{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,19]],"date-time":"2025-12-19T10:12:40Z","timestamp":1766139160835,"version":"3.41.0"},"publisher-location":"Cham","reference-count":18,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031877711"},{"type":"electronic","value":"9783031877728"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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\/978-3-031-87772-8_33","type":"book-chapter","created":{"date-parts":[[2025,4,22]],"date-time":"2025-04-22T07:36:24Z","timestamp":1745307384000},"page":"394-405","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Intelligent System for Enhancing Nuclear Security in the Design of Maritime Ports Hosting Nuclear-Powered Ships"],"prefix":"10.1007","author":[{"given":"Miltiadis","family":"Alamaniotis","sequence":"first","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,4,23]]},"reference":[{"issue":"2","key":"33_CR1","first-page":"390","volume":"10","author":"DL Bleviss","year":"2021","unstructured":"Bleviss, D.L.: Transportation is critical to reducing greenhouse gas emissions in the United States. Wiley Interdiscip. Rev. Energy Environ. 10(2), 390 (2021)","journal-title":"Wiley Interdiscip. Rev. Energy Environ."},{"issue":"8","key":"33_CR2","doi-asserted-by":"publisher","first-page":"6996","DOI":"10.3390\/su15086996","volume":"15","author":"S Singh","year":"2023","unstructured":"Singh, S., Dwivedi, A., Pratap, S.: Sustainable maritime freight transportation: current status and future directions. Sustainability 15(8), 6996 (2023)","journal-title":"Sustainability"},{"key":"33_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.oceaneng.2022.111156","volume":"251","author":"S Adumene","year":"2022","unstructured":"Adumene, S., Islam, R., Amin, M.T., Nitonye, S., Yazdi, M., Johnson, K.T.: Advances in nuclear power system design and fault-based condition monitoring towards safety of nuclear-powered ships. Ocean Eng. 251, 111156 (2022)","journal-title":"Ocean Eng."},{"issue":"3","key":"33_CR4","first-page":"40","volume":"42","author":"S Philippe","year":"2014","unstructured":"Philippe, S.: Safeguarding the military naval nuclear fuel cycle. J. Nucl. Mater. Manag. 42(3), 40\u201352 (2014)","journal-title":"J. Nucl. Mater. Manag."},{"key":"33_CR5","doi-asserted-by":"crossref","unstructured":"Alamaniotis, M., et al.: Engineering solution to nuclear material detection at ports: introducing the novel iMASS paradigm. In: 21st IEEE International Conference on Tools with Artificial Intelligence. IEEE (2009)","DOI":"10.1109\/ICTAI.2009.94"},{"issue":"5","key":"33_CR6","doi-asserted-by":"publisher","first-page":"868","DOI":"10.1080\/00295450.2023.2254168","volume":"210","author":"E Gharibshahi","year":"2024","unstructured":"Gharibshahi, E., Alamaniotis, M.: Artificial intelligence detection system of radioactive nanocomposites in liquid-filled containers for nuclear security. Nucl. Technol. 210(5), 868\u2013883 (2024)","journal-title":"Nucl. Technol."},{"key":"33_CR7","doi-asserted-by":"crossref","unstructured":"Alamaniotis, M., Heifetz, A.: Survey of machine learning approaches in radiation data analytics pertained to nuclear security. In: Advances in Machine Learning\/Deep Learning-based Technologies: Selected Papers in Honour of Professor Nikolaos G. Bourbakis, vol. 2, pp. 97\u2013115 (2022)","DOI":"10.1007\/978-3-030-76794-5_6"},{"issue":"2","key":"33_CR8","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.cstp.2020.01.006","volume":"8","author":"M Herv\u00e1s-Peralta","year":"2020","unstructured":"Herv\u00e1s-Peralta, M., Poveda-Reyes, S., Santarremigia, F.E., Molero, G.D.: Designing the layout of terminals with dangerous goods for safer and more secure ports and hinterlands. Case Stud. Transp. Policy 8(2), 300\u2013310 (2020)","journal-title":"Case Stud. Transp. Policy"},{"issue":"6","key":"33_CR9","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1007\/s10512-022-00893-1","volume":"131","author":"VP Kuchinov","year":"2022","unstructured":"Kuchinov, V.P., Lazarev, A.E., Malev, V.V., Salnikova, N.A., Shmelev, I.V., Davydov, I.L.: Floating power units and IAEA safeguards. At. Energ. 131(6), 358\u2013361 (2022)","journal-title":"At. Energ."},{"issue":"10","key":"33_CR10","doi-asserted-by":"publisher","first-page":"1728","DOI":"10.3390\/jmse12101728","volume":"12","author":"G Xiao","year":"2024","unstructured":"Xiao, G., Wang, Y., Wu, R., Li, J., Cai, Z.: Sustainable maritime transport: a review of intelligent shipping technology and green port construction applications. J. Marine Scie. Eng. 12(10), 1728 (2024)","journal-title":"J. Marine Scie. Eng."