{"id":"https://openalex.org/W4412119759","doi":"https://doi.org/10.1145/3719384.3719470","title":"Generating Swarm Satellite Data using LSTM and GAN-based models for Detecting Seismic Precursors","display_name":"Generating Swarm Satellite Data using LSTM and GAN-based models for Detecting Seismic Precursors","publication_year":2024,"publication_date":"2024-12-14","ids":{"openalex":"https://openalex.org/W4412119759","doi":"https://doi.org/10.1145/3719384.3719470"},"language":"en","primary_location":{"id":"doi:10.1145/3719384.3719470","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719384.3719470","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719384.3719470","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3719384.3719470","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118864868","display_name":"Arzaan Kankudti","orcid":null},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Arzaan Kankudti","raw_affiliation_strings":["School of Computing, Ulster University, Belfast, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0000-1059-5595","affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, Belfast, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027797605","display_name":"Yaxin Bi","orcid":"https://orcid.org/0000-0002-0979-4084"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yaxin Bi","raw_affiliation_strings":["School of Computing, Ulster University, United Kingdom, Belfast, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-0979-4084","affiliations":[{"raw_affiliation_string":"School of Computing, Ulster University, United Kingdom, Belfast, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"596","last_page":"602"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12424","display_name":"Earthquake Detection and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13018","display_name":"Seismology and Earthquake Studies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10110","display_name":"earthquake and tectonic studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6534960269927979},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.6107673048973083},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.6087560057640076},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4700048565864563},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.41534852981567383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29730695486068726},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.27396178245544434},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1159946620464325},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.09359219670295715},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.06140437722206116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6534960269927979},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.6107673048973083},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.6087560057640076},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4700048565864563},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.41534852981567383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29730695486068726},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.27396178245544434},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1159946620464325},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.09359219670295715},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.06140437722206116}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3719384.3719470","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719384.3719470","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719384.3719470","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire/0208f479-3c3c-4bdf-afce-db96e594dddc","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/0208f479-3c3c-4bdf-afce-db96e594dddc","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Kankudti, A A & Bi, Y 2025, Generating Swarm Satellite Data using LSTM and GAN-based models for Detecting Seismic Precursors. in AICCC '24: Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 596-602, 2024 7th Artificial Intelligence and Cloud Computing Conference, Tokyo, Japan, 14/12/24. https://doi.org/10.1145/3719384.3719470","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"doi:10.1145/3719384.3719470","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719384.3719470","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719384.3719470","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 7th Artificial Intelligence and Cloud Computing Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4412119759.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W591303395","https://openalex.org/W1986805835","https://openalex.org/W2000488623","https://openalex.org/W2064675550","https://openalex.org/W2111825632","https://openalex.org/W2552359970","https://openalex.org/W2608847424","https://openalex.org/W2894841399","https://openalex.org/W2943159637","https://openalex.org/W2989259119","https://openalex.org/W2990138404","https://openalex.org/W3014731124","https://openalex.org/W3046494982"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4288714711","https://openalex.org/W3200708550","https://openalex.org/W2736680465","https://openalex.org/W2771637876","https://openalex.org/W2013329914","https://openalex.org/W2392383081","https://openalex.org/W1618102658"],"abstract_inverted_index":{"Precise":[0],"understanding":[1],"of":[2,6,23,67,70,93,131],"the":[3,21,63,71,83,90,94,106,113,129],"evolution":[4],"mechanisms":[5],"earthquakes":[7],"remains":[8],"challenging":[9],"in":[10],"geophysics,<br/>seismology":[11],"and":[12,30,115],"artificial":[13],"intelligence":[14],"(AI)":[15],"related":[16],"areas.":[17],"This":[18],"work":[19],"leverages":[20],"advance":[22],"deep":[24,120,132],"learning<br/>predictive":[25],"(Long":[26],"Short-Term":[27],"Memory":[28],"(LSTM))":[29],"generative":[31],"(Generative":[32],"Adversarial":[33],"Networks":[34],"(GANs))<br/>approaches":[35],"to":[36,77,88,100,123],"develop":[37],"two":[38],"models":[39],"for":[40,54,135],"generating":[41],"synthetic":[42,79],"time":[43,95],"series":[44],"data":[45,76,91],"based":[46],"on":[47],"Swarm":[48],"satellite":[49,126],"data,<br/>which":[50],"is":[51,65,86,98],"then":[52],"used":[53],"detecting":[55],"anomalies":[56],"over":[57],"seismic":[58,136],"evolution.":[59],"Our":[60],"results":[61],"demonstrated":[62],"LSTM-based<br/>model":[64],"capable":[66],"making":[68],"use":[69],"dependence":[72],"learnt":[73],"from":[74],"time-series":[75],"predict":[78],"data.":[80],"By<br/>contrast,":[81],"although":[82],"GAN-based":[84],"model":[85],"able":[87],"capture":[89],"distribution":[92],"series,":[96],"it":[97],"not<br/>able":[99],"discriminate":[101],"non-informative":[102],"values":[103],"produced":[104],"by":[105],"generator":[107],"very":[108],"well.":[109],"These":[110],"findings":[111],"highlight<br/>both":[112],"promise":[114],"challenges":[116],"associated":[117],"with":[118],"applying":[119],"learning":[121,133],"techniques":[122],"generate":[124],"synthetic<br/>electromagnetic":[125],"data,":[127],"underscoring":[128],"potential":[130],"approaches":[134],"anomaly<br/>detection.":[137]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
