Zobrazeno 1 - 10
of 20 289
pro vyhledávání: '"Ghazali, A."'
Autor:
Felten, Florian, Ucak, Umut, Azmani, Hicham, Peng, Gao, Röpke, Willem, Baier, Hendrik, Mannion, Patrick, Roijers, Diederik M., Terry, Jordan K., Talbi, El-Ghazali, Danoy, Grégoire, Nowé, Ann, Rădulescu, Roxana
Many challenging tasks such as managing traffic systems, electricity grids, or supply chains involve complex decision-making processes that must balance multiple conflicting objectives and coordinate the actions of various independent decision-makers
Externí odkaz:
http://arxiv.org/abs/2407.16312
Spiking Neural Networks (SNN). SNNs are based on a more biologically inspired approach than usual artificial neural networks. Such models are characterized by complex dynamics between neurons and spikes. These are very sensitive to the hyperparameter
Externí odkaz:
http://arxiv.org/abs/2403.00450
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:
Talbi, El-Ghazali
Many real world optimization problems are formulated as mixed-variable optimization problems (MVOPs) which involve both continuous and discrete variables. MVOPs including dimensional variables are characterized by a variable-size search space. Depend
Externí odkaz:
http://arxiv.org/abs/2401.03880
Autor:
Jamshed, Kamran, author, Shah, Syed Haider Ali, author, Jebli, Fedwa, author, Al-Ghazali, Basheer M., author
Publikováno v:
The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Multi-objective reinforcement learning (MORL) extends traditional RL by seeking policies making different compromises among conflicting objectives. The recent surge of interest in MORL has led to diverse studies and solving methods, often drawing fro
Externí odkaz:
http://arxiv.org/abs/2311.12495
Reinforcement learning (RL) has emerged as a powerful approach for tackling complex problems. The recent introduction of multi-objective reinforcement learning (MORL) has further expanded the scope of RL by enabling agents to make trade-offs among mu
Externí odkaz:
http://arxiv.org/abs/2310.16487
Autor:
Ghazali, Rana, Down, Douglas G.
Nowadays distributed computing environments, large amounts of data are generated from different resources with a high velocity, rendering the data difficult to capture, manage, and process within existing relational databases. Hadoop is a tool to sto
Externí odkaz:
http://arxiv.org/abs/2310.14951
Publikováno v:
Studies in Economics and Finance, 2024, Vol. 41, Issue 4, pp. 845-870.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/SEF-11-2023-0692
Modern applications can generate a large amount of data from different sources with high velocity, a combination that is difficult to store and process via traditional tools. Hadoop is one framework that is used for the parallel processing of a large
Externí odkaz:
http://arxiv.org/abs/2309.16471