Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Majjed Al-Qatf"'
Autor:
Saeed Hamood Alsamhi, Ammar Hawbani, Santosh Kumar, Mohan Timilsina, Majjed Al-Qatf, Rafiqul Haque, Farhan M. A. Nashwan, Liang Zhao, Edward Curry
Publikováno v:
IEEE Access, Vol 12, Pp 112637-112658 (2024)
Recently, there has been more interest in Decentralized Data-Sharing (DDS) because of the introduction of Dataspace 4.0. DDS is becoming increasingly popular as a safe, open, and effective way for many parties to data-sharing. Unlike conventional, ce
Externí odkaz:
https://doaj.org/article/818a7ce77950458284c4ae827709a58f
Publikováno v:
IEEE Access, Vol 6, Pp 52843-52856 (2018)
Network intrusion detection systems (NIDSs) provide a better solution to network security than other traditional network defense technologies, such as firewall systems. The success of NIDS is highly dependent on the performance of the algorithms and
Externí odkaz:
https://doaj.org/article/0e01ef0a291247c5b92720c428f6a2c5
Publikováno v:
ACM Transactions on Multimedia Computing, Communications, and Applications. 19:1-24
Image captioning is a promising task that attracted researchers in the last few years. Existing image captioning models are primarily trained to generate one caption per image. However, an image may contain rich contents, and one caption cannot expre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f31d0fcd409fd33a8342c00bbc77d2b0
https://doi.org/10.1145/3576927
https://doi.org/10.1145/3576927
Publikováno v:
IEEE Transactions on Multimedia. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::388b665ee0405c27e08f1600ab742f57
https://doi.org/10.1109/tmm.2022.3202690
https://doi.org/10.1109/tmm.2022.3202690
Publikováno v:
Applied Intelligence. 51:5132-5145
Probabilistic matrix factorization (PMF) is the most popular method among low-rank matrix approximation approaches that address the sparsity problem in collaborative filtering for recommender systems. PMF depends on the classical maximum a posteriori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cc9282cf659da2013006ec15ca7dd5e
https://doi.org/10.1007/s10489-020-02049-9
https://doi.org/10.1007/s10489-020-02049-9
Publikováno v:
IEEE Access, Vol 6, Pp 52843-52856 (2018)
Network intrusion detection systems (NIDSs) provide a better solution to network security than other traditional network defense technologies, such as firewall systems. The success of NIDS is highly dependent on the performance of the algorithms and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2c1ed0831b02506823b84b56ff2cca6
https://ieeexplore.ieee.org/document/8463474/
https://ieeexplore.ieee.org/document/8463474/
Publikováno v:
ICSCA
Deep neural network algorithms have shown promising performance for many tasks in computer vision field. Several neural network-based methods have been proposed to recognize group activities from video sequences. However, there are still several chal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6286f123ee7dc83fff053fb04346097
https://doi.org/10.1145/3316615.3316722
https://doi.org/10.1145/3316615.3316722