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Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network
(Brac University, 2023-01)
Although smartphones have already become the de facto tool for environmental
health research for their ubiquity and portability, utilizing them in finding location specific aggregated air quality index based on PM2.5 ...
An interpretable deep learning approach to detect Alzheimer using MRI images
(Brac University, 2023-01)
Alzheimer’s disease (AD) is a serious neurological condition that causes loss of long term memory, cognitive difficulties, disorientation, inconsistent behavior, and even tually death. Also, AD is caused by the destruction ...
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 ...
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 ...
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 ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
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 ...
Autism detection based on MRI images using Deep Learning
(Brac University, 2023-01)
Autism spectrum disorder (ASD) is a neuro dysfunction or neurodevelopmental
disorder. This causes a patient to have trouble with social interaction which causes
social instability. It also causes speech problems or ...
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 ...