Zobrazeno 1 - 10
of 6 599
pro vyhledávání: '"BOUZIDI, A."'
Autor:
Khader, Massine El, Bouzidi, Elias Al, Oumida, Abdellah, Sbaihi, Mohammed, Binard, Eliott, Poli, Jean-Philippe, Ouerdane, Wassila, Addad, Boussad, Kapusta, Katarzyna
Recent advances in Diffusion Models have enabled the generation of images from text, with powerful closed-source models like DALL-E and Midjourney leading the way. However, open-source alternatives, such as StabilityAI's Stable Diffusion, offer compa
Externí odkaz:
http://arxiv.org/abs/2412.00064
This paper presents a novel learning-based approach for online estimation of maximal safe sets for local motion planning tasks in mobile robotics. We leverage the idea of hypernetworks to achieve good generalization properties and real-time performan
Externí odkaz:
http://arxiv.org/abs/2410.20267
Autor:
Waqas, Muhammad, Bietenholz, Wolfgang, Bouzidi, Mohamed, Ajaz, Muhammad, Ismail, Abd Al Karim Haj, Saidani, Taoufik
Publikováno v:
J. Phys. G: Nucl. Part. Phys. 51 (2024) 075102
We investigate the transverse momentum spectra of identified particles at 7 TeV and 13 TeV in pp collisions in the framework of the blast wave model with Tsallis statistics (TBW). Based on experimental data by ALICE Collaboration, we observe that the
Externí odkaz:
http://arxiv.org/abs/2406.04631
The massive deployment of Machine Learning (ML) models has been accompanied by the emergence of several attacks that threaten their trustworthiness and raise ethical and societal concerns such as invasion of privacy, discrimination risks, and lack of
Externí odkaz:
http://arxiv.org/abs/2406.01708
In complex traffic environments, autonomous vehicles face multi-modal uncertainty about other agents' future behavior. To address this, recent advancements in learningbased motion predictors output multi-modal predictions. We present our novel framew
Externí odkaz:
http://arxiv.org/abs/2405.03470
Recent advancements in Artificial Intelligence (AI), driven by Neural Networks (NN), demand innovative neural architecture designs, particularly within the constrained environments of Internet of Things (IoT) systems, to balance performance and effic
Externí odkaz:
http://arxiv.org/abs/2402.13204
Autor:
Olayé, Jules, Bouzidi, Hala, Aristov, Andrey, Ramos, Salomé Gutiérrez, Baroud, Charles, Bansaye, Vincent
The growth of a population is often modeled as branching process where each individual at the end of its life is replaced by a certain number of offspring. An example of these branching models is the Bellman-Harris process, where the lifetime of indi
Externí odkaz:
http://arxiv.org/abs/2402.03842
Model Predictive Control lacks the ability to escape local minima in nonconvex problems. Furthermore, in fast-changing, uncertain environments, the conventional warmstart, using the optimal trajectory from the last timestep, often falls short of prov
Externí odkaz:
http://arxiv.org/abs/2310.02918
Publikováno v:
Energy and Built Environment, Vol 5, Iss 6, Pp 933-945 (2024)
This paper presents a comparative study on the thermal comfort of traditional and contemporary houses in Byblos, Lebanon. With climate change affecting indoor environments and potentially leading to increased energy consumption, achieving optimal the
Externí odkaz:
https://doaj.org/article/87de99a151344880922358aa35c3f997
Autor:
Kamel Akroum, Bouzidi Mezghiche
Publikováno v:
Journal of Rehabilitation in Civil Engineering, Vol 12, Iss 4, Pp 1-19 (2024)
The use of demolition aggregates (DAs) in second-generation concretes is an important issue, as they often have high water absorption, which affects the workability and durability of the cementitious materials incorporating them. This makes their dir
Externí odkaz:
https://doaj.org/article/62a5bd5c06b846c696ac535d042d5e10