Zobrazeno 1 - 10
of 57 259
pro vyhledávání: '"A. A. Awad"'
Autor:
Mustapha, Ahmad, Al-Khansa, Hadi, Al-Mubasher, Hadi, Mourad, Aya, Hamoud, Ranam, El-Husseini, Hasan, Al-Sakkaf, Marwah, Awad, Mariette
Large Language Models (LLMs) have shown remarkable capabilities, not only in generating human-like text, but also in acquiring knowledge. This highlights the need to go beyond the typical Natural Language Processing downstream benchmarks and asses th
Externí odkaz:
http://arxiv.org/abs/2501.00559
Autor:
Ghanim, Jihan, Awad, Mariette
Anomaly detection (AD) plays a crucial role in time series applications, primarily because time series data is employed across real-world scenarios. Detecting anomalies poses significant challenges since anomalies take diverse forms making them hard
Externí odkaz:
http://arxiv.org/abs/2501.00107
Autor:
Dutta, Rajdeep, Varma, T Venkatesh, Sarkar, Saikat, Mamajiwala, Mariya, Awad, Noor, Jayavelu, Senthilnath, Roy, Debasish
Many global optimization algorithms of the memetic variety rely on some form of stochastic search, and yet they often lack a sound probabilistic basis. Without a recourse to the powerful tools of stochastic calculus, treading the fine balance between
Externí odkaz:
http://arxiv.org/abs/2412.11036
Autor:
Pacolli, Njomza, Awad, Ahmad, Kehls, Jannick, Sauren, Bjorn, Klinkel, Sven, Reese, Stefanie, Holthusen, Hagen
This contribution presents an improved low-order 3D finite element formulation with hourglass stabilization using automatic differentiation (AD). Here, the former Q1STc formulation is enhanced by an approximation-free computation of the inverse Jacob
Externí odkaz:
http://arxiv.org/abs/2412.02309
Autor:
Sgarro, Paolo, Ovcharov, Roman, Khymyn, Roman, Ghosh, Sambit, Awad, Ahmad A., Åkerman, Johan, Litvinenko, Artem
We present a frequency tunable magneto-acoustic oscillator (MAO) operating in low-phase-noise and complex dynamical regimes based on a single composite YIG-GGG resonator. The magneto-acoustic resonator (MAR) is based on a YIG (yttrium iron garnet) la
Externí odkaz:
http://arxiv.org/abs/2411.19646
Autor:
Abo-eleneen, Amr, Helmy, Menna, Abdellatif, Alaa Awad, Erbad, Aiman, Mohamed, Amr, Abdallah, Mohamed
In the face of increasing demand for zero-touch networks to automate network management and operations, two pivotal concepts have emerged: "Learn to Slice" (L2S) and "Slice to Learn" (S2L). L2S involves leveraging Artificial intelligence (AI) techniq
Externí odkaz:
http://arxiv.org/abs/2411.03686
Surgical scene segmentation is essential for enhancing surgical precision, yet it is frequently compromised by the scarcity and imbalance of available data. To address these challenges, semantic image synthesis methods based on generative adversarial
Externí odkaz:
http://arxiv.org/abs/2410.23962
Autor:
Abdellatif, Alaa Awad, Elmancy, Ali, Mohamed, Amr, Massoud, Ahmed, Lebda, Wadha, Naji, Khalid K.
This paper introduces a comprehensive framework for Post-Disaster Search and Rescue (PDSR), aiming to optimize search and rescue operations leveraging Unmanned Aerial Vehicles (UAVs). The primary goal is to improve the precision and availability of s
Externí odkaz:
http://arxiv.org/abs/2410.22982
The forthcoming 6G networks will embrace a new realm of AI-driven services that requires innovative network slicing strategies, namely slicing for AI, which involves the creation of customized network slices to meet Quality of service (QoS) requireme
Externí odkaz:
http://arxiv.org/abs/2411.02412
Fairness-aware Machine Learning (FairML) applications are often characterized by complex social objectives and legal requirements, frequently involving multiple, potentially conflicting notions of fairness. Despite the well-known Impossibility Theore
Externí odkaz:
http://arxiv.org/abs/2410.13286