Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Hala M. Ebeid"'
Publikováno v:
IEEE Access, Vol 9, Pp 52067-52078 (2021)
Convolutional Neural Networks (CNN) have become the core of modern machine learning approaches. In addition to its inspiring interior design idea, the success of CNN depends mainly on two factors, the first is the availability of training data and th
Externí odkaz:
https://doaj.org/article/8fc7f2790ee146baa616d3cf8ca8c1d7
Publikováno v:
International Journal of Image and Data Fusion. 13:244-261
Hyperspectral imaging (HSI) is a beneficial source of information for numerous civil and military applications, but high dimensionality and strong correlation limits HSI classification performance....
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a52c51229e0406b00b6a9ec5caf3a609
https://doi.org/10.1080/19479832.2021.1972047
https://doi.org/10.1080/19479832.2021.1972047
Publikováno v:
IEEE Access, Vol 9, Pp 52067-52078 (2021)
Convolutional Neural Networks (CNN) have become the core of modern machine learning approaches. In addition to its inspiring interior design idea, the success of CNN depends mainly on two factors, the first is the availability of training data and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b2c8bebfafd65200c13a71bd6d9a43e
https://ieeexplore.ieee.org/document/9389718/
https://ieeexplore.ieee.org/document/9389718/
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8032b0813117c2dc85bda13ef81d61e4
https://doi.org/10.1002/cpe.6785
https://doi.org/10.1002/cpe.6785
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811630705
The digital data nowadays is always in increase. This data may be secret data that should be kept and saved. Therefore, steganography algorithms are proposed to hide the important data text, image or video. This paper is proposing a steganography alg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c6c7f33a57fa0c664de264e8176635f
https://doi.org/10.1007/978-981-16-3071-2_15
https://doi.org/10.1007/978-981-16-3071-2_15
Publikováno v:
Pattern Analysis and Applications. 22:1537-1559
Palm and knuckle prints can be extracted from a hand using a low-cost camera in a contactless manner. This makes the process of palm and knuckle recognition fast and convenient and solves the hygiene issue for users. A number of challenges arise in s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a545db4676d8d8b62092866e9c804bda
https://doi.org/10.1007/s10044-019-00799-y
https://doi.org/10.1007/s10044-019-00799-y
Publikováno v:
Internet of Things—Applications and Future ISBN: 9789811530746
Hyperspectral Unmixing (HU), also known as spectral mixture analysis, is a challenging problem that decomposes a mixed spectrum into a collection of endmembers and their abundance fractions. In this paper, we extended the autoencoder network (Palsson
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5679e66cb72312c0521ee23943a9f91f
https://doi.org/10.1007/978-981-15-3075-3_17
https://doi.org/10.1007/978-981-15-3075-3_17
Publikováno v:
IET Biometrics. 8:150-158
Contactless palmprint is considered more user convenient than other biometrics due to its acquisition simplicity and less-private nature. Many challenges arise which affect the performance of common contact-based methods when applied to a contactless
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3792a9011019f170f8ab8fc601658667
https://doi.org/10.1049/iet-bmt.2018.5012
https://doi.org/10.1049/iet-bmt.2018.5012
Publikováno v:
2019 14th International Conference on Computer Engineering and Systems (ICCES).
Nowadays, object detection has acquired a great concentration either in ordinary images or satellite images. For satellite images, object detection is a challenging problem because objects have different scales and sparsity with very complicated back
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c4020b4dc7029ccb68361c3e74c880f
https://doi.org/10.1109/icces48960.2019.9068145
https://doi.org/10.1109/icces48960.2019.9068145
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030141172
AMLTA
AMLTA
In recent years, machine learning has achieved a breakthrough step due to re-branding of Convolutional Neural Networks (CNNs). Advancement in machine learning algorithms makes it easier to process big and information-rich images such as hyper-spectra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e5955906e73b90a2e25d105f5bcf7ee
https://doi.org/10.1007/978-3-030-14118-9_2
https://doi.org/10.1007/978-3-030-14118-9_2