity constraint. The Visual Computer pp. 1\u201315 (2020)","DOI":"10.1007\/s00371-020-01932-3"},{"issue":"5","key":"988_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3341145","volume":"52","author":"TL Duc","year":"2019","unstructured":"Duc, T.L., Leiva, R.G., Casari, P., \u00d6stberg, P.O.: Machine learning methods for reliable resource provisioning in edge-cloud computing: A survey. ACM Computing Surveys (CSUR) 52(5), 1\u201339 (2019)","journal-title":"ACM Computing Surveys (CSUR)"},{"issue":"7775","key":"988_CR6","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1038\/s41586-019-1559-7","volume":"573","author":"YG Ham","year":"2019","unstructured":"Ham, Y.G., Kim, J.H., Luo, J.J.: Deep learning for multi-year enso forecasts. Nature 573(7775), 568\u2013572 (2019)","journal-title":"Nature"},{"key":"988_CR7","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"issue":"3","key":"988_CR8","doi-asserted-by":"publisher","first-page":"515","DOI":"10.1109\/TPDS.2019.2938944","volume":"31","author":"Q He","year":"2020","unstructured":"He, Q., Cui, G., Zhang, X., Chen, F., Deng, S., Jin, H., Li, Y., Yang, Y.: A game-theoretical approach for user allocation in edge computing environment. IEEE Transactions on Parallel and Distributed Systems 31(3), 515\u2013529 (2020). https:\/\/doi.org\/10.1109\/TPDS.2019.2938944","journal-title":"IEEE Transactions on Parallel and Distributed Systems"},{"issue":"6","key":"988_CR9","first-page":"1737","volume":"33","author":"W Hongyan","year":"2014","unstructured":"Hongyan, W., Liping, L., Liping, H.: Beam blockage studies of doppler weather radar in mountainous region of zhejiang. Plateau Meteorology 33(6), 1737\u20131747 (2014)","journal-title":"Plateau Meteorology"},{"key":"988_CR10","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Van Der Maaten, L., Weinberger, K.Q.: Densely connected convolutional networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 4700\u20134708 (2017)","DOI":"10.1109\/CVPR.2017.243"},{"key":"988_CR11","unstructured":"Kim, S., Hong, S., Joh, M., Song, S.k.: Deeprain: Convlstm network for precipitation prediction using multichannel radar data. Preprint at arXiv:1711.02316 (2017)"},{"key":"988_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-03596-9_15","volume-title":"Optimal edge user allocation in edge computing with variable sized vector bin packing","author":"P Lai","year":"2018","unstructured":"Lai, P., Qiang, H., Abdelrazek, M., Chen, F., Hosking, J., Grundy, J., Yun, Y.: Optimal edge user allocation in edge computing with variable sized vector bin packing. Springer, Cham (2018)"},{"key":"988_CR13","doi-asserted-by":"crossref","unstructured":"Li, J., Wang, N., Zhang, L., Du, B., Tao, D.: Recurrent feature reasoning for image inpainting. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 7760\u20137768 (2020)","DOI":"10.1109\/CVPR42600.2020.00778"},{"issue":"4","key":"988_CR14","doi-asserted-by":"publisher","first-page":"2211","DOI":"10.1109\/TGRS.2017.2776562","volume":"56","author":"N Li","year":"2017","unstructured":"Li, N., Wang, Z., Sun, K., Chu, Z., Leng, L., Lv, X.: A quality control method of ground-based weather radar data based on statistics. IEEE Transactions on Geoscience and Remote Sensing 56(4), 2211\u20132219 (2017)","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"988_CR15","doi-asserted-by":"crossref","unstructured":"Li, P.C., Yu, T.T.: Landslide early warning with rainfall data from correcting weather radar reflectivity using machine learning. In: EGU General Assembly Conference Abstracts, p. 19265 (2020)","DOI":"10.5194\/egusphere-egu2020-19265"},{"key":"988_CR16","doi-asserted-by":"crossref","unstructured":"Liu, G., Reda, F.A., Shih, K.J., Wang, T.C., Tao, A., Catanzaro, B.: Image inpainting for irregular holes using partial convolutions. