{"id":"https://openalex.org/W4403475609","doi":"https://doi.org/10.32604/cmc.2024.052138","title":"MCBAN: A Small Object Detection Multi-Convolutional Block Attention Network","display_name":"MCBAN: A Small Object Detection Multi-Convolutional Block Attention Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403475609","doi":"https://doi.org/10.32604/cmc.2024.052138"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2024.052138","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2024.052138","pdf_url":"https://cdn.techscience.press/files/cmc/2024/TSP_CMC-81-2/TSP_CMC_52138/TSP_CMC_52138.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://cdn.techscience.press/files/cmc/2024/TSP_CMC-81-2/TSP_CMC_52138/TSP_CMC_52138.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5043950232","display_name":"Hina Bhanbhro","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hina Bhanbhro","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089982674","display_name":"Yew Kwang Hooi","orcid":"https://orcid.org/0000-0003-4569-0482"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yew Kwang Hooi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102572470","display_name":"Mohammad Nordin Bin Zakaria","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammad Nordin Bin Zakaria","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061056286","display_name":"Worapan Kusakunniran","orcid":"https://orcid.org/0000-0002-2896-611X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Worapan Kusakunniran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5043877128","display_name":"Zaira Hassan Amur","orcid":"https://orcid.org/0000-0001-9153-5059"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zaira Hassan Amur","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043950232"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2682,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.81619138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"81","issue":"2","first_page":"2243","last_page":"2259"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9623000025749207,"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"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9623000025749207,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9032999873161316,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6980951428413391},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6652117967605591},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.46941953897476196},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41493844985961914},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40516579151153564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3472095727920532},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3283916711807251},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09653708338737488}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6980951428413391},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6652117967605591},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.46941953897476196},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41493844985961914},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40516579151153564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3472095727920532},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3283916711807251},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09653708338737488},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2024.052138","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2024.052138","pdf_url":"https://cdn.techscience.press/files/cmc/2024/TSP_CMC-81-2/TSP_CMC_52138/TSP_CMC_52138.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2024.052138","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2024.052138","pdf_url":"https://cdn.techscience.press/files/cmc/2024/TSP_CMC-81-2/TSP_CMC_52138/TSP_CMC_52138.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials & Continua","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323380","display_name":"Universiti Teknologi Petronas","ror":"https://ror.org/048g2sh07"},{"id":"https://openalex.org/F4320329394","display_name":"Yayasan UTP","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4403475609.pdf"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2031489346","https://openalex.org/W2109255472","https://openalex.org/W2904734972","https://openalex.org/W3004910693","https://openalex.org/W3088694126","https://openalex.org/W3119502086","https://openalex.org/W4205580335","https://openalex.org/W4307705289","https://openalex.org/W4385420473","https://openalex.org/W4388450957","https://openalex.org/W4400111306","https://openalex.org/W6628973269","https://openalex.org/W6631782140","https://openalex.org/W6735463952","https://openalex.org/W6742348326","https://openalex.org/W6743731764","https://openalex.org/W6753412334","https://openalex.org/W6768952390","https://openalex.org/W6770600958","https://openalex.org/W6775560624","https://openalex.org/W6779040860","https://openalex.org/W6804839202","https://openalex.org/W6841009473","https://openalex.org/W6848988713","https://openalex.org/W6849417494","https://openalex.org/W6855666810","https://openalex.org/W6869476134"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W4399188509","https://openalex.org/W2318112981","https://openalex.org/W4210874298"],"abstract_inverted_index":{"Object":[0],"detection":[1,13],"has":[2],"made":[3],"a":[4,20,30],"significant":[5],"leap":[6],"forward":[7],"in":[8],"recent":[9],"years.":[10],"However,":[11],"the":[12,44],"of":[14],"small":[15,32],"objects":[16],"continues":[17],"to":[18],"be":[19],"great":[21],"difficulty":[22],"for":[23],"various":[24],"reasons,":[25],"such":[26],"as":[27],"they":[28,35],"have":[29],"very":[31],"size":[33],"and":[34,41],"are":[36],"susceptibl...":[37],"|":[38],"Find,":[39],"read":[40],"cite":[42],"all":[43],"research":[45],"you":[46],"need":[47],"on":[48],"Tech":[49],"Science":[50],"Press":[51]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}