{"id":"https://openalex.org/W2942922575","doi":"https://doi.org/10.1145/3297280.3297338","title":"Energy-demand estimation of embedded devices using deep artificial neural networks","display_name":"Energy-demand estimation of embedded devices using deep artificial neural networks","publication_year":2019,"publication_date":"2019-04-08","ids":{"openalex":"https://openalex.org/W2942922575","doi":"https://doi.org/10.1145/3297280.3297338","mag":"2942922575"},"language":"en","primary_location":{"id":"doi:10.1145/3297280.3297338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","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/A5032095160","display_name":"Timo H\u00f6nig","orcid":"https://orcid.org/0000-0002-1818-0869"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Timo H\u00f6nig","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042562784","display_name":"Benedict Herzog","orcid":"https://orcid.org/0000-0001-8725-3454"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benedict Herzog","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)","institution_ids":["https://openalex.org/I181369854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078254306","display_name":"Wolfgang Schr\u00f6der\u2010Preikschat","orcid":"https://orcid.org/0000-0002-5216-2103"},"institutions":[{"id":"https://openalex.org/I181369854","display_name":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg","ror":"https://ror.org/00f7hpc57","country_code":"DE","type":"education","lineage":["https://openalex.org/I181369854"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Schr\u00f6der-Preikschat","raw_affiliation_strings":["Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)"],"affiliations":[{"raw_affiliation_string":"Friedrich-Alexander-Universit\u00e4t Erlangen-N\u00fcrnberg (FAU)","institution_ids":["https://openalex.org/I181369854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032095160"],"corresponding_institution_ids":["https://openalex.org/I181369854"],"apc_list":null,"apc_paid":null,"fwci":0.7154,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.70887545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"617","last_page":"624"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12238","display_name":"Green IT and Sustainability","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12238","display_name":"Green IT and Sustainability","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6858615279197693},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.6385791301727295},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5959420204162598},{"id":"https://openalex.org/keywords/pace","display_name":"Pace","score":0.5923638343811035},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.585108757019043},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.5509893894195557},{"id":"https://openalex.org/keywords/embedded-software","display_name":"Embedded software","score":0.5102522373199463},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.49892640113830566},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21154069900512695},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.18249693512916565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6858615279197693},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.6385791301727295},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5959420204162598},{"id":"https://openalex.org/C2777526511","wikidata":"https://www.wikidata.org/wiki/Q691543","display_name":"Pace","level":2,"score":0.5923638343811035},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.585108757019043},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.5509893894195557},{"id":"https://openalex.org/C154488198","wikidata":"https://www.wikidata.org/wiki/Q1335007","display_name":"Embedded software","level":3,"score":0.5102522373199463},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.49892640113830566},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21154069900512695},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.18249693512916565},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3297280.3297338","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3297280.3297338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1963661773","https://openalex.org/W1971879981","https://openalex.org/W1992876548","https://openalex.org/W1993158854","https://openalex.org/W2012602696","https://openalex.org/W2031867463","https://openalex.org/W2032952916","https://openalex.org/W2033010077","https://openalex.org/W2036693362","https://openalex.org/W2038509324","https://openalex.org/W2049577911","https://openalex.org/W2072176619","https://openalex.org/W2110936068","https://openalex.org/W2127238858","https://openalex.org/W2134807578","https://openalex.org/W2138625816","https://openalex.org/W2140904634","https://openalex.org/W2149472591","https://openalex.org/W2160815625","https://openalex.org/W2316607014","https://openalex.org/W2461158874","https://openalex.org/W2615865818","https://openalex.org/W3198350258","https://openalex.org/W4230739960"],"related_works":["https://openalex.org/W1862240612","https://openalex.org/W2046928991","https://openalex.org/W2160834655","https://openalex.org/W2401141119","https://openalex.org/W2381462255","https://openalex.org/W2375248064","https://openalex.org/W1605353610","https://openalex.org/W2162925013","https://openalex.org/W2348063302","https://openalex.org/W2901888634"],"abstract_inverted_index":{"The":[0],"need":[1],"for":[2,19,53],"high":[3],"performance":[4,29],"in":[5],"embedded":[6,44],"devices":[7],"grows":[8],"at":[9],"a":[10,24,40],"breathtaking":[11],"pace.":[12],"Embedded":[13],"processors":[14],"that":[15],"satisfy":[16],"the":[17,27,70],"hunger":[18],"superlative":[20],"processing":[21],"power":[22],"share":[23],"common":[25],"issue:":[26],"increasing":[28],"leads":[30],"to":[31,43,49,66,69],"growing":[32],"energy":[33,38,59],"demands":[34],"during":[35],"operation.":[36],"As":[37],"remains":[39],"limited":[41],"resource":[42],"devices,":[45],"it":[46],"is":[47],"critical":[48],"optimise":[50],"software":[51,57],"components":[52],"low":[54],"power.":[55],"Low-power":[56],"needs":[58],"models":[60],"which,":[61],"however,":[62],"are":[63],"increasingly":[64],"difficult":[65],"create":[67],"as":[68],"complexity":[71],"of":[72],"today's":[73],"devices.":[74]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
