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Now showing items 11-20 of 65
Estimating flood susceptibility of Bangladesh in the future year using machine learning
(Brac University, 2021-06)
Being a riverine country with more than 400 rivers, flood is a common phenomenon
for Bangladesh. As, the land is less than five meters above sea level, and also
due to heavy rainfall during monsoon season, it makes the ...
Prediction and detection in change of cognitive load for VIP’s by a machine learning approach
(Brac University, 2021-06)
The significance and urgency of detecting cognitive load of Visually Impaired Person is essential when perception comes while designing an automated navigation
aid for them in unfamiliar indoor environments.Our paper ...
Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
(Brac University, 2021-06)
Bangladesh, being an Agro-Economy based country, is lacking the technological improvements regarding Supply-Demand ratio of Food Supply to the citizens. Since the
recent price hike of onions in 2019, it is evident that ...
Gene expression analysis using machine learning
(Brac University, 2021-01)
Cancer is a multifactorial disorder that occurs due to the complex interaction between the environment and gene. The susceptibility of a person to cancer depends on his genetic build-up. Recently, the study of genomes in ...
Implementing a recommender system for Bangladeshi faculty search using machine learning
(Brac University, 2019-12)
Machine learning is a one of the popular fields in Computer Science. In my thesis
research the focus is to implement a recommender system for Bangladeshi faculty
search. Selecting a appropriate faculty or thesis supervisor ...
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
(Brac University, 2022-05)
The internet of things is one of today’s most revolutionary technologies. Because
of its pervasiveness, increasing network connection capacity, and diversity of linked
items, the internet of things (IoT) is adaptable and ...
Cardiovascular disease prediction model using Machine Learning Algorithm
(Brac University, 2022-09)
This research uses machine learning to anticipate and detect the symptoms of specific diseases after examining some of the important elements of these diseases in
order to better understand them and develop new and better ...
A descriptive study on development of a transfer learning based fault detection model using 2D CNN for air compressors
(Brac University, 2021-06)
Fault Detection is essential for the safe and efficient operation of industrial manufacturing. Successful detection of fault features allows us to maintain a stableproduc- tion
line. Therefore, establishing a reliable and ...
Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
(Brac University, 2022-05)
Autonomous vehicles [AVs] are the future of transportation and they are likely to
bring countless benefits compared to human-operated driving. However, there are
still a lot of advances yet to be made before these vehicles ...
Detecting online recruitment fraud by using machine learning
(Brac University, 2021-01)
Online Recruitment fraud (ORF) is becoming an important issue in the cyber-crime
region. Companies find it easier to hire people with the help of the internet rather
than the old traditional way. But it has greatly ...