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 85\u2013100 (2018)","DOI":"10.1007\/978-3-030-01252-6_6"},{"key":"988_CR17","doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T.: Fully convolutional networks for semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 3431\u20133440 (2015)","DOI":"10.1109\/CVPR.2015.7298965"},{"issue":"1","key":"988_CR18","doi-asserted-by":"publisher","first-page":"25","DOI":"10.26599\/BDMA.2020.9020018","volume":"4","author":"J Mabrouki","year":"2021","unstructured":"Mabrouki, J., Azrour, M., Dhiba, D., Farhaoui, Y., El Hajjaji, S.: Iot-based data logger for weather monitoring using arduino-based wireless sensor networks with remote graphical application and alerts. Big Data Mining and Analytics 4(1), 25\u201332 (2021)","journal-title":"Big Data Mining and Analytics"},{"issue":"1","key":"988_CR19","doi-asserted-by":"publisher","first-page":"56","DOI":"10.26599\/BDMA.2020.9020027","volume":"4","author":"YN Malek","year":"2021","unstructured":"Malek, Y.N., Najib, M., Bakhouya, M., Essaaidi, M.: Multivariate deep learning approach for electric vehicle speed forecasting. Big Data Mining and Analytics 4(1), 56\u201364 (2021)","journal-title":"Big Data Mining and Analytics"},{"issue":"7","key":"988_CR20","doi-asserted-by":"publisher","first-page":"1407","DOI":"10.1175\/JTECH-D-16-0174.1","volume":"34","author":"DB McRoberts","year":"2017","unstructured":"McRoberts, D.B., Nielsen-Gammon, J.W.: Detecting beam blockage in radar-based precipitation estimates. Journal of Atmospheric and Oceanic Technology 34(7), 1407\u20131422 (2017)","journal-title":"Journal of Atmospheric and Oceanic Technology"},{"key":"988_CR21","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, M.S.: Intelligent task prediction and computation offloading based on mobile-edge cloud computing. Future Generation Computer Systems 102, 925\u2013931 (2020)","journal-title":"Future Generation Computer Systems"},{"key":"988_CR22","unstructured":"Nazeri, K., Ng, E., Joseph, T., Qureshi, F.Z., Ebrahimi, M.: Edgeconnect: Generative image inpainting with adversarial edge learning. Preprint at arXiv:1901.00212 (2019)"},{"issue":"3","key":"988_CR23","doi-asserted-by":"publisher","first-page":"1761","DOI":"10.1109\/COMST.2020.2997475","volume":"22","author":"W Rafique","year":"2020","unstructured":"Rafique, W., Qi, L., Yaqoob, I., Imran, M., Rasool, R.U., Dou, W.: Complementing iot services through software defined networking and edge computing: A comprehensive survey. IEEE Communications Surveys & Tutorials 22(3), 1761\u20131804 (2020)","journal-title":"IEEE Communications Surveys & Tutorials"},{"issue":"3","key":"988_CR24","doi-asserted-by":"publisher","first-page":"208","DOI":"10.26599\/BDMA.2021.9020004","volume":"4","author":"Z Ren","year":"2021","unstructured":"Ren, Z., Liu, Y., Shi, T., Xie, L., Zhou, Y., Zhai, J., Zhang, Y., Zhang, Y., Chen, W.: Aiperf: Automated machine learning as an ai-hpc benchmark. Big Data Mining and Analytics 4(3), 208\u2013220 (2021)","journal-title":"Big Data Mining and Analytics"},{"key":"988_CR25","doi-asserted-by":"crossref","unstructured":"Shi, E., Li, Q., Gu, D., Zhao, Z.: A method of weather radar echo extrapolation based on convolutional neural networks. In: International Conference on Multimedia Modeling, pp. 16\u201328. Springer (2018)","DOI":"10.1007\/978-3-319-73603-7_2"},{"key":"988_CR26","unstructured":"Shi, X., Gao, Z., Lausen, L., Wang, H., Yeung, D.Y., Wong, W.k., Woo, W.c.: Deep learning for precipitation nowcasting: A benchmark and a new model. In: Advances in neural information processing systems, pp. 5617\u20135627 (2017)"},{"key":"988_CR27","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. Preprint at arXiv:1409.1556(2014)"},{"key":"988_CR28","doi-asserted-by":"crossref","unstructured":"Song, Y., Yang, C., Lin, Z., Liu, X., Huang, Q., Li, H., Jay Kuo, C.C.: Contextual-based image inpainting: Infer, match, and translate. In: Proceedings of the European Conference on Computer Vision (ECCV), pp. 3\u201319 (2018)","DOI":"10.1007\/978-3-030-01216-8_1"},{"key":"988_CR29","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Liu, W., Jia, Y., Sermanet, P., Reed, S., Anguelov, D., Erhan, D., Vanhoucke, V., Rabinovich, A.: Going deeper with convolutions. