Zobrazeno 1 - 10
of 37 234
pro vyhledávání: '"A. Sameh"'
This paper evaluates the use of metamorphic relations to enhance the robustness and real-world performance of machine learning models. We propose a Metamorphic Retraining Framework, which applies metamorphic relations to data and utilizes semi-superv
Externí odkaz:
http://arxiv.org/abs/2412.01958
Autor:
Giudici, Andrea, Huang, Weicheng, Wang, Qiong, Wang, Yuzhe, Liu, Mingchao, Tawfick, Sameh, Vella, Dominic
A symmetrically-buckled arch whose boundaries are clamped at an angle has two stable equilibria: an inverted and a natural state. When the distance between the clamps is increased (i.e. the confinement is decreased) the system snaps from the inverted
Externí odkaz:
http://arxiv.org/abs/2411.13971
Optimal control theory extending from the calculus of variations has not been used to study the wind turbine power system (WTPS) control problem, which aims at achieving two targets: (i) maximizing power generation in lower wind speed conditions; and
Externí odkaz:
http://arxiv.org/abs/2411.09830
Rotating magnets have recently emerged as an efficient method for producing ultra-low frequency signals for through-earth and through-seawater communications. Magneto-mechanical resonator (MMR) arrays, which are magnetized torsional rotors with a res
Externí odkaz:
http://arxiv.org/abs/2410.14855
This paper explores the performance optimization of out-of-core (OOC) Cholesky factorization on shared-memory systems equipped with multiple GPUs. We employ fine-grained computational tasks to expose concurrency while creating opportunities to overla
Externí odkaz:
http://arxiv.org/abs/2410.09819
Gaussian Processes (GPs) are vital for modeling and predicting irregularly-spaced, large geospatial datasets. However, their computations often pose significant challenges in large-scale applications. One popular method to approximate GPs is the Vecc
Externí odkaz:
http://arxiv.org/abs/2410.04477
Autor:
Shah, Aagam, Weissbach, Reimar, Griggs, David A., Hart, A. John, Ertekin, Elif, Tawfick, Sameh
With the increasing adoption of metal additive manufacturing (AM), researchers and practitioners are turning to data-driven approaches to optimise printing conditions. Cross-sectional images of melt tracks provide valuable information for tuning proc
Externí odkaz:
http://arxiv.org/abs/2409.18326
Autor:
Abdulah, Sameh, Baker, Allison H., Bosilca, George, Cao, Qinglei, Castruccio, Stefano, Genton, Marc G., Keyes, David E., Khalid, Zubair, Ltaief, Hatem, Song, Yan, Stenchikov, Georgiy L., Sun, Ying
We present the design and scalable implementation of an exascale climate emulator for addressing the escalating computational and storage requirements of high-resolution Earth System Model simulations. We utilize the spherical harmonic transform to s
Externí odkaz:
http://arxiv.org/abs/2408.04440
Autor:
Frihat, Sameh, Fuhr, Norbert
In this paper, we present a new approach to improving the relevance and reliability of medical IR, which builds upon the concept of Level of Evidence (LoE). LoE framework categorizes medical publications into 7 distinct levels based on the underlying
Externí odkaz:
http://arxiv.org/abs/2407.18383
Computational statistics has traditionally utilized double-precision (64-bit) data structures and full-precision operations, resulting in higher-than-necessary accuracy for certain applications. Recently, there has been a growing interest in explorin
Externí odkaz:
http://arxiv.org/abs/2406.02701