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Accurate analysis of mood detection using eye-images rather than facial expression recognition (FER)
(Brac University, 2022-06-05)
There are several works on mood detection by machine learning from physical and neuro- physical data of people, along with works on emotion recognition using eye-tracking. We want to show that a person’s mood can be detected ...
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, ...
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 ...
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 ...
Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
(Brac University, 2024-01)
Adrenocortical Carcinoma (ACC) is a rare but highly lethal cancer that occurs
in the adrenal cortex. Accurate diagnosis of ACC are vital in order to determine
appropriate treatment strategies and predict patient outcomes. ...
A hybrid based model on LSTM-CNN to multi-class emotion analysis on social networking dataset
(Brac University, 2021-01)
Sentiment analysis from texts has been a major research eld in NLP. However, most
of the studies are on binary (positive and negative) classi cation of the texts. While
researching, we found that the accuracy of multi-class ...
Deepfake detection in videos detecting face wrapping artifacts with convolutional neural network
(Brac University, 2021-01)
Alteration of video les by changing the face of a person on frame is Deepfake. In
such manipulated contents a person's face is used on a video performing or saying
something that they never actually said or did. Deepfake ...
Artificial intelligence in nephrology: detecting chronic kidney disease using neural network
(Brac University, 2024-05)
Chronic kidney disease (CKD) is a significant global health concern, impacting more
than 800 million people globally. Prompt identification and precise categorization
are crucial for optimal therapy. The primary objective ...
Improving Bangla sign language detection from thermal imagery: leveraging thermal heatmap-induced transfer learning and deep neural networks
(Brac University, 2024-10)
This research explores fusion of deep learning for sign language recognition and thermal
imaging, focused on advancing communication systems for the hearing impaired.
Recognition of sign language is a crucial technology ...
Point-cloud-based 3D object detection for autonomous navigation in unmanned ground vehicles
(Brac University, 2024-11)
Autonomous navigation for UGVs faces significant challenges in detecting objects
accurately in complex environments. Despite advancements in 2D object detection,
the absence of robust 3D object detection models leave a ...