{"id":"https://openalex.org/W7224112573","doi":"https://doi.org/10.66279/br8wb683","title":"Designing Embedded Intelligence through Co-Design Substrates Optimization and System Assurance","display_name":"Designing Embedded Intelligence through Co-Design Substrates Optimization and System Assurance","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224112573","doi":"https://doi.org/10.66279/br8wb683"},"language":"en","primary_location":{"id":"doi:10.66279/br8wb683","doi":"https://doi.org/10.66279/br8wb683","is_oa":true,"landing_page_url":"https://doi.org/10.66279/br8wb683","pdf_url":"https://pub.scientificirg.com/index.php/ESIT/article/download/614/96","source":{"id":"https://openalex.org/S7407057476","display_name":"Engineering Systems and Intelligent Technologies (ESIT)","issn_l":"3071-253X","issn":["3071-253X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Systems and Intelligent Technologies (ESIT)","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://pub.scientificirg.com/index.php/ESIT/article/download/614/96","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5092299906","display_name":"Ola Farid","orcid":"https://orcid.org/0009-0008-4285-0464","observed_orcids":["https://orcid.org/0009-0008-4285-0464"]},"institutions":[{"id":"https://openalex.org/I113643904","display_name":"Beni-Suef University","ror":"https://ror.org/05pn4yv70","country_code":"EG","type":"education","lineage":["https://openalex.org/I113643904"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Ola Farid","raw_affiliation_strings":["Beni-Suef University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beni-Suef University","institution_ids":["https://openalex.org/I113643904"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5092299906"],"corresponding_institution_ids":["https://openalex.org/I113643904"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.89354024,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":"2","first_page":"18","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9398999810218811,"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"}},"topics":[{"id":"https://openalex.org/T10904","display_name":"Embedded Systems Design Techniques","score":0.9398999810218811,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.04540000110864639,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10933","display_name":"Real-Time Systems Scheduling","score":0.003599999938160181,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedded-intelligence","display_name":"embedded intelligence","score":0.9990000128746033},{"id":"https://openalex.org/keywords/hardware-software-co-design","display_name":"hardware-software co-design","score":0.9670000076293945},{"id":"https://openalex.org/keywords/computational-substrate","display_name":"computational substrate","score":0.8510000109672546},{"id":"https://openalex.org/keywords/model-optimization","display_name":"model optimization","score":0.5130000114440918},{"id":"https://openalex.org/keywords/hardware-mapping","display_name":"hardware mapping","score":0.7170000076293945},{"id":"https://openalex.org/keywords/system-assurance","display_name":"system assurance","score":0.5730000138282776},{"id":"https://openalex.org/keywords/on-device-learning","display_name":"on-device learning","score":0.7860000133514404},{"id":"https://openalex.org/keywords/edge-intelligence","display_name":"edge AI","score":0.9300000071525574},{"id":"https://openalex.org/keywords/industrial-automation","display_name":"industrial automation","score":0.6119999885559082},{"id":"https://openalex.org/keywords/automotive-electronics","display_name":"automotive electronics","score":0.9990000128746033},{"id":"https://openalex.org/keywords/healthcare-monitoring","display_name":"healthcare monitoring","score":0.9940000176429749},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":1.0},{"id":"https://openalex.org/keywords/timing-constraints","display_name":"timing constraints","score":0.6700000166893005},{"id":"https://openalex.org/keywords/energy-efficiency","display_name":"energy efficiency","score":0.8169999718666077},{"id":"https://openalex.org/keywords/benchmarking","display_name":"benchmarking","score":0.527999997138977},{"id":"https://openalex.org/keywords/concept-drift","display_name":"concept drift","score":0.9660000205039978},{"id":"https://openalex.org/keywords/fpga","display_name":"FPGA","score":0.8820000290870667}],"concepts":[{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.7394000291824341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6194000244140625},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5264000296592712},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44690001010894775},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4456999897956848},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C526921623","wikidata":"https://www.wikidata.org/wiki/Q190117","display_name":"Automotive industry","level":2,"score":0.43130001425743103},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.3822999894618988},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3517000079154968},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.3467000126838684},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.3292999863624573},{"id":"https://openalex.org/C62913178","wikidata":"https://www.wikidata.org/wiki/Q7554361","display_name":"Software security assurance","level":4,"score":0.326200008392334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31279999017715454},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.303600013256073},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.28519999980926514},{"id":"https://openalex.org/C81293917","wikidata":"https://www.wikidata.org/wiki/Q4189534","display_name":"System