{"id":"https://openalex.org/W4402513190","doi":"https://doi.org/10.1145/3688574.3688588","title":"The application of big data to the conservation of wildlife in highland areas","display_name":"The application of big data to the conservation of wildlife in highland areas","publication_year":2024,"publication_date":"2024-07-24","ids":{"openalex":"https://openalex.org/W4402513190","doi":"https://doi.org/10.1145/3688574.3688588"},"language":"en","primary_location":{"id":"doi:10.1145/3688574.3688588","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688574.3688588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Big Data Engineering","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/A5108153273","display_name":"Chenlong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chenlong Liu","raw_affiliation_strings":["Qinghai Minzu University, China"],"affiliations":[{"raw_affiliation_string":"Qinghai Minzu University, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049829671","display_name":"Baofeng Hui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"baofeng Hui","raw_affiliation_strings":["Qinghai Minzu University, China"],"affiliations":[{"raw_affiliation_string":"Qinghai Minzu University, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086724640","display_name":"Mingxiao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mingxiao Li","raw_affiliation_strings":["Qinghai Minzu University, China"],"affiliations":[{"raw_affiliation_string":"Qinghai Minzu University, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5108153273"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03064108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"94","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10895","display_name":"Species Distribution and Climate Change","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9768000245094299,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9538999795913696,"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/T13398","display_name":"Data Analysis with R","score":0.902400016784668,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wildlife","display_name":"Wildlife","score":0.768494725227356},{"id":"https://openalex.org/keywords/wildlife-conservation","display_name":"Wildlife conservation","score":0.5863898396492004},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5501981377601624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5348231792449951},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.1351952850818634},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08834221959114075},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.08598923683166504}],"concepts":[{"id":"https://openalex.org/C29376679","wikidata":"https://www.wikidata.org/wiki/Q241741","display_name":"Wildlife","level":2,"score":0.768494725227356},{"id":"https://openalex.org/C147366489","wikidata":"https://www.wikidata.org/wiki/Q766328","display_name":"Wildlife conservation","level":3,"score":0.5863898396492004},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5501981377601624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5348231792449951},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.1351952850818634},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08834221959114075},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.08598923683166504}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3688574.3688588","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3688574.3688588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 6th International Conference on Big Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.7300000190734863,"display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W39336361","https://openalex.org/W2101860938","https://openalex.org/W2542411042","https://openalex.org/W2990714382","https://openalex.org/W3005101864","https://openalex.org/W3032464132","https://openalex.org/W3146366485","https://openalex.org/W4229336425","https://openalex.org/W4231290138","https://openalex.org/W4285238123","https://openalex.org/W4366683916","https://openalex.org/W4382059335","https://openalex.org/W4385342336","https://openalex.org/W4387095462","https://openalex.org/W6751393009"],"related_works":["https://openalex.org/W1583090609","https://openalex.org/W1980323938","https://openalex.org/W2257149836","https://openalex.org/W1561334328","https://openalex.org/W634588095","https://openalex.org/W2000315402","https://openalex.org/W3118313439","https://openalex.org/W2047649762","https://openalex.org/W4319429997","https://openalex.org/W2605546711"],"abstract_inverted_index":{"The":[0,17],"protection":[1,70,139,142],"of":[2,9,14,41,64,71,80,108,131,143],"wildlife":[3,32,72,109,144],"is":[4,24],"pivotal":[5],"to":[6,50,103,114,158],"the":[7,12,21,31,35,57,62,69,129,146],"maintenance":[8],"biodiversity":[10],"and":[11,30,40,52,84,87,95,99,120,162],"preservation":[13],"ecological":[15,18,160],"balance.":[16],"environment":[19],"in":[20,34,56,68,73,145],"plateau":[22,36,74,147],"region":[23,37,148],"obviously":[25],"different":[26,106],"from":[27,82],"other":[28],"regions,":[29],"species":[33,107],"are":[38,46],"special":[39],"high":[42],"research":[43],"value,":[44],"which":[45,123],"significantly":[47],"more":[48],"difficult":[49],"discover":[51],"protect":[53],"than":[54],"those":[55],"plains.":[58],"This":[59],"paper":[60],"discusses":[61],"application":[63],"big":[65,155],"data":[66,81,100,156],"technology":[67,157],"areas.":[75],"By":[76],"collecting":[77],"large":[78],"amounts":[79],"drones":[83],"cameras,":[85],"analyzing":[86],"processing":[88],"images":[89],"using":[90],"deep":[91],"learning-based":[92],"YOLO":[93],"v8":[94],"introducing":[96],"attention":[97],"mechanisms":[98],"enhancement":[101],"modules":[102],"improve":[104],"efficiency,":[105],"can":[110,124,149],"be":[111,150],"better":[112],"identified":[113],"understand":[115],"their":[116],"habitats,":[117],"migration":[118],"routes,":[119],"population":[121],"sizes,":[122],"provide":[125],"scientific":[126,134],"evidence":[127],"for":[128,136],"development":[130],"effective":[132,138],"Provide":[133],"basis":[135],"formulating":[137],"measures.":[140],"Comprehensive":[141],"realized":[151],"by":[152],"comprehensively":[153],"utilizing":[154],"promote":[159],"balance":[161],"sustainable":[163],"development.":[164]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
