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Forecasting market movement in Dhaka Stock Exchange: LSTM vs. ARIMA
(Brac University, 2019-04)
This paper creates and examines the performance of LSTM models against ARIMA models,
using Dhaka Stock Exchange data from beginning of 2000 to the beginning of 2019. An
algorithm has been designed to simultaneously train ...
Intracranial hemorrhage detection using CNN-LSTM fusion model
(Brac University, 2022-05)
Intracranial Hemorrhage is a term used to describe bleeding between the brain tissue
and the skull or within the brain tissue itself. It is life-threatening and needs immediate
medical attention. As the first response, ...
Detection of coronary artery blockage at an early stage using effective deep learning technique
(Brac University, 2022-09-28)
A coronary artery blockage is a form of coronary artery disease also known as CAD.
It is the most common and frequent disease affecting the human body over the age
of 65. CAD is a type of cardiovascular disease that ...
Sentiment analysis using Natural Language Processing (NLP) & deep learning
(Brac University, 2021-09)
It is an age of the Web and electronic media, and social media stages are one of the
foremost frequently used communication mediums these days. But a few individuals
utilize these platforms for a noxious reason and among ...
Utilizing machine learning to project the nancial outcomes of reconnecting with potential customers of the same industry
(Brac University, 2021-01)
In competitive markets, it is costly to attract new customers in the business as
they already have a wide customer base; that being the case, businesses spend a
healthy budget to bring back customers who have once been ...
LRFS: online shoppers’ behavior based efficient customer segmentation model
(Brac University, 2023-02)
The popularity of online shopping has grown significantly across the globe in recent
years. This research proposes a customer segmentation model LRFS, an extended
version of LRF model, built specifically for online ...
Application of CNN based architectures in detection of distracted drivers
(Brac University, 2022-08)
Distracted driving is known to be one of the most significant reasons behind the
occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of
road accidents due to distracted driving has been increasing ...
Rating detection by reviews using ML and NLP towards mobile phone recommendation
(Brac University, 2023-01)
Product recommendation is a type of marketing tool that has become increasingly
important for businesses as well as in purchasing goods in the digital age. Prod uct recommendation is the process of suggesting items to ...
Real-time crime detection using convolutional LSTM and YOLOv7
(Brac University, 2023-05)
The principal goal of this study is to create a crime detection system in real-time that
can effectively handle closed-circuit television (CCTV) video feeds and evaluate them
for possible criminal occurrences. The system’s ...
Demystifying black-box learning models of rumor detection from social media posts
(BRAC University, 2021-09)
Social media and its users are vulnerable to the spread of rumors, therefore, protect ing users from these rumors spread is extremely important. This research proposes a
novel approach for rumor detection in social media ...