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Now showing items 21-30 of 152
Computer vision-based Bengali sign language to text generation
(Brac University, 2022-01)
In the whole world, around 7% of people have hearing and speech impairment problems.
They use sign language as their communication method. People from various
countries use a variety of sign languages. As an example, ...
Urban sound classification using convolutional Neural Network and long short term memory based on multiple features
(Brac University, 2020-04)
There are many sounds all around us and our brain can easily and clearly identify
them. Furthermore, our brain processes the received sound signals continuously and
provides us with relevant environmental knowledge. ...
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 ...
Bangla speech isolation from noisy auditory environment using convolutional neural network
(Brac University, 2023-01)
In recent years, the primary solution to sound enhancement has gained popularity.
There is a rich research contribution from academia and industry to remove noise
and enhance sound quality. With the advance in machine ...
Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)
Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the
strongest of souls. The disease is often thought of as untreatable and unbearably
painful, with usually, no cure available. Among all the ...
Sound classification using deep learning for hard of hearing and deaf people
(Brac University, 2022-01)
Our paper mainly focuses on developing an audio classification for people, who
cannot hear properly, using Convolutional Neural Network (CNN) and Recurrent
Neural Network (RNN). One of the many prevalent complaints from ...
Tomato leaf disease detection using convolutional neural network
(Brac University, 2023-01)
The fertile soil and easy access to water make agriculture more suitable and valu able for Bangladesh. Most people are directly or indirectly dependent on agricultural
products for their livelihood. Agriculture plays an ...
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 ...
Comparison of deep transfer learning models for cancer diagnosis
(Brac University, 2022-05)
Cancer is known to be one of the most lethal diseases among all the diseases in
the world. It is clinically known as ’Malignant Neoplasm which is a vast group
of diseases that encompasses unmonitored cell expansion. It ...