Analyzing the security of e-Health data based on a hybrid federated learning model
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
मुख्य लेखकों: | Shafin, Md. Mehtabul Islam, Akhter, Sabrin, Hasan, Mohammad Shafkat, Nasimuzzaman, Md., Prithul, Tamzeedur Rahman |
---|---|
अन्य लेखक: | Zaman, Shakila |
स्वरूप: | थीसिस |
भाषा: | English |
प्रकाशित: |
Brac University
2023
|
विषय: | |
ऑनलाइन पहुंच: | http://hdl.handle.net/10361/19294 |
समान संसाधन
-
eHealth research, theory, development : multi-disciplinary approach /
प्रकाशित: (2018) -
A machine learning approach to analyze and predict rainfall in different regions of Bangladesh
द्वारा: Rahee, Arnob, और अन्य
प्रकाशित: (2021) -
A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
द्वारा: Chowdhury, Asif Hasan, और अन्य
प्रकाशित: (2023) -
A supervised learning approach by machine learning and deep learning algorithms to predict type II DM risk
द्वारा: Farabe, Abdullah Al, और अन्य
प्रकाशित: (2021) -
Heart disease prediction system
द्वारा: Amit, Tayab Al Azad, और अन्य
प्रकाशित: (2022)