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Now showing items 11-20 of 26
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)
In the current age of social media, information spreads like wildfire. Unfortunately,
this also means that misinformation or rumors can spread easily. The spread of this
misinformation can have negative consequences for ...
Identifying Bangla deceptive news using machine learning and deep learning algorithms
(Brac University, 2023-05)
Internet-based resources are utilized by the vast majority of individuals today. The
news published on websites and shared on social media platforms are examples of
such resources. Due to the increasing number of content ...
A comparative study of lung cancer prediction using deep learning
(Brac University, 2022-09)
At the point when cells in the body develop out of control, this is alluded to as
cancerous development. Lung cancer is the term used to depict cancer that starts
in the lungs. At first in the field, classifier-based ...
Analyzing optimization landscape of recent policy optimization methods in deep RL
(Brac University, 2022-05)
In this work we will analyze control variates and baselines in policy optimization
methods in deep reinforcement learning (RL). Recently there has been a lot of
progress in policy gradient methods in deep RL, where ...
An advanced hospital rating system using machine learning and natural language processing
(Brac University, 2023-05)
Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately,
there is no reliable metric or resource available online to determine which hospital
is better. Patients and their peers often find it ...
RetinalNet-500: a newly developed CNN model for eye disease detection
(Brac University, 2022-05)
Fundus images are commonly used by medical experts like ophthalmologists, which
are very helpful in detecting various retinal disorders. They used this to diagnose
the different types of eye diseases like Cataracts, ...
Demand forecasting on supply chain using ML and NN
(Brac University, 2022-05)
Demand forecasting is mainly a process whereby analyzing historical sales data,
strategic and operational strategies are devised in order to estimate customer demand.
One of the most fundamental aspects of supply chain ...
Automated image caption generator in Bangla using multimodal learning
(Brac University, 2023-01)
Experiencing an image on-screen is a privilege that we often seem not to care about.
A visually impaired person does not have that luxury. A system that can automatically
produce closed captions of an image can thus help ...
Yoga posture recognition using the deep learning process
(Brac University, 2022-05)
Yoga is one of the best activities from home to preserve our physical condition in
the present epidemic. Yoga, on the other hand, is all about performing the 82
Yoga Asanas correctly over the course of six classes. ...
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 ...