{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,11]],"date-time":"2026-01-11T14:23:43Z","timestamp":1768141423268,"version":"3.49.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1109\/gcwkshps52748.2021.9682101","type":"proceedings-article","created":{"date-parts":[[2022,1,24]],"date-time":"2022-01-24T16:06:05Z","timestamp":1643040365000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["Evaluating the practical limitations of TinyML: an experimental approach"],"prefix":"10.1109","author":[{"given":"Giovanni","family":"Delnevo","sequence":"first","affiliation":[]},{"given":"Catia","family":"Prandi","sequence":"additional","affiliation":[]},{"given":"Silvia","family":"Mirri","sequence":"additional","affiliation":[]},{"given":"Pietro","family":"Manzoni","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISS1.2017.8389428"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3399715.3399914"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2017.09.002"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/MIE.2017.2649104"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/s16111884"},{"key":"ref15","article-title":"Tensorflow lite micro: Embedded machine learning on tinyml systems","author":"david","year":"2020"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3410992.3411014"},{"key":"ref17","year":"0","journal-title":"The openNap"},{"key":"ref18","author":"dennis","year":"0","journal-title":"EdgeML Machine Learning for resource-constrained edge devices"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3410992.3411005"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/VLSI-DAT52063.2021.9427352"},{"key":"ref3","article-title":"Micronets: Neural network architectures for deploying tinyml applications on commodity microcontrollers","volume":"3","author":"banbury","year":"2021","journal-title":"Proceedings of Machine Learning and Systems"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3067026"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPS-ISA48467.2019.00037"},{"key":"ref8","article-title":"Study on frugal innovation and reengineering of traditional techniques","author":"kroll","year":"2015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MCAS.2020.3005467"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3410670.3410857"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.3390\/su8101034"},{"key":"ref1","author":"warden","year":"2019","journal-title":"Tinyml Machine Learning with tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers"},{"key":"ref20","article-title":"Mlperf tiny bench-mark","author":"banbury","year":"2021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/WF-IoT51360.2021.9595024"},{"key":"ref21","article-title":"Exploring coremark a benchmark maximizing simplicity and efficacy","author":"gal-on","year":"2012","journal-title":"The Embedded Microprocessor Benchmark Consortium"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/widm.1301"},{"key":"ref23","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"pedregosa","year":"2011","journal-title":"The Journal of Machine Learning Research"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2020.07.007"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2010.08.011"}],"event":{"name":"2021 IEEE Globecom Workshops (GC Wkshps)","location":"Madrid, Spain","start":{"date-parts":[[2021,12,7]]},"end":{"date-parts":[[2021,12,11]]}},"container-title":["2021 IEEE Globecom Workshops (GC Wkshps)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9681915\/9681831\/09682101.pdf?arnumber=9682101","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:57:52Z","timestamp":1652187472000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9682101\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/gcwkshps52748.2021.9682101","relation":{},"subject":[],"published":{"date-parts":[[2021,12]]}}}