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Economic crisis prediction due to pandemic outbreak using machine learning
(Brac University, 2021-06)
Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ...
Machine learning-based approach on predicting online shopping addiction using EEG signals
(Brac University, 2022-05-24)
According to experts, shopping addiction is often a coping mechanism for those who are experiencing mental pain. As a result, to research online shopping addiction, researchers must look at changes in brain activity during ...
A counseling system to predict the study path for freshmen
(BRAC University, 2019-04)
Now a days, dilemma related to one's career has been considered as a serious issue,
specially among fresh graduates. Starting at the age of 18, the students usually fail
to grasp the idea of which career path to pursue ...
Modelling and forecasting energy demand of Bangladesh using AI based algorithms
(Brac University, 2019-04)
Bangladesh being one of the ve fastest growing economies in the world with its
enormous 164.7 million population is facing a huge challenge of adapting to the
surging demand of electricity rising throughout the country ...
Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
(Brac University, 2021-09)
Agriculture has been the driving force of the Bangladesh economy. In the agricultural sector,
farmers are largely incapable of using scientific technology to maximize crop yield and identify
which crops can be grown in ...
A hybrid rumor detection model derived from a comparative study of supervised approaches
(Brac University, 2023-01)
In the current age of social media, information spreads like wildfire. Unfortunately,
this also means that misinformation or rumors can spread easily. The spread of this
misinformation can have negative consequences for ...
Detecting Adverse Drug Reaction (ADR) with data mining and predicting its intensity with machine learning
(BRAC University, 2018-07)
Adverse Drug Reaction (ADR) is one of the many uncertainties which are considered as a fatal threat in the field of pharmacy and medical diagnosis. Utmost care is taken to test a new drug thoroughly before it is introduced ...
Analyzing the security of e-Health data based on a hybrid federated learning model
(Brac University, 2023-01)
This research aims to provide an approach for analyzing the security of the e-health
care system through the use of federated learning and the pre-processing of distinct
deep learning models. The infrastructure for ...
A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
(Brac University, 2023-01)
In this research, we propose a hybrid model for predicting suicide risk from text
data that incorporates BERT, VADER, and a Random Forest classifier for sentiment
analysis. This model aims to identify individuals who may ...
Early detection of breast cancer using machine learning
(Brac University, 2018-12)
Breast cancer is the most common cancer among women but in can occur in both the genders.
It is accountable for an appalling number of deaths worldwide. In a particularly low-resource
developing country like Bangladesh, ...