Geometric machine learning over riemannian manifolds for wireless link scheduling
R Shelim, AS Ibrahim - IEEE Access, 2022 - ieeexplore.ieee.org
In this paper, we propose two novel geometric machine learning (G-ML) methods for the
wireless link scheduling problem in device-to-device (D2D) networks. In dynamic D2D …
wireless link scheduling problem in device-to-device (D2D) networks. In dynamic D2D …
Reinforcement learning with non-cumulative objective
In reinforcement learning, the objective is almost always defined as a cumulative function
over the rewards along the process. However, there are many optimal control and …
over the rewards along the process. However, there are many optimal control and …
Sequence-to-sequence learning for link-scheduling in D2D communication networks
Abstract Scheduling of Device-to-Device (D2D) links in communication networks
conventionally relies on solving NP-hard combinatorial optimization problems. These types …
conventionally relies on solving NP-hard combinatorial optimization problems. These types …
Density-based anti-clustering for scheduling D2D communications
Wireless link scheduling in device-to-device (D2D) networks is an NP-hard problem. As a
solution, multiple supervised deep learning (DL) models have been recently proposed …
solution, multiple supervised deep learning (DL) models have been recently proposed …
Multi-level Hybrid Clustering Technique to Improve Coverage in Disaster Area Network
B Langpoklakpam, LK Murry - 2023 3rd International …, 2023 - ieeexplore.ieee.org
In the event of disasters, establishing an emergency wireless network plays a significant role
in ensuring effective communication for rescue operations. It is crucial to establish a network …
in ensuring effective communication for rescue operations. It is crucial to establish a network …
[PDF][PDF] Polycopié Pédagogique de Cours du module Intelligence Artificielle
AM Bilal - researchgate.net
-{X, Y, Z,…}: Ensemble des Itemsets-conf (X→ Y): La confiance dans une règle-Support (X→
Y): Support de la règle-Lift: mesure l'amélioration apportée par la règle d'association-ai …
Y): Support de la règle-Lift: mesure l'amélioration apportée par la règle d'association-ai …
[PDF][PDF] Density-Based Spectral Clustering for Scheduling D2d Communications (Dbschedule)
A Elsheikh, AS Ibrahim, MH Ismail - Available at SSRN 4208617 - papers.ssrn.com
Wireless link scheduling in device-to-device (D2D) networks is an NP-hard problem. As a
solution, multiple supervised deep learning (DL) models have been recently proposed …
solution, multiple supervised deep learning (DL) models have been recently proposed …