Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Omar Nibouche"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 12, Iss 1, Pp 1-20 (2023)
Abstract IoT is one of the fastest-growing technologies and it is estimated that more than a billion devices would be utilised across the globe by the end of 2030. To maximise the capability of these connected entities, trust and reputation among IoT
Externí odkaz:
https://doaj.org/article/747c9cf6e6ee40e4b3c65eba11fd35a9
Publikováno v:
Journal of Consumer Protection and Food Safety.
Machine learning has been extensively used for analyzing spectral data in food quality management. However, collecting high-quality spectral data from miniature spectrometers outside the laboratory is challenging due to various factors such as distor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f84f1c246ecb40ab1936f48dd15d5881
https://doi.org/10.1007/s00003-023-01439-8
https://doi.org/10.1007/s00003-023-01439-8
Autor:
Muhammad Ahmad, Asad Khan, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Ahmed Sohaib, Omar Nibouche
Publikováno v:
Remote Sensing, Vol 11, Iss 9, p 1136 (2019)
Acquisition of labeled data for supervised Hyperspectral Image (HSI) classification is expensive in terms of both time and costs. Moreover, manual selection and labeling are often subjective and tend to induce redundancy into the classifier. Active l
Externí odkaz:
https://doaj.org/article/c85139428eba49fa9b2a243f66bd644e
Publikováno v:
Sensors, Vol 18, Iss 6, p 1708 (2018)
Food fraud, the sale of goods that have in some way been mislabelled or tampered with, is an increasing concern, with a number of high profile documented incidents in recent years. These recent incidents and their scope show that there are gaps in th
Externí odkaz:
https://doaj.org/article/362443ef4b1d4cfb90fe0df2435c570e
Publikováno v:
ICC
Number theoretic transforms, which operate in the ring or field of integers and use modular arithmetic operations, can perform the operations of convolution and correlation efficiently and without round off errors. Thus, they are very useful for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de3d3e31136fbcefa205efebbbbde4b3
https://doi.org/10.1109/icc.2006.255302
https://doi.org/10.1109/icc.2006.255302
Publikováno v:
Sensors (14248220). Feb2023, Vol. 23 Issue 3, p1179. 149p.
Publikováno v:
Journal fuer Verbraucherschutz und Lebensmittelsicherheit; Dec2023, Vol. 18 Issue 4, p415-431, 17p
Publikováno v:
Journal of Cloud Computing (2192-113X); 3/22/2023, Vol. 12 Issue 1, p1-20, 20p
Publikováno v:
Applied Sciences (2076-3417); Feb2021, Vol. 11 Issue 3, p1108, 230p
Publikováno v:
Plasma Sources Science & Technology; Aug2020, Vol. 29 Issue 8, p1-10, 10p