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Now showing items 51-60 of 78
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 ...
A novel approach to reduce air pollution through machine learning based PM2.5 prediction
(Brac University, 2022-05-24)
AI (Artificial Intelligence) is one of the most fascinating subjects for computer scientists in this century. It is a technology that helps a machine to do tasks by itself which needs human intelligence. This technology ...
An efficient facial expression recognition method using mean And standard deviation
(BRAC University, 8/21/2017)
Facial Expression gives vital information about emotion of human being. It is really a speedily growing and an ever green research field in the sector of computer vision, artificial intelligence and automation. If we talk ...
Personalization in federated recommendation system using SVD++ with explainability
(Brac University, 2022-01)
Large-scale distributed Artificial Intelligence (AI) systems are getting more widespread
as traditional AI applications require centralizing large amounts of data for training
models, posing privacy and security risks. ...
A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning
(Brac University, 2022-01)
Recruitment is a crucial task for Human Resource Management (HRM) and determines
the creation of a competent workforce that eventually brings tangible and
intangible benefits for companies. Employees are key elements in ...
Exploring Alzheimer's disease prediction with XAI in various neural network models
(Brac University, 2021-10)
Using a number of Neural Network Models, we attempt to explore and explain the
prediction of Alzheimer's in patients in various stages of the disease, using MRI
imaging data. Alzheimer's disease(AD) often described as ...
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)
Colon cancer is one the most prominent and daunting life threatening illnesses in
the world. Histopathological diagnosis is one of the most important factors in determining
cancer type. The current study aims to create ...