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"988_CR30","doi-asserted-by":"crossref","unstructured":"Tian, H., Xu, X., Lin, T., Cheng, Y., Qian, C., Ren, L., Bilal, M.: Dima: Distributed cooperative microservice caching for internet of things in edge computing by deep reinforcement learning. World Wide Web pp. 1\u201324 (2021)","DOI":"10.1007\/s11280-021-00939-7"},{"issue":"3","key":"988_CR31","doi-asserted-by":"publisher","first-page":"155","DOI":"10.26599\/BDMA.2020.9020029","volume":"4","author":"Z Tong","year":"2021","unstructured":"Tong, Z., Ye, F., Yan, M., Liu, H., Basodi, S.: A survey on algorithms for intelligent computing and smart city applications. Big Data Mining and Analytics 4(3), 155\u2013172 (2021)","journal-title":"Big Data Mining and Analytics"},{"key":"988_CR32","doi-asserted-by":"crossref","unstructured":"Trebing, K., Stanczyk, T., Mehrkanoon, S.: Smaat-unet: Precipitation nowcasting using a small attention-unet architecture. Pattern Recognition Letters (2021)","DOI":"10.1016\/j.patrec.2021.01.036"},{"key":"988_CR33","doi-asserted-by":"publisher","first-page":"107448","DOI":"10.1016\/j.patcog.2020.107448","volume":"106","author":"N Wang","year":"2020","unstructured":"Wang, N., Ma, S., Li, J., Zhang, Y., Zhang, L.: Multistage attention network for image inpainting. Pattern Recognition 106, 107448 (2020)","journal-title":"Pattern Recognition"},{"issue":"3","key":"988_CR34","doi-asserted-by":"publisher","first-page":"4831","DOI":"10.1109\/JIOT.2018.2870288","volume":"6","author":"T Wang","year":"2018","unstructured":"Wang, T., Zhang, G., Liu, A., Bhuiyan, M.Z.A., Jin, Q.: A secure iot service architecture with an efficient balance dynamics based on cloud and edge computing. IEEE Internet of Things Journal 6(3), 4831\u20134843 (2018)","journal-title":"IEEE Internet of Things Journal"},{"issue":"6","key":"988_CR35","doi-asserted-by":"publisher","first-page":"918","DOI":"10.26599\/TST.2021.9010029","volume":"26","author":"D Wei","year":"2021","unstructured":"Wei, D., Ning, H., Shi, F., Wan, Y., Xu, J., Yang, S., Zhu, L.: Dataflow management in the internet of things: Sensing, control, and security. Tsinghua Science and Technology 26(6), 918\u2013930 (2021)","journal-title":"Tsinghua Science and Technology"},{"issue":"9","key":"988_CR36","doi-asserted-by":"publisher","first-page":"8099","DOI":"10.1109\/JIOT.2020.2996784","volume":"7","author":"H Wu","year":"2020","unstructured":"Wu, H., Zhang, Z., Guan, C., Wolter, K., Xu, M.: Collaborate edge and cloud computing with distributed deep learning for smart city internet of things. IEEE Internet of Things Journal 7(9), 8099\u20138110 (2020)","journal-title":"IEEE Internet of Things Journal"},{"issue":"4","key":"988_CR37","doi-asserted-by":"publisher","first-page":"200","DOI":"10.12677\/JISP.2018.74023","volume":"7","author":"K Wu","year":"2018","unstructured":"Wu, K., Shen, Y., Wang, S.: 3d convolutional neural network for regional precipitation nowcasting. Journal of Image and Signal Processing 7(4), 200\u2013212 (2018)","journal-title":"Journal of Image and Signal Processing"},{"issue":"1","key":"988_CR38","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/TPDS.2020.3010521","volume":"32","author":"X Xia","year":"2021","unstructured":"Xia, X., Chen, F., He, Q., Grundy, J.C., Abdelrazek, M., Jin, H.: Cost-effective app data distribution in edge computing. IEEE Transactions on Parallel and Distributed Systems 32(1), 31\u201344 (2021). https:\/\/doi.org\/10.1109\/TPDS.2020.3010521","journal-title":"IEEE Transactions on Parallel and Distributed Systems"},{"key":"988_CR39","unstructured":"Xingjian, S., Chen, Z., Wang, H., Yeung, D.Y., Wong, W.K., Woo, W.c.: Convolutional lstm network: A machine learning approach for precipitation nowcasting. In: Advances in neural information processing systems, pp. 802\u2013810 (2015)"},{"issue":"2","key":"988_CR40","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3401979","volume":"17","author":"X Xu","year":"2021","unstructured":"Xu, X., Fang, Z., Qi, L., Zhang, X., He, Q., Zhou, X.: Tripres: Traffic flow prediction driven resource reservation for multimedia iov with edge computing. