Zobrazeno 1 - 10
of 8 371
pro vyhledávání: '"A. Hamadi"'
Malware visualization analysis incorporating with Machine Learning (ML) has been proven to be a promising solution for improving security defenses on different platforms. In this work, we propose an integrated framework for addressing common problems
Externí odkaz:
http://arxiv.org/abs/2409.14439
Autor:
Hamadi, Majed, Mahdavi-Amiri, Nezam
In applications, we often need to compute functions of matrices, such as banded matrices, the Kronecker sum of banded matrices, Toeplitz matrices, and many other types, which all share the common feature that their non-zero elements are concentrated
Externí odkaz:
http://arxiv.org/abs/2408.04128
Recently, large language models (LLMs) have been gaining a lot of interest due to their adaptability and extensibility in emerging applications, including communication networks. It is anticipated that 6G mobile edge computing networks will be able t
Externí odkaz:
http://arxiv.org/abs/2408.00722
Image Restoration (IR) methods based on a pre-trained diffusion model have demonstrated state-of-the-art performance. However, they have two fundamental limitations: 1) they often assume that the degradation operator is completely known and 2) they a
Externí odkaz:
http://arxiv.org/abs/2405.19572
Autor:
Chihaoui, Hamadi, Favaro, Paolo
We introduce a novel approach to single image denoising based on the Blind Spot Denoising principle, which we call MAsked and SHuffled Blind Spot Denoising (MASH). We focus on the case of correlated noise, which often plagues real images. MASH is the
Externí odkaz:
http://arxiv.org/abs/2404.09389
Autor:
Naihin, Silen, Atkinson, David, Green, Marc, Hamadi, Merwane, Swift, Craig, Schonholtz, Douglas, Kalai, Adam Tauman, Bau, David
A prerequisite for safe autonomy-in-the-wild is safe testing-in-the-wild. Yet real-world autonomous tests face several unique safety challenges, both due to the possibility of causing harm during a test, as well as the risk of encountering new unsafe
Externí odkaz:
http://arxiv.org/abs/2311.10538
Eye contact is a crucial non-verbal interaction modality and plays an important role in our everyday social life. While humans are very sensitive to eye contact, the capabilities of machines to capture a person's gaze are still mediocre. We tackle th
Externí odkaz:
http://arxiv.org/abs/2311.04505
Estimating the head pose of a person is a crucial problem for numerous applications that is yet mainly addressed as a subtask of frontal pose prediction. We present a novel method for unconstrained end-to-end head pose estimation to tackle the challe
Externí odkaz:
http://arxiv.org/abs/2309.07654
Publikováno v:
Journal of Chemistry, Vol 2018 (2018)
Fly ash and oil shale ash generated from power plants can be transformed to suitable materials usable for removal of heavy metals. Due to their high silica content, fly ash and oil shale ash have been considered as the main stone of zeolite synthesis
Externí odkaz:
https://doaj.org/article/302ebe04031e4ea3b25e714ffc4bc43e
Autor:
Dinges, Laslo, Fiedler, Marc-André, Al-Hamadi, Ayoub, Hempel, Thorsten, Abdelrahman, Ahmed, Weimann, Joachim, Bershadskyy, Dmitri
Deception detection is an interdisciplinary field attracting researchers from psychology, criminology, computer science, and economics. We propose a multimodal approach combining deep learning and discriminative models for automated deception detecti
Externí odkaz:
http://arxiv.org/abs/2307.06625