Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
मुख्य लेखकों: | Alam, Salman, Oni, Atquiya Labiba, Samir, Jubair, Hossain, Asif Mosharrof |
---|---|
अन्य लेखक: | Alam, Md.Golam Rabiul |
स्वरूप: | थीसिस |
भाषा: | English |
प्रकाशित: |
Brac University
2023
|
विषय: | |
ऑनलाइन पहुंच: | http://hdl.handle.net/10361/21953 |
समान संसाधन
-
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network
द्वारा: Zaman, Sara Milham, और अन्य
प्रकाशित: (2023) -
Malicious data classification in packet data network through hybrid meta deep learning
द्वारा: Tapu, Sakib Uddin, और अन्य
प्रकाशित: (2023) -
One voice is all you need: a one-shot approach to recognize you
द्वारा: Dipto, Shahriar Rumi, और अन्य
प्रकाशित: (2022) -
A secured federated learning system leveraging confidence score to identify retinal disease
द्वारा: Eshan, M Sakib Osman, और अन्य
प्रकाशित: (2023) -
Fortifying federated learning: security against model poisoning attacks
द्वारा: Anan, Fabiha, और अन्य
प्रकाशित: (2024)