Zobrazeno 1 - 10
of 65 705
pro vyhledávání: '"Awad AS"'
Autor:
Awad, Ali, Saleem, Ashraf, Paheding, Sidike, Lucas, Evan, Al-Ratrout, Serein, Havens, Timothy C.
Underwater imagery often suffers from severe degradation that results in low visual quality and object detection performance. This work aims to evaluate state-of-the-art image enhancement models, investigate their impact on underwater object detectio
Externí odkaz:
http://arxiv.org/abs/2411.14626
Autor:
Awad, Petra, Li, Ting S., Erkal, Denis, Peletier, Reynier F., Bunte, Kerstin, Koposov, Sergey E., Li, Andrew, Balbinot, Eduardo, Smith, Rory, Canducci, Marco, Tino, Peter, Senkevich, Alexandra M., Cullinane, Lara R., Da Costa, Gary S., Ji, Alexander P., Kuehn, Kyler, Lewis, Geraint F., Pace, Andrew B., Zucker, Daniel B., Bland-Hawthorn, Joss, Limberg, Guilherme, Martell, Sarah L., McKenzie, Madeleine, Yang, Yong, Usman, Sam A.
As globular clusters (GCs) orbit the Milky Way, their stars are tidally stripped forming tidal tails that follow the orbit of the clusters around the Galaxy. The morphology of these tails is complex and shows correlations with the phase of the orbit
Externí odkaz:
http://arxiv.org/abs/2411.08991
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
Thousands of individuals succumb annually to leukemia alone. This study explores the application of image processing and deep learning techniques for detecting Acute Lymphoblastic Leukemia (ALL), a severe form of blood cancer responsible for numerous
Externí odkaz:
http://arxiv.org/abs/2410.10701
Autor:
Al-Mohy, Awad H.
The computation of off-diagonal blocks of matrix functions $f(T)$, where $T$ is block triangular, poses a challenging problem in scientific computing. We present a novel algorithm that exploits the structure of block triangular matrices, generalizing
Externí odkaz:
http://arxiv.org/abs/2410.03575
Autor:
Shokry, Ahmed, Gomaa, Walid, Zaenker, Tobias, Dawood, Murad, Maged, Shady A., Awad, Mohammed I., Bennewitz, Maren
Peg-in-hole assembly in unknown environments is a challenging task due to onboard sensor errors, which result in uncertainty and variations in task parameters such as the hole position and orientation. Meta Reinforcement Learning (Meta RL) has been p
Externí odkaz:
http://arxiv.org/abs/2409.16208