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Speech emotion detection using supervised, unsupervised and feature selection algorithms
(BRAC University, 2019-04)
A tremendous research is being done on Speech Emotion Recognition (SER) in the
recent years with its main motto to improve human machine interaction. In this
thesis work,we have introduced a scheme for emotion recognition ...
Federated ensemble-learning for transport mode detection in vehicular edge network
(Brac University, 2023-01)
Transport Mode detection has become a crucial part of Intelligent Transportation
Systems (ITS) and Traffic Management Systems due to the recent advancements in
Artificial Intelligent (AI) and the Internet of Things (IoT). ...
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 ...
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 ...
Best feature selection and data visualization for breast cancer prediction
(Brac University, 2019-09)
Breast cancer (BC) is one of the most common cancers among women worldwide,
representing the majority of new cancer cases and cancer-related deaths according
to global statistics, making it a signifcant public health ...