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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 ...
Detection of intracranial hemorrhage on CT scan images using convolutional neural network
(Brac University, 2021-09)
Intracranial hemorrhage is an acute bleeding within the skull which can damage
the brain tissue and can eventually lead to disability or even death. It is a serious
medical condition that occurs when blood is built up ...
BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
(Brac University, 2022-01)
The art of luring us to click on certain content by exploiting our curiosity is recognized
as clickbait. Clickbait might be aggravating at times because it is misleading.
Several studies have worked on the detection of ...
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 ...
PDFGuardian: An innovative approach to interpretable PDF malware detection using XAI with SHAP framework
(Brac University, 2023-01)
As the world is moving more and more towards a digital era, a great majority of
data is transferred through a famous format known as PDF. One of its biggest
obstacles is still the age-old problem: malware. Even though ...
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 ...
Thoracic complication detection on chest X-rays using deep learning
(2021-06)
Respiratory or thoracic diseases are one of the leading causes of death worldwide. Many of these diseases can be treated and prevented with proper diagnosis and
early care. The diagnosis of thoracic diseases is mainly ...
Early stage detection and classification of colon cancer using deep learning and explainable AI on histopathological images
(Brac University, 2022-01)
Colon cancer is one the most prominent and daunting life threatening illnesses in
the world. Histopathological diagnosis is one of the most important factors in determining
cancer type. The current study aims to create ...
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 ...