Thesis & Report, BSc (Computer Science and Engineering): Recent submissions
Now showing items 81-100 of 1496
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GNN model for classification of SARS-CoV-2 severity in molecules
(Brac University, 2024-05)In a time when healthcare issues and diseases get more complex every day, it becomes evident that efficient and precise disease detection and classification are invaluable. Through the quick development of machine ... -
Pothole detection using lightweight network models
(Brac University, 2024-01)Potholes are defective cavities found on road surfaces. Potholes can lead to serious accidents and vehicle damage if not properly detected. Thus, we are proposing the use of neural network models for pothole classification. ... -
Leveraging unsupervised segmentation for semi-supervised renal calculi and carcinoma segmentation and classification
(Brac University, 2024-06)Indeed it became crucial to develop an AI-driven system for detecting Renal illnesses spontaneously due to a healthcare issue of Renal failure. The global shortage of nephrologists is the core reason for this. This ... -
Predicting crime using deep learning
(Brac University, 2017-12-24)Criminal activities are available in every region of the world influencing social life and financial improvement. As such, it is a major concern of numerous legislatures who are utilizing distinctive advanced innovation ... -
A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
(Brac University, 2022-01)We present a color vision system that utilizes deep neural net- works to normalize pictures using the autoencoder algorithm. Image processing, encoding, and decoding are the three essen- tial processes in the proposed ... -
Masked face identification using face recognition
(Brac University, 2022-05)This work intends to express one of the several well-known biometric authentications entitled Masked Face Identification models by applying current Face Recognition algorithms and public masked face raw data that predict ... -
Detecting man in the middle attack implementing timebased verification method
(Brac University, 2022-05)Internet is one of the most important parts of our daily life. Network security is necessary to secure our internet network. For security purposes, we are developing different protocols, methods, and techniques. Still, ... -
Cloud tech: online electronics retail store
(Brac University, 2022-05)One of the most significant expanding and prospering categories of online retailing is ecommerce websites. It has grown quicker in recent years and is likely to continue developing at a rapid pace. Ecommerce websites ... -
A machine learning approach to predicting and mitigating traffic congestion
(Brac University, 2024-03)Traffic congestion has notable effects on urban mobility, impacting thousands of people on a daily basis which hampers economic productivity and environmental sustainability. This research represents an extensive approach ... -
Implementing laboratory information management system (LIMS) at National Control Laboratory(NCL), DGDA
(Brac University, 2024-04)This internship report details the development of a Laboratory Information Management System (LIMS) for the National Control Laboratory (NCL) of Bangladesh. LIMS software facilitates the organization and management of ... -
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 ... -
CattleSavior: towards implementing an advanced external disease detection system through deep learning
(Brac University, 2023-08)"Lumpy Skin Disease (LSD), Foot and mouth (FMD), and Infectious Bovine Keratoconjunctivitis (IBK) are some of the most common external diseases of cattle in Bangladesh. Besides, these diseases are highly contagious. Thus, ... -
Optimizing restaurant recommendations through sentiment analysis
(Brac University, 2024-03)"The rapid growth of the food industry and dining-out culture has led to a vast growth in the number of restaurants over the years. As a result, customers are overwhelmed with too many options to purchase their meals ... -
BnText2Table – dataset and Text-to-Table generation in Bangla
(Brac University, 2024-01)"In this fast-paced world, everyone relies on technology to get their work done quickly and efficiently, since using technology greatly simplifies every task that needs to be done. The majority of the publications are ... -
Human resource management system
(Brac University, 2023-09)Internships offer students valuable opportunities for experiential learning outside of the conventional academic setting, enabling learners to cultivate competencies, knowledge, and interpersonal aptitudes via hands-on ... -
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 ... -
IoT based air components collection for machine learning reinforcement
(Brac University, 2022-05)Air pollution has been a noteworthy threat for a long time now in the 21st century. Human lives have never faced such an obscene amount of threat from the very air it needs to breathe to stay alive. As technology evolves ... -
Transfer learning based industrial steel plates fault diagnosis using industrial fault signals
(Brac University, 2021-09)Transfer learning (TL) has shown its great advantage to solve small-training-sample issues utilizing information learned from existing large data with deep learning tech- niques. Transfer learning has been e ectively ... -
A hybrid approach to determine patients critical situation using expression & posture with convolutional neural network & Blazepose algorithm
(Brac University, 2022-01)Patients are considered to be one of the most vulnerable persons. When it comes to critical patients their movements and behaviors need to be monitored constantly as simple negligences could result in severe consequences. ... -
Skin cancer classification for seven types of skin lesions
(Brac University, 2023-05)Machine learning (ML) for skin lesion identification employs algorithms, notably convolutional neural networks (CNNs), to categorize and detect skin lesions, aiming to enhance early detection and treatment of skin cancer. ...
