{"id":"https://openalex.org/W4402474980","doi":"https://doi.org/10.1109/ccece59415.2024.10667305","title":"Hemp Waste Classification Using Convolutional Neural Networks","display_name":"Hemp Waste Classification Using Convolutional Neural Networks","publication_year":2024,"publication_date":"2024-08-06","ids":{"openalex":"https://openalex.org/W4402474980","doi":"https://doi.org/10.1109/ccece59415.2024.10667305"},"language":"en","primary_location":{"id":"doi:10.1109/ccece59415.2024.10667305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece59415.2024.10667305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","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/A5102062531","display_name":"Ahmed B. Mahmood","orcid":null},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ahmed B. Mahmood","raw_affiliation_strings":["University of Guelph,School of Engineering,Guelph"],"affiliations":[{"raw_affiliation_string":"University of Guelph,School of Engineering,Guelph","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024234879","display_name":"John Runciman","orcid":null},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"John Runciman","raw_affiliation_strings":["University of Guelph,School of Engineering,Guelph"],"affiliations":[{"raw_affiliation_string":"University of Guelph,School of Engineering,Guelph","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084226967","display_name":"Mahmood Badr","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mahmood Badr","raw_affiliation_strings":["University of British Columbia,Department of Computer Science,Kelowna"],"affiliations":[{"raw_affiliation_string":"University of British Columbia,Department of Computer Science,Kelowna","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107157399","display_name":"Yasser Al-Badrawi","orcid":null},"institutions":[{"id":"https://openalex.org/I79817857","display_name":"University of Guelph","ror":"https://ror.org/01r7awg59","country_code":"CA","type":"education","lineage":["https://openalex.org/I79817857"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yasser Al-Badrawi","raw_affiliation_strings":["University of Guelph,School of Engineering,Guelph"],"affiliations":[{"raw_affiliation_string":"University of Guelph,School of Engineering,Guelph","institution_ids":["https://openalex.org/I79817857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110104019","display_name":"D. Hudson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Darryl Hudson","raw_affiliation_strings":["GoodCap Pharmaceuticals Inc.,GoodCap Pharmaceuticals,Raymond"],"affiliations":[{"raw_affiliation_string":"GoodCap Pharmaceuticals Inc.,GoodCap Pharmaceuticals,Raymond","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102062531"],"corresponding_institution_ids":["https://openalex.org/I79817857"],"apc_list":null,"apc_paid":null,"fwci":0.2973,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5995542,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"871","last_page":"875"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11108","display_name":"Municipal Solid Waste Management","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11108","display_name":"Municipal Solid Waste Management","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12920","display_name":"Healthcare and Environmental Waste Management","score":0.948199987411499,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12583","display_name":"Food Waste Reduction and Sustainability","score":0.946399986743927,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8110271692276001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6279066205024719},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5217869281768799},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41928452253341675}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8110271692276001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6279066205024719},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5217869281768799},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41928452253341675}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccece59415.2024.10667305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccece59415.2024.10667305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2966032177","https://openalex.org/W3157605985","https://openalex.org/W3217623263","https://openalex.org/W4205397448","https://openalex.org/W4210884831","https://openalex.org/W4211256381","https://openalex.org/W4220721522","https://openalex.org/W4221022089","https://openalex.org/W4291700635","https://openalex.org/W4292323586","https://openalex.org/W4308090795","https://openalex.org/W4364375330","https://openalex.org/W4377289559","https://openalex.org/W4380362781"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4293226380","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Canada\u2019s":[0],"cannabis":[1],"industry":[2],"generates":[3],"a":[4,20,54,59,86,194],"large":[5],"amount":[6],"of":[7,22,34,62,114,139,144,161],"organic":[8],"waste.":[9],"This":[10],"waste":[11,116,141],"material":[12,56],"has":[13,28],"the":[14,32,46,112,119,145,162,187],"potential":[15],"to":[16,74,90,110,155],"be":[17,191],"reutilized":[18],"for":[19,136],"variety":[21],"purposes,":[23],"creating":[24],"economic":[25,83],"value.":[26],"It":[27],"several":[29],"uses":[30],"in":[31,97],"fields":[33],"construction,":[35],"healthcare,":[36],"food":[37],"and":[38,42,45,65,82,123,131,150],"energy":[39,76],"production,":[40],"textile":[41],"paper":[43],"manufacturing,":[44],"automobile":[47],"industry.":[48],"Grown":[49],"year":[50],"round,":[51],"hemp":[52,92,115,140],"is":[53,68,93,108],"plant":[55],"that":[57,186],"yields":[58],"great":[60],"number":[61],"seeds,":[63],"fibers,":[64],"medicines.":[66],"Hemp":[67],"divided":[69],"into":[70,193],"many":[71],"groups":[72],"according":[73],"its":[75],"content,":[77],"nutritional":[78],"value,":[79],"physical":[80],"characteristics,":[81],"benefits.":[84],"Making":[85],"machine":[87,172],"learning":[88,173],"model":[89,107,163],"classify":[91],"therefore":[94],"quite":[95],"helpful":[96],"differentiating":[98],"between":[99],"them.":[100],"A":[101],"convolutional":[102],"neural":[103],"networks":[104],"(CNN)":[105],"based":[106],"introduced":[109],"perform":[111],"classification":[113],"by":[117],"considering":[118],"morphological":[120],"features":[121],"(color":[122],"texture).":[124],"Using":[125],"an":[126],"industrial":[127],"camera,":[128],"three":[129],"hundred":[130],"twenty-two":[132],"photos":[133],"were":[134,153],"gathered":[135],"different":[137],"types":[138],"as":[142,168,170],"part":[143],"data":[146,151],"collecting":[147],"process.":[148],"Cross-validation":[149],"augmentation":[152],"utilized":[154],"enhance":[156],"this":[157],"dataset.":[158],"The":[159,176,184],"performance":[160],"was":[164,181],"assessed":[165],"using":[166],"accuracy":[167,179],"well":[169],"additional":[171],"testing":[174,178],"parameters.":[175],"model's":[177],"score":[180],"approximately":[182],"96%.":[183],"fact":[185],"proposed":[188],"approach":[189],"can":[190],"turned":[192],"smartphone":[195],"app":[196],"makes":[197],"it":[198],"appear":[199],"highly":[200],"promising.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
