{"id":"https://openalex.org/W4412977597","doi":"https://doi.org/10.1007/s44163-025-00407-5","title":"Smart village construction and college students\u2019 skills entrepreneurship path based on LSTM and simulated annealing algorithm","display_name":"Smart village construction and college students\u2019 skills entrepreneurship path based on LSTM and simulated annealing algorithm","publication_year":2025,"publication_date":"2025-07-18","ids":{"openalex":"https://openalex.org/W4412977597","doi":"https://doi.org/10.1007/s44163-025-00407-5"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00407-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00407-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00407-5.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00407-5.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038700738","display_name":"Xueli Dong","orcid":null},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueli Dong","raw_affiliation_strings":["School of Management, Zhengzhou College of Finance and Economics, Zhengzhou, 450000, China"],"affiliations":[{"raw_affiliation_string":"School of Management, Zhengzhou College of Finance and Economics, Zhengzhou, 450000, China","institution_ids":["https://openalex.org/I7726996"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5038700738"],"corresponding_institution_ids":["https://openalex.org/I7726996"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1029077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14139","display_name":"E-commerce and Technology Innovations","score":0.9466999769210815,"subfield":{"id":"https://openalex.org/subfields/1403","display_name":"Business and International Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11711","display_name":"COVID-19 Pandemic Impacts","score":0.9045000076293945,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/entrepreneurship","display_name":"Entrepreneurship","score":0.5911957621574402},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.5731460452079773},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5556440949440002},{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.5381221771240234},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.49819111824035645},{"id":"https://openalex.org/keywords/rural-area","display_name":"Rural area","score":0.4675271511077881},{"id":"https://openalex.org/keywords/informatization","display_name":"Informatization","score":0.4248805642127991},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41920509934425354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37486356496810913},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.34835630655288696},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32672232389450073},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.3225599527359009},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3218024969100952},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.28050434589385986},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24358201026916504},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15515196323394775}],"concepts":[{"id":"https://openalex.org/C84309077","wikidata":"https://www.wikidata.org/wiki/Q3908516","display_name":"Entrepreneurship","level":2,"score":0.5911957621574402},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.5731460452079773},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5556440949440002},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.5381221771240234},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.49819111824035645},{"id":"https://openalex.org/C129047720","wikidata":"https://www.wikidata.org/wiki/Q175185","display_name":"Rural area","level":2,"score":0.4675271511077881},{"id":"https://openalex.org/C2776352007","wikidata":"https://www.wikidata.org/wiki/Q181588","display_name":"Informatization","level":2,"score":0.4248805642127991},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41920509934425354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37486356496810913},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.34835630655288696},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32672232389450073},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.3225599527359009},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3218024969100952},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.28050434589385986},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24358201026916504},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15515196323394775},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00407-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00407-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00407-5.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9281a33a8ba84f47a74b49982c31e481","is_oa":true,"landing_page_url":"https://doaj.org/article/9281a33a8ba84f47a74b49982c31e481","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-22 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00407-5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00407-5","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00407-5.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412977597.pdf","grobid_xml":"https://content.openalex.org/works/W4412977597.