{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T21:37:11Z","timestamp":1768081031782,"version":"3.49.0"},"publisher-location":"Cham","reference-count":43,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031611360","type":"print"},{"value":"9783031611377","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-3-031-61137-7_23","type":"book-chapter","created":{"date-parts":[[2024,5,30]],"date-time":"2024-05-30T07:10:33Z","timestamp":1717053033000},"page":"246-261","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["RESISTO Project: Safeguarding the\u00a0Power Grid from\u00a0Meteorological Phenomena"],"prefix":"10.1007","author":[{"given":"Jacob","family":"Rodr\u00edguez-Rivero","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"L\u00f3pez-Garc\u00eda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ferm\u00edn","family":"Segovia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Javier","family":"Ram\u00edrez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan Manuel","family":"G\u00f3rriz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R.","family":"Serrano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D.","family":"P\u00e9rez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivan","family":"Maza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anibal","family":"Ollero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pol Paradell","family":"Sol\u00e0","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albert Gili","family":"Selga","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jose Luis","family":"Dom\u00ednguez-Garc\u00eda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Romero","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"A.","family":"Berro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roc\u00edo","family":"Dom\u00ednguez","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Inmaculada","family":"Prieto","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,5,31]]},"reference":[{"key":"23_CR1","unstructured":"Intergovernmental Panel on Climate Change (IPCC): Climate Change 2021 \u2013 The Physical Science Basis: Working Group I Contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge (2021)"},{"key":"23_CR2","unstructured":"GeoSolutions: MapStore 2 documentation (2023). Accessed 28 Feb 2024"},{"key":"23_CR3","unstructured":"GeoServer: Geoserver (2024). Accessed 28 Feb 2024"},{"key":"23_CR4","doi-asserted-by":"publisher","first-page":"108303","DOI":"10.1016\/j.ijepes.2022.108303","volume":"142","author":"P Stefanidou-Voziki","year":"2022","unstructured":"Stefanidou-Voziki, P., Cardoner-Valbuena, D., Villafafila-Robles, R., Dominguez-Garcia, J.L.: Data analysis and management for optimal application of an advanced ml-based fault location algorithm for low voltage grids. Int. J. Electr. Power Energy Syst. 142, 108303 (2022)","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"23_CR5","doi-asserted-by":"crossref","unstructured":"Paradell, P., et al.: Increasing resilience of power systems using intentional islanding; a comparison of binary genetic algorithm and deep learning based method. In: 2021 IEEE International Conference on Cyber Security and Resilience (CSR), pp. 491\u2013496 (2021)","DOI":"10.1109\/CSR51186.2021.9527918"},{"key":"23_CR6","doi-asserted-by":"crossref","unstructured":"Vitolina, S.: Development of lifetime data management algorithm for power transformers. In: Proceedings of the International Conference on Intelligent Systems, Modelling and Simulation, ISMS, September 2015, pp. 452\u2013457 (2015)","DOI":"10.1109\/ISMS.2014.83"},{"issue":"4","key":"23_CR7","doi-asserted-by":"publisher","first-page":"2379","DOI":"10.1109\/TDEI.2015.005025","volume":"22","author":"E M\u00fcllerov\u00e1","year":"2015","unstructured":"M\u00fcllerov\u00e1, E., Hr\u016fza, J., Velek, J., Ullman, I., St\u0159\u00edska, F.: Life cycle management of power transformers: results and discussion of case studies. IEEE Trans. Dielectr. Electr. Insul. 