{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:08:31Z","timestamp":1743052111336,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031714665"},{"type":"electronic","value":"9783031714672"}],"license":[{"start":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T00:00:00Z","timestamp":1731542400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,14]],"date-time":"2024-11-14T00:00:00Z","timestamp":1731542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-71467-2_20","type":"book-chapter","created":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T08:02:43Z","timestamp":1731484963000},"page":"241-253","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Real-Time Atmospheric Duct Height Prediction Framework Based on\u00a0Spatio-Temporal to\u00a0Ensure Maritime Communication Security"],"prefix":"10.1007","author":[{"given":"Ben","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ke","family":"Yan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bei","family":"Hui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hui","family":"Gao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,14]]},"reference":[{"key":"20_CR1","doi-asserted-by":"crossref","unstructured":"Towards neural network-based communication system: attack and defense. IEEE Trans. Dependable Secure Comput., 3238\u20133250 (2023)","DOI":"10.1109\/TDSC.2022.3203965"},{"key":"20_CR2","doi-asserted-by":"crossref","unstructured":"Alappattu, D.P., Wang, Q., Kalogiros, J.: Anomalous propagation conditions over eastern Pacific Ocean derived from MAGIC data. Radio Sci. ,1142\u20131156 (2016)","DOI":"10.1002\/2016RS005994"},{"key":"20_CR3","doi-asserted-by":"crossref","unstructured":"Babin, S.M., Young, G.S., Carton, J.A.: A new model of the oceanic evaporation duct. J. Appl. Meteorol., 193\u2013204 (1997)","DOI":"10.1175\/1520-0450(1997)036<0193:ANMOTO>2.0.CO;2"},{"key":"20_CR4","doi-asserted-by":"crossref","unstructured":"Cai, Z., Chen, Q.: Latency-and-coverage aware data aggregation scheduling for multihop battery-free wireless networks. IEEE Trans. Wireless Commun., 1770\u20131784 (2021)","DOI":"10.1109\/TWC.2020.3036408"},{"key":"20_CR5","doi-asserted-by":"crossref","unstructured":"Cai, Z., He, Z.: Trading private range counting over big IoT data. In: Proceedings of the 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS), pp. 144\u2013153 (2019)","DOI":"10.1109\/ICDCS.2019.00023"},{"key":"20_CR6","doi-asserted-by":"crossref","unstructured":"Cai, Z., Zheng, X., Wang, J., He, Z.: Private data trading towards range counting queries in internet of things. IEEE Trans. Mobile Comput., 4881\u20134897 (2023)","DOI":"10.1109\/TMC.2022.3164325"},{"key":"20_CR7","doi-asserted-by":"crossref","unstructured":"Chai, X., Li, J., Zhao, J., Hu, Y., Zhao, X.: NWPP-EDH: Numerical weather prediction products evaporation duct regional prediction model. Front. Earth Sci. (2023)","DOI":"10.3389\/feart.2022.1031186"},{"key":"20_CR8","unstructured":"Deng, G., Cahill, L.: An adaptive Gaussian filter for noise reduction and edge detection. In: Proceedings of the 1993 IEEE Conference Record Nuclear Science Symposium and Medical Imaging Conference, vol. 3, pp. 1615\u20131619 (1993)"},{"key":"20_CR9","doi-asserted-by":"crossref","unstructured":"Han, J., et al.: Evaporation duct height nowcasting in China\u2019s yellow sea based on deep learning. Remote Sens., 1577 (2021)","DOI":"10.3390\/rs13081577"},{"key":"20_CR10","doi-asserted-by":"crossref","unstructured":"Han, J., et al.: A Classifying-inversion method of offshore atmospheric duct parameters using AIS data based on artificial intelligence. Remote Sens., 3197 (2022)","DOI":"10.3390\/rs14133197"},{"key":"20_CR11","doi-asserted-by":"crossref","unstructured":"He, Z., Cai, Z.: Trading aggregate statistics over private internet of things data. IEEE Trans. Comput., 394\u2013407 (2024)","DOI":"10.1109\/TC.2023.3331816"},{"key":"20_CR12","unstructured":"Jayamanmadharao, M.: