Zobrazeno 1 - 10
of 31 779
pro vyhledávání: '"Allah AS"'
Autor:
Chen, Zhuomin, Ni, Jingchao, Salehi, Hojat Allah, Zheng, Xu, Schafir, Esteban, Shirani, Farhad, Luo, Dongsheng
Graph representation learning (GRL), enhanced by graph augmentation methods, has emerged as an effective technique achieving performance improvements in wide tasks such as node classification and graph classification. In self-supervised GRL, paired g
Externí odkaz:
http://arxiv.org/abs/2410.12657
Autor:
Czekster, Ricardo M., Perez, Alexeis Garcia, Kavakli-Thorne, Manolya, Nasri, Seif Allah El Mesloul, Shaikh, Siraj
Digital Twin (DT) technologies promise to remove cyber-physical barriers in systems and services and provide seamless management of distributed resources effectively. Ideally, full-fledged instantiations of DT offer bi-directional features for physic
Externí odkaz:
http://arxiv.org/abs/2410.08479
Autor:
Ebad-Allah, Jihaan, Guterding, Daniel, Varma, Meera, Diware, Mangesh, Ganorkar, Shraddha, Jeschke, Harald O., Kuntscher, Christine A.
The unexpected discovery of intrinsic ferromagnetism in layered van der Waals materials has sparked interest in both their fundamental properties and their potential for novel applications. Recent studies suggest near room-temperature ferromagnetism
Externí odkaz:
http://arxiv.org/abs/2410.02522
Federated learning (FL) has emerged as a promising framework for distributed machine learning. It enables collaborative learning among multiple clients, utilizing distributed data and computing resources. However, FL faces challenges in balancing pri
Externí odkaz:
http://arxiv.org/abs/2409.13133
Autor:
Rafik, Zeraoulia, Allah, Sobhan Sobhan
This paper explores a novel approach to modeling the positional dynamics of stars using discrete dynamical systems. We define star evolution through discrete-time update rules based on right ascension, declination, and distance, incorporating chaotic
Externí odkaz:
http://arxiv.org/abs/2410.02457
The industry increasingly relies on deep learning (DL) technology for manufacturing inspections, which are challenging to automate with rule-based machine vision algorithms. DL-powered inspection systems derive defect patterns from labeled images, co
Externí odkaz:
http://arxiv.org/abs/2409.09108
Publikováno v:
Nucl. Phys. B 1006 (2024) 116621
The wormhole solution in dRGT massive gravity is examined in this paper in the background of non-commutative geometry. In order to derive the wormhole model, along with the zero tidal force, we assume that the matter distribution is given by the Gaus
Externí odkaz:
http://arxiv.org/abs/2407.05111
Rydberg atom array experiments have demonstrated the ability to act as powerful quantum simulators, preparing strongly-correlated phases of matter which are challenging to study for conventional computer simulations. A key direction has been the impl
Externí odkaz:
http://arxiv.org/abs/2405.20384
Autor:
Ebad-Allah, J., Jiang, M. -C., Borkenhagen, R., Meggle, F., Prodan, L., Tsurkan, V., Schilberth, F., Guo, G. -Y., Arita, R., Kézsmárki, I., Kuntscher, C. A.
Antiferromagnetic FeSn is considered to be a close realization of the ideal two-dimensional (2D) kagome lattice, hosting Dirac cones, van Hove singularities, and flat bands, as it comprises Fe$_3$Sn kagome layers well separated by Sn buffer layers. W
Externí odkaz:
http://arxiv.org/abs/2404.12111
Autor:
Islam, Taminul, Sheakh, Md. Alif, Tahosin, Mst. Sazia, Hena, Most. Hasna, Akash, Shopnil, Jardan, Yousef A. Bin, Wondmie, Gezahign Fentahun, Nafidi, Hiba-Allah, Bourhia, Mohammed
Breast cancer has rapidly increased in prevalence in recent years, making it one of the leading causes of mortality worldwide. Among all cancers, it is by far the most common. Diagnosing this illness manually requires significant time and expertise.
Externí odkaz:
http://arxiv.org/abs/2404.04686