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Now showing items 11-20 of 21
An advanced hospital rating system using machine learning and natural language processing
(Brac University, 2023-05)
Bangladesh is the host of 255 public and 4,452 private hospitals. Unfortunately,
there is no reliable metric or resource available online to determine which hospital
is better. Patients and their peers often find it ...
Sentiment analysis to determine employee job satisfaction using machine learning techniques
(Brac University, 2023-01)
Over the past three years, the COVID-19 epidemic had a significant impact on
the labor market. Employees have been laid off and the majority of them have
changed careers. If they can collect more datasets in the future, ...
Automated image caption generator in Bangla using multimodal learning
(Brac University, 2023-01)
Experiencing an image on-screen is a privilege that we often seem not to care about.
A visually impaired person does not have that luxury. A system that can automatically
produce closed captions of an image can thus help ...
A secured federated learning system leveraging confidence score to identify retinal disease
(Brac University, 2023-05)
Federated learning is a distributed machine learning paradigm that enables multiple
clients to collaboratively train a global model without sharing their local data. How-
ever, federated learning is vulnerable to adversarial ...
Sentiment analysis in Bengali Text using NLP
(Brac University, 2023-01)
Natural Language Processing, a branch of AI, teaches computers to understand
speech and text in multiple languages. Machine learning or deep learning techniques
can be used to develop rule-based models of human-spoken ...
An interpretable transformer based approach to classify Malaria from blood cell images
(Brac University, 2023-01)
Malaria is a disease that can be fatal, and it is spread through the bite of the female
Anopheles mosquito. The life of the sufferer is put in jeopardy as a result of the pres ence of numerous plasmodium parasites, which ...
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 ...
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 ...
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)
Skin diseases represent a significant global health concern, and prompt and pre-
cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks
(CNNs), in particular, have shown tremendous promise in ...