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Now showing items 21-30 of 63
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 ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
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 ...
Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
(Brac University, 2022-05)
Given the growing and massive shock to the hotel industry, the coronavirus (COVID-
19) outbreak has generated an unexpected problem. The hotel industry is currently
facing a big obstacle during the COVID period, where ...
A comparative study of lung cancer prediction using deep learning
(Brac University, 2022-09)
At the point when cells in the body develop out of control, this is alluded to as
cancerous development. Lung cancer is the term used to depict cancer that starts
in the lungs. At first in the field, classifier-based ...
Traffic congestion detection and optimizing traffic flow using object detection, optical flow and fluid dynamics
(Brac University, 2022-01)
Bangladesh has been suffering a severe traffic congestion issue ever since it has been
on a high paced development roadmap. Researches regarding solving such traffic
issue has been in the talks but has never reached a ...
Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
(Brac University, 2019-12)
This study shows importance hierarchy of financial factors of corporations’ Goodwill
and tries to foresee with popular machine learning and deep learning models. Financial engineering is using mathematical model to study ...
Pest detection system using machine learning techniques
(Brac University, 2022-01)
Countries like Bangladesh yield a significant portion of their economy from their
agricultural sector. Agricultural pests, on the other hand, have a significant impact
on both agricultural production and crop storage. ...
Analysis of deep learning models on low-light pest detection
(Brac University, 2022-09-28)
It is undeniable that in recent years, exceptional progress has been made toward
building the most accurate and efficient object detectors. However, existing low-
light object detectors still require a substantial amount ...