deployment","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.2637999951839447},{"id":"https://openalex.org/C149091818","wikidata":"https://www.wikidata.org/wiki/Q2429814","display_name":"Software system","level":3,"score":0.26339998841285706},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.260699987411499},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2563999891281128},{"id":"https://openalex.org/C106436119","wikidata":"https://www.wikidata.org/wiki/Q836575","display_name":"Quality assurance","level":3,"score":0.2522999942302704},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.25209999084472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.66279/br8wb683","doi":"https://doi.org/10.66279/br8wb683","is_oa":true,"landing_page_url":"https://doi.org/10.66279/br8wb683","pdf_url":"https://pub.scientificirg.com/index.php/ESIT/article/download/614/96","source":{"id":"https://openalex.org/S7407057476","display_name":"Engineering Systems and Intelligent Technologies (ESIT)","issn_l":"3071-253X","issn":["3071-253X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Systems and Intelligent Technologies (ESIT)","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.66279/br8wb683","doi":"https://doi.org/10.66279/br8wb683","is_oa":true,"landing_page_url":"https://doi.org/10.66279/br8wb683","pdf_url":"https://pub.scientificirg.com/index.php/ESIT/article/download/614/96","source":{"id":"https://openalex.org/S7407057476","display_name":"Engineering Systems and Intelligent Technologies (ESIT)","issn_l":"3071-253X","issn":["3071-253X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Engineering Systems and Intelligent Technologies (ESIT)","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.7207000255584717}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224112573.pdf","grobid_xml":"https://content.openalex.org/works/W7224112573.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7204496974","https://openalex.org/W1958125002","https://openalex.org/W2981674281","https://openalex.org/W2539413459","https://openalex.org/W2888894575","https://openalex.org/W2139371379","https://openalex.org/W7024611318","https://openalex.org/W2076546756","https://openalex.org/W4377043085","https://openalex.org/W2509972717"],"abstract_inverted_index":{"Embedded":[0],"intelligence":[1,76],"places":[2],"sensing,":[3],"inference,":[4],"adaptation,":[5],"and":[6,18,31,41,44,53,60,82,87,104,151,186,199,213,232,240],"decision":[7],"making":[8],"inside":[9],"physical":[10],"systems":[11],"limited":[12],"by":[13],"energy,":[14,102],"memory,":[15],"latency,":[16],"cost,":[17],"reliability.":[19],"This":[20],"narrative":[21],"review":[22,73],"examines":[23],"the":[24,38,54,138,145,167,224],"field":[25],"along":[26],"four":[27,70],"connected":[28],"axes:":[29],"hardware":[30,99],"software":[32],"co-design,":[33],"computational":[34],"substrates,":[35],"optimization":[36],"at":[37,127,133],"model,":[39],"mapping,":[40,100],"system":[42],"levels,":[43],"applications":[45],"in":[46,95,142,166,223],"industrial":[47],"automation,":[48],"automotive":[49],"electronics,":[50],"healthcare":[51],"monitoring,":[52],"Internet":[55],"of":[56,137,144,174,178,209],"Things.":[57],"Timing,":[58],"safety,":[59],"security":[61,177],"are":[62,160,219,228,234,242],"treated":[63],"as":[64,91,221,230],"requirements":[65],"that":[66,164],"cut":[67],"across":[68],"all":[69],"axes.":[71],"The":[72,205,237],"separates":[74],"embedded":[75],"from":[77,83,162],"constrained":[78],"on-device":[79],"machine":[80],"learning":[81],"edge":[84],"artificial":[85],"intelligence,":[86],"it":[88],"frames":[89],"deployment":[90,184],"a":[92,115,125,131,196],"cross-layer":[93],"problem":[94],"which":[96],"model":[97],"quality,":[98],"timing,":[101],"security,":[103],"adaptation":[105],"constrain":[106],"one":[107,113,119,128,143],"another.":[108,134],"Two":[109],"literature-based":[110],"case":[111],"studies,":[112,212],"on":[114,120],"field-programmable":[116],"gate":[117],"arrayand":[118],"distributed":[121,179],"microcontrollers,":[122],"show":[123],"how":[124],"gain":[126],"layer":[129],"produces":[130],"cost":[132],"A":[135],"recomputation":[136],"efficiency":[139],"ratios":[140],"reported":[141,220],"studies":[146],"shows":[147],"why":[148],"measurement":[149],"boundaries":[150],"metric":[152],"definitions":[153],"must":[154],"be":[155],"declared.":[156],"Six":[157],"research":[158,197],"priorities":[159],"derived":[161],"limitations":[163],"recur":[165],"reviewed":[168],"sources:":[169],"lifecycle":[170],"energy":[171],"accounting,":[172],"assurance":[173],"learned":[175],"components,":[176],"deployments,":[180],"reproducible":[181],"benchmarking,":[182],"portable":[183],"toolchains,":[185],"concept":[187],"drift":[188],"after":[189],"deployment.":[190],"Each":[191],"priority":[192],"is":[193],"paired":[194],"with":[195],"direction":[198],"evaluation":[200],"criteria":[201,241],"for":[202],"later":[203],"studies.":[204],"evidence":[206],"consists":[207],"mainly":[208],"surveys,":[210],"analytical":[211],"laboratory":[214],"implementations,":[215],"so":[216],"quantitative":[217],"values":[218,227],"stated":[222],"sources,":[225],"recomputed":[226],"labeled":[229],"such,":[231],"approaches":[233],"not":[235],"ranked.":[236],"proposed":[238],"formulations":[239],"conceptual.":[243]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2026-10-29T00:00:00"}