22(4), 2379\u20132389 (2015)","journal-title":"IEEE Trans. Dielectr. Electr. Insul."},{"key":"23_CR8","doi-asserted-by":"publisher","first-page":"1129","DOI":"10.1016\/j.ijepes.2014.08.008","volume":"64","author":"M Yazdani-Asrami","year":"2015","unstructured":"Yazdani-Asrami, M., Taghipour-Gorjikolaie, M., Razavi, S.M., Gholamian, S.A.: A novel intelligent protection system for power transformers considering possible electrical faults, inrush current, CT saturation and over-excitation. Int. J. Electr. Power Energy Syst. 64, 1129\u20131140 (2015)","journal-title":"Int. J. Electr. Power Energy Syst."},{"key":"23_CR9","unstructured":"Dolata, B., Coenen, S.: Online condition monitoring becomes standard configuration of transformers-practical application for optimized operation, maintenance and to avoid failures. In: E-ARWtr2016 Transformers, Advanced Research Workshop on Transformers, La Toja Island, Spain, vol.\u00a02 (2016)"},{"issue":"3","key":"23_CR10","doi-asserted-by":"publisher","first-page":"39","DOI":"10.1109\/MEI.2014.6804740","volume":"30","author":"N Bakar","year":"2014","unstructured":"Bakar, N., Abu-Siada, A., Islam, S.: A review of dissolved gas analysis measurement and interpretation techniques. IEEE Electr. Insul. Mag. 30(3), 39\u201349 (2014)","journal-title":"IEEE Electr. Insul. Mag."},{"key":"23_CR11","doi-asserted-by":"publisher","first-page":"107909","DOI":"10.1016\/j.measurement.2020.107909","volume":"161","author":"M Kunicki","year":"2020","unstructured":"Kunicki, M., Borucki, S., Zmarz\u0142y, D., Frymus, J.: Data acquisition system for on-line temperature monitoring in power transformers. Meas. J. Int. Meas. Confed. 161, 107909 (2020)","journal-title":"Meas. J. Int. Meas. Confed."},{"key":"23_CR12","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1016\/j.swevo.2017.03.005","volume":"36","author":"A Peimankar","year":"2017","unstructured":"Peimankar, A., Weddell, S.J., Jalal, T., Lapthorn, A.C.: Evolutionary multi-objective fault diagnosis of power transformers. Swarm Evol. Comput. 36, 62\u201375 (2017)","journal-title":"Swarm Evol. Comput."},{"issue":"11","key":"23_CR13","doi-asserted-by":"publisher","first-page":"2015","DOI":"10.1016\/j.epsr.2011.06.007","volume":"81","author":"JL Velasquez-Contreras","year":"2011","unstructured":"Velasquez-Contreras, J.L., Sanz-Bobi, M.A., Arellano, S.G.: General asset management model in the context of an electric utility: application to power transformers. Electr. Power Syst. Res. 81(11), 2015\u20132037 (2011)","journal-title":"Electr. Power Syst. Res."},{"key":"23_CR14","series-title":"Contributions to Statistics","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1007\/978-3-030-56219-9_26","volume-title":"Theory and Applications of Time Series Analysis","author":"J Ram\u00edrez","year":"2020","unstructured":"Ram\u00edrez, J., et al.: Power transformer forecasting in smart grids using narx neural networks. In: Valenzuela, O., Rojas, F., Herrera, L.J., Pomares, H., Rojas, I. (eds.) ITISE 2019. CS, pp. 401\u2013414. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-56219-9_26"},{"key":"23_CR15","doi-asserted-by":"publisher","first-page":"107014","DOI":"10.1016\/j.ijepes.2021.107014","volume":"131","author":"AS de Melo","year":"2021","unstructured":"de Melo, A.S., Calil, W.V., Salazar, P.D.P., Liboni, L.H.B., Costa, E.C.M., Flauzino, R.A.: Applied methodology for temperature numerical evaluation on high current leads in power transformers. Int. J. Electr. Power Energy Syst. 131, 107014 (2021)","journal-title":"Int. J. Electr. Power Energy Syst."