},{"key":"33_CR11","doi-asserted-by":"crossref","unstructured":"Gu, S., Alamaniotis, M.: Radiation sensor placement using reinforcement learning in nuclear security applications. In: 13th International Conference on Information, Intelligence, Systems and Applications (IISA). IEEE (2022)","DOI":"10.1109\/IISA56318.2022.9904349"},{"key":"33_CR12","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1016\/j.ssci.2016.10.007","volume":"100","author":"GD Molero","year":"2017","unstructured":"Molero, G.D., Santarremigia, F.E., Aragon\u00e9s-Beltr\u00e1n, P., Pastor-Ferrando, J.P.: Total safety by design: Increased safety and operability of supply chain of inland terminals for containers with dangerous goods. Saf. Sci. 100, 168\u2013182 (2017)","journal-title":"Saf. Sci."},{"key":"33_CR13","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.aej.2024.07.055","volume":"108","author":"M Zubair","year":"2024","unstructured":"Zubair, M., Radkiany, R., Akram, Y., Ahmed, E.: Nuclear safeguards: technology, challenges, and future perspectives. Alex. Eng. J. 108, 188\u2013205 (2024)","journal-title":"Alex. Eng. J."},{"issue":"3","key":"33_CR14","doi-asserted-by":"publisher","first-page":"2209","DOI":"10.1109\/TNS.2013.2260868","volume":"60","author":"M Alamaniotis","year":"2013","unstructured":"Alamaniotis, M., Mattingly, J., Tsoukalas, L.H.: Kernel-based machine learning for background estimation of NaI low-count gamma-ray spectra. IEEE Trans. Nucl. Sci. 60(3), 2209\u20132221 (2013)","journal-title":"IEEE Trans. Nucl. Sci."},{"key":"33_CR15","doi-asserted-by":"crossref","unstructured":"Alamaniotis, M., Tsoukalas, L.H.: Developing intelligent radiation analysis systems: a hybrid wave-fuzzy methodology for analysis of radiation spectra. In: 27th International Conference on Tools with Artificial Intelligence, pp. 1114\u20131121 (2015)","DOI":"10.1109\/ICTAI.2015.158"},{"key":"33_CR16","doi-asserted-by":"crossref","unstructured":"Alamaniotis, M., Young, J., Tsoukalas, L.H.: Assessment of fuzzy logic radioisotopic pattern identifier on gamma-ray signals with application to security. In: Research Methods: Concepts, Methodologies, Tools, and Applications, pp. 1052\u20131071 (2015)","DOI":"10.4018\/978-1-4666-7456-1.ch046"},{"issue":"4","key":"33_CR17","doi-asserted-by":"publisher","first-page":"3014","DOI":"10.1109\/TNS.2013.2265307","volume":"60","author":"M Alamaniotis","year":"2013","unstructured":"Alamaniotis, M., Heifetz, A., Raptis, A.C., Tsoukalas, L.H.: Fuzzy-logic radioisotope identifier for gamma spectroscopy in source search. IEEE Trans. Nucl. Sci. 60(4), 3014\u20133024 (2013)","journal-title":"IEEE Trans. Nucl. Sci."},{"issue":"3","key":"33_CR18","doi-asserted-by":"publisher","first-page":"2222","DOI":"10.1109\/TNS.2013.2260869","volume":"60","author":"M Alamaniotis","year":"2013","unstructured":"Alamaniotis, M., Mattingly, J., Tsoukalas, L.H.: Pareto optimal gamma spectroscopic radionuclide identification using evolutionary computing. IEEE Trans. Nucl. Sci. 60(3), 2222\u20132231 (2013)","journal-title":"IEEE Trans. Nucl. Sci."}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advanced Information Networking and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-87772-8_33","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,3]],"date-time":"2025-07-03T18:37:48Z","timestamp":1751567868000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-87772-8_33"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031877711","9783031877728"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-87772-8_33","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"type":"print","value":"2367-4512"},{"type":"electronic","value":"2367-4520"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"23 April 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AINA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Networking and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Barcelona","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 April 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 April 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"39","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aina0","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/voyager.ce.fit.ac.jp\/conf\/aina\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}