Deep learning based predictive analytics for decentralized content caching in hierarchical edge networks
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
| Main Authors: | Chakraborty, Dhruba, Rabbi, Mahima, Hossain, Maisha, Khaled, Saraf Noor, Oishi, Maria Khanom |
|---|---|
| Other Authors: | Alam, Md. Golam Rabiul |
| Format: | Thesis |
| Language: | English |
| Published: |
Brac University
2022
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10361/17045 |
Similar Items
-
LSTM based content prediction for edge caching using federated learning approach
by: Mazumder, Shafkat Ahmed, et al.
Published: (2021) -
Silent voice: harnessing deep learning for lip-reading in Bangla
by: Shaheen, Munia, et al.
Published: (2024) -
Intracranial hemorrhage detection using CNN-LSTM fusion model
by: Ahmed, Kazi sabab, et al.
Published: (2022) -
A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
by: Ahmed, Istiak, et al.
Published: (2023) -
Leveraging sequential deep learning models for detecting multitude of human action categories
by: Pranta, Kazi Al Refat, et al.
Published: (2024)