Browsing by Subject "Deep learning (Machine learning)"
Now showing items 1-20 of 29
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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 ... -
Application of CNN based architectures in detection of distracted drivers
(Brac University, 2022-08)Distracted driving is known to be one of the most significant reasons behind the occurrence of traffic accidents. Moreover, the phenomenon of the occurrence of road accidents due to distracted driving has been increasing ... -
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 ... -
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 ... -
Behavior change analysis due to violent video gaming using deep learning models
(Brac University, 2024-02)In the 21st century, technology has advanced at such a wondrous rate that people resort to this developed medium to carry out most of their tasks, from household chores to daily necessities and almost everything else. ... -
Brain tumor detection with convolutional neural network
(Brac University, 2023-09)The brain is the command center of our nervous system, which enables thoughts, memories, movements, and emotions. In other words, it is the most important organ in the human body. The human brain is very vulnerable to ... -
Classification of retinal diseases from OCT images using deep learning models
(Brac University, 2024-01)Retina is an important part of our vision, but it can easily get affected and create various vision problems like vision loss and others. According to the statistics provided by The World Health Organization, it is ... -
A comparison of deep learning U‐Net architectures for semantic segmentation on panoramic X-ray images
(Brac University, 2023-01)Digital image processing utilizes deep learning to tackle challenging issues such as image colourization, classification, segmentation, and detection. The medical image analysis field is developing day by day, and ... -
Damaged road detection using Image Processing and Deep Learning
(Brac University, 2022-01)Computer Science has evolved enormously in the last few decades. It has now far exceeded the Human and Computer interfaces. Its recent sights are scaling, measuring, object detection, etc. Image processing and deep learning ... -
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, ... -
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. ... -
Deep learning-based real-time pothole detection for avoiding road accident
(Brac University, 2022-01)Bangladesh is a fast-developing country, and the number of roads increasing with it is immense. With the ever-growing amount of road comes the age-old problem of a pothole. This paper represents a model of deep learning-based, ... -
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 ... -
Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
(Brac University, 2023-09)Skin Cancer is a cancer form that has become very prevalent in recent times and, if left untreated, has the potential to cause premature death. That is why early diagnosis and treatment are important to cure this disease. ... -
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 ... -
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 ... -
Identifying hate speech of Bangla language text using natural language processing
(Brac University, 2024-01)In this era of the internet, sharing information through social media has provided significant benefits to humans. People can easily access and observe others’ lifestyles and work, as well as make comments or share ... -
Implementation of diffusion model in realistic face generation
(Brac University, 2024-01)Realistic Face Generation has emerged as a compelling area of research in the field of Artificial Intelligence and it has gained massive attention through the people as it has significant usage in many sectors. Its ... -
An integrated approach: fake review detection using convBERT-BiLSTM classification
(Brac University, 2024-01)In the era of E-commerce, online reviews significantly shape consumer buying decisions and store evaluations. However, the prevalence of unethical practices such as review manipulation poses a considerable challenge. ... -
An interpretable diagnosis of retinal diseases using vision transformer and Grad-CAM
(Brac University, 2024-01)Early detection of retinal diseases can help people avoid going completely or partially blind. In this research, we will be implementing an interpretable diagnosis of retinal diseases using a hybrid model containing ...