Publication Information

{'id': 'https://openalex.org/W3036909545', 'doi': 'https://doi.org/10.1109/informatics47936.2019.9119297', 'title': 'Reconstruction of Corrupted Vector Fields using Radial Basis Functions', 'display_name': 'Reconstruction of Corrupted Vector Fields using Radial Basis Functions', 'publication_year': 2019, 'publication_date': '2019-11-01', 'ids': {'openalex': 'https://openalex.org/W3036909545', 'doi': 'https://doi.org/10.1109/informatics47936.2019.9119297', 'mag': '3036909545'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/informatics47936.2019.9119297', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': False, 'oa_status': 'closed', 'oa_url': None, 'any_repository_has_fulltext': False}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5078356823', 'display_name': 'Michal Smolik', 'orcid': 'https://orcid.org/0000-0001-6409-1691'}, 'institutions': [{'id': 'https://openalex.org/I92715842', 'display_name': 'University of West Bohemia', 'ror': 'https://ror.org/040t43x18', 'country_code': 'CZ', 'type': 'education', 'lineage': ['https://openalex.org/I92715842']}], 'countries': ['CZ'], 'is_corresponding': False, 'raw_author_name': 'Michal Smolik', 'raw_affiliation_strings': ['Department of Computer Science and Engineering, University of West Bohemia, Plzen, Czech Republic'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer Science and Engineering, University of West Bohemia, Plzen, Czech Republic', 'institution_ids': ['https://openalex.org/I92715842']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5035524167', 'display_name': 'Václav Skala', 'orcid': 'https://orcid.org/0000-0001-8886-4281'}, 'institutions': [{'id': 'https://openalex.org/I92715842', 'display_name': 'University of West Bohemia', 'ror': 'https://ror.org/040t43x18', 'country_code': 'CZ', 'type': 'education', 'lineage': ['https://openalex.org/I92715842']}], 'countries': ['CZ'], 'is_corresponding': False, 'raw_author_name': 'Vaclav Skala', 'raw_affiliation_strings': ['Department of Computer Science and Engineering, University of West Bohemia, Plzen, Czech Republic'], 'affiliations': [{'raw_affiliation_string': 'Department of Computer Science and Engineering, University of West Bohemia, Plzen, Czech Republic', 'institution_ids': ['https://openalex.org/I92715842']}]}], 'institution_assertions': [], 'countries_distinct_count': 1, 'institutions_distinct_count': 1, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 0.115, 'has_fulltext': False, 'cited_by_count': 2, 'citation_normalized_percentile': {'value': 0.456861, 'is_in_top_1_percent': False, 'is_in_top_10_percent': False}, 'cited_by_percentile_year': {'min': 69, 'max': 74}, 'biblio': {'volume': None, 'issue': None, 'first_page': '000377', 'last_page': '000382'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11206', 'display_name': 'Model Reduction and Neural Networks', 'score': 0.9992, 'subfield': {'id': 'https://openalex.org/subfields/3109', 'display_name': 'Statistical and Nonlinear Physics'}, '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/T11206', 'display_name': 'Model Reduction and Neural Networks', 'score': 0.9992, 'subfield': {'id': 'https://openalex.org/subfields/3109', 'display_name': 'Statistical and Nonlinear Physics'}, '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/T10360', 'display_name': 'Fluid Dynamics and Turbulent Flows', 'score': 0.9992, 'subfield': {'id': 'https://openalex.org/subfields/2206', 'display_name': 'Computational Mechanics'}, 'field': {'id': 'https://openalex.org/fields/22', 'display_name': 'Engineering'}, 'domain': {'id': 'https://openalex.org/domains/3', 'display_name': 'Physical Sciences'}}, {'id': 'https://openalex.org/T10173', 'display_name': 'Computational Fluid Dynamics and Aerodynamics', 'score': 0.9889, 'subfield': {'id': 'https://openalex.org/subfields/2206', 