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A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
(Brac University, 2023-04)
Nowadays, social networking sites like Facebook and Twitter have become an sig-
nificant impact on our lives . We use such sites to remain in touch with one another
and as a source of news to stay informed about current ...
KDANet: optical recognition for Bangla language using deep neural networks
(Brac University, 2022-05)
When images of printed or handwritten are converted; be it mechanically or electronically to an
editable text format, this is called optical character recognition. Bangla is one of the most complex
languages as it has ...
Automatic waste classification using deep learning and computer vision techniques
(Brac University, 2023-03)
Waste management refers to a system that starts with classifying different kinds of
waste and gradually managing it from its inception to its final disposal. Labeling
waste in a proper manner can ensure the best outcome ...
Skin cancer detection and classification using multiple optimized deep convolutional neural network
(Brac University, 2022-05)
This work tries to detect skin cancer and classify its type using datasets containing
labeled images and classes, using pre-trained CNN models and merged
pre-trained CNN models. Skin cancer is an abnormal growth of skin ...
Homomorphic encryption on deep learning in accurate prediction of brain tumour
(Brac University, 2023-01)
The brain is the most complicated organ that manages every bodily function as well
including intellect, memory, emotion, taste, motor skills, vision, respiration, temperature,
and appetite. Any type of disease or damage ...
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
(Brac University, 2023-01)
Neurodegenerative disorders are diagnosed through undergoing brain MRI, CT scans, genetic testing, and various laboratory screening tests which are often tedious, time consuming and beyond the means of most people’s financial ...
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 ...
Interpretable credit card fraud detection using deep learning leveraging XAI
(Brac University, 2022-09)
Due to the internet's widespread accessibility, more and more businesses are bringing
their offerings online. Besides, because of the growth of E-commerce websites, both
individuals and businesses that deal in finances ...
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 ...
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)
Skin diseases represent a significant global health concern, and prompt and pre-
cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks
(CNNs), in particular, have shown tremendous promise in ...