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Now showing items 41-50 of 70
Detecting Deepfake images using deep convolutional neural network
(Brac University, 2021-09)
In recent years, advancement in the realm of machine learning has introduced a
feature known as Deepfake pictures, which allows users to substitute a genuine face
with a fake one that seems real. As a result, distinguishing ...
Ripple down rule based decision intelligence for mental disorder diagnosis
(Brac University, 2023-01)
Ripple Down Rule (RDR), a rule-based incremental system, enables knowledge acquisition from human experts to knowledge-based systems (KBS). The majority of modern decision intelligence systems rely on machine learning ...
A secured federated learning system leveraging confidence score to identify retinal disease
(Brac University, 2023-05)
Federated learning is a distributed machine learning paradigm that enables multiple
clients to collaboratively train a global model without sharing their local data. How-
ever, federated learning is vulnerable to adversarial ...
Predicting regional accents of Bengali language using deep learning
(Brac University, 2021-09)
Accent is a huge challenge in communication for all languages. Different people
who speak the same language might pronounce the same word differently. In a
conversation, if two people are from different regions and they ...
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
(Brac University, 2022-01)
The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can
easily and smoothly stitch anyone into any digital media where they never took part in
reality. The key components of deepfake are ...
Evaluating the effectiveness of CNN-based models for diabetic retinopathy detection
(Brac University, 2023-06)
One of the known eye conditions that affect human retinal blood vessels is diabetic
retinopathy (DR). People with diabetes are typically at significantly increased risk
for this. The blood vessels in the retina are damaged ...
An interpretable transformer based approach to classify Malaria from blood cell images
(Brac University, 2023-01)
Malaria is a disease that can be fatal, and it is spread through the bite of the female
Anopheles mosquito. The life of the sufferer is put in jeopardy as a result of the pres ence of numerous plasmodium parasites, which ...
Obscure face recognition using deep neural networks
(Brac University, 2023-06)
One of the most effective biometric tools for securing diverse systems is facial recog-
nition technology. Traditional security mechanisms like PINs, passwords, and fin-
gerprints have shown to be less effective and ...
Intelligent assisted living in pregnancy
(Brac University, 2022-01)
Pregnancy period has always been the most sensitive and tenacious phase for the
mothers to go through. Despite living in this modern world, it is still difficult
to fight with the distress and complications of pregnancy, ...
Research on the latest trends in Bangla named entity recognition
(Brac University, 2023-05)
Named Entity Recognition (NER) is a sub-task of Natural Language Processing (NLP) that distinguishes entities from unorganized text into predefined categorization. In recent years, a lot of Bangla NLP subtasks have received ...