E-LIB Suche - Ergebnisse für: SAMI, Hani

1

LearnChain: Transparent and cooperative reinforcement learn..:

Sami, Hani ; Mizouni, Rabeb ; Otrok, Hadi...
Future Generation Computer Systems. 150 (2024) - p. 255-271 , 2024

Link: https://doi.org/10.1016/..

2

CRSFL: Cluster-based resource-aware split federated learnin..:

Wazzeh, Mohamad ; Arafeh, Mohamad ; Sami, Hani...
Journal of Network and Computer Applications. , 2024

Link: https://doi.org/10.1016/..

3

On-Demand-FL: A Dynamic and Efficient Multicriteria Federat..:

Chahoud, Mario ; Sami, Hani ; Mourad, Azzam...
IEEE Internet of Things Journal. 10 (2023) 18 - p. 15822-15834 , 2023

Link: https://doi.org/10.1109/..

4

Reinforcement Learning Framework for Server Placement and W..:

Mazloomi, Anahita ; Sami, Hani ; Bentahar, Jamal..
IEEE Internet of Things Journal. 10 (2023) 2 - p. 1376-1390 , 2023

Link: https://doi.org/10.1109/..

5

Reward shaping using convolutional neural network:

Sami, Hani ; Otrok, Hadi ; Bentahar, Jamal..
Information Sciences. 648 (2023) - p. 119481 , 2023

Link: https://doi.org/10.1016/..

6

Towards On-Demand Deployment of Multiple Clients and Hetero..:

, In: 2023 International Wireless Communications and Mobile Computing (IWCMC),

Chahoud, Mario ; Sami, Hani ; Mourad, Azzam... - p. 1556-1561 , 2023

Link: https://doi.org/10.1109/..

7

Opportunistic UAV Deployment for Intelligent On-Demand IoV ..:

Sami, Hani ; Saado, Reem ; Saoudi, Ahmad El...
IEEE Transactions on Network and Service Management. 20 (2023) 3 - p. 3428-3442 , 2023

Link: https://doi.org/10.1109/..

8

Demand-Driven Deep Reinforcement Learning for Scalable Fog ..:

Sami, Hani ; Mourad, Azzam ; Otrok, Hadi.
IEEE Transactions on Services Computing. 15 (2022) 5 - p. 2671-2684 , 2022

Link: https://doi.org/10.1109/..

9

Graph convolutional recurrent networks for reward shaping i..:

Sami, Hani ; Bentahar, Jamal ; Mourad, Azzam..
Information Sciences. 608 (2022) - p. 63-80 , 2022

Link: https://doi.org/10.1016/..

10

FScaler: Automatic Resource Scaling of Containers in Fog Cl..:

, In: 2020 International Wireless Communications and Mobile Computing (IWCMC),

Sami, Hani ; Mourad, Azzam ; Otrok, Hadi. - p. 1824-1829 , 2020

Link: https://doi.org/10.1109/..

11

AI, Blockchain, and Vehicular Edge Computing for Smart and ..:

Hammoud, Ahmad ; Sami, Hani ; Mourad, Azzam...
IEEE Internet of Things Magazine. 3 (2020) 2 - p. 68-73 , 2020

Link: https://doi.org/10.1109/..

12

Vehicular-OBUs-As-On-Demand-Fogs: Resource and Context Awar..:

Sami, Hani ; Mourad, Azzam ; El-Hajj, Wassim
IEEE/ACM Transactions on Networking. 28 (2020) 2 - p. 778-790 , 2020

Link: https://doi.org/10.1109/..

13

Reinforcement R-learning model for time scheduling of on-de..:

Farhat, Peter ; Sami, Hani ; Mourad, Azzam
The Journal of Supercomputing. 76 (2019) 1 - p. 388-410 , 2019

Link: https://doi.org/10.1007/..

14

Towards Dynamic On-Demand Fog Computing Formation Based On ..:

, In: 2018 International Conference on Computational Science and Computational Intelligence (CSCI),

Sami, Hani ; Mourad, Azzam - p. 960-965 , 2018

Link: https://doi.org/10.1109/..

15

High‐resolution CT pulmonary findings in idiopathic ankylos..:

ZAKI, Samia ; EL‐HADIDI, Khaled ; SAMI, Hani.
APLAR Journal of Rheumatology. 10 (2007) 2 - p. 130-136 , 2007

Link: https://doi.org/10.1111/..