Zobrazeno 1 - 10
of 6 551
pro vyhledávání: '"Mashhadi, A."'
Autor:
Rahat, Mahmoud, Mashhadi, Peyman Sheikholharam, Nowaczyk, Sławomir, Choudhury, Shamik, Petrin, Leo, Rognvaldsson, Thorsteinn, Voskou, Andreas, Metta, Carlo, Savelli, Claudio
This paper presents an overview of the Volvo Discovery Challenge, held during the ECML-PKDD 2024 conference. The challenge's goal was to predict the failure risk of an anonymized component in Volvo trucks using a newly published dataset. The test dat
Externí odkaz:
http://arxiv.org/abs/2409.11446
Autor:
Ren, Mengmeng, Qiao, Li, Yang, Long, Gao, Zhen, Chen, Jian, Mashhadi, Mahdi Boloursaz, Xiao, Pei, Tafazolli, Rahim, Bennis, Mehdi
This paper develops an edge-device collaborative Generative Semantic Communications (Gen SemCom) framework leveraging pre-trained Multi-modal/Vision Language Models (M/VLMs) for ultra-low-rate semantic communication via textual prompts. The proposed
Externí odkaz:
http://arxiv.org/abs/2409.09715
Recent advancements in diffusion models have made a significant breakthrough in generative modeling. The combination of the generative model and semantic communication (SemCom) enables high-fidelity semantic information exchange at ultra-low rates. A
Externí odkaz:
http://arxiv.org/abs/2407.03050
Theory of Mind (ToM) reasoning entails recognizing that other individuals possess their own intentions, emotions, and thoughts, which is vital for guiding one's own thought processes. Although large language models (LLMs) excel in tasks such as summa
Externí odkaz:
http://arxiv.org/abs/2406.05659
Autor:
Buono, Vincenzo, Mashhadi, Peyman Sheikholharam, Rahat, Mahmoud, Tiwari, Prayag, Byttner, Stefan
Although input-gradients techniques have evolved to mitigate and tackle the challenges associated with gradients, modern gradient-weighted CAM approaches still rely on vanilla gradients, which are inherently susceptible to the saturation phenomena. D
Externí odkaz:
http://arxiv.org/abs/2406.01274
Over-the-air computation (AirComp) is a promising technology converging communication and computation over wireless networks, which can be particularly effective in model training, inference, and more emerging edge intelligence applications. AirComp
Externí odkaz:
http://arxiv.org/abs/2405.15969
Autor:
Altarabichi, Mohammed Ghaith, Nowaczyk, Sławomir, Pashami, Sepideh, Mashhadi, Peyman Sheikholharam
Publikováno v:
Expert Systems with Applications, 211, p.118528 (2023)
Evolutionary Algorithms (EAs) are often challenging to apply in real-world settings since evolutionary computations involve a large number of evaluations of a typically expensive fitness function. For example, an evaluation could involve training a n
Externí odkaz:
http://arxiv.org/abs/2404.03996
Autor:
Altarabichi, Mohammed Ghaith, Nowaczyk, Sławomir, Pashami, Sepideh, Mashhadi, Peyman Sheikholharam, Handl, Julia
Publikováno v:
Information Sciences, p.120500 (2024)
This paper investigates how various randomization techniques impact Deep Neural Networks (DNNs). Randomization, like weight noise and dropout, aids in reducing overfitting and enhancing generalization, but their interactions are poorly understood. Th
Externí odkaz:
http://arxiv.org/abs/2404.03992
Generative foundation AI models have recently shown great success in synthesizing natural signals with high perceptual quality using only textual prompts and conditioning signals to guide the generation process. This enables semantic communications a
Externí odkaz:
http://arxiv.org/abs/2403.17256
Autor:
N'souglo, K. Espoir, Kowalczyk-Gajewska, Katarzyna, Marvi-Mashhadi, Mohammad, Rodriguez-Martinez, Jose A.
Publikováno v:
Mechanics of Materials 181 (2023) 104616
In this paper, we have investigated, using finite element calculations, the effect of initial texture on the formation of multiple necking patterns in ductile metallic rings subjected to rapid radial expansion. The mechanical behavior of the material
Externí odkaz:
http://arxiv.org/abs/2309.09568