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TempCharBERT: Keystroke Dynamics for Continuous Access Control Based on Pre-trained Language Models

Autor: Simão, Matheus, Prado, Fabiano, Wahab, Omar Abdul, Avila, Anderson

With the widespread of digital environments, reliable authentication and continuous access control has become crucial. It can minimize cyber attacks and prevent frauds, specially those associated with identity theft. A particular interest lies on key

Externí odkaz: http://arxiv.org/abs/2411.07224

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Enhancing Mutual Trustworthiness in Federated Learning for Data-Rich Smart Cities

Autor: Wehbi, Osama, Arisdakessian, Sarhad, Guizani, Mohsen, Wahab, Omar Abdel, Mourad, Azzam, Otrok, Hadi, khzaimi, Hoda Al, Ouni, Bassem

Federated learning is a promising collaborative and privacy-preserving machine learning approach in data-rich smart cities. Nevertheless, the inherent heterogeneity of these urban environments presents a significant challenge in selecting trustworthy

Externí odkaz: http://arxiv.org/abs/2405.00394

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The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions

Autor: Sami, Hani, Hammoud, Ahmad, Arafeh, Mouhamad, Wazzeh, Mohamad, Arisdakessian, Sarhad, Chahoud, Mario, Wehbi, Osama, Ajaj, Mohamad, Mourad, Azzam, Otrok, Hadi, Wahab, Omar Abdel, Mizouni, Rabeb, Bentahar, Jamal, Talhi, Chamseddine, Dziong, Zbigniew, Damiani, Ernesto, Guizani, Mohsen

The Metaverse offers a second world beyond reality, where boundaries are non-existent, and possibilities are endless through engagement and immersive experiences using the virtual reality (VR) technology. Many disciplines can benefit from the advance

Externí odkaz: http://arxiv.org/abs/2304.09240

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A Survey on Explainable Artificial Intelligence for Cybersecurity

Autor: Rjoub, Gaith, Bentahar, Jamal, Wahab, Omar Abdel, Mizouni, Rabeb, Song, Alyssa, Cohen, Robin, Otrok, Hadi, Mourad, Azzam

The black-box nature of artificial intelligence (AI) models has been the source of many concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a rapidly growing research field that aims to create machine learnin

Externí odkaz: http://arxiv.org/abs/2303.12942

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Akademický článek

Licorice-root extract and potassium sorbate spray improved the yield and fruit quality and decreased heat stress of the ‘osteen’ mango cultivar

Autor: Adel M. Al-Saif, Haitham Ahmed El-khamissi, Ibrahim Ahmed Elnaggar, Mohammed Hamdy Farouk, Magdy Abd El-Wahab Omar, Abd El-wahed Naser Abd El-wahed, Ashraf Ezzat Hamdy, Hosny Fathy Abdel-Aziz

Publikováno v: PeerJ, Vol 12, p e18200 (2024)

Heat stress, low mango yields and inconsistent fruit quality are main challenges for growers. Recently, licorice-root extract (LRE) has been utilized to enhance vegetative growth, yield, and tolerance to abiotic stresses in fruit trees. Potassium sor

Externí odkaz: https://doaj.org/article/b171d9894a4242feb321106f568fb1ab

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FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices

Autor: Wehbi, Osama, Arisdakessian, Sarhad, Wahab, Omar Abdel, Otrok, Hadi, Otoum, Safa, Mourad, Azzam, Guizani, Mohsen

Federated Learning (FL) is a novel distributed privacy-preserving learning paradigm, which enables the collaboration among several participants (e.g., Internet of Things devices) for the training of machine learning models. However, selecting the par

Externí odkaz: http://arxiv.org/abs/2211.01805

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