{"id":"https://openalex.org/W4387914255","doi":"https://doi.org/10.1109/codit58514.2023.10284245","title":"Combining MLP and Feature Engineering to Predict Avalanche Severity","display_name":"Combining MLP and Feature Engineering to Predict Avalanche Severity","publication_year":2023,"publication_date":"2023-07-03","ids":{"openalex":"https://openalex.org/W4387914255","doi":"https://doi.org/10.1109/codit58514.2023.10284245"},"language":"en","primary_location":{"id":"doi:10.1109/codit58514.2023.10284245","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-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/A5055455104","display_name":"Mounira Sassi","orcid":"https://orcid.org/0000-0001-9220-8738"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Mounira Sassi","raw_affiliation_strings":["National School of Computer Science, University of Manouba,Tunisia","National School of Computer Science, University of Manouba, Tunisia"],"affiliations":[{"raw_affiliation_string":"National School of Computer Science, University of Manouba,Tunisia","institution_ids":["https://openalex.org/I83259278"]},{"raw_affiliation_string":"National School of Computer Science, University of Manouba, Tunisia","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031182207","display_name":"Hanen Idoudi","orcid":"https://orcid.org/0000-0002-1545-2072"},"institutions":[{"id":"https://openalex.org/I83259278","display_name":"Manouba University","ror":"https://ror.org/0503ejf32","country_code":"TN","type":"education","lineage":["https://openalex.org/I83259278"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Hanen Idoudi","raw_affiliation_strings":["National School of Computer Science, University of Manouba,Tunisia","National School of Computer Science, University of Manouba, Tunisia"],"affiliations":[{"raw_affiliation_string":"National School of Computer Science, University of Manouba,Tunisia","institution_ids":["https://openalex.org/I83259278"]},{"raw_affiliation_string":"National School of Computer Science, University of Manouba, Tunisia","institution_ids":["https://openalex.org/I83259278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059489534","display_name":"Khadija Bousselmi","orcid":"https://orcid.org/0000-0002-9477-3455"},"institutions":[{"id":"https://openalex.org/I70900168","display_name":"Universit\u00e9 Savoie Mont Blanc","ror":"https://ror.org/04gqg1a07","country_code":"FR","type":"education","lineage":["https://openalex.org/I70900168"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Khadija Bousselmi","raw_affiliation_strings":["University of Savoie,Mont Blanc,France","University of Savoie, Mont Blanc, France"],"affiliations":[{"raw_affiliation_string":"University of Savoie,Mont Blanc,France","institution_ids":["https://openalex.org/I70900168"]},{"raw_affiliation_string":"University of Savoie, Mont Blanc, France","institution_ids":["https://openalex.org/I70900168"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055455104"],"corresponding_institution_ids":["https://openalex.org/I83259278"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26184014,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"27","issue":null,"first_page":"151","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10535","display_name":"Landslides and related hazards","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10644","display_name":"Cryospheric studies and observations","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"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/T10555","display_name":"Fire effects on ecosystems","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.6971602439880371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6558891534805298},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.6256523132324219},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.5989457368850708},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5788260102272034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5172839164733887},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.500251293182373},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.46607065200805664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4359976649284363},{"id":"https://openalex.org/keywords/natural-disaster","display_name":"Natural disaster","score":0.4178968071937561},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.31667423248291016},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23752394318580627},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.21116411685943604},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12368994951248169}],"concepts":[{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.6971602439880371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6558891534805298},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.6256523132324219},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.5989457368850708},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5788260102272034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5172839164733887},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.500251293182373},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.46607065200805664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4359976649284363},{"id":"https://openalex.org/C166566181","wikidata":"https://www.wikidata.org/wiki/Q8065","display_name":"Natural disaster","level":2,"score":0.4178968071937561},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.31667423248291016},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23752394318580627},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.21116411685943604},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12368994951248169},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/codit58514.2023.10284245","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/codit58514.2023.10284245","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04835972v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04835972","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2023 9th International Conference on Control, Decision and Information Technologies (CoDIT), Jul 2023, Rome, France. pp.151-156, ⟨10.1109/CoDIT58514.2023.10284245⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2148143831","https://openalex.org/W2158698691","https://openalex.org/W2564740244","https://openalex.org/W2791315675","https://openalex.org/W2952726898","https://openalex.org/W2977796009","https://openalex.org/W3009231054","https://openalex.org/W3094423597","https://openalex.org/W3116856405","https://openalex.org/W3177903606","https://openalex.org/W4283716808"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2523437662","https://openalex.org/W89844371","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2136232598"],"abstract_inverted_index":{"Disasters":[0],"and":[1,33,64,71,77,89,117],"emergencies":[2],"management":[3,17],"requires":[4],"four":[5],"main":[6],"phases.":[7],"Mitigation":[8],"phase":[9,13],"is":[10],"the":[11,15,24,30,49,57,66,102,125],"first":[12],"of":[14,48,68,104],"crisis":[16,35],"cycle.":[18],"It":[19],"basically":[20],"aims":[21],"to":[22,28,40,95],"mitigate":[23],"danger":[25],"or":[26],"even":[27],"avoid":[29],"crisis.":[31],"Understanding":[32],"anticipating":[34],"occurrence":[36,76],"are":[37,46],"key":[38],"activities":[39],"succeed":[41],"this":[42,60],"phase.":[43],"Snow":[44],"avalanches":[45,87],"one":[47],"natural":[50],"disasters":[51],"that":[52,99],"affects":[53],"several":[54],"countries":[55],"in":[56],"world.":[58],"In":[59],"paper,":[61],"we":[62,90,111,118],"study":[63],"discuss":[65],"impact":[67],"land":[69],"characteristics":[70],"snow":[72],"stability":[73],"on":[74],"avalanche":[75],"severity":[78],"level.":[79],"We":[80],"introduce":[81],"a":[82,92,113,120],"Machine":[83],"learning":[84],"framework":[85],"for":[86],"forecasting":[88],"use":[91],"real":[93],"dataset":[94],"determine":[96,119],"prominent":[97],"factors":[98],"can":[100],"predict":[101],"class/severity":[103],"an":[105],"avalanche.":[106],"To":[107],"achieve":[108],"our":[109],"goal,":[110],"apply":[112],"Multi-Layer":[114],"Perceptron":[115],"(MLP)":[116],"feature":[121],"subset":[122],"which":[123],"achieves":[124],"highest":[126],"accuracy":[127]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}