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Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
(Brac University, 2021-01)
The rate of population growth of southern Asia is rising dramatically. As a part of
this area, Bangladesh is no different. Moreover, the cultivable lands are declining at
a huge rate. So to maintain the balance between ...
Health monitoring IoT device with risk prediction using cloud computing and machine learning
(Brac University, 2020-04)
Health issues often stay hidden due to not having regular health checkups. Sometimes
these issues build-up to a signi cant health hazard which stays hidden until
it's often too late. So we came up with a series of ideas ...
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 ...
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 ...
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 ...
SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
(Brac University, 2021-01)
Importance of cyber-security in protecting our valuable data and information is huge in this era of technology. Since numerous amounts of
cyber-attacks take place every day, the development of a more secured
system so ...
Analysis of the impact of online education using EEG signals and machine learning algorithms
(Brac University, 2021-01)
Online learning has allowed students from different walks of life to access a vast
amount of information, allowing them to gain new skills. However, only having
access to that information does not mean that the students ...
Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
(Brac University, 2021-09)
eep learning, a cutting-edge machine learning technique, has outperformed classical machine learning at detecting detailed structures in complex multi-dimensional
data, particularly in the field of computer vision. As ...