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Now showing items 31-40 of 84
Beyond words: an exploration of free-hand sketches and EEG-based neurobiological signatures to unveil the underlying depression among cancer patients
(Brac University, 2023-05)
Mental well-being is intricately intertwined with physical health and is considered a crucial aspect of an individual’s overall well-being. Due to ever-deteriorating health conditions and uncertainty about the future, ...
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, ...
Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
(Brac University, 2023-01)
The decentralized cryptocurrency has created many opportunities for secure and safe
financial transactions with a bright prospect. The cryptocurrency market rapidly
expands, leading to erratic price movements due to ...
Sentimental analysis of customer product Reviews to understand customer needs using machine learning
(Brac University, 2023-05)
People are influencing aspects of the digital world through machines. As a result, it
is crucial to upgrade and use this aspect to do so. In the past, people used written
letters to provide feedback. However, people are ...
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 ...
Mental health analysis of cancer-diagnosed patients with the lowest survival rate and their caregivers
(Brac University, 2023-05)
Throughout the world, millions of people and their families are impacted by the
serious illness of cancer. The total number of new cancer cases worldwide in 2020
was predicted to reach 18.1 million. Serious emotional ...
Predicting obesity: a comparative analysis of machine learning models incorporating different features
(Brac University, 2023-05)
Obesity, the excessive accumulation of body fat, is a significant health risk associated
with various detrimental impacts, including the development of chronic diseases,
metabolic abnormalities, joint problems, sleep ...
Ripple down rule based decision intelligence for mental disorder diagnosis
(Brac University, 2023-01)
Ripple Down Rule (RDR), a rule-based incremental system, enables knowledge acquisition from human experts to knowledge-based systems (KBS). The majority of modern decision intelligence systems rely on machine learning ...
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 ...
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network
(Brac University, 2023-01)
Detailed Fingerprint investigation has been a dominant law enforcement tool which
is utilized to distinguish suspects, settle crimes and violations for over 100 years.
Moreover, gender classification from fingerprints ...