'display_name': 'Computational Mechanics'}, '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/basis', 'display_name': 'Basis (linear algebra)', 'score': 0.6629183}, {'id': 'https://openalex.org/keywords/direction-vector', 'display_name': 'Direction vector', 'score': 0.577973}, {'id': 'https://openalex.org/keywords/euclidean-vector', 'display_name': 'Euclidean vector', 'score': 0.51190007}, {'id': 'https://openalex.org/keywords/basis-function', 'display_name': 'Basis function', 'score': 0.4878395}, {'id': 'https://openalex.org/keywords/invisibility', 'display_name': 'Invisibility', 'score': 0.46241757}, {'id': 'https://openalex.org/keywords/vector-flow', 'display_name': 'Vector flow', 'score': 0.41822118}], 'concepts': [{'id': 'https://openalex.org/C91188154', 'wikidata': 'https://www.wikidata.org/wiki/Q186247', 'display_name': 'Vector field', 'level': 2, 'score': 0.90724134}, {'id': 'https://openalex.org/C12426560', 'wikidata': 'https://www.wikidata.org/wiki/Q189569', 'display_name': 'Basis (linear algebra)', 'level': 2, 'score': 0.6629183}, {'id': 'https://openalex.org/C98856871', 'wikidata': 'https://www.wikidata.org/wiki/Q1588488', 'display_name': 'Radial basis function', 'level': 3, 'score': 0.61543417}, {'id': 'https://openalex.org/C137318105', 'wikidata': 'https://www.wikidata.org/wiki/Q36255', 'display_name': 'Direction vector', 'level': 2, 'score': 0.577973}, {'id': 'https://openalex.org/C9652623', 'wikidata': 'https://www.wikidata.org/wiki/Q190109', 'display_name': 'Field (mathematics)', 'level': 2, 'score': 0.5775272}, {'id': 'https://openalex.org/C2988738274', 'wikidata': 'https://www.wikidata.org/wiki/Q11465', 'display_name': 'Velocity vector', 'level': 2, 'score': 0.5467717}, {'id': 'https://openalex.org/C118965365', 'wikidata': 'https://www.wikidata.org/wiki/Q44528', 'display_name': 'Euclidean vector', 'level': 2, 'score': 0.51190007}, {'id': 'https://openalex.org/C5917680', 'wikidata': 'https://www.wikidata.org/wiki/Q2621825', 'display_name': 'Basis function', 'level': 2, 'score': 0.4878395}, {'id': 'https://openalex.org/C2027888', 'wikidata': 'https://www.wikidata.org/wiki/Q521126', 'display_name': 'Vector potential', 'level': 3, 'score': 0.466556}, {'id': 'https://openalex.org/C50962388', 'wikidata': 'https://www.wikidata.org/wiki/Q762018', 'display_name': 'Invisibility', 'level': 2, 'score': 0.46241757}, {'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.45505056}, {'id': 'https://openalex.org/C20749125', 'wikidata': 'https://www.wikidata.org/wiki/Q7917826', 'display_name': 'Vector flow', 'level': 4, 'score': 0.41822118}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.41645476}, {'id': 'https://openalex.org/C7451433', 'wikidata': 'https://www.wikidata.org/wiki/Q1265039', 'display_name': 'Solenoidal vector field', 'level': 3, 'score': 0.4105347}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.38667142}, {'id': 'https://openalex.org/C11413529', 'wikidata': 'https://www.wikidata.org/wiki/Q8366', 'display_name': 'Algorithm', 'level': 1, 'score': 0.37608793}, {'id': 'https://openalex.org/C134306372', 'wikidata': 'https://www.wikidata.org/wiki/Q7754', 'display_name': 'Mathematical analysis', 'level': 1, 'score': 0.19875976}, {'id': 'https://openalex.org/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.14432517}, {'id': 'https://openalex.org/C121332964', 'wikidata': 'https://www.wikidata.org/wiki/Q413', 'display_name': 'Physics', 'level': 0, 'score': 0.1426985}, {'id': 'https://openalex.org/C50644808', 'wikidata': 'https://www.wikidata.org/wiki/Q192776', 'display_name': 'Artificial neural network', 'level': 2, 'score': 0.13221458}, {'id': 'https://openalex.org/C124504099', 'wikidata': 'https://www.wikidata.org/wiki/Q56933', 'display_name': 'Image segmentation', 'level': 3, 'score': 0.11698422}, {'id': 'https://openalex.org/C115961682', 