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DenseNet based skin lesion classification and melanoma detection
(Brac University, 2021-06)
In the language of medical science, the most harmful variant of skin cancer that
may develop in human cells is distinguished as melanoma. The principal reasons
behind developing melanoma in human skin are still unknown. ...
Visual object classification from fMRI data
(Brac University, 2022-01)
Computing devices were once limited in just calculating arithmetic. Whereas, in
modern computing, complex task like object classi cation or recognition has become
so popular that even our smart devices cannot be thought ...
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 ...
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
(Brac University, 2021-09)
Color vision approach using auto encoded technique is an effective way to detect
objects. This approach considers various factors like movement detection, size and
shape detection, color detection etc. Here we have ...
Fake profile detection in social media using image processing and machine learning
(Brac University, 2021-06)
Almost everybody has a social media presence in today’s technologically advanced
world. As a result, making fake accounts is very easy. The term ”fake profile”
refers to a person who may pretend to be someone else. These ...
6LoWPAN based smart home architecture for the smart future
(Brac University, 2020-04)
6LoWPAN is an emerging area of research. It helps to extend network architecture
for WSN which allows end-to-end connectivity between a 6LoWPAN node and
any IP devices of the network. To make a low power consumption mesh ...
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, ...
Early Schizophrenia Diagnosis with 3D Convolutional Neural Network
(Brac University, 2021-06)
The proper prediction of schizophrenia at an early stage can be very beneficial to those
who are at risk of developing it at a severe stage later on. The early signs of schizophrenia
include extreme reaction to criticism, ...
Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
(Brac University, 2022-09)
Federated Learning (FL) is a distributed machine learning approach that can de velop a global or customized model from scattered datasets on edge devices using
federated datasets. ‘Federated GAN Based Biomedical Image ...
Internship as a Business Analyst and Product Manager at SELISE Digital Platforms
(Brac University, 2022-05)
In this era of eCommerce and online shopping, every company needs to have an
operational digital work process. The operation is usually completed by a Front
End and Back End support. Therefore, only having a static ...