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W2042641390","https://openalex.org/W3021048621","https://openalex.org/W3195777723","https://openalex.org/W4205740052","https://openalex.org/W4206796315","https://openalex.org/W4281738330","https://openalex.org/W4295788744","https://openalex.org/W4313555257","https://openalex.org/W4315498265","https://openalex.org/W4316038362","https://openalex.org/W4321611114","https://openalex.org/W4328111765","https://openalex.org/W4378980613","https://openalex.org/W4382933537","https://openalex.org/W4385226489","https://openalex.org/W4386282558","https://openalex.org/W4386289461","https://openalex.org/W4387076990","https://openalex.org/W4387894475","https://openalex.org/W4391222170","https://openalex.org/W4391451408","https://openalex.org/W4393271869","https://openalex.org/W4394013706","https://openalex.org/W4396237840","https://openalex.org/W4399259116","https://openalex.org/W4401014762","https://openalex.org/W4401895225","https://openalex.org/W4402468766","https://openalex.org/W4407459856","https://openalex.org/W6857668005"],"related_works":["https://openalex.org/W2366834094","https://openalex.org/W2384289521","https://openalex.org/W2978225435","https://openalex.org/W2589605869","https://openalex.org/W2392708612","https://openalex.org/W2377620891","https://openalex.org/W2009722433","https://openalex.org/W2372357978","https://openalex.org/W2365642005","https://openalex.org/W2094367329"],"abstract_inverted_index":{"Abstract":[0],"At":[1,199],"a":[2,189,218,313],"time":[3,290],"when":[4],"the":[5,25,31,44,56,76,90,96,106,114,142,149,152,165,200,207,227,246,257,273,284,297,306,318,329,332,349,358],"global":[6],"wave":[7],"of":[8,33,50,79,92,98,109,129,131,138,151,168,212,220,229,250,262,301,334,345,353,362],"informatization":[9],"and":[10,21,35,47,61,85,95,133,135,164,180,197,210,233,241,248,293,299,338,343,351,357,360],"rural":[11,17,36,52,65,111,303],"revitalization":[12],"strategies":[13],"are":[14,40],"intertwined,":[15],"smart":[16,51,93,110,302,335,354],"construction,":[18,53,304],"youth":[19],"innovation":[20],"entrepreneurship":[22,102,216],"have":[23],"become":[24],"core":[26],"driving":[27],"forces":[28],"to":[29,58,105,119,192,205,316],"promote":[30],"modernization":[32],"agriculture":[34],"areas.":[37],"However,":[38],"there":[39],"obvious":[41],"shortcomings":[42],"in":[43,55,89,141,155,188,203,331,348],"data":[45,292],"prediction":[46,158,170],"decision":[48],"support":[49],"especially":[54],"ability":[57],"accurately":[59],"model":[60,154],"efficiently":[62,311],"process":[63],"complex":[64],"environmental":[66],"data.":[67],"Based":[68,321],"on":[69,260,322],"this":[70,72,255,326],"background,":[71],"study":[73,327],"actively":[74],"explores":[75],"application":[77],"potential":[78],"Long":[80],"short-term":[81],"memory":[82],"network":[83],"(LSTM)":[84],"simulated":[86,230,307],"annealing":[87,231,308],"algorithm":[88,116,309],"construction":[91,337,356],"villages":[94],"optimization":[97],"college":[99,213,339,363],"students\u2019":[100,214,340,364],"skill":[101,215,341],"paths.":[103],"According":[104],"actual":[107],"needs":[108],"precision":[112],"agriculture,":[113],"LSTM":[115,153,285],"is":[117,159,171,174,269,286,344],"used":[118],"predict":[120],"key":[121],"indicators":[122],"such":[123],"as":[124,160,162],"crop":[125,156],"growth":[126],"cycle,":[127],"probability":[128],"occurrence":[130],"pests":[132],"diseases,":[134],"price":[136,169],"fluctuations":[137],"agricultural":[139],"products":[140],"market.":[143],"The":[144],"experimental":[145],"results":[146],"show":[147],"that":[148],"accuracy":[150,166],"yield":[157],"high":[161],"92%,":[163],"rate":[167,209],"95%,":[172],"which":[173,268],"far":[175],"beyond":[176],"traditional":[177],"statistical":[178],"methods,":[179],"can":[181,265,294,310],"provide":[182],"farmers":[183,194],"with":[184,226],"effective":[185],"market":[186],"intelligence":[187],"timely":[190],"manner":[191],"help":[193,228],"increase":[195],"production":[196],"income.":[198],"same":[201],"time,":[202],"order":[204],"improve":[206],"success":[208],"profitability":[211],"projects,":[217],"series":[219,291],"simulation":[221,247],"experiments":[222],"were":[223],"carried":[224],"out":[225],"algorithm,":[232],"an":[234],"optimal":[235],"path":[236],"taking":[237],"into":[238],"account":[239],"costs":[240],"benefits":[242],"was":[243],"determined":[244],"through":[245],"comparison":[249],"different":[251],"entrepreneurial":[252,263,319],"models.":[253],"Under":[254],"path,":[256],"initial":[258],"return":[259],"investment":[261],"projects":[264],"reach":[266],"35%,":[267],"significantly":[270],"higher":[271],"than":[272],"industry":[274],"average,":[275],"providing":[276],"clear":[277],"guidance":[278],"for":[279,288],"young":[280],"entrepreneurs.":[281],"In":[282],"addition,":[283],"suitable":[287],"processing":[289],"effectively":[295],"analyze":[296],"development":[298],"changes":[300],"while":[305],"find":[312],"near-optimal":[314],"solution":[315],"optimize":[317],"path.":[320],"these":[323],"two":[324],"algorithms,":[325],"enriches":[328],"knowledge":[330],"field":[333],"village":[336,355],"entrepreneurship,":[342],"great":[346],"significance":[347],"planning":[350],"decision-making":[352],"ideas":[359],"methods":[361],"entrepreneurship.":[365]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}