{"id":"https://openalex.org/W2786309582","doi":"https://doi.org/10.1109/icm.2017.8268815","title":"Defect detection on IC wafers based on neural network","display_name":"Defect detection on IC wafers based on neural network","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2786309582","doi":"https://doi.org/10.1109/icm.2017.8268815","mag":"2786309582"},"language":"en","primary_location":{"id":"doi:10.1109/icm.2017.8268815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm.2017.8268815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 29th International Conference on Microelectronics (ICM)","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/A5112271812","display_name":"Arsham Abedini","orcid":null},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Arsham Abedini","raw_affiliation_strings":["K. N. Toosi University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113127134","display_name":"Mahdi Ehsanian","orcid":null},"institutions":[{"id":"https://openalex.org/I80543232","display_name":"K.N.Toosi University of Technology","ror":"https://ror.org/0433abe34","country_code":"IR","type":"education","lineage":["https://openalex.org/I80543232"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahdi Ehsanian","raw_affiliation_strings":["K. N. Toosi University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"K. N. Toosi University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I80543232"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112271812"],"corresponding_institution_ids":["https://openalex.org/I80543232"],"apc_list":null,"apc_paid":null,"fwci":1.5341,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.86273748,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12549","display_name":"Image and Object Detection Techniques","score":0.9998999834060669,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wafer","display_name":"Wafer","score":0.6684868335723877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6503768563270569},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6497201323509216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6328504681587219},{"id":"https://openalex.org/keywords/hough-transform","display_name":"Hough transform","score":0.6281688213348389},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5150665640830994},{"id":"https://openalex.org/keywords/visual-inspection","display_name":"Visual inspection","score":0.4916141629219055},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41567856073379517},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.379192054271698},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17744308710098267},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07474413514137268}],"concepts":[{"id":"https://openalex.org/C160671074","wikidata":"https://www.wikidata.org/wiki/Q267131","display_name":"Wafer","level":2,"score":0.6684868335723877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6503768563270569},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6497201323509216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6328504681587219},{"id":"https://openalex.org/C200518788","wikidata":"https://www.wikidata.org/wiki/Q195076","display_name":"Hough transform","level":3,"score":0.6281688213348389},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5150665640830994},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.4916141629219055},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41567856073379517},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.379192054271698},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17744308710098267},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07474413514137268}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icm.2017.8268815","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icm.2017.8268815","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 29th International Conference on Microelectronics (ICM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1984382409","https://openalex.org/W1995194116","https://openalex.org/W1995376165","https://openalex.org/W2003907383","https://openalex.org/W2057727798","https://openalex.org/W2096888852","https://openalex.org/W2317046253","https://openalex.org/W2607161934","https://openalex.org/W6646485397"],"related_works":["https://openalex.org/W2030098947","https://openalex.org/W1974777989","https://openalex.org/W2363834444","https://openalex.org/W2003466055","https://openalex.org/W2070077862","https://openalex.org/W2765199790","https://openalex.org/W2164944168","https://openalex.org/W2326760703","https://openalex.org/W262984167","https://openalex.org/W2150548021"],"abstract_inverted_index":{"In":[0,59],"many":[1],"researches,":[2],"defects":[3,14,51,64,69],"are":[4,25],"detected":[5],"with":[6,65],"using":[7],"reference":[8,16],"image.":[9],"But":[10],"recently,":[11],"detection":[12],"of":[13,36,68],"without":[15],"image":[17],"is":[18,38],"considered.":[19],"Because":[20],"Automated":[21],"visual":[22],"examination":[23],"systems":[24],"necessary":[26],"for":[27,49],"developing":[28],"in":[29,40],"the":[30,34],"industry,":[31],"specifically":[32],"when":[33],"quality":[35],"products":[37],"considered":[39],"industry":[41],"[1].":[42],"Therefore,":[43],"we":[44,62],"present":[45],"a":[46],"novel":[47],"method":[48],"detecting":[50],"on":[52,56,71],"integrated":[53],"circuit":[54],"based":[55,70],"defect":[57],"features.":[58],"this":[60],"paper,":[61],"classify":[63],"evaluating":[66],"dispersion":[67],"Hough":[72],"Transform.":[73]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}