'wikidata': 'https://www.wikidata.org/wiki/Q860623', 'display_name': 'Image (mathematics)', 'level': 2, 'score': 0.08732173}, {'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/C115260700', 'wikidata': 'https://www.wikidata.org/wiki/Q11408', 'display_name': 'Magnetic field', 'level': 2, 'score': 0.0}, {'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/C30475298', 'wikidata': 'https://www.wikidata.org/wiki/Q909554', 'display_name': 'Computational physics', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 1, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1109/informatics47936.2019.9119297', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}], 'best_oa_location': None, 'sustainable_development_goals': [{'score': 0.52, 'display_name': 'Sustainable cities and communities', 'id': 'https://metadata.un.org/sdg/11'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 24, 'referenced_works': ['https://openalex.org/W1513629148', 'https://openalex.org/W1556083071', 'https://openalex.org/W19451620', 'https://openalex.org/W1971519787', 'https://openalex.org/W1994196295', 'https://openalex.org/W1996243745', 'https://openalex.org/W2000922989', 'https://openalex.org/W2030869975', 'https://openalex.org/W2039018357', 'https://openalex.org/W2071730188', 'https://openalex.org/W2089503001', 'https://openalex.org/W2095769364', 'https://openalex.org/W2100794976', 'https://openalex.org/W2104004838', 'https://openalex.org/W2107784914', 'https://openalex.org/W2118726547', 'https://openalex.org/W2136219194', 'https://openalex.org/W2296573708', 'https://openalex.org/W2481312347', 'https://openalex.org/W2586866088', 'https://openalex.org/W2592159171', 'https://openalex.org/W2612990564', 'https://openalex.org/W2770133880', 'https://openalex.org/W2884542752'], 'related_works': ['https://openalex.org/W94582005', 'https://openalex.org/W4229447705', 'https://openalex.org/W3036909545', 'https://openalex.org/W2197084903', 'https://openalex.org/W2051672615', 'https://openalex.org/W2001646560', 'https://openalex.org/W1979120450', 'https://openalex.org/W1843684483', 'https://openalex.org/W1578997343', 'https://openalex.org/W121367865'], 'abstract_inverted_index': {'The': [0, 118], 'vector': [1, 21, 33, 57, 65, 76, 95, 108], 'fields': [2], 'may': [3], 'be': [4, 24], 'results': [5, 119], 'from': [6], 'the': [7, 15, 20, 32, 52, 61, 64, 75, 79, 90, 94, 104, 107, 121], 'measurements': [8], 'of': [9, 19, 31, 54, 74, 93, 106, 120], 'real': [10], 'flow': [11], 'experiments.': [12], 'However,': [13], 'during': [14], 'measurements,': [16], 'some': [17, 29, 42, 116], 'parts': [18, 30], 'field': [22, 34, 66, 96], 'can': [23], 'measured': [25, 68, 114], 'incorrectly': [26, 69], 'or': [27], 'even': [28], 'are': [35, 124], 'not': [36], 'possible': [37], 'to': [38, 41, 88, 100], 'capture': [39], 'due': [40], 'shading': [43], 'and': [44, 70, 102], 'invisibility.': [45], 'In': [46], 'this': [47, 127], 'paper,': [48], 'we': [49, 81], 'focus': [50], 'on': [51], 'reconstruction': [53], 'such': [55], 'corrupted': [56], 'fields.': [58], 'We': [59], 'detect': [60], 'locations,': [62], 'where': [63, 110], 'was': [67, 112], 'reconstruct': [71], 'those': [72], 'locations': [73, 92, 105], 'field.': [77], 'For': [78], 'reconstruction,': [80], 'use': [82], 'Radial': [83], 'Basis': [84], 'Functions': [85], '(RBF)': [86], 'approximation': [87], 'fill': [89], 'missing': [91], 'as': [97, 99], 'well': [98], 'correct': [101], 'smooth': [103], 'field,': [109], 'it': [111], 'probably': [113], 'with': [115], 'error.': [117], 'proposed': [122], 'method': [123], 'presented': [125], 'in': [126], 'paper.': [128]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3036909545', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2022, 'cited_by_count': 1}], 'updated_date': '2024-12-12T16:16:07.496432', 'created_date': '2020-06-25'}