{"id":"https://openalex.org/W4410636499","doi":"https://doi.org/10.1145/3701716.3719637","title":"A Simple Feature Extraction based Approach to Solving the Brick by Brick 2024 Challenge","display_name":"A Simple Feature Extraction based Approach to Solving the Brick by Brick 2024 Challenge","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410636499","doi":"https://doi.org/10.1145/3701716.3719637"},"language":"en","primary_location":{"id":"doi:10.1145/3701716.3719637","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3719637","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3719637","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3719637","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008477924","display_name":"Kaushik Gopalan","orcid":"https://orcid.org/0000-0002-7980-6183"},"institutions":[{"id":"https://openalex.org/I2802865875","display_name":"Flame University","ror":"https://ror.org/0252mqn49","country_code":"IN","type":"education","lineage":["https://openalex.org/I2802865875"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kaushik Gopalan","raw_affiliation_strings":["FLAME University, Pune, India"],"affiliations":[{"raw_affiliation_string":"FLAME University, Pune, India","institution_ids":["https://openalex.org/I2802865875"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5117649407","display_name":"Prithvi Dhyani","orcid":null},"institutions":[{"id":"https://openalex.org/I2802865875","display_name":"Flame University","ror":"https://ror.org/0252mqn49","country_code":"IN","type":"education","lineage":["https://openalex.org/I2802865875"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prithvi Dhyani","raw_affiliation_strings":["FLAME University, Pune, India"],"affiliations":[{"raw_affiliation_string":"FLAME University, Pune, India","institution_ids":["https://openalex.org/I2802865875"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099135151","display_name":"Arunima Srikant","orcid":null},"institutions":[{"id":"https://openalex.org/I2802865875","display_name":"Flame University","ror":"https://ror.org/0252mqn49","country_code":"IN","type":"education","lineage":["https://openalex.org/I2802865875"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arunima Srikant","raw_affiliation_strings":["FLAME University, Pune, India"],"affiliations":[{"raw_affiliation_string":"FLAME University, Pune, India","institution_ids":["https://openalex.org/I2802865875"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008477924"],"corresponding_institution_ids":["https://openalex.org/I2802865875"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17944077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3016","last_page":"3020"},"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":0.946399986743927,"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":0.946399986743927,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9398000240325928,"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/brick","display_name":"Brick","score":0.9374502897262573},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.7148158550262451},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5927605032920837},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5670351982116699},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5540699362754822},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47862735390663147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35176193714141846},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3236643671989441},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20718950033187866},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.11374753713607788},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.07600250840187073},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.061575859785079956}],"concepts":[{"id":"https://openalex.org/C154226666","wikidata":"https://www.wikidata.org/wiki/Q40089","display_name":"Brick","level":2,"score":0.9374502897262573},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.7148158550262451},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5927605032920837},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5670351982116699},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5540699362754822},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47862735390663147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35176193714141846},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3236643671989441},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20718950033187866},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.11374753713607788},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.07600250840187073},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.061575859785079956},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3701716.3719637","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3719637","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3719637","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3701716.3719637","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3719637","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3719637","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410636499.pdf","grobid_xml":"https://content.openalex.org/works/W4410636499.grobid-xml"},"referenced_works_count":4,"referenced_works":["https://openalex.org/W2295598076","https://openalex.org/W2912761558","https://openalex.org/W3014640470","https://openalex.org/W4376643669"],"related_works":["https://openalex.org/W2383709437","https://openalex.org/W2730245355","https://openalex.org/W1973155652","https://openalex.org/W2058338829","https://openalex.org/W4310583225","https://openalex.org/W4379529530","https://openalex.org/W2139638002","https://openalex.org/W2086150567","https://openalex.org/W2324843431","https://openalex.org/W2278985732"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,81,108],"machine-learning-based":[3],"approach":[4],"to":[5,37,53],"efficiently":[6],"classify":[7],"IoT":[8,30],"device":[9,105],"data":[10,42,51],"in":[11,22,32,40],"the":[12,115],"AIcrowd":[13],"|":[14],"Brick":[15,17],"by":[16],"2024":[18],"competition,":[19],"enabling":[20],"automation":[21],"smart":[23],"building":[24],"management.":[25],"The":[26],"increasing":[27],"prevalence":[28],"of":[29,112],"devices":[31],"modern":[33],"buildings":[34],"has":[35],"led":[36],"an":[38,54],"increase":[39],"time-series":[41,90],"from":[43],"diverse":[44],"sources.":[45],"Efficiently":[46],"classifying":[47],"and":[48,66,74],"organizing":[49],"this":[50],"according":[52],"ontology":[55],"is":[56,72],"crucial":[57],"for":[58,92,103],"applications":[59],"such":[60],"as":[61],"energy":[62],"optimization,":[63],"fault":[64],"detection,":[65],"predictive":[67],"maintenance.":[68],"However,":[69],"manual":[70],"classification":[71,94,102],"costly":[73],"time-consuming.":[75],"To":[76],"address":[77],"this,":[78],"we":[79],"propose":[80],"Quartile-Based":[82],"Shape":[83],"Segmentation":[84],"(QBaSS)":[85],"method,":[86],"which":[87],"extracts":[88],"lower-dimensional":[89],"representations":[91],"stratified":[93],"using":[95],"gradient":[96],"boosting.":[97],"Our":[98],"results":[99],"demonstrate":[100],"reliable":[101],"most":[104],"types,":[106],"achieving":[107],"Macro":[109],"F1":[110],"score":[111],"0.509":[113],"with":[114],"test":[116],"data.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
