{"id":"https://openalex.org/W3193999130","doi":"https://doi.org/10.3390/s21175688","title":"Wireless Signal Propagation Prediction Based on Computer Vision Sensing Technology for Forestry Security Monitoring","display_name":"Wireless Signal Propagation Prediction Based on Computer Vision Sensing Technology for Forestry Security Monitoring","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W3193999130","doi":"https://doi.org/10.3390/s21175688","mag":"3193999130","pmid":"https://pubmed.ncbi.nlm.nih.gov/34502579"},"language":"en","primary_location":{"id":"doi:10.3390/s21175688","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175688","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5688/pdf?version=1629799914","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/17/5688/pdf?version=1629799914","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001890082","display_name":"Jialuan He","orcid":null},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialuan He","raw_affiliation_strings":["Beijing Aerocim Technology Co., Ltd., Beijing 102308, China","School of Mechanical Electronic & Information Engineering, China University of Mining & Technology, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Aerocim Technology Co., Ltd., Beijing 102308, China","institution_ids":[]},{"raw_affiliation_string":"School of Mechanical Electronic & Information Engineering, China University of Mining & Technology, Beijing 100083, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022767380","display_name":"Zirui Xing","orcid":"https://orcid.org/0000-0002-9998-4243"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zirui Xing","raw_affiliation_strings":["Beijing Aerocim Technology Co., Ltd., Beijing 102308, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Aerocim Technology Co., Ltd., Beijing 102308, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023917846","display_name":"Tianqi Xiang","orcid":"https://orcid.org/0000-0002-1242-2409"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Xiang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"raw_orcid":"https://orcid.org/0000-0002-1242-2409","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100666000","display_name":"Xin Zhang","orcid":"https://orcid.org/0000-0002-9987-0844"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhang","raw_affiliation_strings":["School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China"],"raw_orcid":"https://orcid.org/0000-0002-9987-0844","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056097781","display_name":"Yinghai Zhou","orcid":"https://orcid.org/0000-0001-9424-8282"},"institutions":[{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinghai Zhou","raw_affiliation_strings":["China Academy of Engineer Physics, Institute of Computer Application, Mianyang 621054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Engineer Physics, Institute of Computer Application, Mianyang 621054, China","institution_ids":["https://openalex.org/I2801345734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017006166","display_name":"XI Chuan-yu","orcid":"https://orcid.org/0000-0002-0361-701X"},"institutions":[{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyu Xi","raw_affiliation_strings":["China Academy of Engineer Physics, Institute of Computer Application, Mianyang 621054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Engineer Physics, Institute of Computer Application, Mianyang 621054, China","institution_ids":["https://openalex.org/I2801345734"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101760336","display_name":"Hai Lu","orcid":"https://orcid.org/0000-0001-6878-6853"},"institutions":[{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hai Lu","raw_affiliation_strings":["China Academy of Engineer Physics, Institute of Computer Application, Mianyang 621054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Engineer Physics, Institute of Computer Application, Mianyang 621054, China","institution_ids":["https://openalex.org/I2801345734"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101760336"],"corresponding_institution_ids":["https://openalex.org/I2801345734"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.0915,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.40562687,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"21","issue":"17","first_page":"5688","last_page":"5688"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9686999917030334,"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":0.9686999917030334,"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/T13567","display_name":"AI and Multimedia in Education","score":0.958299994468689,"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9476000070571899,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7040442824363708},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5448328256607056},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5166919231414795},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.5107038617134094},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5061988234519958},{"id":"https://openalex.org/keywords/propagation-of-uncertainty","display_name":"Propagation of uncertainty","score":0.4870157837867737},{"id":"https://openalex.org/keywords/wireless-network","display_name":"Wireless network","score":0.481415718793869},{"id":"https://openalex.org/keywords/fading","display_name":"Fading","score":0.474410742521286},{"id":"https://openalex.org/keywords/shadow","display_name":"Shadow (psychology)","score":0.4660554826259613},{"id":"https://openalex.org/keywords/radio-propagation","display_name":"Radio propagation","score":0.45645779371261597},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4235716462135315},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3508511185646057},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3101566433906555},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15099477767944336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12961599230766296},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11631053686141968}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7040442824363708},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5448328256607056},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5166919231414795},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.5107038617134094},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5061988234519958},{"id":"https://openalex.org/C123614077","wikidata":"https://www.wikidata.org/wiki/Q1364905","display_name":"Propagation of uncertainty","level":2,"score":0.4870157837867737},{"id":"https://openalex.org/C108037233","wikidata":"https://www.wikidata.org/wiki/Q11375","display_name":"Wireless