{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T17:31:45Z","timestamp":1786210305648,"version":"3.56.0"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"15","license":[{"start":{"date-parts":[[2024,8,1]],"date-time":"2024-08-01T00:00:00Z","timestamp":1722470400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100016386","name":"Conselleria de Innovaci?n, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana","doi-asserted-by":"publisher","award":["CIDEXG\/2022\/13"],"award-info":[{"award-number":["CIDEXG\/2022\/13"]}],"id":[{"id":"10.13039\/501100016386","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci?n","doi-asserted-by":"publisher","award":["PRE2021-099284"],"award-info":[{"award-number":["PRE2021-099284"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci?n","doi-asserted-by":"publisher","award":["TED2021-129334B-I00"],"award-info":[{"award-number":["TED2021-129334B-I00"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2024,8,1]]},"DOI":"10.1109\/jiot.2024.3395335","type":"journal-article","created":{"date-parts":[[2024,4,30]],"date-time":"2024-04-30T19:55:54Z","timestamp":1714506954000},"page":"26203-26219","source":"Crossref","is-referenced-by-count":17,"title":["Optimizing Convolutions for Deep Learning Inference on ARM Cortex-M Processors"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8356-7616","authenticated-orcid":false,"given":"Antonio","family":"Maci\u00e1-Lillo","sequence":"first","affiliation":[{"name":"Department of Technology Information and Computation, Universitat d&#x2019;Alacant, San Vicente del Raspeig, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4642-7467","authenticated-orcid":false,"given":"Sergio","family":"Barrachina","sequence":"additional","affiliation":[{"name":"Department Computer Science and Engineering, Universitat Jaume I, Castell&#x00F3; de la Plana, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0452-3058","authenticated-orcid":false,"given":"Germ\u00e1n","family":"Fabregat","sequence":"additional","affiliation":[{"name":"Department Computer Science and Engineering, Universitat Jaume I, Castell&#x00F3; de la Plana, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9466-3398","authenticated-orcid":false,"given":"Manuel F.","family":"Dolz","sequence":"additional","affiliation":[{"name":"Department Computer Science and Engineering, Universitat Jaume I, Castell&#x00F3; de la Plana, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3390\/s22041414"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/electronics8111289"},{"key":"ref5","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref6","article-title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and less than 0.5 MB model size","author":"Iandola","year":"2016","journal-title":"arXiv:1602.07360"},{"key":"ref7","volume-title":"ARM Cortex-M Processor Series","year":"2021"},{"key":"ref8","article-title":"CMSIS-NN: Efficient neural network kernels for Arm Cortex-M CPUs","author":"Lai","year":"2018","journal-title":"arXiv:1801.06601"},{"key":"ref9","first-page":"1","article-title":"High performance convolutional neural networks for document processing","volume-title":"Proc. Int. Workshop Front. Handwriting Recognit.","author":"Chellapilla"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2022.05.009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.sysarc.2022.102806"},{"key":"ref12","volume-title":"ARM Cortex-M4 Processor Technical Reference Manual Revision r0p1","year":"2023"},{"key":"ref13","volume-title":"ARM Cortex-M7 Processor Technical Reference Manual Revision r1p2","year":"2023"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/PDP55904.2022.00023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-022-05003-3"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2019.00013"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-27440-4_41"},{"key":"ref18","article-title":"Deployment of energy-efficient deep learning models on cortex-M based microcontrollers using deep compression","author":"Deutel","year":"2022","journal-title":"arXiv:2205.10369"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.23919\/MIXDES49814.2020.9155741"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2020.2969775"},{"key":"ref21","first-page":"153","article-title":"Convolutional-recurrent neural networks on low-power wearable platforms for cardiac arrhythmia detection","volume-title":"Proc. 2nd IEEE Int. Conf. Artif. Intell. Circuits Syst. (AICAS)","author":"Faraone"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3331654"},{"key":"ref23","article-title":"Neural networks on microcontrollers: Saving memory at inference via operator reordering","author":"Liberis","year":"2019","journal-title":"arXiv:1910.05110"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3240765.3243473"},{"key":"ref25","first-page":"815","article-title":"MEC: memory-efficient convolution for deep neural network","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Cho"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3110827"},{"key":"ref27","volume-title":"Arduino Nano 33 BLE sense","year":"2023"},{"key":"ref28","volume-title":"nRF52840 product specification","year":"2023"},{"key":"ref29","volume-title":"STM32H747XI datasheet","year":"2023"},{"key":"ref30","volume-title":"Arduino Portenta H7 Lite","year":"2023"},{"issue":"5","key":"ref31","first-page":"488","article-title":"Comparing the two different generations of AMBA based protocols: AHB vs AXI","volume":"3","author":"Chhillar","year":"2014","journal-title":"Int. J. Sci. Res. (IJSR)"},{"key":"ref32","volume-title":"Comparing AMBA AHB to AXI Bus Using System Modeling","author":"Shankar","year":"2023"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2017.2761740"},{"key":"ref34","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2015","journal-title":"arXiv:1409.1556"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","article-title":"Visual wake words dataset","author":"Chowdhery","year":"2019","journal-title":"arXiv:1906.05721"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6488907\/10607832\/10513367.pdf?arnumber=10513367","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,27]],"date-time":"2025-01-27T19:02:21Z","timestamp":1738004541000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10513367\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,8,1]]},"references-count":36,"journal-issue":{"issue":"15"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2024.3395335","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,8,1]]}}}