000130898 001__ 130898
000130898 005__ 20240201151019.0
000130898 0247_ $$2doi$$a10.3390/bios11100366
000130898 0248_ $$2sideral$$a126539
000130898 037__ $$aART-2021-126539
000130898 041__ $$aeng
000130898 100__ $$0(orcid)0000-0001-5709-1183$$aEnériz, D.$$uUniversidad de Zaragoza
000130898 245__ $$aAn FPGA-Based Machine Learning Tool for In-Situ Food Quality Tracking Using Sensor Fusion
000130898 260__ $$c2021
000130898 5060_ $$aAccess copy available to the general public$$fUnrestricted
000130898 5203_ $$aThe continuous development of more accurate and selective bio-and chemo-sensors has Abstract: The continuous development of more accurate and selective bio-and chemo-sensors has led led to a growing use of sensor arrays in different fields, such as health monitoring, cell culture anal-ysis, bio-signals processing, or food quality tracking. The analysis and information extraction from to a growing use of sensor arrays in different fields, such as health monitoring, cell culture analysis, bio-signals processing, or food quality tracking. The analysis and information extraction from the the amount of data provided by these sensor arrays is possible based on Machine Learning techniques applied to sensor fusion. However, most of these computing solutions are implemented on amount of data provided by these sensor arrays is possible based on Machine Learning techniques applied to sensor fusion. However, most of these computing solutions are implemented on costly costly and bulky computers, limiting its use in in-situ scenarios outside complex laboratory facili-ties. This work presents the application of machine learning techniques in food quality assessment and bulky computers, limiting its use in in-situ scenarios outside complex laboratory facilities. This work presents the application of machine learning techniques in food quality assessment using a using a single Field Programmable Gate Array (FPGA) chip. The characteristics of low-cost, low single Field Programmable Gate Array (FPGA) chip. The characteristics of low-cost, low power power consumption as well as low-size allow the application of the proposed solution even in space consumption as well as low-size allow the application of the proposed solution even in space constrained places, as in food manufacturing chains. As an example, the proposed system is tested constrained places, as in food manufacturing chains. As an example, the proposed system is tested on an e-nose developed for beef classification and microbial population prediction. on an e-nose developed for beef classification and microbial population prediction. © 2021 by the authors. distributed under the terms and con-ditions of the Creative Commons At-Licensee MDPI, Basel, Switzerland. This article is an open access article.
000130898 536__ $$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-106570RB-I00
000130898 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000130898 590__ $$a5.743$$b2021
000130898 591__ $$aCHEMISTRY, ANALYTICAL$$b14 / 87 = 0.161$$c2021$$dQ1$$eT1
000130898 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b8 / 64 = 0.125$$c2021$$dQ1$$eT1
000130898 591__ $$aNANOSCIENCE & NANOTECHNOLOGY$$b52 / 108 = 0.481$$c2021$$dQ2$$eT2
000130898 592__ $$a0.786$$b2021
000130898 593__ $$aMedicine (miscellaneous)$$c2021$$dQ2
000130898 593__ $$aClinical Biochemistry$$c2021$$dQ2
000130898 594__ $$a5.6$$b2021
000130898 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000130898 700__ $$0(orcid)0000-0002-5380-3013$$aMedrano, N.$$uUniversidad de Zaragoza
000130898 700__ $$0(orcid)0000-0003-2361-1077$$aCalvo, B.$$uUniversidad de Zaragoza
000130898 7102_ $$15008$$2250$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Electrónica
000130898 773__ $$g11, 10 (2021), 366 [16 pp.]$$tBiosensors$$x2079-6374
000130898 8564_ $$s5805868$$uhttps://zaguan.unizar.es/record/130898/files/texto_completo.pdf$$yVersión publicada
000130898 8564_ $$s2135281$$uhttps://zaguan.unizar.es/record/130898/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
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000130898 951__ $$a2024-02-01-14:39:47
000130898 980__ $$aARTICLE