{"id":"https://openalex.org/W3134522342","doi":"https://doi.org/10.1109/tii.2020.3030709","title":"Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method","display_name":"Predicting Grain Losses and Waste Rate Along the Entire Chain: A Multitask Multigated Recurrent Unit Autoencoder Based Method","publication_year":2020,"publication_date":"2020-10-13","ids":{"openalex":"https://openalex.org/W3134522342","doi":"https://doi.org/10.1109/tii.2020.3030709","mag":"3134522342"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2020.3030709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3030709","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","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/A5060815634","display_name":"Jie Cao","orcid":"https://orcid.org/0000-0002-9942-3243"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Cao","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070846571","display_name":"Youquan Wang","orcid":"https://orcid.org/0000-0003-4726-7493"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youquan Wang","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081879366","display_name":"Jing He","orcid":"https://orcid.org/0000-0001-6488-1052"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing He","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081342921","display_name":"Weichao Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weichao Liang","raw_affiliation_strings":["College of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004273646","display_name":"Haicheng Tao","orcid":"https://orcid.org/0000-0002-1286-2578"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haicheng Tao","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030239745","display_name":"Guixiang Zhu","orcid":"https://orcid.org/0000-0002-3773-4097"},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixiang Zhu","raw_affiliation_strings":["Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Provincial Key Laboratory of E-Business, College of Information Engineering, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5060815634"],"corresponding_institution_ids":["https://openalex.org/I137056471"],"apc_list":null,"apc_paid":null,"fwci":2.8669,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.90205259,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"17","issue":"6","first_page":"4390","last_page":"4400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12583","display_name":"Food Waste Reduction and Sustainability","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T12583","display_name":"Food Waste Reduction and Sustainability","score":0.9987999796867371,"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"}},{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9363999962806702,"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"}},{"id":"https://openalex.org/T12894","display_name":"Date Palm Research Studies","score":0.9129999876022339,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant 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/autoencoder","display_name":"Autoencoder","score":0.8635774254798889},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6856929659843445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6227858066558838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5577161312103271},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5490936040878296},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5182976126670837},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46983832120895386},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.45766618847846985},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.45525655150413513},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43407493829727173},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.41536378860473633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40414753556251526},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22377339005470276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16393226385116577},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16347593069076538}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8635774254798889},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6856929659843445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6227858066558838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5577161312103271},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5490936040878296},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5182976126670837},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46983832120895386},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.45766618847846985},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.45525655150413513},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43407493829727173},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41536378860473633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40414753556251526},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22377339005470276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16393226385116577},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16347593069076538},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2020.3030709","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.3030709","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","score":0.800000011920929,"display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G2672715682","display_name":null,"funder_award_id":"91646204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6241683048","display_name":null,"funder_award_id":"71701089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8751288866","display_name":null,"funder_award_id":"2013B01035","funder_id":"https://openalex.org/F4320323157","funder_display_name":"National Center for International Joint Research on E-Business Information Processing"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323157","display_name":"National Center for International Joint Research on E-Business Information Processing","ror":"https://ror.org/031y8am81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W794186774","https://openalex.org/W1969674352","https://openalex.org/W1985001246","https://openalex.org/W1987371344","https://openalex.org/W2037063633","https://openalex.org/W2072377819","https://openalex.org/W2095705004","https://openalex.org/W2112093930","https://openalex.org/W2133718480","https://openalex.org/W2150960678","https://openalex.org/W2168779324","https://openalex.org/W2305978392","https://openalex.org/W2378988337","https://openalex.org/W2502317260","https://openalex.org/W2527569769","https://openalex.org/W2564089970","https://openalex.org/W2577436999","https://openalex.org/W2615707337","https://openalex.org/W2739107216","https://openalex.org/W2742079690","https://openalex.org/W2750575765","https://openalex.org/W2770041785","https://openalex.org/W2805046880","https://openalex.org/W2894544906","https://openalex.org/W2897250686","https://openalex.org/W2899676218","https://openalex.org/W2912351665","https://openalex.org/W2934060014","https://openalex.org/W2947697862","https://openalex.org/W2951326654","https://openalex.org/W2953077209","https://openalex.org/W2964199361","https://openalex.org/W2965981069","https://openalex.org/W2971713317","https://openalex.org/W3038397330","https://openalex.org/W3123264727","https://openalex.org/W3123686254","https://openalex.org/W6674330103","https://openalex.org/W6684596528","https://openalex.org/W6727654133","https://openalex.org/W6742058293","https://openalex.org/W6788812593"],"related_works":["https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W2772780115","https://openalex.org/W4281924768","https://openalex.org/W1576462183","https://openalex.org/W3165463024","https://openalex.org/W4287178339","https://openalex.org/W2292254049","https://openalex.org/W2592385986","https://openalex.org/W2546942002"],"abstract_inverted_index":{"Predicting":[0],"grain":[1,13,29,68,116,163,173],"losses":[2],"and":[3,12,20,57,115,202],"waste":[4],"rate":[5],"(LWR)":[6],"is":[7,94],"critical":[8],"for":[9,53,86,112,150,166],"agricultural":[10],"planning":[11],"policy":[14],"development.":[15],"Capturing":[16],"the":[17,25,49,54,60,67,79,99,103,110,121,134,140,148,155,180],"stage":[18,80],"interaction":[19],"generating":[21],"robust":[22,50,87,135],"features":[23,81,101],"are":[24],"main":[26,144],"challenges":[27],"in":[28,82],"LWR":[30,117,141,174],"prediction.":[31,118],"In":[32],"this":[33],"article,":[34],"we":[35,71,108,138],"propose":[36],"MTGA,":[37],"a":[38,83],"Multitask":[39],"Gated":[40],"recurrent":[41],"unit":[42],"(GRU)":[43],"Autoencoder,":[44],"approach":[45,178],"to":[46,77,97,129,132,146,184],"1)":[47],"obtain":[48],"feature":[51,88],"representation":[52],"prediction":[55,142,151,175,187],"task":[56,124,128,145],"2)":[58],"explore":[59],"time-ordered":[61],"interactions":[62],"among":[63],"different":[64],"stages":[65],"of":[66,196],"chain.":[69],"Specifically,":[70],"design":[72],"multiple":[73],"GRU":[74,104],"encoder-decoder":[75,105],"pairs":[76],"co-reconstruct":[78],"common":[84],"space":[85],"learning.":[89],"Then,":[90],"an":[91,126],"attention":[92],"mechanism":[93],"proposed":[95],"better":[96],"fuse":[98],"reconstructed":[100,113,122],"from":[102,162],"pairs.":[106],"Furthermore,":[107],"utilize":[109],"multitask":[111],"loss":[114,123],"We":[119,153],"introduce":[120,139],"as":[125,143],"auxiliary":[127],"help":[130],"us":[131],"represent":[133],"features.":[136],"Besides,":[137],"learn":[147],"parameters":[149],"task.":[152],"collected":[154],"data":[156,161],"with":[157],"questionnaires,":[158],"interviews,":[159],"or":[160],"management":[164],"institutes":[165],"experiments.":[167],"The":[168],"evaluation":[169],"results":[170,182],"show":[171],"that":[172],"by":[176],"our":[177,190],"achieves":[179],"best":[181],"compared":[183],"several":[185],"state-of-the-art":[186],"models.":[188],"Moreover,":[189],"method":[191],"gains":[192],"overall":[193],"performance":[194],"decline":[195],"12.5-18.3%":[197],"on":[198],"mean":[199,204],"absolute":[200],"error":[201,206],"root":[203],"square":[205],"metrics.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
