{"id":"https://openalex.org/W1967267919","doi":"https://doi.org/10.4018/ijsda.2013040105","title":"A Probabilistic Neural Network-Based Module for Recognition of Objects from their 3-D Images","display_name":"A Probabilistic Neural Network-Based Module for Recognition of Objects from their 3-D Images","publication_year":2013,"publication_date":"2013-04-01","ids":{"openalex":"https://openalex.org/W1967267919","doi":"https://doi.org/10.4018/ijsda.2013040105","mag":"1967267919"},"language":"en","primary_location":{"id":"doi:10.4018/ijsda.2013040105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsda.2013040105","pdf_url":null,"source":{"id":"https://openalex.org/S4210210041","display_name":"International Journal of System Dynamics Applications","issn_l":"2160-9772","issn":["2160-9772","2160-9799"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of System Dynamics Applications","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/A5109065945","display_name":"Onsy Abdel Alim","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Onsy A. Abdel Alim","raw_affiliation_strings":["Department of Electrical Engineering, Beirut University, Beirut, Lebanon"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Beirut University, Beirut, Lebanon","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048030732","display_name":"Amin Shoukry","orcid":"https://orcid.org/0000-0002-8024-3795"},"institutions":[{"id":"https://openalex.org/I32619867","display_name":"Egypt-Japan University of Science and Technology","ror":"https://ror.org/02x66tk73","country_code":"EG","type":"education","lineage":["https://openalex.org/I32619867"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Amin Shoukry","raw_affiliation_strings":["Computer Department, Egyptian Japanese University of Science and Technology (EJUST), Alexandria, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Department, Egyptian Japanese University of Science and Technology (EJUST), Alexandria, Egypt","institution_ids":["https://openalex.org/I32619867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032804989","display_name":"Neamat A. Elboughdadly","orcid":null},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Neamat A. Elboughdadly","raw_affiliation_strings":["Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Faculty of Engineering, Alexandria University, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070915895","display_name":"Gehan Abouelseoud","orcid":"https://orcid.org/0000-0003-3195-693X"},"institutions":[{"id":"https://openalex.org/I84524832","display_name":"Alexandria University","ror":"https://ror.org/00mzz1w90","country_code":"EG","type":"education","lineage":["https://openalex.org/I84524832"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Gehan Abouelseoud","raw_affiliation_strings":["Department of Engineering, Alexandria University, Alexandria, Egypt"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, Alexandria University, Alexandria, Egypt","institution_ids":["https://openalex.org/I84524832"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109065945"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4941,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74977971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"2","first_page":"66","last_page":"79"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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/T10320","display_name":"Neural Networks and Applications","score":0.9988999962806702,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9839000105857849,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7468633651733398},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.7154218554496765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6971538066864014},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6726729869842529},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6116955280303955},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5469546318054199},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5429614782333374},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.5090241432189941},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4422782063484192},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4362214207649231},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3815440237522125},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0990276038646698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7468633651733398},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.7154218554496765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6971538066864014},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6726729869842529},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6116955280303955},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5469546318054199},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5429614782333374},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.5090241432189941},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4422782063484192},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4362214207649231},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3815440237522125},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0990276038646698},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijsda.2013040105","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsda.2013040105","pdf_url":null,"source":{"id":"https://openalex.org/S4210210041","display_name":"International Journal of System Dynamics Applications","issn_l":"2160-9772","issn":["2160-9772","2160-9799"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of System Dynamics Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jsda00:v:2:y:2013:i:2:p:66-79","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2013040105","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1554663460","https://openalex.org/W1567923870","https://openalex.org/W1569512666","https://openalex.org/W2018839720","https://openalex.org/W2019207321","https://openalex.org/W2060895888","https://openalex.org/W2086479969","https://openalex.org/W2104416011","https://openalex.org/W2134644792","https://openalex.org/W2144212877","https://openalex.org/W2168063559","https://openalex.org/W2482810054","https://openalex.org/W2977305403","https://openalex.org/W3146863510","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W2114275278","https://openalex.org/W2769899322","https://openalex.org/W1489511283","https://openalex.org/W2026565050","https://openalex.org/W2974914859","https://openalex.org/W2110244802","https://openalex.org/W949345935"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,56],"pattern":[4],"recognition":[5,60],"module":[6,19,61,97],"that":[7,46,62],"makes":[8],"use":[9,65],"of":[10,13,22,27,33,43,55,94,101,112,115],"3-D":[11,35,58,99],"images":[12,36,100],"objects":[14,103],"is":[15,47],"presented.":[16],"The":[17,76],"proposed":[18],"takes":[20],"advantage":[21],"both":[23],"the":[24,31,44,53,88,96,113,116],"generalization":[25],"capability":[26],"neural":[28,90],"networks":[29],"and":[30,72,83],"possibility":[32],"manipulating":[34],"to":[37,48],"generate":[38],"views":[39],"at":[40],"different":[41],"poses":[42],"object":[45,59],"be":[49],"recognized.":[50],"This":[51],"allows":[52],"construction":[54],"robust":[57],"can":[63],"find":[64],"in":[66],"various":[67],"applications":[68],"including":[69],"military,":[70],"biomedical":[71],"mine":[73],"detection":[74],"applications.":[75],"paper":[77],"proposes":[78],"an":[79,109],"efficient":[80],"training":[81],"procedure":[82],"decision":[84],"making":[85],"strategy":[86],"for":[87],"suggested":[89],"network.":[91],"Sample":[92],"results":[93],"testing":[95],"on":[98],"several":[102],"are":[104],"also":[105],"included":[106],"along":[107],"with":[108],"insightful":[110],"discussion":[111],"implications":[114],"results.":[117]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}