Implementation of real-time learning on homomorphically encrypted visual inputs
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Główni autorzy: | Bhuiyan, Emtiaz MD Tafsir, Rahman, Mushfiqur, Mondal, Sudipta, Warech, Sadman |
---|---|
Kolejni autorzy: | Hossain, Muhammad Iqbal |
Format: | Praca dyplomowa |
Język: | English |
Wydane: |
Brac University
2021
|
Hasła przedmiotowe: | |
Dostęp online: | http://hdl.handle.net/10361/14982 |
Podobne zapisy
-
Traffic congestion reduction in SUMO using reinforcement learning method
od: Mouly, Radia Rahman, i wsp.
Wydane: (2021) -
Reinforcement learning based autonomous vehicle for exploration and exploitation of undiscovered track
od: Issa, Razin Bin, i wsp.
Wydane: (2020) -
Implementation of reinforcement learning architecture to augment an AI that can self-learn to play video games
od: Mahmud, Aqil, i wsp.
Wydane: (2023) -
An advanced data fabric architecture leveraging homomorphic encryption and federated learning
od: Rieyan, Sakib Anwar, i wsp.
Wydane: (2023) -
Enhancing object clarity in single channel night vision images using deep reinforcement learning
od: Hossain, Adil, i wsp.
Wydane: (2021)