{"id":"https://openalex.org/W4390071670","doi":"https://doi.org/10.1109/idaacs58523.2023.10348743","title":"Principal Component Analysis Visualization and State Discovery with Soil Data","display_name":"Principal Component Analysis Visualization and State Discovery with Soil Data","publication_year":2023,"publication_date":"2023-09-07","ids":{"openalex":"https://openalex.org/W4390071670","doi":"https://doi.org/10.1109/idaacs58523.2023.10348743"},"language":"en","primary_location":{"id":"doi:10.1109/idaacs58523.2023.10348743","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/idaacs58523.2023.10348743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","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/A5021603973","display_name":"Miki Sirola","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Miki Sirola","raw_affiliation_strings":["University of Helsinki,Helsinki,Finland,FI-00014"],"affiliations":[{"raw_affiliation_string":"University of Helsinki,Helsinki,Finland,FI-00014","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063212653","display_name":"Markku Koskinen","orcid":"https://orcid.org/0000-0002-9473-6064"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Markku Koskinen","raw_affiliation_strings":["University of Helsinki,Helsinki,Finland,FI-00014"],"affiliations":[{"raw_affiliation_string":"University of Helsinki,Helsinki,Finland,FI-00014","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048978347","display_name":"Tatu Polvinen","orcid":"https://orcid.org/0000-0001-8678-5870"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tatu Polvinen","raw_affiliation_strings":["University of Helsinki,Helsinki,Finland,FI-00014"],"affiliations":[{"raw_affiliation_string":"University of Helsinki,Helsinki,Finland,FI-00014","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024157483","display_name":"Mari Pihlatie","orcid":"https://orcid.org/0000-0001-6035-3949"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mari Pihlatie","raw_affiliation_strings":["University of Helsinki,Helsinki,Finland,FI-00014"],"affiliations":[{"raw_affiliation_string":"University of Helsinki,Helsinki,Finland,FI-00014","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021603973"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":null,"apc_paid":null,"fwci":0.1746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58972535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"21","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13650","display_name":"Computational Physics and Python Applications","score":0.9918000102043152,"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/T13650","display_name":"Computational Physics and Python Applications","score":0.9918000102043152,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9854999780654907,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9829999804496765,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7666732668876648},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7540320158004761},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6538814306259155},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.6358387470245361},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6071098446846008},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5919119119644165},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.542428731918335},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5284155607223511},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4532150626182556},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33106061816215515},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25787585973739624},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24430209398269653},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09974226355552673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666732668876648},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7540320158004761},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6538814306259155},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.6358387470245361},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6071098446846008},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5919119119644165},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.542428731918335},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5284155607223511},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4532150626182556},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33106061816215515},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25787585973739624},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24430209398269653},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09974226355552673},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idaacs58523.2023.10348743","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/idaacs58523.2023.10348743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1978562894","https://openalex.org/W2094779965","https://openalex.org/W2102536980","https://openalex.org/W2108891011","https://openalex.org/W2126823710","https://openalex.org/W2146145272","https://openalex.org/W2150593711","https://openalex.org/W2165870892","https://openalex.org/W2292046171","https://openalex.org/W2557228624","https://openalex.org/W2772990245","https://openalex.org/W2890435031","https://openalex.org/W2933015703","https://openalex.org/W2946111794","https://openalex.org/W2947829318","https://openalex.org/W3011374885","https://openalex.org/W3095054618","https://openalex.org/W3133689205","https://openalex.org/W3147037079","https://openalex.org/W3172130520","https://openalex.org/W3177243163","https://openalex.org/W4206234601","https://openalex.org/W4285408011","https://openalex.org/W4302797750","https://openalex.org/W6769288581"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W4317486777","https://openalex.org/W4389669152","https://openalex.org/W2038514069","https://openalex.org/W1967233468","https://openalex.org/W2009181529"],"abstract_inverted_index":{"Data":[0],"exploration":[1,102],"helps":[2],"to":[3,16,31,52],"gain":[4],"understanding":[5],"of":[6,20,85],"the":[7,10,53,66,71,78,92],"dataset":[8,55],"and":[9,126],"system":[11],"itself.":[12],"There":[13],"are":[14,29,106,137],"methodologies":[15],"handle":[17],"large":[18],"number":[19],"sensors":[21],"as":[22,82,131],"well.":[23],"In":[24,91],"this":[25,129],"paper":[26],"operational":[27,75],"states":[28,76],"defined":[30],"interpret":[32],"physical":[33],"behaviour":[34],"in":[35,77,108],"a":[36,83,132],"soil":[37,54,134],"ecosystem.":[38],"Dimensionality":[39],"reduction":[40],"is":[41,70,122],"achieved":[42],"with":[43,112,128],"Principal":[44],"Component":[45],"Analysis":[46],"(PCA)":[47],"method":[48],"giving":[49],"another":[50],"view":[51],"from":[56],"spring":[57],"term.":[58],"K-means":[59],"algorithm":[60],"groups":[61],"data":[62,81,120,130],"densities":[63],"by":[64],"clustering":[65],"data.":[67],"This":[68],"grouping":[69],"basis":[72],"for":[73],"defining":[74],"system.":[79],"Soil":[80],"part":[84],"an":[86,100],"ecosystem":[87,135],"involves":[88],"specific":[89],"features.":[90],"applied":[93],"approach":[94],"dynamic":[95],"visualization":[96,121],"including":[97],"animations":[98],"constitute":[99],"important":[101],"view.":[103],"All":[104],"experiments":[105],"realized":[107],"Jupyter":[109],"programming":[110,115],"environment":[111],"Python":[113],"3":[114],"language.":[116],"Related":[117],"literature":[118],"about":[119],"reviewed.":[123],"Combining":[124],"methods":[125],"tools":[127],"result":[133],"features":[136],"recognized.":[138]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
