Zobrazeno 1 - 10
of 76 186
pro vyhledávání: '"Walid, A."'
Automated process discovery from event logs is a key component of process mining, allowing companies to acquire meaningful insights into their business processes. Despite significant research, present methods struggle to balance important quality dim
Externí odkaz:
http://arxiv.org/abs/2412.06653
In this paper, we develop the first comprehensive tutorial on designing future 6G networks that synergistically integrate notions of resilience and criticality from the ground up. While resilience refers to the ability to absorb, adapt to, and recove
Externí odkaz:
http://arxiv.org/abs/2412.03661
Autor:
Minkova, Laura, Espejel, Jessica López, Djaidja, Taki Eddine Toufik, Dahhane, Walid, Ettifouri, El Hassane
As businesses increasingly rely on automation to streamline operations, the limitations of Robotic Process Automation (RPA) have become apparent, particularly its dependence on expert knowledge and inability to handle complex decision-making tasks. R
Externí odkaz:
http://arxiv.org/abs/2412.03446
As mission- and safety-critical wireless applications grow in complexity and diversity, next-generation wireless systems must meet increasingly stringent and multifaceted requirements. These systems demand resilience along with enhanced intelligence
Externí odkaz:
http://arxiv.org/abs/2412.01909
Path planning is a complex problem for many practical applications, particularly in robotics. Existing algorithms, however, are exhaustive in nature and become increasingly complex when additional side constraints are incorporated alongside distance
Externí odkaz:
http://arxiv.org/abs/2411.18212
Autor:
Djuhera, Aladin, Andrei, Vlad C., Pourghasemian, Mohsen, Gacanin, Haris, Boche, Holger, Saad, Walid
Multi-task large language models (MTLLMs) are important for many applications at the wireless edge, where users demand specialized models to handle multiple tasks efficiently. However, training MTLLMs is complex and exhaustive, particularly when task
Externí odkaz:
http://arxiv.org/abs/2411.18220
Cellular vehicle-to-everything (C-V2X) networks provide a promising solution to improve road safety and traffic efficiency. One key challenge in such systems lies in meeting different quality-of-service (QoS) requirements of coexisting vehicular comm
Externí odkaz:
http://arxiv.org/abs/2411.10925
Autor:
Rayhan, Yeasir, Aref, Walid G.
Ever since the Dennard scaling broke down in the early 2000s and the frequency of the CPU stalled, vendors have started to increase the core count in each CPU chip at the expense of introducing heterogeneity, thus ushering the era of NUMA processors.
Externí odkaz:
http://arxiv.org/abs/2411.02933
In this study, we investigated the robustness of Quanvolutional Neural Networks (QuNNs) in comparison to their classical counterparts, Convolutional Neural Networks (CNNs), against two adversarial attacks: FGSM and PGD, for the image classification t
Externí odkaz:
http://arxiv.org/abs/2411.11870
Autor:
Pourasad, Ali Ebrahimi, Maalej, Walid
Ensuring usability is crucial for the success of mobile apps. Usability issues can compromise user experience and negatively impact the perceived app quality. This paper presents UX-LLM, a novel tool powered by a Large Vision-Language Model that pred
Externí odkaz:
http://arxiv.org/abs/2411.00634