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM) 17(2), 1\u201321 (2021)","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)"},{"issue":"3","key":"988_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3447032","volume":"17","author":"X Xu","year":"2021","unstructured":"Xu, X., Fang, Z., Zhang, J., He, Q., Yu, D., Qi, L., Dou, W.: Edge content caching with deep spatiotemporal residual network for iov in smart city. ACM Transactions on Sensor Networks (TOSN) 17(3), 1\u201333 (2021)","journal-title":"ACM Transactions on Sensor Networks (TOSN)"},{"issue":"6","key":"988_CR42","doi-asserted-by":"publisher","first-page":"3720","DOI":"10.1109\/TITS.2020.3034197","volume":"22","author":"X Xu","year":"2020","unstructured":"Xu, X., Huang, Q., Zhu, H., Sharma, S., Zhang, X., Qi, L., Bhuiyan, M.Z.A.: Secure service offloading for internet of vehicles in sdn-enabled mobile edge computing. IEEE Transactions on Intelligent Transportation Systems 22(6), 3720\u20133729 (2020)","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"key":"988_CR43","doi-asserted-by":"crossref","unstructured":"Yao, G., Liu, Z., Guo, X., Wei, C., Li, X., Chen, Z.: Prediction of weather radar images via a deep lstm for nowcasting. In: 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1\u20138. IEEE (2020)","DOI":"10.1109\/IJCNN48605.2020.9206889"},{"key":"988_CR44","doi-asserted-by":"crossref","unstructured":"Yu, J., Lin, Z., Yang, J., Shen, X., Lu, X., Huang, T.S.: Generative image inpainting with contextual attention. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 5505\u20135514 (2018)","DOI":"10.1109\/CVPR.2018.00577"},{"key":"988_CR45","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1016\/j.biosystemseng.2018.10.014","volume":"177","author":"MA Zamora-Izquierdo","year":"2019","unstructured":"Zamora-Izquierdo, M.A., Santa, J., Mart\u00ednez, J.A., Mart\u00ednez, V., Skarmeta, A.F.: Smart farming iot platform based on edge and cloud computing. Biosystems engineering 177, 4\u201317 (2019)","journal-title":"Biosystems engineering"},{"issue":"1","key":"988_CR46","doi-asserted-by":"publisher","first-page":"95","DOI":"10.26599\/TST.2019.9010044","volume":"26","author":"W Zhang","year":"2020","unstructured":"Zhang, W., Chen, X., Jiang, J.: A multi-objective optimization method of initial virtual machine fault-tolerant placement for star topological data centers of cloud systems. Tsinghua Science and Technology 26(1), 95\u2013111 (2020)","journal-title":"Tsinghua Science and Technology"}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-021-00988-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11280-021-00988-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-021-00988-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,6]],"date-time":"2022-10-06T06:16:00Z","timestamp":1665036960000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11280-021-00988-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,21]]},"references-count":46,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,9]]}},"alternative-id":["988"],"URL":"https:\/\/doi.org\/10.1007\/s11280-021-00988-y","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,21]]},"assertion":[{"value":"19 July 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 November 2021","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 December 2021","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 January 2022","order":4,"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 that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}