Zobrazeno 1 - 10
of 32 378
pro vyhledávání: '"A A, Abdelkader"'
Let $(X_N)_{N\geq 1}$ denote a sequence of real random variables and let $\vartheta$ be the mode of the random variable of interest $X$. In this paper, we study the kernel mode estimator (say) $\vartheta_n$ when the data are widely orthant dependent
Externí odkaz:
http://arxiv.org/abs/2412.07874
Publikováno v:
IADIS Applied Computing, international association for the development of the information society, Apr 2008, algarve, Portugal
Evaluation of join queries is very challenging since they have to deal with an increasing data size. We study the relational join query processing realized by hash tables and we focus on the case of equi join queries. We propose to use a new form of
Externí odkaz:
http://arxiv.org/abs/2411.18183
This article provides a new approach on how to enhance data storage and retrieval in the Query By Image Content Systems (QBIC) by introducing the ${\rm NEM}_{\sigma}$ distance measure, satisfying the relaxed triangle inequality. By leveraging the con
Externí odkaz:
http://arxiv.org/abs/2411.18800
Autor:
Nacar, Omer, Abdelkader, Mohamed, Ghouti, Lahouari, Gabr, Kahled, Al-Batati, Abdulrahman S., Koubaa, Anis
This paper tackles the challenge of real-time 3D trajectory prediction for UAVs, which is critical for applications such as aerial surveillance and defense. Existing prediction models that rely primarily on position data struggle with accuracy, espec
Externí odkaz:
http://arxiv.org/abs/2410.23305
The concept of near resonances for harmonic approximations of semiclassical Schr\"odinger operators is introduced and explored. Combined with a natural extension of the Birkhoff-Gustavson normal form, we obtain formulas for approaching the discrete s
Externí odkaz:
http://arxiv.org/abs/2410.11440
In the field of sensor fusion and state estimation for object detection and localization, ensuring accurate tracking in dynamic environments poses significant challenges. Traditional methods like the Kalman Filter (KF) often fail when measurements ar
Externí odkaz:
http://arxiv.org/abs/2410.10409
Autor:
Mahdaouy, Abdelkader El, Lamsiyah, Salima, Idrissi, Meryem Janati, Alami, Hamza, Yartaoui, Zakaria, Berrada, Ismail
Detecting and classifying suspicious or malicious domain names and URLs is fundamental task in cybersecurity. To leverage such indicators of compromise, cybersecurity vendors and practitioners often maintain and update blacklists of known malicious d
Externí odkaz:
http://arxiv.org/abs/2409.09143
We investigate a cavity-magnon system with two magnon modes coupled to a common cavity microwave field. The cavity is integrated with an optical parametric amplifier (OPA) and driven by a squeezed vacuum field. The introduction of the OPA and the squ
Externí odkaz:
http://arxiv.org/abs/2408.05638
Autor:
Elharrouss, Omar, Damseh, Rafat, Belkacem, Abdelkader Nasreddine, Badidi, Elarbi, Lakas, Abderrahmane
Image inpainting is currently a hot topic within the field of computer vision. It offers a viable solution for various applications, including photographic restoration, video editing, and medical imaging. Deep learning advancements, notably convoluti
Externí odkaz:
http://arxiv.org/abs/2407.00226
Autor:
Islam, Md Saiful, Adnan, Tariq, Freyberg, Jan, Lee, Sangwu, Abdelkader, Abdelrahman, Pawlik, Meghan, Schwartz, Cathe, Jaffe, Karen, Schneider, Ruth B., Dorsey, E Ray, Hoque, Ehsan
Limited accessibility to neurological care leads to underdiagnosed Parkinson's Disease (PD), preventing early intervention. Existing AI-based PD detection methods primarily focus on unimodal analysis of motor or speech tasks, overlooking the multifac
Externí odkaz:
http://arxiv.org/abs/2406.14856