{"id":"https://openalex.org/W4393241102","doi":"https://doi.org/10.1109/tgrs.2024.3382302","title":"Augmented Intelligence Forecasting and What-If-Scenario Analytics With Quantified Uncertainty for Big Real-Time Slope Monitoring Data","display_name":"Augmented Intelligence Forecasting and What-If-Scenario Analytics With Quantified Uncertainty for Big Real-Time Slope Monitoring Data","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4393241102","doi":"https://doi.org/10.1109/tgrs.2024.3382302"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2024.3382302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3382302","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106077126","display_name":"Antoinette Tordesillas","orcid":"https://orcid.org/0000-0001-5497-292X"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Antoinette Tordesillas","raw_affiliation_strings":["School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5497-292X","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014186834","display_name":"Hangfei Zheng","orcid":"https://orcid.org/0000-0002-4016-1373"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Hangfei Zheng","raw_affiliation_strings":["School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4016-1373","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032763896","display_name":"Guoqi Qian","orcid":"https://orcid.org/0000-0003-3818-0564"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"The University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guoqi Qian","raw_affiliation_strings":["School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-3818-0564","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC, Australia","institution_ids":["https://openalex.org/I165779595"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107011129","display_name":"Patrick Bellett","orcid":null},"institutions":[{"id":"https://openalex.org/I4210104857","display_name":"Orica (Australia)","ror":"https://ror.org/01gr09x64","country_code":"AU","type":"company","lineage":["https://openalex.org/I4210104857"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Patrick Bellett","raw_affiliation_strings":["GroundProbe, Orica, Windsor, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GroundProbe, Orica, Windsor, QLD, Australia","institution_ids":["https://openalex.org/I4210104857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102949020","display_name":"Peter Saunders","orcid":"https://orcid.org/0009-0005-2428-0646"},"institutions":[{"id":"https://openalex.org/I4210104857","display_name":"Orica (Australia)","ror":"https://ror.org/01gr09x64","country_code":"AU","type":"company","lineage":["https://openalex.org/I4210104857"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peter Saunders","raw_affiliation_strings":["GroundProbe, Orica, Windsor, QLD, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GroundProbe, Orica, Windsor, QLD, Australia","institution_ids":["https://openalex.org/I4210104857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7492,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.91113993,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9132999777793884,"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"}},"topics":[{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9132999777793884,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6764644384384155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6687570810317993},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6006006598472595},{"id":"https://openalex.org/keywords/data-analysis","display_name":"Data analysis","score":0.44772839546203613},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.43976637721061707},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4272821247577667},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4144699275493622},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08960416913032532}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6764644384384155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6687570810317993},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6006006598472595},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.44772839546203613},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.43976637721061707},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4272821247577667},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4144699275493622},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08960416913032532}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2024.3382302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2024.3382302","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.8500000238418579,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":79,"referenced_works":["https://openalex.org/W75420034","https://openalex.org/W1574019121","https://openalex.org/W1578712794","https://openalex.org/W1587141723","https://openalex.org/W1588163064","https://openalex.org/W1925078374","https://openalex.org/W2054512946","https://openalex.org/W2079047