Thesis & Report, BSc (Computer Science and Engineering): Recent submissions
Now showing items 321-340 of 1496
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An efficient approach for binary classification in brain tumor detection using convolutional neural network
(Brac University, 2022-01)Brain tumor detection using Convolutional Neural Network (CNN) models with binary classification has significantly improved the reliability of medical imaging through Deep Learning. The purpose of this research is to ... -
KDANet: optical recognition for Bangla language using deep neural networks
(Brac University, 2022-05)When images of printed or handwritten are converted; be it mechanically or electronically to an editable text format, this is called optical character recognition. Bangla is one of the most complex languages as it has ... -
Text classification with an efficient preprocessing technique for cross-language and multilingual data
(Brac University, 2022-09-28)The procedure of eradicating extraneous textual elements and preparing or process- ing the values to be fed into the classifier model is often indicates the concept of text-preprocessing. There are several preprocessing ... -
Intelligent parking system using machine learning
(Brac University, 2022-09-28)In the last two decades, the quantity of automobiles has increased dramatically. As a result, utilizing technology effectively to promote convenient parking at public and private locations becomes critical. Conventional ... -
A hybrid FL-Enabled ensemble approach for lung disease diagnosis leveraging fusion of SWIN transformer and CNN
(Brac University, 2022-09-22)The significant advancements in computational power create the vast opportunity for using Artificial Intelligence in different applications of healthcare and medical science. A Hybrid FL-Enabled Ensemble Approach For Lung ... -
Two dimensional convolutional neural network CNN approach for detection of Bangla sign language
(Brac University, 2022-09-28)Sign language is known as the primary communication medium for deaf and mute people. But the lack of available resources and a steep learning curve deter the average person from learning it making communication with the ... -
Analysis of deep learning models on low-light pest detection
(Brac University, 2022-09-28)It is undeniable that in recent years, exceptional progress has been made toward building the most accurate and efficient object detectors. However, existing low- light object detectors still require a substantial amount ... -
Detection of coronary artery blockage at an early stage using effective deep learning technique
(Brac University, 2022-09-28)A coronary artery blockage is a form of coronary artery disease also known as CAD. It is the most common and frequent disease affecting the human body over the age of 65. CAD is a type of cardiovascular disease that ... -
Computer vision based skin disease detection using machine learning
(Brac University, 2022-09-28)Skin cancer have been the primary focus of this study, as they are one of the most deadly diseases if not diagnosed and treated early. The study will make it possible for computer science and medical science to work ... -
Predicting peak performance of a cricket player using machine learning and data analytics
(Brac University, 2022-08-25)In the modern era, the game of cricket has evolved into a batting friendly lexicon more than ever. However, bowlers adapting to every suitable condition can also change the dynamics of the game. Prior studies were carried ... -
Autonomous precision landing of UAV digital twins on moving platforms and river data analytics from UAV imagery
(Brac University, 2022-09-28)UAVs have ignited our curiosity to understand the mechanism of flying and improve the way these vehicles fly to enable them to be of great benefit in a variety of ap-plications such as exploration, rescue, 3D mapping, ... -
Comparative analysis and implementation of AI algorithms and NN model in process scheduling algorithm
(Brac University, 2022-09-28)Process scheduling is an integral part of operating systems. The most widely used scheduling algorithm in operating systems is round-robin (RR), but the average waiting time in RR is often quite long. The purpose of this ... -
An efficient deep learning approach to predict heart failure from image data using ejection fraction
(Brac University, 2022-09-28)Heart is the core of human body. A normal heart beats almost 1,15,200 times in a day and 80 beats per second to make us live alive. But we often take it granted and do uncertain thinks which stops it to function perfectly. ... -
Kubernetes performance analysis on different architectures
(Brac University, 2022-09-20)The web as we know it is continuously evolving and changing its shape rapidly. And every day the rate of new technologies being introduced is also increasing. Kubernetes is an excellent tool for cloud computing. Kubernetes ... -
An improved deepfake detection using deep learning
(Brac University, 2022-09-28)With the emergence of Generative Models for creating Deepfake images, and videos of high quality, which are extremely realistic and hard to recognize, several social, and political issues have come to light. DeepFakes ... -
An efficient approach to detect melanoma skin cancer using a custom CNN model
(Brac University, 2022-09-28)Despite only making up 1% of all occurrences of skin cancer, melanoma is one of the most prevalent forms to cause fatalities in recent years. Melanoma has a survival rate of more than 50% from the early stages to the ... -
Surrounding-aware screen-space-global-illumination using generative adversarial network
(Brac University, 2022-09-20)Global Illumination is a strategy in computer graphics to add certain degree of realism in case of 3D scene lighting, by trying to emulate how light rays work in real life. Several approaches exists to achieve such kind ... -
Motion based gesture detection using frame composition LSTM
(Brac University, 2022-09-28)Years of technological progress have made machines capable of identifying humans in images and videos. Moreover, machines like computers can also detect our hand gestures. Gesture recognition is the tool needed to ... -
Interpretable Bangla fake news classification using BERT and traditional machine learning approaches
(Brac University, 2022-09-29)Fake news is a type of content that is inaccurate or misleading and it is usually published with the intention of damaging a person or organization’s reputation. It has recently grown significantly in the online forum ... -
Real-time obscene scene nudity detection and blurring in a video clip
(Brac University, 2022-09-22)Videos are widely consumed by people of all ages as a form of entertainment, information and education. However, not all videos are made for everyone. Many videos contain obscenities such as nudity, violence, blood, and ...
