{"id":"https://openalex.org/W4417169400","doi":"https://doi.org/10.1109/icecs66544.2025.11270518","title":"Optimized TinyML Models based on Efficient Knowledge Distillation for Textures Classification","display_name":"Optimized TinyML Models based on Efficient Knowledge Distillation for Textures Classification","publication_year":2025,"publication_date":"2025-11-17","ids":{"openalex":"https://openalex.org/W4417169400","doi":"https://doi.org/10.1109/icecs66544.2025.11270518"},"language":null,"primary_location":{"id":"doi:10.1109/icecs66544.2025.11270518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs66544.2025.11270518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 32nd IEEE International Conference on Electronics, Circuits and Systems (ICECS)","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/A5116546800","display_name":"Sara Awada","orcid":null},"institutions":[{"id":"https://openalex.org/I911468752","display_name":"Lebanese International University","ror":"https://ror.org/034agrd14","country_code":"LB","type":"education","lineage":["https://openalex.org/I911468752"]}],"countries":["LB"],"is_corresponding":true,"raw_author_name":"Sara Awada","raw_affiliation_strings":["Lebanese International University,Department of Computer and Communication Engineering,Lebanon"],"affiliations":[{"raw_affiliation_string":"Lebanese International University,Department of Computer and Communication Engineering,Lebanon","institution_ids":["https://openalex.org/I911468752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081097829","display_name":"Hiba Al Youssef","orcid":null},"institutions":[{"id":"https://openalex.org/I911468752","display_name":"Lebanese International University","ror":"https://ror.org/034agrd14","country_code":"LB","type":"education","lineage":["https://openalex.org/I911468752"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Hiba Al Youssef","raw_affiliation_strings":["Lebanese International University,Department of Computer and Communication Engineering,Lebanon"],"affiliations":[{"raw_affiliation_string":"Lebanese International University,Department of Computer and Communication Engineering,Lebanon","institution_ids":["https://openalex.org/I911468752"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073471206","display_name":"Zeinab Hijazi","orcid":null},"institutions":[{"id":"https://openalex.org/I911468752","display_name":"Lebanese International University","ror":"https://ror.org/034agrd14","country_code":"LB","type":"education","lineage":["https://openalex.org/I911468752"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Zeinab Hijazi","raw_affiliation_strings":["Lebanese International University,Department of Computer and Communication Engineering,Lebanon"],"affiliations":[{"raw_affiliation_string":"Lebanese International University,Department of Computer and Communication Engineering,Lebanon","institution_ids":["https://openalex.org/I911468752"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056208921","display_name":"Al\u00ec Ibrahim","orcid":"https://orcid.org/0000-0001-7872-0794"},"institutions":[{"id":"https://openalex.org/I911468752","display_name":"Lebanese International University","ror":"https://ror.org/034agrd14","country_code":"LB","type":"education","lineage":["https://openalex.org/I911468752"]}],"countries":["LB"],"is_corresponding":false,"raw_author_name":"Ali Ibrahim","raw_affiliation_strings":["Lebanese International University,Department of Computer and Communication Engineering,Lebanon"],"affiliations":[{"raw_affiliation_string":"Lebanese International University,Department of Computer and Communication Engineering,Lebanon","institution_ids":["https://openalex.org/I911468752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5116546800"],"corresponding_institution_ids":["https://openalex.org/I911468752"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40995491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.8977000117301941,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.8977000117301941,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10914","display_name":"Tactile and Sensory Interactions","score":0.01489999983459711,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12611","display_name":"Neural Networks and Reservoir Computing","score":0.011900000274181366,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/inference","display_name":"Inference","score":0.5475999712944031},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.524399995803833},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5203999876976013},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5042999982833862},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4851999878883362},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4788999855518341},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3718999922275543}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7300000190734863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5746999979019165},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5475999712944031},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.524399995803833},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5203999876976013},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5070000290870667},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5042999982833862},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4851999878883362},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4788999855518341},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3718999922275543},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.36570000648498535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33899998664855957},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.32739999890327454},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3124000132083893},{"id":"https://openalex.org/C2777526259","wikidata":"https://www.wikidata.org/wiki/Q221836","display_name":"Flash (photography)","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.26739999651908875},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.26429998874664307},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.257099986076355},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecs66544.2025.11270518","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecs66544.2025.11270518","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 32nd IEEE International Conference on Electronics, Circuits and Systems (ICECS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W3186120077","https://openalex.org/W4405965591","https://openalex.org/W4411552458"],"related_works":[],"abstract_inverted_index":{"Deploying":[0],"neural":[1],"networks":[2],"on":[3,29,48],"embedded":[4,107],"tactile":[5],"sensing":[6],"systems":[7],"is":[8],"constrained":[9],"by":[10],"limited":[11],"computational":[12],"and":[13,70,95],"memory":[14,71],"resources.":[15],"This":[16],"work":[17],"presents":[18],"a":[19,43,49,54],"Knowledge":[20],"Distillation":[21],"(KD)\u2013based":[22],"optimization":[23],"framework":[24],"to":[25,42],"improve":[26],"deployment":[27],"efficiency":[28],"such":[30],"platforms.":[31],"A":[32],"pretrained":[33],"baseline":[34],"model":[35],"serves":[36],"as":[37],"the":[38,59,63,79,102],"teacher,":[39],"transferring":[40],"knowledge":[41],"lightweight":[44],"student":[45,61,81],"model.":[46],"Experiments":[47],"texture":[50],"dataset":[51],"collected":[52],"with":[53,74,86],"multisensory":[55],"glove":[56],"show":[57],"that":[58],"KD":[60,80],"preserves":[62],"teacher\u2019s":[64],"accuracy":[65,85],"while":[66],"substantially":[67],"reducing":[68],"computation":[69],"requirements.":[72],"Compared":[73],"an":[75],"optimized":[76],"teacher":[77],"variant,":[78],"achieves":[82],"slightly":[83],"lower":[84,88],"53%":[87],"inference":[89],"time,":[90],"79%":[91],"less":[92],"flash":[93],"usage,":[94],"90%":[96],"fewer":[97],"multiply\u2013accumulate":[98],"operations":[99],"(MACs),":[100],"demonstrating":[101],"framework\u2019s":[103],"effectiveness":[104],"for":[105],"real-time":[106],"deployment.":[108]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-09T00:00:00"}
