{"id":"https://openalex.org/W3158403050","doi":"https://doi.org/10.1007/s00521-021-05976-x","title":"A data-driven approach based on deep neural networks for lithium-ion battery prognostics","display_name":"A data-driven approach based on deep neural networks for lithium-ion battery prognostics","publication_year":2021,"publication_date":"2021-04-23","ids":{"openalex":"https://openalex.org/W3158403050","doi":"https://doi.org/10.1007/s00521-021-05976-x","mag":"3158403050"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-021-05976-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-021-05976-x","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/11491/7271","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083237962","display_name":"Ahmet Kara","orcid":"https://orcid.org/0000-0002-1590-0023"},"institutions":[{"id":"https://openalex.org/I2799360972","display_name":"Hitit \u00dcniversitesi","ror":"https://ror.org/01x8m3269","country_code":"TR","type":"education","lineage":["https://openalex.org/I2799360972"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ahmet Kara","raw_affiliation_strings":["Department of Industrial Engineering, Hitit University, \u00c7orum, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-1590-0023","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Hitit University, \u00c7orum, Turkey","institution_ids":["https://openalex.org/I2799360972"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083237962"],"corresponding_institution_ids":["https://openalex.org/I2799360972"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":5.113,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.95951856,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"33","issue":"20","first_page":"13525","last_page":"13538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/prognostics","display_name":"Prognostics","score":0.9061015844345093},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7979157567024231},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.7370781302452087},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6869221925735474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6745328307151794},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.603995680809021},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5405884981155396},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5075398683547974},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.45254987478256226},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.43453115224838257},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24938708543777466}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9061015844345093},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979157567024231},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.7370781302452087},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6869221925735474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6745328307151794},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.603995680809021},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5405884981155396},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5075398683547974},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.45254987478256226},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.43453115224838257},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24938708543777466},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00521-021-05976-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-021-05976-x","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","raw_type":"journal-article"},{"id":"pmh:oai:earsiv.hitit.edu.tr:11491/7271","is_oa":true,"landing_page_url":"https://hdl.handle.net/11491/7271","pdf_url":null,"source":{"id":"https://openalex.org/S7407055343","display_name":"Hitit University Institutional Repository","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:earsiv.hitit.edu.tr:11491/7271","is_oa":true,"landing_page_url":"https://hdl.handle.net/11491/7271","pdf_url":null,"source":{"id":"https://openalex.org/S7407055343","display_name":"Hitit University Institutional Repository","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1628954589","https://openalex.org/W2014685668","https://openalex.org/W2022621390","https://openalex.org/W2064175677","https://openalex.org/W2075143718","https://openalex.org/W2115233498","https://openalex.org/W2165344987","https://openalex.org/W2544905596","https://openalex.org/W2573137292","https://openalex.org/W2790625295","https://openalex.org/W2791384746","https://openalex.org/W2792573670","https://openalex.org/W2808622270","https://openalex.org/W2894821558","https://openalex.org/W2902700103","https://openalex.org/W2908441554","https://openalex.org/W2932010661","https://openalex.org/W2947621394","https://openalex.org/W2955134049","https://openalex.org/W2969529392","https://openalex.org/W2969546126","https://openalex.org/W2972137370","https://openalex.org/W2972641997","https://openalex.org/W2979732971","https://openalex.org/W2980011983","https://openalex.org/W2998196611","https://openalex.org/W2998227980","https://openalex.org/W3009186748","https://openalex.org/W3011952957","https://openalex.org/W3012040475","https://openalex.org/W3013372615","https://openalex.org/W3013836129","https://openalex.org/W3016665419","https://openalex.org/W3018344542","https://openalex.org/W3024946300","https://openalex.org/W3033088344","https://openalex.org/W3036954106","https://openalex.org/W3042713179","https://openalex.org/W3044911604","https://openalex.org/W3089341989","https://openalex.org/W3092589772"],"related_works":["https://openalex.org/W2310476526","https://openalex.org/W4206951940","https://openalex.org/W4293868382","https://openalex.org/W4382602594","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":21},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-04T09:04:59.091469","created_date":"2025-10-10T00:00:00"}
