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Leveraging robust CNN architectures for real-time object recognition from conveyor belt
(Brac University, 2023-01)
In the innovative era, the problem of recognizing undesirable objects and individuals
on conveyor belts is addressed by various architectural or algorithmic approaches.
Conveyor belts are those by which things go in a ...
Exploring Alzheimer's disease prediction with XAI in various neural network models
(Brac University, 2021-10)
Using a number of Neural Network Models, we attempt to explore and explain the
prediction of Alzheimer's in patients in various stages of the disease, using MRI
imaging data. Alzheimer's disease(AD) often described as ...
Explainable breast cancer detection from Histopathology images using transfer learning and XAI
(Brac University, 2023-01)
Nowadays, research on many diseases such as cancer has been ongoing to determine
how to reduce and minimise the effect. There are many characteristics of cancer that
can be identified by their consistent cell proliferation ...
An efficient face recognition model using multiple angular images and deep neural network architecture
(Brac University, 2023-01)
Face surface information in three dimensions is one of the promising biometric
modality that can improve the identification and increase the accuracy of verification
of face recognition systems in challenging situations.This ...
BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
(Brac University, 2022-01)
The art of luring us to click on certain content by exploiting our curiosity is recognized
as clickbait. Clickbait might be aggravating at times because it is misleading.
Several studies have worked on the detection of ...
AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP
(Brac University, 2022-01)
Audiovisual data is the most extensively used and abundantly distributed type of
data on the internet in today’s information and communication age. However, the
necessary audiovisual data is challenging to retrieve because ...
A comparative analysis of the different CNN-LSTM model caption generation of medical images
(Brac University, 2023-05)
The intent of this paper is to make the process of interpreting and understanding
information within ultrasound pictures simpler and quicker by addressing the lack
of techniques for automatically deciphering medical ...
Segmentation based Kidney Tumor Classification using Deep Neural Network
(Brac University, 2022-01)
Kidney disease is one of many severe chronic disease that a person can have. Early
detection of this disease can be pivotal for proper treatment. Different neural net works have proven to be useful in disease prediction ...
Lossless segmentation of Brain Tumors from MRI images using 3D U-Net
(Brac University, 2022-01)
2D computer vision and activities related to medical image analysis are remarkably
guided with the help of Convolutional Neural networks (CNNs) in recent years.
Since a chief portion in the available clinical imaging ...
Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
(Brac University, 2023-01)
The use of machine learning models has greatly enhanced the capability to rec ognize patterns and draw conclusions. However, due to their black-box nature, it
can be difficult to comprehend the factors that affect their ...