Implementation of object oriented approch for noise reduction using fuzzy logic. Int. J. Eng. Sci. Technol. (2011)"},{"key":"20_CR13","unstructured":"Jozefowicz, R., Zaremba, W., Sutskever, I.: An empirical exploration of recurrent network architectures. In: Proceedings of the 32nd International Conference on Machine Learning, pp. 2342\u20132350 (2015)"},{"key":"20_CR14","doi-asserted-by":"crossref","unstructured":"Kumar, A., Sodhi, S.S.: Comparative analysis of Gaussian filter, Median filter and denoise autoenocoder, pp. 45\u201351, March 2020","DOI":"10.23919\/INDIACom49435.2020.9083712"},{"key":"20_CR15","doi-asserted-by":"crossref","unstructured":"Liao, Q., Mai, Y., Sheng, Z., Wang, Y., Ni, Q., Zhou, S.: The comparison of long short-term memory neural network and deep forest for the evaporation duct height prediction. IEEE Trans. Antennas Propag., 4444\u20134450 (2023)","DOI":"10.1109\/TAP.2023.3254201"},{"key":"20_CR16","doi-asserted-by":"crossref","unstructured":"Niu, Z., Zhong, G., Yu, H.: A review on the attention mechanism of deep learning. Neurocomputing, 48\u201362 (2021)","DOI":"10.1016\/j.neucom.2021.03.091"},{"key":"20_CR17","unstructured":"Oyesina, K.A., Ogunlade, M.A.: Noise reduction using arithmetic mean filtering (a comparison study of application to different noise types). Int. J. Sci. Res. (IJSR), 1\u20134 (2017)"},{"key":"20_CR18","doi-asserted-by":"crossref","unstructured":"Paulus, R.A.: Practical application of an evaporation duct model. Radio Sci., 887\u2013896 (1985)","DOI":"10.1029\/RS020i004p00887"},{"key":"20_CR19","doi-asserted-by":"crossref","unstructured":"Yang, C., Wang, J., Shi, Y.: A multi-dimensional deep-learning-based evaporation duct height prediction model derived from MAGIC data. Remote Sens., 5484 (2022)","DOI":"10.3390\/rs14215484"},{"key":"20_CR20","doi-asserted-by":"crossref","unstructured":"Zhao, W., Li, J., Zhao, J., Jiang, T., Zhu, J., Zhao, D., Zhao, J.: Research on evaporation duct height prediction based on back propagation neural network. IET Microwaves Antennas Propag., 1547\u20131554 (2020)","DOI":"10.1049\/iet-map.2019.1136"},{"key":"20_CR21","doi-asserted-by":"crossref","unstructured":"Zhao, W., et al.: An evaporation duct height prediction model based on a long short-term memory neural network. IEEE Trans. Antennas Propag., 7795\u20137804 (2021)","DOI":"10.1109\/TAP.2021.3076478"},{"key":"20_CR22","doi-asserted-by":"crossref","unstructured":"Zhou, X., Kollias, P., Lewis, E.R.: Clouds, precipitation, and marine boundary layer structure during the MAGIC field campaign. J. Clim., 2420\u20132442 (2015)","DOI":"10.1175\/JCLI-D-14-00320.1"},{"key":"20_CR23","unstructured":"Zhu, X.: Elevated duct height refinement (2019). https:\/\/github.com\/zxy1012-maker\/Elevated-duct-height-Refinement"}],"container-title":["Lecture Notes in Computer Science","Wireless Artificial Intelligent Computing Systems and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-71467-2_20","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,13]],"date-time":"2024-11-13T08:06:27Z","timestamp":1731485187000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-71467-2_20"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,14]]},"ISBN":["9783031714665","9783031714672"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-71467-2_20","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,14]]},"assertion":[{"value":"14 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WASA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Wireless Artificial Intelligent Computing Systems and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Qingdao","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 June 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wasa2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wasa-conference.org\/WASA2024\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}