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Now showing items 21-30 of 72
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 ...
Identifying Bangla deceptive news using machine learning and deep learning algorithms
(Brac University, 2023-05)
Internet-based resources are utilized by the vast majority of individuals today. The
news published on websites and shared on social media platforms are examples of
such resources. Due to the increasing number of content ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...
A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
(Brac University, 2023-01)
For the technological shift, advancing epoch towards cryptocurrency intensified the
impactful method. Metaverse can originate the base operation into a diversified level.
The extension of digital marketing contributes ...
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 ...
A machine learning-based approach for data analysis to ascertain suicidal individuals from Social media users
(Brac University, 2023-01)
In this research, we propose a hybrid model for predicting suicide risk from text
data that incorporates BERT, VADER, and a Random Forest classifier for sentiment
analysis. This model aims to identify individuals who may ...
Bank loan prediction using machine learning
(Brac University, 2023-05)
The Banking sector is a core foundation of the global economy as it facilitates the
financial transactions while providing fundings in various purposes. One key aspect
in the banking industry is the ability to accurately ...
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 ...
Fraud detection in E-commerce using natural language processing
(Brac University, 2023-01)
Electronic commerce sometimes referred to as e-commerce is a type of business
that enables both businesses and private individuals to purchase and sell products
and services online. E-commerce in Bangladesh is thriving ...
Non-clinical Covid19 diagnosis on CT-scan, Chest X-ray, and respiratory patterns using deep-learning and signal processing
(Brac University, 2023-01)
Despite various preventative measures and therapies, the COVID-19 pandemic has
exposed a number of weaknesses and vulnerabilities in global health systems, particularly in low and middle-income countries that may have ...