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pro vyhledávání: '"Jebreel A"'
Autor:
Jebreel Al-Odat, Yousef Malkieh
Publikováno v:
دراسات: العلوم التربوية, Vol 47, Iss 1 (2020)
The study aims to identify the levels of intelligence in players of judo national team of Jordan. In addition, the study aims to identify the differences in the level of some types of multiple intelligences in the players depending on the variables o
Externí odkaz:
https://doaj.org/article/76e65eee83194c9a93415a71b9f27549
Autor:
Blanco-Justicia, Alberto, Jebreel, Najeeb, Manzanares, Benet, Sánchez, David, Domingo-Ferrer, Josep, Collell, Guillem, Tan, Kuan Eeik
The objective of digital forgetting is, given a model with undesirable knowledge or behavior, obtain a new model where the detected issues are no longer present. The motivations for forgetting include privacy protection, copyright protection, elimina
Externí odkaz:
http://arxiv.org/abs/2404.02062
Autor:
Jebreel Alarishee, Sara Alqahtani
Publikováno v:
Cybrarians Journal, Iss 56 (2019)
ICTs is evolving so rapidly that their products have become essential for providing solutions to all our problems and daily life situations. The emergence of the IoT, which is one of the new ICT domains, has led to major changes in the physical world
Externí odkaz:
https://doaj.org/article/d9c5cc031b3d4e438a0c8cc89d1a5b81
Autor:
Sánchez, David, Jebreel, Najeeb, Muralidhar, Krishnamurty, Domingo-Ferrer, Josep, Blanco-Justicia, Alberto
The threat of reconstruction attacks has led the U.S. Census Bureau (USCB) to replace in the Decennial Census 2020 the traditional statistical disclosure limitation based on rank swapping with one based on differential privacy (DP), leading to substa
Externí odkaz:
http://arxiv.org/abs/2311.03171
Autor:
Saud Alshanafey, Wesam I. Kurdi, Maha Tulbah, Rubina MA Khan, Nada Al Sahan, Maisoon Al Mugbel, Fahad Al-Hazzani, Gawaher Almutairi, Ala Jebreel, Maha Al-Nemer
Publikováno v:
Annals of Saudi Medicine, Vol 44, Iss 6, Pp 408-413 (2024)
BACKGROUND: Antenatal fetoscopic endoluminal tracheal occlusion (FETO) has been introduced as an effective intervention to improve the outcome of severe congenital diaphragmatic hernia (CDH). OBJECTIVE: We report our early experience with FETO. DESIG
Externí odkaz:
https://doaj.org/article/5a7b0b98685a41ad98244ea97aa80506
Training deep neural networks (DNNs) usually requires massive training data and computational resources. Users who cannot afford this may prefer to outsource training to a third party or resort to publicly available pre-trained models. Unfortunately,
Externí odkaz:
http://arxiv.org/abs/2302.12758
Publikováno v:
In Heliyon 15 January 2025 11(1)
In federated learning (FL), a set of participants share updates computed on their local data with an aggregator server that combines updates into a global model. However, reconciling accuracy with privacy and security is a challenge to FL. On the one
Externí odkaz:
http://arxiv.org/abs/2207.05978
Federated learning (FL) provides autonomy and privacy by design to participating peers, who cooperatively build a machine learning (ML) model while keeping their private data in their devices. However, that same autonomy opens the door for malicious
Externí odkaz:
http://arxiv.org/abs/2207.01982
Autor:
Jebreel, Najeeb, Domingo-Ferrer, Josep
Federated learning (FL) enables learning a global machine learning model from local data distributed among a set of participating workers. This makes it possible i) to train more accurate models due to learning from rich joint training data, and ii)
Externí odkaz:
http://arxiv.org/abs/2207.00872