network","level":3,"score":0.481415718793869},{"id":"https://openalex.org/C81978471","wikidata":"https://www.wikidata.org/wiki/Q1196572","display_name":"Fading","level":3,"score":0.474410742521286},{"id":"https://openalex.org/C117797892","wikidata":"https://www.wikidata.org/wiki/Q286363","display_name":"Shadow (psychology)","level":2,"score":0.4660554826259613},{"id":"https://openalex.org/C202311505","wikidata":"https://www.wikidata.org/wiki/Q1474701","display_name":"Radio propagation","level":2,"score":0.45645779371261597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4235716462135315},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3508511185646057},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3101566433906555},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15099477767944336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12961599230766296},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11631053686141968},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003201","descriptor_name":"Computers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013672","descriptor_name":"Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013672","descriptor_name":"Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013672","descriptor_name":"Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016468","descriptor_name":"Forestry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016468","descriptor_name":"Forestry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016468","descriptor_name":"Forestry","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s21175688","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175688","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5688/pdf?version=1629799914","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:34502579","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34502579","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:682c0207a16c456aadbec2e75f244da0","is_oa":true,"landing_page_url":"https://doaj.org/article/682c0207a16c456aadbec2e75f244da0","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 17, p 5688 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/17/5688/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21175688","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 17; Pages: 5688","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8433789","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8433789","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21175688","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21175688","pdf_url":"https://www.mdpi.com/1424-8220/21/17/5688/pdf?version=1629799914","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3193999130.pdf","grobid_xml":"https://content.openalex.org/works/W3193999130.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1686810756","https://openalex.org/W1999414410","https://openalex.org/W2171952918","https://openalex.org/W2485242819","https://openalex.org/W2517090573","https://openalex.org/W2784179219","https://openalex.org/W2804493085","https://openalex.org/W2883898841","https://openalex.org/W2885243427","https://openalex.org/W2901742371","https://openalex.org/W2913576883","https://openalex.org/W2936660115","https://openalex.org/W2967222990","https://openalex.org/W2970550816","https://openalex.org/W2976122791","https://openalex.org/W2976882027","https://openalex.org/W2981842983","https://openalex.org/W3002823324","https://openalex.org/W3006543606","https://openalex.org/W3008424049","https://openalex.org/W3014571735","https://openalex.org/W3026575561","https://openalex.org/W3036568251","https://openalex.org/W3089739838","https://openalex.org/W3098596104","https://openalex.org/W3117922432","https://openalex.org/W3128300091","https://openalex.org/W3173723086"],"related_works":["https://openalex.org/W2327053383","https://openalex.org/W2356834760","https://openalex.org/W1964600846","https://openalex.org/W2127563499","https://openalex.org/W2120897947","https://openalex.org/W2030191005","https://openalex.org/W1865172210","https://openalex.org/W2383666613","https://openalex.org/W2119292591","https://openalex.org/W2047443988"],"abstract_inverted_index":{"In":[0,36],"this":[1,37,197],"paper,":[2,198],"Computer":[3],"Vision":[4],"(CV)":[5],"sensing":[6,234],"technology":[7,235],"based":[8],"on":[9,95],"Convolutional":[10],"Neural":[11],"Network":[12],"(CNN)":[13],"is":[14,207,236],"introduced":[15],"to":[16,74,85,105,252],"process":[17],"topographic":[18],"maps":[19],"for":[20,65,82,92,199],"predicting":[21],"wireless":[22],"signal":[23],"propagation":[24,42],"models,":[25],"which":[26,200],"are":[27,63,72,98],"applied":[28],"in":[29,100,118,188,196,239,243],"the":[30,39,66,76,80,83,96,103,108,126,133,144,153,160,171,194,201,212,244,254,266],"field":[31],"of":[32,120,132,143,159,170,191,204,216,257,270],"forestry":[33],"security":[34],"monitoring.":[35],"way,":[38],"terrain-related":[40],"radio":[41],"characteristic":[43],"including":[44],"diffraction":[45,87,127,180],"loss":[46,128],"and":[47,58,71,123,141,168,211,261,268],"shadow":[48],"fading":[49],"correlation":[50,154],"distance":[51,155],"can":[52,220],"be":[53,221],"predicted":[54,186],"or":[55],"extracted":[56],"accurately":[57],"efficiently.":[59],"Two":[60],"data":[61],"sets":[62],"generated":[64],"two":[67],"prediction":[68,121,129,135,146,162,173,259],"tasks,":[69],"respectively,":[70],"used":[73],"train":[75],"CNN.":[77],"To":[78],"enhance":[79],"efficiency":[81,267],"CNN":[84,104,192],"predict":[86],"losses,":[88],"multiple":[89],"output":[90],"values":[91],"different":[93],"locations":[94],"map":[97,206],"obtained":[99],"parallel":[101],"by":[102],"greatly":[106],"boost":[107],"calculation":[109],"speed.":[110],"The":[111],"proposed":[112,232],"scheme":[113],"achieved":[114],"a":[115,248,258],"good":[116],"performance":[117],"terms":[119],"accuracy":[122,269],"efficiency.":[124],"For":[125,152],"task,":[130,157],"50%":[131,158],"normalized":[134,145,161,172],"error":[136,147,163,174],"was":[137,148,164,175],"less":[138,149,165,176],"than":[139,150,166,177],"0.518%,":[140],"95%":[142,169],"8.238%.":[151],"extraction":[156],"1.747%,":[167],"6.423%.":[178],"Moreover,":[179],"losses":[181],"at":[182],"100":[183],"positions":[184],"were":[185],"simultaneously":[187],"one":[189,205,217],"run":[190],"under":[193],"settings":[195],"processing":[202,214,240],"time":[203,215],"about":[208],"6.28":[209],"ms,":[210],"average":[213],"location":[218],"point":[219],"as":[222,224],"low":[223],"62.8":[225],"us.":[226],"This":[227],"paper":[228],"shows":[229],"that":[230],"our":[231],"CV":[233],"more":[237],"efficient":[238],"geographic":[241,262],"information":[242],"target":[245],"area.":[246],"Combining":[247],"convolutional":[249],"neural":[250],"network":[251],"realize":[253],"close":[255],"coupling":[256],"model":[260],"information,":[263],"it":[264],"improves":[265],"prediction.":[271]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
