{"id":"https://openalex.org/W1976897133","doi":"https://doi.org/10.1109/dbta.2010.5658959","title":"Comparison of Forecasting Methods for Aspect Ratio of Wood Tracheid","display_name":"Comparison of Forecasting Methods for Aspect Ratio of Wood Tracheid","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W1976897133","doi":"https://doi.org/10.1109/dbta.2010.5658959","mag":"1976897133"},"language":"en","primary_location":{"id":"doi:10.1109/dbta.2010.5658959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5658959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","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/A5111774926","display_name":"Guangsheng Chen","orcid":"https://orcid.org/0009-0009-0237-1765"},"institutions":[{"id":"https://openalex.org/I47689461","display_name":"Northeast Forestry University","ror":"https://ror.org/02yxnh564","country_code":"CN","type":"education","lineage":["https://openalex.org/I47689461"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guangsheng Chen","raw_affiliation_strings":["College of Material Science and Engineering, Northeast Forestry University, Harbin, P. R. China","Coll. of Mater. Sci. & Eng., Northeast Forestry Univ., Harbin, China"],"affiliations":[{"raw_affiliation_string":"College of Material Science and Engineering, Northeast Forestry University, Harbin, P. R. China","institution_ids":["https://openalex.org/I47689461"]},{"raw_affiliation_string":"Coll. of Mater. Sci. & Eng., Northeast Forestry Univ., Harbin, China","institution_ids":["https://openalex.org/I47689461"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100447683","display_name":"Ge Li","orcid":"https://orcid.org/0000-0002-6398-8293"},"institutions":[{"id":"https://openalex.org/I41208885","display_name":"Harbin University of Commerce","ror":"https://ror.org/03zsxkw25","country_code":"CN","type":"education","lineage":["https://openalex.org/I41208885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Ge","raw_affiliation_strings":["College of Computer and Information Engineering, Harbin University of Commerce, Harbin, P. R. China","College of Computer and Information Engineering, Harbin University of Commerce, Harbin, China#TAB#"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Harbin University of Commerce, Harbin, P. R. China","institution_ids":["https://openalex.org/I41208885"]},{"raw_affiliation_string":"College of Computer and Information Engineering, Harbin University of Commerce, Harbin, China#TAB#","institution_ids":["https://openalex.org/I41208885"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111774926"],"corresponding_institution_ids":["https://openalex.org/I47689461"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09658088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental 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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental 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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9765999913215637,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9684000015258789,"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/tracheid","display_name":"Tracheid","score":0.7966018319129944},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7122833728790283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5215082764625549},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.4644968509674072},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4479333162307739},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36127057671546936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.278018593788147},{"id":"https://openalex.org/keywords/botany","display_name":"Botany","score":0.07753807306289673}],"concepts":[{"id":"https://openalex.org/C162838533","wikidata":"https://www.wikidata.org/wiki/Q1425870","display_name":"Tracheid","level":3,"score":0.7966018319129944},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7122833728790283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5215082764625549},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.4644968509674072},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4479333162307739},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36127057671546936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.278018593788147},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.07753807306289673},{"id":"https://openalex.org/C49799701","wikidata":"https://www.wikidata.org/wiki/Q122811","display_name":"Xylem","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dbta.2010.5658959","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dbta.2010.5658959","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 2nd International Workshop on Database Technology and Applications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6000000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2058203253","https://openalex.org/W2063883439"],"related_works":["https://openalex.org/W2164631837","https://openalex.org/W2059404900","https://openalex.org/W2414823229","https://openalex.org/W1217608377","https://openalex.org/W107389214","https://openalex.org/W4324027008","https://openalex.org/W2919130498","https://openalex.org/W1964369967","https://openalex.org/W1997542829","https://openalex.org/W2084732496"],"abstract_inverted_index":{"With":[0],"the":[1,9,79,100,109,112],"decrease":[2],"of":[3,22,33,38,43,52,71,81],"nature":[4],"forest":[5],"in":[6],"all":[7],"over":[8],"world,":[10],"plantation":[11,34],"and":[12,35,55,86,89,95,115],"improving":[13],"wood":[14,23,39,53,58,72],"utilization":[15,37],"becomes":[16],"important.":[17],"The":[18,41,69],"study":[19],"on":[20],"forecast":[21,50],"properties":[24,54,73],"can":[25],"provide":[26],"a":[27,49],"scientific":[28],"basis":[29],"for":[30],"intensive":[31],"farming":[32],"targeted":[36],"resource.":[40],"purpose":[42],"this":[44],"paper":[45],"is":[46],"to":[47,56],"establish":[48],"model":[51,75,102],"evaluate":[57],"qualities":[59],"comprehensively.":[60],"Tracheid":[61],"aspect":[62],"ratio":[63],"was":[64,76,108],"selected":[65],"as":[66],"analytical":[67],"data.":[68],"feasibility":[70],"forecasting":[74,91,101],"established":[77,103],"by":[78,104],"methods":[80],"linear":[82],"regression,":[83],"time":[84],"series,":[85],"neural":[87,105],"network":[88,106],"its":[90],"precision":[92],"were":[93],"compared":[94],"proof-tested.":[96],"Results":[97],"indicated":[98],"that":[99],"method":[107],"best,":[110],"with":[111],"smallest":[113],"error":[114],"best":[116],"precision.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
