| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2026 | J | jnl |
Health Inf. Sci. Syst.
|
| 2026 | J | jnl |
FedLBW: A loss-based weighting strategy for federated learning on non-IID data in wireless networks.
Expert Syst. Appl.
|
| 2026 | J | jnl |
IEEE Access
|
| 2024 | J | jnl |
J. King Saud Univ. Comput. Inf. Sci.
|
| 2024 | J | jnl |
Multim. Tools Appl.
|
| 2024 | J | jnl |
Knowl. Inf. Syst.
|
| 2024 | J | jnl |
Evol. Syst.
|
| 2024 | J | jnl |
Multim. Tools Appl.
|
| 2023 | J | jnl |
J. Supercomput.
|
| 2023 | J | jnl |
Evol. Syst.
|
| 2023 | J | jnl |
J. Supercomput.
|
| 2023 | J | jnl |
IEEE Internet Things J.
|
| 2023 | J | jnl |
J. Supercomput.
|
| 2021 | — | conf |
MIND
|
| 2021 | — | conf |
ICCCNT
|
| 2021 | — | conf |
ICCCNT
|
| 2021 | — | conf |
MIND
|