Zobrazeno 1 - 10
of 15 901
pro vyhledávání: '"A. Hamzeh"'
Training deep learning models, particularly Transformer-based architectures such as Large Language Models (LLMs), demands substantial computational resources and extended training periods. While optimal configuration and infrastructure selection can
Externí odkaz:
http://arxiv.org/abs/2412.15519
Autor:
Azizi, Majid, Soleymaninia, Maryam, Hashamipour, Hadi, Salajegheh, Maral, Khanpour, Hamzeh, Meißner, Ulf-G.
We present new parton distribution functions (PDFs) at next-to-leading order (NLO) and next-to-next-to-leading order (NNLO) in perturbative QCD, derived from a comprehensive global QCD analysis of high-precision data sets from combined HERA deep-inel
Externí odkaz:
http://arxiv.org/abs/2412.10727
Autor:
Arpanaei, Farhad, Zefreh, Mahdi Ranjbar, Jiang, Yanchao, Poggiolini, Pierluigi, Ghodsifar, Kimia, Beyranvand, Hamzeh, Natalino, Carlos, Monti, Paolo, Napoli, Antonio, Rivas-Moscoso, Jose M., de Dios, Oscar Gonzalez, Fernandez-Palacios, Juan P., Dobre, Octavia A., Hernandez, Jose Alberto, Larrabeiti, David
The extension of elastic optical networks (EON) to multi-band transmission (MB-EON) shows promise in enhancing spectral efficiency, throughput, and long-term cost-effectiveness for telecom operators. However, designing MB-EON networks introduces comp
Externí odkaz:
http://arxiv.org/abs/2411.02911
The innovative use of cellular operator energy storage enhances smart grid resilience and efficiency. Traditionally used to ensure uninterrupted operation of cellular base stations (BSs) during grid outages, these storages can now dynamically partici
Externí odkaz:
http://arxiv.org/abs/2410.03397
Experimental Framework for Generating Reliable Ground Truth for Laryngeal Spatial Segmentation Tasks
Objective: The validity of objective measures derived from high-speed videoendoscopy (HSV) depends, among other factors, on the validity of spatial segmentation. Evaluation of the validity of spatial segmentation requires the existence of reliable gr
Externí odkaz:
http://arxiv.org/abs/2409.02809
Objective: The Daily Phonotrauma Index (DPI) can quantify pathophysiological mechanisms associated with daily voice use in individuals with phonotraumatic vocal hyperfunction (PVH). Since DPI was developed based on week-long ambulatory voice monitori
Externí odkaz:
http://arxiv.org/abs/2409.02800
Publikováno v:
Eur. Phys. J. Plus 139, 834 (2024)
This article introduces {\tt AAK24}, a Next-to-Leading Order (NLO) QCD analysis of polarized data from both polarized Deep Inelastic Scattering (DIS) and Semi-Inclusive Deep Inelastic Scattering (SIDIS) experiments on the nucleon. The {\tt AAK24} QCD
Externí odkaz:
http://arxiv.org/abs/2408.16552
Autor:
Gholipour, Hamed, Bozorgnia, Farid, Hambarde, Kailash, Mohammadigheymasi, Hamzeh, Mancilla, Javier, Sequeira, Andre, Neves, Joao, Proença, Hugo
Laplacian learning method is a well-established technique in classical graph-based semi-supervised learning, but its potential in the quantum domain remains largely unexplored. This study investigates the performance of the Laplacian-based Quantum Se
Externí odkaz:
http://arxiv.org/abs/2408.05498
Utilising Explainable Techniques for Quality Prediction in a Complex Textiles Manufacturing Use Case
Autor:
Forsberg, Briony, Williams, Dr Henry, MacDonald, Prof Bruce, Chen, Tracy, Hamzeh, Dr Reza, Hulse, Dr Kirstine
This paper develops an approach to classify instances of product failure in a complex textiles manufacturing dataset using explainable techniques. The dataset used in this study was obtained from a New Zealand manufacturer of woollen carpets and rugs
Externí odkaz:
http://arxiv.org/abs/2407.18544
In the ever-shifting landscape of software engineering, we recognize the need for adaptation and evolution to maintain system dependability. As each software iteration potentially introduces new challenges, from unforeseen bugs to performance anomali
Externí odkaz:
http://arxiv.org/abs/2407.07287