883","https://openalex.org/W2089314377","https://openalex.org/W2106290794","https://openalex.org/W2110603299","https://openalex.org/W2130140724","https://openalex.org/W2139238934","https://openalex.org/W2142635246","https://openalex.org/W2153562738","https://openalex.org/W2168175751","https://openalex.org/W2276378382","https://openalex.org/W2335059323","https://openalex.org/W2487200295","https://openalex.org/W2581555233","https://openalex.org/W2581987418","https://openalex.org/W2589710162","https://openalex.org/W2594847594","https://openalex.org/W2606837247","https://openalex.org/W2619874669","https://openalex.org/W2691421383","https://openalex.org/W2768074118","https://openalex.org/W2792340588","https://openalex.org/W2792414936","https://openalex.org/W2885417716","https://openalex.org/W2889512547","https://openalex.org/W2896110843","https://openalex.org/W2898777543","https://openalex.org/W2914576261","https://openalex.org/W2922084453","https://openalex.org/W2932021675","https://openalex.org/W2932705528","https://openalex.org/W2990138404","https://openalex.org/W2995637834","https://openalex.org/W2996838503","https://openalex.org/W2999826547","https://openalex.org/W3003657101","https://openalex.org/W3007711106","https://openalex.org/W3009841698","https://openalex.org/W3011154232","https://openalex.org/W3016694328","https://openalex.org/W3017536262","https://openalex.org/W3036290273","https://openalex.org/W3037889708","https://openalex.org/W3048444358","https://openalex.org/W3089118372","https://openalex.org/W3103969365","https://openalex.org/W3138089561","https://openalex.org/W3155872716","https://openalex.org/W3158285378","https://openalex.org/W3163081491","https://openalex.org/W3169836317","https://openalex.org/W3172599138","https://openalex.org/W3193118953","https://openalex.org/W3195311589","https://openalex.org/W3201521794","https://openalex.org/W3205352582","https://openalex.org/W4206011195","https://openalex.org/W4213035291","https://openalex.org/W4214555584","https://openalex.org/W4226449712","https://openalex.org/W4237591687","https://openalex.org/W4244442216","https://openalex.org/W4280546996","https://openalex.org/W4281825536","https://openalex.org/W4285164099","https://openalex.org/W4291018994","https://openalex.org/W4293065895","https://openalex.org/W4295857882","https://openalex.org/W4302362364","https://openalex.org/W4313214326","https://openalex.org/W4321381363","https://openalex.org/W4378619463","https://openalex.org/W6762250955"],"related_works":["https://openalex.org/W4226266853","https://openalex.org/W4210252074","https://openalex.org/W4245701730","https://openalex.org/W2511794504","https://openalex.org/W2911648135","https://openalex.org/W3092201768","https://openalex.org/W2886451445","https://openalex.org/W3108449883","https://openalex.org/W2551093110","https://openalex.org/W2796632413"],"abstract_inverted_index":{"A":[0],"long-standing":[1],"challenge":[2],"for":[3,23,85,96,170],"forecasting":[4,21],"from":[5,37,72,119],"big,":[6],"spatiotemporal":[7],"data":[8,71,118,133],"with":[9],"nonstationarity":[10],"is":[11,90],"scalability.":[12],"Here":[13],"we":[14,60,110],"overcome":[15],"this":[16,159],"by":[17],"developing":[18],"a":[19,65,73,112,120,124],"scalable":[20],"framework":[22,33,63],"slope":[24,66,75,122,172],"stability":[25,67,173],"and":[26,29,40,45,49,105,144,157,175],"hazard":[27],"dynamics":[28,41],"what-if-scenario":[30],"analytics.":[31],"The":[32,80],"incorporates":[34],"recent":[35],"findings":[36],"granular":[38],"physics":[39],"of":[42,82,107,146,151],"precursory":[43],"failure,":[44],"delivers":[46],"explainable,":[47],"actionable":[48],"timely":[50],"intelligence":[51],"on":[52],"an":[53,77,166],"impending":[54],"collapse.":[55],"To":[56],"demonstrate":[57],"its":[58],"performance,":[59],"applied":[61],"the":[62,86,101,162],"to":[64,92,132,135,138],"radar":[68],"(SSR)":[69],"monitoring":[70,88],"rock":[74],"in":[76,130,154,177],"operational":[78],"mine.":[79],"forecast":[81,147],"surface":[83],"motion":[84],"entire":[87],"domain":[89],"used":[91],"establish":[93],"probabilistic":[94],"outcomes":[95],"what-if-scenarios,":[97],"as":[98,100],"well":[99],"likely":[102],"location,":[103],"geometry":[104],"timing":[106],"failure.":[108],"Next":[109],"implement":[111],"four-pronged":[113],"approach":[114],"that":[115],"exploits":[116],"SSR":[117],"second":[121],"having":[123],"different":[125],"but":[126],"similarly":[127],"complex":[128],"dynamics,":[129],"addition":[131],"simulations,":[134],"test":[136],"robustness":[137],"false":[139],"positive":[140],"and/or":[141],"negative":[142],"predictions":[143],"reproducibility":[145],"performance.":[148],"In":[149],"anticipation":[150],"synergistic":[152],"advances":[153],"remote":[155],"sensing":[156],"analytics,":[158],"effort":[160],"takes":[161],"first":[163],"steps":[164],"toward":[165],"Augmented":[167],"Intelligence":[168],"platform":[169],"future-focused":[171],"analytics":[174],"decision-making":[176],"real-time.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
