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Shebnam M. Sefat
Observed name:
S.M. Sefat
Institutions:
Sultan Idris Education University,
Independent University, Bangladesh,
Islamic University of Najaf
Observed institutions:
Sultan Idris Education University,
Independent University, Bangladesh,
Arba Minch University,
Islamic University of Najaf
ORCID:
0000-0001-5083-4183
Observed ORCID:
0000-0001-5083-4183
OpenAlex ID:
A5008033583
RETRACTED ARTICLE: Energy efficient IRS assisted 6G network for Industry 5.0
2023
·
Ashu Taneja
, Shalli Rani
, et al.
·
Scientific Reports
·
21
PDF
RETRACTED: An efficient algorithm for energy harvesting in IIoT based on machine learning and swarm intelligence
2023
·
Peizhen Xing
, Hui Zhang
, et al.
·
Heliyon
·
5
PDF
Optical Neural Networks: Analysis and Prospects for 5G Applications
2023
·
Doaa Sami Khafaga
, Zongming Lv
, et al.
·
Computers, materials & continua/Computers, materials & continua (Print)
·
3
PDF
An Optimal SDN-Based Wavelength Allocation and Routing Method for 5G Network
2022
·
Hui Zhou
, Zhong Tian
, et al.
·
Mobile Information Systems
·
2
PDF
An optimal algorithm for mmWave 5G wireless networks based on neural network
2023
·
Liang Chen
, Shebnam M. Sefat
, et al.
·
Heliyon
·
1
PDF
ExplainNet: A Hybrid Visual-Linguistic Model for Human-Centered Autism Diagnosis
2025
·
S.M. Sefat
, Muhamad Hariz Bin Muhamad Adnan
, et al.
·
IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
Retraction notice to "An efficient algorithm for energy harvesting in IIoT based on machine learning and swarm intelligence" [Heliyon 9 (2023) e17622]
2025
·
Peizhen Xing
, Hui Zhang
, et al.
·
Heliyon
PDF
A Novel Security Defense and Economic Assessment Algorithm for mmWave‐Vehicular Network Based on Deep Reinforcement Learning
2025
·
Juan Zhang
, Kholod D. Alsufiani
, et al.
·
IET Information Security
PDF
Retraction Note: Energy efficient IRS assisted 6G network for Industry 5.0
2024
·
Ashu Taneja
, Shalli Rani
, et al.
·
Scientific Reports
PDF
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Works count:
9
Citation count:
32
H-index:
3
I10-index:
1
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