Search
Now showing items 41-50 of 75
Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
(Brac University, 2022-02)
The current approach to maternal and child healthcare is extremely patient-centred,
it requires costly, risky surveillance and testing before diagnosis besides treatment
accompanied with uncertainty despite the essential ...
Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
(Brac University, 2023-05)
Throughout the world, millions of people and their families are impacted by the
serious illness of cancer. The total number of new cancer cases worldwide in 2020
was predicted to reach 18.1 million. Serious emotional ...
Predicting obesity: a comparative analysis of machine learning models incorporating different features
(Brac University, 2023-05)
Obesity, the excessive accumulation of body fat, is a significant health risk associated
with various detrimental impacts, including the development of chronic diseases,
metabolic abnormalities, joint problems, sleep ...
Classifying insect pests from image data using deep learning
(Brac University, 2022-01)
The fact that insecticidal pests impair significant agricultural productivity has become
one of the main challenges in agriculture. There are, nevertheless, several
requirements for a high-performing automated system ...
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 ...