{"id":"https://openalex.org/W4319779877","doi":"https://doi.org/10.1109/imcom56909.2023.10035598","title":"Modified Fast and Robust Fuzzy C-means Algorithm for Flood Damage Assessment using Optimal Image Segmentation Cluster Number","display_name":"Modified Fast and Robust Fuzzy C-means Algorithm for Flood Damage Assessment using Optimal Image Segmentation Cluster Number","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4319779877","doi":"https://doi.org/10.1109/imcom56909.2023.10035598"},"language":"en","primary_location":{"id":"doi:10.1109/imcom56909.2023.10035598","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/imcom56909.2023.10035598","pdf_url":null,"source":{"id":"https://openalex.org/S4363608560","display_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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/A5075703438","display_name":"Marck Herzon C. Barrion","orcid":"https://orcid.org/0009-0001-6762-2344"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":true,"raw_author_name":"Marck Herzon C. Barrion","raw_affiliation_strings":["De La Salle University-Manila,Department of Electronics and Computer Engineering,Manila,Philippines","Department of Electronics and Computer Engineering, De La Salle University-Manila, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"De La Salle University-Manila,Department of Electronics and Computer Engineering,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]},{"raw_affiliation_string":"Department of Electronics and Computer Engineering, De La Salle University-Manila, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084335648","display_name":"Argel A. Bandala","orcid":"https://orcid.org/0000-0002-3568-4858"},"institutions":[{"id":"https://openalex.org/I5996616","display_name":"De La Salle University","ror":"https://ror.org/04xftk194","country_code":"PH","type":"education","lineage":["https://openalex.org/I5996616"]}],"countries":["PH"],"is_corresponding":false,"raw_author_name":"Argel A. Bandala","raw_affiliation_strings":["De La Salle University-Manila,Department of Electronics and Computer Engineering,Manila,Philippines","Department of Electronics and Computer Engineering, De La Salle University-Manila, Manila, Philippines"],"affiliations":[{"raw_affiliation_string":"De La Salle University-Manila,Department of Electronics and Computer Engineering,Manila,Philippines","institution_ids":["https://openalex.org/I5996616"]},{"raw_affiliation_string":"Department of Electronics and Computer Engineering, De La Salle University-Manila, Manila, Philippines","institution_ids":["https://openalex.org/I5996616"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075703438"],"corresponding_institution_ids":["https://openalex.org/I5996616"],"apc_list":null,"apc_paid":null,"fwci":0.4558,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72180451,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.5998072624206543},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.585540235042572},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5649063587188721},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.5473728775978088},{"id":"https://openalex.org/keywords/flooding","display_name":"Flooding (psychology)","score":0.5365747213363647},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5127936005592346},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.486320823431015},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4687982201576233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4506438672542572},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.42996945977211},{"id":"https://openalex.org/keywords/damages","display_name":"Damages","score":0.4279765486717224},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3977837562561035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26884472370147705}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5998072624206543},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.585540235042572},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5649063587188721},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5473728775978088},{"id":"https://openalex.org/C186594467","wikidata":"https://www.wikidata.org/wiki/Q1429176","display_name":"Flooding (psychology)","level":2,"score":0.5365747213363647},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5127936005592346},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.486320823431015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4687982201576233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4506438672542572},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.42996945977211},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.4279765486717224},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3977837562561035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26884472370147705},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/imcom56909.2023.10035598","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/imcom56909.2023.10035598","pdf_url":null,"source":{"id":"https://openalex.org/S4363608560","display_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 17th International Conference on Ubiquitous Information Management and Communication (IMCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W174812315","https://openalex.org/W1654238692","https://openalex.org/W2025767687","https://openalex.org/W2113076747","https://openalex.org/W2135305908","https://openalex.org/W2135353422","https://openalex.org/W2558792743","https://openalex.org/W2785177491","https://openalex.org/W2963719509","https://openalex.org/W2984438646","https://openalex.org/W3010884124","https://openalex.org/W3011127983","https://openalex.org/W3017318572","https://openalex.org/W3114694649","https://openalex.org/W4200595693","https://openalex.org/W4393579632"],"related_works":["https://openalex.org/W4205240985","https://openalex.org/W2314597598","https://openalex.org/W1527183021","https://openalex.org/W3125296675","https://openalex.org/W4235320026","https://openalex.org/W3124239800","https://openalex.org/W2365977737","https://openalex.org/W1577024311","https://openalex.org/W4387399630","https://openalex.org/W2170856278"],"abstract_inverted_index":{"The":[0],"issue":[1],"of":[2,7,128],"flooding":[3],"has":[4],"been":[5],"one":[6],"the":[8,30,51,58,68,71,77,85,93,104,108,112,119,126,129,134,137],"common":[9],"global":[10],"natural":[11],"disasters":[12],"that":[13,46],"leads":[14],"to":[15,65,98,107,147],"costly":[16],"property":[17],"destruction":[18],"and":[19,60,89,92],"hazardous":[20],"situations.":[21],"Fortunately,":[22],"unmanned":[23],"aerial":[24,109],"vehicle":[25],"imagery":[26],"advancements":[27],"have":[28,116],"paved":[29],"way":[31],"for":[32,67,73,139],"assessing":[33],"flood":[34],"damages.":[35],"Raw":[36],"images":[37,110],"taken":[38],"may":[39],"further":[40],"be":[41],"processed":[42],"through":[43],"image":[44,101,130],"segmentation":[45],"is":[47],"done":[48],"by":[49],"applying":[50],"Fuzzy":[52,62],"C-means":[53,63],"method.":[54],"This":[55],"paper":[56],"modifies":[57],"fast":[59],"robust":[61],"algorithm":[64,106,135],"account":[66],"issues":[69],"regarding":[70],"need":[72,138],"stronger":[74],"assumptions":[75,143],"on":[76,125],"initial":[78,142],"cluster":[79,121],"number.":[80],"Three":[81],"validity":[82],"coefficients,":[83],"namely":[84],"Partition":[86],"Coefficient,":[87,95],"Xie":[88],"Beni's":[90],"Index,":[91],"Silhouette":[94],"were":[96],"calculated":[97],"obtain":[99],"ideal":[100],"partitioning.":[102],"Applying":[103],"proposed":[105],"from":[111],"AIDER":[113],"dataset,":[114],"results":[115],"shown":[117],"how":[118],"optimal":[120],"number":[122],"varied":[123],"depending":[124],"elements":[127],"being":[131,145],"segmented.":[132],"Nonetheless,":[133],"addresses":[136],"having":[140],"strong":[141],"while":[144],"able":[146],"minimize":[148],"computational":[149],"complexity.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}