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Now showing items 201-210 of 320
Automation requirements engineering using machine learning
(Brac University, 2021-09)
Machine learning algorithms help to automate the process in many di erent problem
domains. In the eld of Software engineering. Requirement engineering is one of the
rst stages of software development. This research ...
Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
(Brac University, 2021)
Image segmentation is a fundamental section of the current healthcare system to segment and
detect diseases such as disease of the lung (pneumothorax), cancer, diabetic retinopathy, dengue,
malaria, heart disease, ...
Fighting depression: psychological approaches among Bangladeshi university students
(Brac University, 2022-05)
In recent years, mental health deterioration cases have increased exponentially indicates
that this issue needs our attention. Stressful situations of our daily life such as
excessive study load, relationship predicaments, ...
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network
(Brac University, 2023-01)
Detailed Fingerprint investigation has been a dominant law enforcement tool which
is utilized to distinguish suspects, settle crimes and violations for over 100 years.
Moreover, gender classification from fingerprints ...
Brain tumor detection through image processing
(Brac University, 2021-01)
Begin with image processing for technology to detect brain tumors. I.e. (The identification of tumor/cancer cells from brain images is primarily based on image recognition methods, since these images are complex and human ...
What is relevant in a text document a machine learning based approach
(Brac University, 2021-06)
Text Documents often contain valuable data. But not all data is relevant. That is
why extracting relevant data from text documents is an essential task. Extracting
relevant data from text documents refers to the study ...
Comparison of machine learning techniques to predict cardiovascular disease
(BRAC University, 2018-12)
The purpose of this thesis is to examine and compare the accuracy of different
data mining classication systems through different machine learning techniques
to predict cardiovascular disease. This comparison shows the ...
Sentiment analysis in Bengali Text using NLP
(Brac University, 2023-01)
Natural Language Processing, a branch of AI, teaches computers to understand
speech and text in multiple languages. Machine learning or deep learning techniques
can be used to develop rule-based models of human-spoken ...
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
(Brac University, 2022-01)
The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can
easily and smoothly stitch anyone into any digital media where they never took part in
reality. The key components of deepfake are ...
Deep convolutional GAN-based data augmentation for medical image classification
(Brac University, 2022-01)
The field of medical imaging is rapidly growing with the help of machine learning, yet
the problem of scarcity in labeled medical imaging still remains. Therefore training a
machine learning model for medical image ...