المؤلفون: Safouane El Ghazouali, Youssef Mhirit, Ali Oukhrid, Umberto Michelucci, Hichem Nouira

المصدر: Sensors, Vol 24, Iss 9, p 2889 (2024)

مصطلحات موضوعية: RGB-D, 3D reconstruction, point-cloud, SAM, 3D object detection, 3D localization, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/24/9/2889; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/f9699288869e4bd9a624da0422688c49

المؤلفون: Umberto Michelucci, Francesca Venturini

المصدر: Machine Learning and Knowledge Extraction, Vol 3, Iss 2, Pp 357-373 (2021)

مصطلحات موضوعية: neural networks, machine learning, bootstrap, resampling, algorithms, Computer engineering. Computer hardware, TK7885-7895

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2504-4990/3/2/18; https://doaj.org/toc/2504-4990

URL الوصول: https://doaj.org/article/9b0889d27b544d13b7a742e365d16982

المؤلفون: Fabio, Loddo, Piga, Dario, Umberto, Michelucci, Safouane, El Ghazouali

مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing

URL الوصول: http://arxiv.org/abs/2402.13918

المؤلفون: Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini, Marco A. Deriu

المصدر: Algorithms, Vol 14, Iss 11, p 301 (2021)

مصطلحات موضوعية: machine learning, intrinsic limits, ROC curve, binary classification, area under the curve, Naïve Bayes classifier, Industrial engineering. Management engineering, T55.4-60.8, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1999-4893/14/11/301; https://doaj.org/toc/1999-4893

URL الوصول: https://doaj.org/article/add5c84becaa4f53811e8bb6d2edb647

المؤلفون: Francesca Venturini, Michela Sperti, Umberto Michelucci, Ivo Herzig, Michael Baumgartner, Josep Palau Caballero, Arturo Jimenez, Marco Agostino Deriu

المصدر: Foods, Vol 10, Iss 5, p 1010 (2021)

مصطلحات موضوعية: fluorescence spectroscopy, fluorescence sensor, olive oil, machine learning, artificial neural networks, quality control, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2304-8158/10/5/1010; https://doaj.org/toc/2304-8158

URL الوصول: https://doaj.org/article/5354cb7f08844fa597941941e74f8c4d

المؤلفون: Francesca Venturini, Umberto Michelucci, Michael Baumgartner

المصدر: Sensors, Vol 20, Iss 17, p 4886 (2020)

مصطلحات موضوعية: artificial intelligence, neural network, machine learning, oxygen sensor, luminescence, optical sensor, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/20/17/4886; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/f027bb16ddcb4f049d45ad37699d974e

المؤلفون: Umberto Michelucci, Francesca Venturini

المصدر: Applied Sciences, Vol 9, Iss 22, p 4748 (2019)

مصطلحات موضوعية: multi-task learning, non-linear regression, neural networks, luminescence, luminescence quenching, oxygen sensing, phase fluorimetry, temperature sensing, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/9/22/4748; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/6774343e42a24e9c9899270131d03699

المؤلفون: Umberto Michelucci, Michael Baumgartner, Francesca Venturini

المصدر: Sensors, Vol 19, Iss 4, p 777 (2019)

مصطلحات موضوعية: artificial intelligence, neural network, machine learning, oxygen sensor, luminescence, optical sensor, luminescence quenching, phase fluorimetry, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/19/4/777; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/d3776fc3fa654728b442d5159e7d0998

المؤلفون: Francesca Venturini, Umberto Michelucci

المصدر: Proceedings, Vol 1, Iss 8, p 833 (2017)

مصطلحات موضوعية: n/a, General Works

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2504-3900/1/8/833; https://doaj.org/toc/2504-3900

URL الوصول: https://doaj.org/article/3932da1393a5467f8720f979bd6ea616

المؤلفون: Umberto Michelucci, Francesca Venturini

المصدر: Sensors, Vol 17, Iss 10, p 2281 (2017)

مصطلحات موضوعية: interference, interference cancellation, noise reduction, digital filtering, spectroscopy, sensors, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/17/10/2281; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/d72bcd161a2f4629830ea0838543153f