{"id":"https://openalex.org/W3197088158","doi":"https://doi.org/10.1088/2632-2153/ac1fc8","title":"Fast 3D particle reconstruction using a convolutional neural network: application to dusty plasmas","display_name":"Fast 3D particle reconstruction using a convolutional neural network: application to dusty plasmas","publication_year":2021,"publication_date":"2021-09-02","ids":{"openalex":"https://openalex.org/W3197088158","doi":"https://doi.org/10.1088/2632-2153/ac1fc8","mag":"3197088158"},"language":"en","primary_location":{"id":"doi:10.1088/2632-2153/ac1fc8","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ac1fc8","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac1fc8/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac1fc8/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069613956","display_name":"Michael Himpel","orcid":"https://orcid.org/0000-0001-6710-0071"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michael Himpel","raw_affiliation_strings":["University Greifswald, 17489 Greifswald, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6710-0071","affiliations":[{"raw_affiliation_string":"University Greifswald, 17489 Greifswald, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079463070","display_name":"A. Melzer","orcid":"https://orcid.org/0000-0001-9301-9357"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Melzer","raw_affiliation_strings":["University Greifswald, 17489 Greifswald, Germany"],"raw_orcid":"https://orcid.org/0000-0001-9301-9357","affiliations":[{"raw_affiliation_string":"University Greifswald, 17489 Greifswald, Germany","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069613956"],"corresponding_institution_ids":[],"apc_list":{"value":1600,"currency":"GBP","value_usd":1962},"apc_paid":{"value":1600,"currency":"GBP","value_usd":1962},"fwci":2.2442,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.88435726,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":"4","first_page":"045019","last_page":"045019"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11603","display_name":"Dust and Plasma Wave Phenomena","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11603","display_name":"Dust and Plasma Wave Phenomena","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11996","display_name":"Random lasers and scattering media","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12350","display_name":"Particle Dynamics in Fluid Flows","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/dusty-plasma","display_name":"Dusty plasma","score":0.7014219164848328},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6912665963172913},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.6111503839492798},{"id":"https://openalex.org/keywords/stereoscopy","display_name":"Stereoscopy","score":0.6058844327926636},{"id":"https://openalex.org/keywords/plasma","display_name":"Plasma","score":0.5831996202468872},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46058788895606995},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.4589143991470337},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4485430419445038},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4287843406200409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3985767662525177},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.10862559080123901}],"concepts":[{"id":"https://openalex.org/C4424474","wikidata":"https://www.wikidata.org/wiki/Q1073184","display_name":"Dusty plasma","level":3,"score":0.7014219164848328},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6912665963172913},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.6111503839492798},{"id":"https://openalex.org/C126057942","wikidata":"https://www.wikidata.org/wiki/Q35158","display_name":"Stereoscopy","level":2,"score":0.6058844327926636},{"id":"https://openalex.org/C82706917","wikidata":"https://www.wikidata.org/wiki/Q10251","display_name":"Plasma","level":2,"score":0.5831996202468872},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46058788895606995},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.4589143991470337},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4485430419445038},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4287843406200409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3985767662525177},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.10862559080123901},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1088/2632-2153/ac1fc8","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ac1fc8","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac1fc8/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1088/2632-2153/ac1fc8","is_oa":true,"landing_page_url":"https://doi.org/10.1088/2632-2153/ac1fc8","pdf_url":"https://iopscience.iop.org/article/10.1088/2632-2153/ac1fc8/pdf","source":{"id":"https://openalex.org/S4210200687","display_name":"Machine Learning Science and Technology","issn_l":"2632-2153","issn":["2632-2153"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320083","host_organization_name":"IOP Publishing","host_organization_lineage":["https://openalex.org/P4310320083","https://openalex.org/P4310311669"],"host_organization_lineage_names":["IOP Publishing","Institute of Physics"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning: Science and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4699999988079071,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G4271359613","display_name":null,"funder_award_id":"50WM1962","funder_id":"https://openalex.org/F4320321602","funder_display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt"}],"funders":[{"id":"https://openalex.org/F4320321602","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt","ror":"https://ror.org/04bwf3e34"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1965223023","https://openalex.org/W1965676217","https://openalex.org/W1982482673","https://openalex.org/W1987869189","https://openalex.org/W2002594917","https://openalex.org/W2002853895","https://openalex.org/W2009676221","https://openalex.org/W2011554370","https://openalex.org/W2022764115","https://openalex.org/W2032309574","https://openalex.org/W2069503144","https://openalex.org/W2092319825","https://openalex.org/W2105934661","https://openalex.org/W2116808261","https://openalex.org/W2123402141","https://openalex.org/W2167667767","https://openalex.org/W2343447907","https://openalex.org/W2766082179","https://openalex.org/W2774990441","https://openalex.org/W2809314013","https://openalex.org/W2886198841","https://openalex.org/W2921824592","https://openalex.org/W2962766617","https://openalex.org/W2973742653","https://openalex.org/W3075147703","https://openalex.org/W3173070646","https://openalex.org/W3173971115","https://openalex.org/W6768211925"],"related_works":["https://openalex.org/W1985638713","https://openalex.org/W2753385733","https://openalex.org/W2069730212","https://openalex.org/W2780260897","https://openalex.org/W1597006258","https://openalex.org/W324129501","https://openalex.org/W2041183884","https://openalex.org/W2006150411","https://openalex.org/W2029584914","https://openalex.org/W1663180850"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"present":[2],"an":[3],"algorithm":[4],"to":[5,31],"reconstruct":[6],"the":[7,48,51,55,66,69,71,94],"three-dimensional":[8],"positions":[9,73],"of":[10,16,68,74],"particles":[11,17,75],"in":[12,18,76,81],"a":[13,19,23,37,77,82],"dense":[14,78],"cloud":[15,80],"dusty":[20,83],"plasma":[21,84],"using":[22,58,93],"convolutional":[24],"neural":[25,96],"network.":[26,97],"The":[27],"approach":[28,49,70],"is":[29],"found":[30],"be":[32],"very":[33],"fast":[34],"and":[35,46,54,61],"yields":[36],"relatively":[38],"high":[39],"accuracy.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"describe":[45],"examine":[47],"regarding":[50],"particle":[52],"number":[53],"reconstruction":[56],"accuracy":[57],"synthetic":[59],"data":[60],"experimental":[62],"data.":[63],"To":[64],"show":[65],"applicability":[67],"3D":[72],"dust":[79],"under":[85],"weightlessness":[86],"are":[87],"reconstructed":[88],"from":[89],"stereoscopic":[90],"camera":[91],"images":[92],"prescribed":[95]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