},{"issue":"7","key":"23_CR16","doi-asserted-by":"publisher","first-page":"508","DOI":"10.3846\/jcem.2018.6186","volume":"24","author":"GF Sirca","year":"2018","unstructured":"Sirca, G.F., Adeli, H.: Infrared thermography for detecting defects in concrete structures. J. Civ. Eng. Manage. 24(7), 508\u2013515 (2018)","journal-title":"J. Civ. Eng. Manage."},{"issue":"11","key":"23_CR17","doi-asserted-by":"publisher","first-page":"1416","DOI":"10.1111\/mice.12683","volume":"36","author":"L Linjun","year":"2021","unstructured":"Linjun, L., Dai, F., Zaniewski, J.P.: Automatic roller path tracking and mapping for pavement compaction using infrared thermography. Comput. Aided Civ. Infrastruct. Eng. 36(11), 1416\u20131434 (2021)","journal-title":"Comput. Aided Civ. Infrastruct. Eng."},{"issue":"9","key":"23_CR18","doi-asserted-by":"publisher","first-page":"512","DOI":"10.1784\/insi.2008.50.9.512","volume":"50","author":"S Bagavathiappan","year":"2008","unstructured":"Bagavathiappan, S., Saravanan, T., George, N.P., Philip, J., Jayakumar, T., Raj, B.: Condition monitoring of exhaust system blowers using infrared thermography. Insight-Non-Destr. Test. Condition Monit. 50(9), 512\u2013515 (2008)","journal-title":"Insight-Non-Destr. Test. Condition Monit."},{"issue":"10 II","key":"23_CR19","doi-asserted-by":"publisher","first-page":"4124","DOI":"10.1063\/1.1789585","volume":"75","author":"K Itami","year":"2004","unstructured":"Itami, K., Sugie, T., Vayakis, G., Walker, C.: Multiplexing thermography for international thermonuclear experimental reactor divertor targets. Rev. Sci. Instrum. 75(10 II), 4124\u20134128 (2004)","journal-title":"Rev. Sci. Instrum."},{"key":"23_CR20","doi-asserted-by":"publisher","first-page":"103623","DOI":"10.1016\/j.infrared.2020.103623","volume":"113","author":"PJ Zarco-Peri\u00f1\u00e1n","year":"2021","unstructured":"Zarco-Peri\u00f1\u00e1n, P.J., Mart\u00ednez-Ramos, J.L., Zarco-Soto, F.J.: A novel method to correct temperature problems revealed by infrared thermography in electrical substations. Infrared Phys. Technol. 113, 103623 (2021)","journal-title":"Infrared Phys. Technol."},{"issue":"4","key":"23_CR21","doi-asserted-by":"publisher","first-page":"353","DOI":"10.3233\/ICA-230712","volume":"30","author":"F Segovia","year":"2023","unstructured":"Segovia, F.: Connected system for monitoring electrical power transformers using thermal imaging. Integr. Comput. Aided Eng. 30(4), 353\u2013368 (2023)","journal-title":"Integr. Comput. Aided Eng."},{"key":"23_CR22","unstructured":"Ramirez, J.: Prediction of transformer temperature for energy distribution smart grids using recursive neural networks. In: ITISE 2019, Proceedings of Papers, Volume 1, September 2019, pp. 167\u2013177 (2019)"},{"key":"23_CR23","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.neucom.2020.05.078","volume":"410","author":"JM G\u00f3rriz","year":"2020","unstructured":"G\u00f3rriz, J.M., et al.: Artificial intelligence within the interplay between natural and artificial computation: advances in data science, trends and applications. Neurocomputing 410, 237\u2013270 (2020)","journal-title":"Neurocomputing"},{"key":"23_CR24","doi-asserted-by":"publisher","first-page":"101945","DOI":"10.1016\/j.inffus.2023.101945","volume":"100","author":"JM G\u00f3rriz","year":"2023","unstructured":"G\u00f3rriz, J.M., et al.: Computational approaches to explainable artificial intelligence: advances in theory, applications and trends. Inf. Fus. 100, 101945 (2023)","journal-title":"Inf. Fus."},{"issue":"2","key":"23_CR25","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1109\/JAS.2020.1003021","volume":"7","author":"Y Ma","year":"2020","unstructured":"Ma, Y., Wang, Z., Yang, H., Yang, L.: Artificial intelligence applications in the development of autonomous vehicles: a survey. IEEE\/CAA J. Automatica Sinica 7(2), 315\u2013329 (2020)","journal-title":"IEEE\/CAA J. Automatica Sinica"},{"key":"23_CR26","doi-asserted-by":"publisher","first-page":"106549","DOI":"10.1016\/j.cmpb.2021.106549","volume":"214","author":"D L\u00f3pez-Garc\u00eda","year":"2022","unstructured":"L\u00f3pez-Garc\u00eda, D., Pe\u00f1alver, J.M.G., G\u00f3rriz, J.M., Ruz, M.: MVPAlab: a machine learning decoding toolbox for multidimensional electroencephalography data. Comput. Meth. Prog. Biomed. 