Zobrazeno 1 - 10
of 644
pro vyhledávání: '"Sadok, Ben"'
Autor:
Dutta, Siddhant, Karanth, Pavana P, Xavier, Pedro Maciel, de Freitas, Iago Leal, Innan, Nouhaila, Yahia, Sadok Ben, Shafique, Muhammad, Neira, David E. Bernal
The widespread deployment of products powered by machine learning models is raising concerns around data privacy and information security worldwide. To address this issue, Federated Learning was first proposed as a privacy-preserving alternative to c
Externí odkaz:
http://arxiv.org/abs/2409.11430
The growing computational demands of artificial intelligence (AI) in addressing climate change raise significant concerns about inefficiencies and environmental impact, as highlighted by the Jevons paradox. We propose an attention-enhanced quantum ph
Externí odkaz:
http://arxiv.org/abs/2409.01626
Financial market prediction and optimal trading strategy development remain challenging due to market complexity and volatility. Our research in quantum finance and reinforcement learning for decision-making demonstrates the approach of quantum-class
Externí odkaz:
http://arxiv.org/abs/2408.03088
This paper presents a new simulation-based approach to address the stochastic Dynamic Traffic Assignment (DTA) problem, focusing on large congested networks and dynamic settings. The proposed methodology incorporates a random walk model inspired by t
Externí odkaz:
http://arxiv.org/abs/2311.12440
Data integration is considered a classic research field and a pressing need within the information science community. Ontologies play a critical role in such a process by providing well-consolidated support to link and semantically integrate datasets
Externí odkaz:
http://arxiv.org/abs/2310.11723
Autor:
Rincon-Yanez, Diego, Ounoughi, Chahinez, Sellami, Bassem, Kalvet, Tarmo, Tiits, Marek, Senatore, Sabrina, Yahia, Sadok Ben
Knowledge representation (KR) is vital in designing symbolic notations to represent real-world facts and facilitate automated decision-making tasks. Knowledge graphs (KGs) have emerged so far as a popular form of KR, offering a contextual and human-l
Externí odkaz:
http://arxiv.org/abs/2310.11161
Recent Byzantine fault-tolerant (BFT) state machine replication (SMR) protocols increasingly focus on scalability to meet the requirements of distributed ledger technology (DLT). Validating the performance of scalable BFT protocol implementations req
Externí odkaz:
http://arxiv.org/abs/2309.17245
The novel blockchain generation of Byzantine fault-tolerant (BFT) state machine replication (SMR) protocols focuses on scalability and performance to meet requirements of distributed ledger technology (DLT), e.g., decentralization and geographic disp
Externí odkaz:
http://arxiv.org/abs/2208.14745
Publikováno v:
In Future Generation Computer Systems February 2025 163
Autor:
Daniel Ribeiro Dos Santos, Anne Julien-Vergonjanne, Sadok Ben Dkhil, Marie Parmentier, Pierre Combeau, Stephanie Sahuguede, Johann Boucle
Publikováno v:
IEEE Access, Vol 12, Pp 41027-41041 (2024)
The massive deployment of IoT connected devices brings up different modern problems, such as radiofrequency spectrum saturation and energetic requirements. Organic photovoltaics are good candidates for indoor energy harvesting and data reception in a
Externí odkaz:
https://doaj.org/article/2faee5dc2e5b4ae78a14c316b49cf1a8