Browsing by Subject "Neural networks (Computer science)"
Now showing items 1-20 of 159
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Analysing neural network models for detecting panic attacks with uncertainty analysis
(Brac University, 2024-01)In our society and around the world a lot of people suffer from panic attacks. These panic attacks can be mild or very intense physical stimulations that may incapacitate an individual at the spot when the panic attack ... -
Analysis of real-time hostile activitiy detection from spatiotemporal features using time distributed deep convolutional neural networks, recurrent neural networks and attention-based mechanisms
(Brac University, 2022-05)Throughout time, there has been a surge of hostile activities in public places across the globe. With the advancement in technology, it has been possible to monitor public places through real time surveillance. Video ... -
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 ... -
Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
(Brac University, 2022-01)Anomalous and violent action detection has become an increasingly relevant topic and active research domain of computer vision and video processing, within the past few years. It has many proposed solutions by the ... -
Application of deep convolutional neural network in breast cancer prediction using Digital Mammograms
(Brac University, 2022-01)Cancer, a diagnosis so dreaded and scary, that its fear alone can strike even the strongest of souls. The disease is often thought of as untreatable and unbearably painful, with usually, no cure available. Among all the ... -
Application of deep convolutional neural network in multiclass skin cancer classification using custom CNN architecture
(Brac University, 2023-05)Skin diseases represent a significant global health concern, and prompt and pre- cise diagnosis is necessary for efficient treatment. Convolutional Neural Networks (CNNs), in particular, have shown tremendous promise in ... -
Autism detection based on MRI images using Deep Learning
(Brac University, 2023-01)Autism spectrum disorder (ASD) is a neuro dysfunction or neurodevelopmental disorder. This causes a patient to have trouble with social interaction which causes social instability. It also causes speech problems or ... -
Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
(Brac University, 2024-01)Cancer is a complex and highly invasive disease that forms due to the abnormal growth of cells in any part of the body. A majority of cancers are unraveled and treated by incorporating advanced technology. However, ovarian ... -
Automated fabric color prediction
(Brac University, 2023-05)"This paper focuses on addressing some challenges faced by colorists and explores various approaches to predict fabric color changes after dyeing processes. It empha- sizes the importance of color prediction in the textile ... -
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 ... -
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 ... -
Automatic helmet-less biker detection using deep learning
(Brac University, 2023-09)When riders don’t wear a helmet while driving a motorcycle, they aren’t paying attention, leading to crashes and more deaths. The researchers utilized multiple deep-learning models to identify motorcyclists without ... -
Automatic question & answer generation using generative Large Language Model (LLM)
(Brac University, 2024-01)In the realm of education, student evaluation holds equal significance as imparting knowledge. To be evaluated, students usually need to go through text-based academic assessment methods. Instructors need to make diverse ... -
Automatic waste classification using deep learning and computer vision techniques
(Brac University, 2023-03)Waste management refers to a system that starts with classifying different kinds of waste and gradually managing it from its inception to its final disposal. Labeling waste in a proper manner can ensure the best outcome ... -
AVCL: Audio Video clustering for learning Conversation labeling using Neural Network and NLP
(Brac University, 2022-01)Audiovisual data is the most extensively used and abundantly distributed type of data on the internet in today’s information and communication age. However, the necessary audiovisual data is challenging to retrieve because ... -
Bangali Handwritten characters classification using Deep Convolutional Neural Network
(Brac University, 2022-05)Handwritten letter classification of any given language has the potential to be used in various fields such as literature, educational institutions, digitization of govern ment records etc. Bengali language with its complex ... -
Bangla speech isolation from noisy auditory environment using convolutional neural network
(Brac University, 2023-01)In recent years, the primary solution to sound enhancement has gained popularity. There is a rich research contribution from academia and industry to remove noise and enhance sound quality. With the advance in machine ... -
BanglaBait: using transformers, neural networks & statistical classifiers to detect clickbaits in New Bangla Clickbait Dataset
(Brac University, 2022-01)The art of luring us to click on certain content by exploiting our curiosity is recognized as clickbait. Clickbait might be aggravating at times because it is misleading. Several studies have worked on the detection of ... -
Biometric retina identification using artificial approach
(Brac University, 2022-05)In this paper, we considered recognizing 2D retina pictures with a Convolutional Neural Network (CNN) for greater accuracy since retina-based identification is the most secure way of establishing identity and identifying ... -
Brain hemorrhage detection using hybrid machine learning algorithm
(Brac University, 2022-01)Machine learning (ML) helps computers learn and program data without humans’ help. According to data scientists, machine learning can extract 60% high-quality information, reduce the cost up to 46%, and increase operation ...