214, 106549 (2022)","journal-title":"Comput. Meth. Prog. Biomed."},{"key":"23_CR27","doi-asserted-by":"publisher","unstructured":"L\u00f3pez-Garc\u00eda, D., Gonz\u00e1lez-Pe\u00f1alver, J.M., G\u00f3rriz, J.M., Ruz, M.: Representational similarity analysis: a preliminary step to fMRI-EEG data fusion in MVPAlab. In: Vicente, J.M.F., \u00c1lvarez-S\u00e1nchez, J.R., de la Paz L\u00f3pez, F., Adeli, H. (eds.) Artificial Intelligence in Neuroscience: Affective Analysis and Health Applications, pp. 84\u201394. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-06242-1_9","DOI":"10.1007\/978-3-031-06242-1_9"},{"key":"23_CR28","doi-asserted-by":"publisher","first-page":"107450","DOI":"10.1016\/j.compbiomed.2023.107450","volume":"165","author":"M Jafari","year":"2023","unstructured":"Jafari, M., et al.: Emotion recognition in EEG signals using deep learning methods: a review. Comput. Biol. Med. 165, 107450 (2023)","journal-title":"Comput. Biol. Med."},{"key":"23_CR29","unstructured":"L\u00f3pez-Garc\u00eda, D., Ruz, M., Ram\u00edrez, J., G\u00f3rriz, J.M.: Automatic detection of sleep disorders: multi-class automatic classification algorithms based on support vector machines. In: International Conference on Time Series and Forecasting, ITISE 2018, vol. 3, pp. 1270\u20131280 (2018)"},{"key":"23_CR30","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/s10489-023-05155-6","volume":"54","author":"M Jafari","year":"2024","unstructured":"Jafari, M., et al.: Empowering precision medicine: AI-driven schizophrenia diagnosis via EEG signals: a comprehensive review from 2002\u20132023. Appl. Intell. 54, 35\u201379 (2024). https:\/\/doi.org\/10.1007\/s10489-023-05155-6","journal-title":"Appl. Intell."},{"key":"23_CR31","doi-asserted-by":"publisher","first-page":"25553","DOI":"10.1109\/ACCESS.2024.3366802","volume":"12","author":"YA Mohamed","year":"2024","unstructured":"Mohamed, Y.A., Kannan, A., Bashir, M., Mohamed, A.H., Adiel, M.A.E., Elsadig, M.A.: The impact of artificial intelligence on language translation: a review. IEEE Access 12, 25553\u201325579 (2024)","journal-title":"IEEE Access"},{"issue":"1","key":"23_CR32","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1996","unstructured":"Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62\u201366 (1996)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"issue":"10 SPEC. ISS.","key":"23_CR33","doi-asserted-by":"publisher","first-page":"761","DOI":"10.1016\/j.imavis.2004.02.006","volume":"22","author":"J Matas","year":"2004","unstructured":"Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide-baseline stereo from maximally stable extremal regions. Image Vis. Comput. 22(10 SPEC. ISS.), 761\u2013767 (2004)","journal-title":"Image Vis. Comput."},{"key":"23_CR34","doi-asserted-by":"publisher","first-page":"114955","DOI":"10.1109\/ACCESS.2019.2935551","volume":"7","author":"T He","year":"2019","unstructured":"He, T., Zeng, Y., Zhuangli, H.: Research of multi-rotor UAVs detailed autonomous inspection technology of transmission lines based on route planning. IEEE Access 7, 114955\u2013114965 (2019)","journal-title":"IEEE Access"},{"issue":"3","key":"23_CR35","doi-asserted-by":"publisher","first-page":"1097","DOI":"10.1007\/s10846-018-0947-9","volume":"95","author":"H Baik","year":"2019","unstructured":"Baik, H., Valenzuela, J.: Unmanned aircraft system path planning for visually inspecting electric transmission towers. J. Intell. Robot. Syst. 95(3), 1097\u20131111 (2019)","journal-title":"J. Intell. Robot. Syst."