{"id":"https://openalex.org/W3012240971","doi":"https://doi.org/10.1145/3377049.3377131","title":"Application of Neuro-GA Hybrids in Sensor Optimization for Structural Health Monitoring","display_name":"Application of Neuro-GA Hybrids in Sensor Optimization for Structural Health Monitoring","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W3012240971","doi":"https://doi.org/10.1145/3377049.3377131","mag":"3012240971"},"language":"en","primary_location":{"id":"doi:10.1145/3377049.3377131","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","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/A5047296498","display_name":"Munni Rani Banik","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Munni Rani Banik","raw_affiliation_strings":["Young Engineers, Chattogram, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Young Engineers, Chattogram, Bangladesh","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008293391","display_name":"Tonmoy Das","orcid":"https://orcid.org/0000-0001-7347-1573"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tonmoy Das","raw_affiliation_strings":["Young Engineers, Chattogram, Bangladesh"],"affiliations":[{"raw_affiliation_string":"Young Engineers, Chattogram, Bangladesh","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047296498"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5694,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64066921,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10205","display_name":"Advanced Fiber Optic Sensors","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7306267023086548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.707184910774231},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6839146614074707},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.678709089756012},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.6423516273498535},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.49621516466140747},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46925708651542664},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4691039025783539},{"id":"https://openalex.org/keywords/structural-health-monitoring","display_name":"Structural health monitoring","score":0.43694064021110535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3887929916381836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3614569902420044},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16913175582885742},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10142937302589417}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7306267023086548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.707184910774231},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6839146614074707},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.678709089756012},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.6423516273498535},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.49621516466140747},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46925708651542664},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4691039025783539},{"id":"https://openalex.org/C2776247918","wikidata":"https://www.wikidata.org/wiki/Q1423713","display_name":"Structural health monitoring","level":2,"score":0.43694064021110535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3887929916381836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3614569902420044},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16913175582885742},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10142937302589417},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3377049.3377131","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3377049.3377131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Computing Advancements","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1525659763","https://openalex.org/W2028070629","https://openalex.org/W2054934530","https://openalex.org/W2062919847","https://openalex.org/W2067878879","https://openalex.org/W2078341916","https://openalex.org/W2589343700","https://openalex.org/W2838195478","https://openalex.org/W2883108246","https://openalex.org/W2914196784","https://openalex.org/W2914690021","https://openalex.org/W2978497387","https://openalex.org/W3010981201"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W4386041242","https://openalex.org/W2010811249"],"abstract_inverted_index":{"This":[0],"paper":[1,116],"presents":[2],"an":[3,10,118],"application":[4],"of":[5,67,75,96,104,126,140,174],"Neuro-GA":[6],"methodology":[7],"to":[8,34,51,78,89,111,120,156,168],"tailor":[9],"Optimal":[11],"Sensor":[12],"Placement":[13],"(OSP)":[14],"strategy":[15],"for":[16,31],"effective":[17,36],"Structural":[18],"Health":[19],"Monitoring.":[20],"In":[21],"recent":[22],"years,":[23],"OSP":[24,56],"has":[25],"become":[26],"a":[27,72,79,177],"prominent":[28],"research":[29],"topic":[30],"its":[32],"capability":[33],"ensure":[35],"experimental":[37],"design":[38],"with":[39,123,148,159,193],"minimal":[40],"resources.":[41],"Literature":[42],"suggests":[43],"that":[44,185],"Genetic":[45],"Algorithms":[46],"(GAs)":[47],"have":[48],"the":[49,94,102,105,136,141,164,170],"potential":[50],"give":[52],"promising":[53],"results":[54,63],"in":[55,59,71,85,138,176],"problem.":[57],"However,":[58],"some":[60,124],"cases,":[61],"these":[62,91,113],"can":[64],"be":[65],"consequences":[66],"repeated":[68],"computational":[69,182],"effort":[70],"large":[73],"number":[74,171],"generations":[76],"leading":[77],"slower":[80],"convergence.":[81,195],"Generally,":[82],"various":[83],"operators":[84,98],"GAs":[86],"were":[87,154,166],"used":[88,155],"overcome":[90],"situations.":[92],"But,":[93],"performance":[95],"those":[97],"largely":[99],"depends":[100],"on":[101],"quality":[103],"randomly":[106],"generated":[107],"population":[108],"sets.":[109],"Thus,":[110],"solve":[112],"problems,":[114],"this":[115],"illustrates":[117],"approach":[119],"improve":[121],"GA":[122,137,160],"populations":[125],"better":[127,194],"fitness":[128],"through":[129],"Artificial":[130],"Neural":[131],"Network":[132],"(ANN)":[133],"and":[134,161,172],"guide":[135],"search":[139],"global":[142],"optimum.":[143],"Two":[144],"back-propagation":[145],"neural":[146],"networks":[147],"two":[149],"fast":[150],"converging":[151],"training":[152],"algorithms":[153,188],"individually":[157],"combine":[158],"later,":[162],"both":[163],"hybrids":[165],"applied":[167],"determine":[169],"location":[173],"sensors":[175],"benchmark":[178],"bridge":[179],"structure.":[180],"The":[181],"result":[183],"demonstrated":[184],"proposed":[186],"hybrid":[187],"could":[189],"sufficiently":[190],"detect":[191],"locations":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
