3 天前 - … Therefore, until now these deep learning models have been designed using ad-hoc
approaches. In this work, we propose a method for determining the contribution of different …

4 天前 - … algorithms, and quantum machine learning algorithms. In … Specifically,
quantum-classical machine learning and … quantum-inspired machine learning algorithms and …

5 天前 - … are often developed in an ad hoc manner, leading to a limited understanding of
interaction effects and model behavior under various conditions. Machine learning (ML) and …

5 天前 - … It is critical to identify attacks in Vehicle Ad-hoc Networks (VANETs) in order to
provide more dependable and safe communication amongst all of the system’s cars. One of the …

6 天前 - … Particularly, our procedure significantly reduces the computational effort associated
with traditional transition state calculations or ad-hoc designed interatomic potentials. The …

6 天前 - … machine learning in VANETs raise concerns about data privacy and security.
Federated Learning (… aim to ensure secure learning (FL) in vehicular ad hoc networks (VANETs), …

7 天前 - … Systems are implemented globally, vehicular ad hoc networks (VANETs) are …
incorporating Artificial Intelligence (AI) and Machine Learning (ML) algorithms into UAV-…

7 天前 - … In this paper, the authors present a ranking approach, based on Machine Learning
(ML) algorithms for pairwise comparisons, coupled with ad hoc ranking rules. The case …

10 天前 - … Machine learning (ML) has revolutionized a wide range of fields with its capacity to
… employed in practice remains largely manual or ad-hoc, while automated methods often fall …

10 天前 - … [30] propose an ensemble-based machine learning approach for detecting
misbehaviors in Vehicular Ad Hoc Networks (VANETs), a critical aspect given the potential safety …