},{"key":"23_CR36","doi-asserted-by":"crossref","unstructured":"Iversen, N., Kramberger, A., Schofield, O.B., Ebeid, E.: Pneumatic-mechanical systems in UAVs: autonomous power line sensor unit deployment. In: 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 548\u2013554. IEEE (2021)","DOI":"10.1109\/ICRA48506.2021.9560946"},{"key":"23_CR37","doi-asserted-by":"crossref","unstructured":"Iversen, N., Schofield, O.B., Cousin, L., Ayoub, N., B\u00f6gel, G.V., Ebeid, E.: Design, integration and implementation of an intelligent and self-recharging drone system for autonomous power line inspection. In: 2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 4168\u20134175. IEEE (2021)","DOI":"10.1109\/IROS51168.2021.9635924"},{"issue":"9","key":"23_CR38","doi-asserted-by":"publisher","first-page":"687","DOI":"10.12720\/jcm.9.9.687-692","volume":"9","author":"C Deng","year":"2014","unstructured":"Deng, C., Wang, S., Huang, Z., Tan, Z., Liu, J.: Unmanned aerial vehicles for power line inspection: a cooperative way in platforms and communications. J. Commun. 9(9), 687\u2013692 (2014)","journal-title":"J. Commun."},{"key":"23_CR39","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1007\/978-90-481-9707-1_119","volume-title":"Handbook of Unmanned Aerial Vehicles","author":"I Maza","year":"2015","unstructured":"Maza, I., Ollero, A., Casado, E., Scarlatti, D.: Classification of multi-UAV architectures. In: Valavanis, K.P., Vachtsevanos, G.J. (eds.) Handbook of Unmanned Aerial Vehicles, pp. 953\u2013975. Springer, Dordrecht (2015). https:\/\/doi.org\/10.1007\/978-90-481-9707-1_119"},{"issue":"3","key":"23_CR40","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1002\/rob.20383","volume":"28","author":"I Maza","year":"2011","unstructured":"Maza, I., Caballero, F., Capitan, J., Martinez de Dios, J.R., Ollero, A.: A distributed architecture for a robotic platform with aerial sensor transportation and self-deployment capabilities. J. Field Robot. 28(3), 303\u2013328 (2011)","journal-title":"J. Field Robot."},{"key":"23_CR41","unstructured":"Quigley, M., et al.: ROS: an open-source Robot Operating System. In: ICRA Workshop on Open Source Software (2009)"},{"key":"23_CR42","unstructured":"SMACH - a task-level architecture for rapidly creating complex robot behavior in ROS (2024). http:\/\/wiki.ros.org\/smach. Accessed 05 Feb 2024"},{"key":"23_CR43","unstructured":"Multimaster fkie - The metapackage to combine the nodes required to establish and manage a multimaster network (2024). https:\/\/hackmd.io\/@octobotics\/rknm7a6ys. Accessed 05 Feb 2024"}],"container-title":["Lecture Notes in Computer Science","Bioinspired Systems for Translational Applications: From Robotics to Social Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-61137-7_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T18:11:00Z","timestamp":1732126260000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-61137-7_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031611360","9783031611377"],"references-count":43,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-61137-7_23","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"31 May 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IWINAC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Work-Conference on the Interplay Between Natural and Artificial Computation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Olh\u00e2o","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portugal","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":"31 May 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 June 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iwinac2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/iwinac.eu\/iwinac.org\/iwinac2024\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}