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Now showing items 1-10 of 24
Citrus leaf disease detection by image processing
(Brac University, 2024-01)
Citrus leaf diseases bring a danger to the earnings of citrus estates. When it comes
to recovering from illness, early detection and accurate diagnosis are very necessary.
In the last several decades, there have been ...
Deep learning based early Glaucoma detection
(Brac University, 2024-01)
Glaucoma is a severe eye condition that can lead to progressive vision impairment
if left untreated. Diagnosis and monitoring of glaucoma at an initial stage is critical
for effective treatment of the disease. However, ...
Hybrid recommendation system of intelligent captioning using deep learning networks
(Brac University, 2024)
This research introduces a hybrid recommendation system through sentiment analysis
for Bangla long textual sentences. Social media, as a vast source of opinions, can
be harnessed through sentiment analysis using deep ...
Analyzing students’ concentration in online courses through Webcam
(Brac University, 2024-01)
Online learning is growing in popularity these days. As a result, students typically
contribute millions of course-related responses to discussion forums and exchange
some learning experiences. This study focuses on ...
Sentiment classification on Bengali food and restaurant reviews
(Brac University, 2024-01)
Sentiment analysis, a critical facet of Natural Language Processing (NLP), plays a
pivotal role in decoding human emotions conveyed through text. Despite extensive
research in sentiment analysis for widely spoken languages, ...
Health trauma and well-being assistant for Bengali seniors in household: a multimodal approach
(Brac University, 2024-01)
The increasing number of elderly individuals living alone has emerged as a pressing
global concern. Our research aims to address this issue by developing advanced
modules that can be integrated into a system that enhances ...
EAI4CC: deciphering lung and colon cancer categorization within a federated learning framework harnessing the power of explainable artificial intelligence
(Brac University, 2024-01)
Advances between medical imaging and artificial intelligence (AI) have led to improvements
in cancer diagnosis and classification. This paper provides a new framework
called Explainable AI for cancer categorization ...
Traumatic meningeal enhancement detection by deep learning-based biomedical image analysis and handcrafted features extraction
(Brac University, 2024-01)
Traumatic Meningeal Enhancement (TME) is a critical medical condition characterized
by abnormal enhancement of the meninges following trauma, often observed
in medical imaging studies. Traumatic meningeal injuries result ...
Document template identification and data extraction using machine learning and deep learning approach
(Brac University, 2024-01)
As the world keeps progressing and we continue on our path to a technologically
advanced tomorrow, the demand for quick data processing and organization is becoming
more and more necessary. People now have access to ...
Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
(Brac University, 2024-01)
In sub-Saharan Africa, where agriculture is a major commercial activity, the security
of staple crops like beans is threatened by persistent diseases, notably bean
rust and angular leaf spot. Uromyces appendiculatus, the ...