{"id":"https://openalex.org/W4224246925","doi":"https://doi.org/10.1007/s11042-022-13180-9","title":"FFT based ensembled model to predict ranks of higher educational institutions","display_name":"FFT based ensembled model to predict ranks of higher educational institutions","publication_year":2022,"publication_date":"2022-04-22","ids":{"openalex":"https://openalex.org/W4224246925","doi":"https://doi.org/10.1007/s11042-022-13180-9"},"language":"en","primary_location":{"id":"doi:10.1007/s11042-022-13180-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-022-13180-9","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-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/A5030030641","display_name":"Nidhi Agarwal","orcid":"https://orcid.org/0000-0002-9044-8989"},"institutions":[{"id":"https://openalex.org/I166533956","display_name":"Institute of Management Technology","ror":"https://ror.org/05k0kb696","country_code":"IN","type":"education","lineage":["https://openalex.org/I166533956"]},{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nidhi Agarwal","raw_affiliation_strings":["Computer Science and Engineering, IGDTUW, Delhi, India","KIET Group Of Institutions, Delhi-NCR, Ghaziabad, Uttar Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0002-9044-8989","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, IGDTUW, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]},{"raw_affiliation_string":"KIET Group Of Institutions, Delhi-NCR, Ghaziabad, Uttar Pradesh, India","institution_ids":["https://openalex.org/I166533956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074475302","display_name":"Devendra K. Tayal","orcid":"https://orcid.org/0000-0001-7388-5880"},"institutions":[{"id":"https://openalex.org/I4210143260","display_name":"Indira Gandhi Delhi Technical University for Women","ror":"https://ror.org/057c5p638","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210143260"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Devendra K. Tayal","raw_affiliation_strings":["Computer Science and Engineering, IGDTUW, Delhi, India"],"raw_orcid":"https://orcid.org/0000-0001-7388-5880","affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, IGDTUW, Delhi, India","institution_ids":["https://openalex.org/I4210143260"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074475302"],"corresponding_institution_ids":["https://openalex.org/I4210143260"],"apc_list":{"value":2890,"currency":"USD","value_usd":2890},"apc_paid":null,"fwci":7.4217,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.97399652,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"81","issue":"23","first_page":"34129","last_page":"34162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11122","display_name":"Online Learning and Analytics","score":0.941100001335144,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/fast-fourier-transform","display_name":"Fast Fourier transform","score":0.813279390335083},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.707263708114624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6826766133308411},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6407996416091919},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5916089415550232},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5736912488937378},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5444049835205078},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5299583077430725},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5252844095230103},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5139843821525574},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5015668869018555},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.47667646408081055},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.4663279354572296},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4234873652458191},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35193705558776855},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3328660726547241},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19682905077934265},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18066489696502686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16712108254432678}],"concepts":[{"id":"https://openalex.org/C75172450","wikidata":"https://www.wikidata.org/wiki/Q623950","display_name":"Fast Fourier transform","level":2,"score":0.813279390335083},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.707263708114624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6826766133308411},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6407996416091919},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5916089415550232},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5736912488937378},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5444049835205078},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5299583077430725},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5252844095230103},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5139843821525574},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5015668869018555},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.47667646408081055},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.4663279354572296},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4234873652458191},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35193705558776855},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3328660726547241},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19682905077934265},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18066489696502686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16712108254432678},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11042-022-13180-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11042-022-13180-9","pdf_url":null,"source":{"id":"https://openalex.org/S110206669","display_name":"Multimedia Tools and Applications","issn_l":"1380-7501","issn":["1380-7501","1573-7721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Multimedia Tools and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1777285354","https://openalex.org/W1981211771","https://openalex.org/W1997429009","https://openalex.org/W2046308864","https://openalex.org/W2048456683","https://openalex.org/W2049169605","https://openalex.org/W2049388110","https://openalex.org/W2062302861","https://openalex.org/W2102021287","https://openalex.org/W2105197537","https://openalex.org/W2112930360","https://openalex.org/W2113268290","https://openalex.org/W2116707596","https://openalex.org/W2135850590","https://openalex.org/W2279630689","https://openalex.org/W2436373229","https://openalex.org/W2468566926","https://openalex.org/W2554202403","https://openalex.org/W2554440378","https://openalex.org/W2598452618","https://openalex.org/W2616438357","https://openalex.org/W2764040943","https://openalex.org/W2793336762","https://openalex.org/W2799244653","https://openalex.org/W2884613110","https://openalex.org/W2905155550","https://openalex.org/W2945842061","https://openalex.org/W2996372523","https://openalex.org/W2996681836","https://openalex.org/W3012257539","https://openalex.org/W3022860268","https://openalex.org/W3029942265","https://openalex.org/W3034280731","https://openalex.org/W3043035290","https://openalex.org/W3044907535","https://openalex.org/W3045435486","https://openalex.org/W3047562458","https://openalex.org/W3080532541","https://openalex.org/W3083937550","https://openalex.org/W3120074379","https://openalex.org/W3196963938","https://openalex.org/W4200411312","https://openalex.org/W4230755840"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W2994772185","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W4286643620","https://openalex.org/W2523437662","https://openalex.org/W4387048144","https://openalex.org/W2492135063","https://openalex.org/W2362514456","https://openalex.org/W2766585573"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":11}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
