Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title
Now showing items 466-485 of 1267
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Edge detection for mobile robots in Lunar Surface and surroundings
(BRAC University, 2012-04)The goal of this paper is to explore possibilities in devising a system that is able to detect obstacles in a scene or situation where color variation is limited and environment is noisy, such as that of the moon where ... -
EEG signals analysis for motor imagery brain computer interface
(Brac University, 2019-08)A brain{computer interface is a medium for communication which converts neuronal signals into commands towards controlling external system. This thesis presented the process of classifying three motor imagery tasks using ... -
Effect of social Media on mental health
(Brac University, 2023-01)An online community where people work together to produce, share and change their ideas and comments about any data is known as web-based social network ing. Over the past ten years, long-distance social networking purpose ... -
An effective infrastructure for pocket switch network
(BRAC University, 12/14/2017)In everyday life we are using Internet with fixed routing configurations such as Broadband, mobile data etc. Pocket Switch Networks (PSN) uses phones as the medium to connect with other people without a fixed cellular ... -
An effective machine learning approach for sentiment analysis of restaurant reviews
(BARC University, 2016-08)Sentiment analysis or opinion analysis is creating a vast area of research in this modern era of social media. Various blogs and Social Medias (Facebook, twitter, Instagram) are the most popular platform for the users or ... -
Effectiveness of data mining in predicting heart diseases
(BRAC University, 8/21/2017)Heart Diseases affect a large population in today’s world, where the lifestyle is moved from active to comfort-oriented. We live in era of fast foods. Which build up cholesterol, diabetes and many more factors which in ... -
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 ... -
An efficient approach for recyclable waste detection and classification using image processing techniques
(Brac University, 2023-01)One of the world’s most pressing issues right now is the lack of a competent waste management system, particularly in emerging and underdeveloped countries. Re cycling solid waste, which comprises numerous dangerous ... -
An efficient approach of face detection and recognition from digital images for modern security and office hour attendance system
(BRAC University, 2015-12)The purpose of this project is to make an efficient security system for university safety measurement which can also be used to calculate the office hours of Student Tutors by face detection and recognition. By using ... -
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 ... -
Efficient blockchain system based on proof of segmented work
(Brac University, 2019-12)The use of Blockchain in Cryptocurrency introduces a technology that acts as an unswervingly growing ledger with the capability to keep an everlasting record of all the transactions that have taken place, in a secure ... -
An efficient deep learning approach for 3D face detection using multiple angular 2D images
(Brac University, 2022-09-25)3D face reconstruction is a useful computer vision technique for facial recognition. Accuracy decreases drastically while extracting features from 2D and moving images. To overcome this problem, we are proposing ... -
An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
(Brac University, 2022-09)In medical application, deep learning-based biomedical pixel-wise detection through semantic segmentation has provided excellent results and proven to be efficient than manual segmentation by human interaction in various ... -
An efficient deep learning approach for detecting Alzheimer’s disease using brain images
(Brac University, 2022-01)Alzheimer’s disease (AD) is a disorder of the brain which causes the loss of memory. This is a successively growing disease which means the severity of it will be upward with the time. In this century, AD is one of the ... -
An Efficient deep learning approach to detect Brain Tumor using MRI images
(Brac University, 2021-10)A brain tumor is the development of mutated cells in the human brain. Many di er- ent types of brain tumors exist nowadays. According to researchers and physicians, some brain tumors are non-cancerous while some are ... -
An efficient deep learning approach to detect COVID-19 infected lungs using image data
(Brac University, 2022-01)The beginning of 2020 will always be a dreadful chapter in human history. Even with all the recent advancements in the medical sector, the COVID-19 virus proved to be a major challenge for doctors all over the world. The ... -
An efficient deep learning approach to detect neurodegenerative diseases using retinal images
(Brac University, 2023-01)Neurodegenerative disorders are diagnosed through undergoing brain MRI, CT scans, genetic testing, and various laboratory screening tests which are often tedious, time consuming and beyond the means of most people’s financial ... -
An efficient deep learning approach to detect retinal disease using optical coherence tomographic images
(Brac University, 2022-05)Optical Coherence Tomography (OCT) is an effective approach for diagnosing retinal problems that can be used in combination with traditional diagnostic testing methods. We developed and implemented a deep Convolutional ... -
An efficient deep learning approach to detect skin Cancer
(Brac University, 2021-09)Each year, millions of people around the world are affected by cancer. Research shows that the early and accurate diagnosis of cancerous growths can have a major effect on improving mortality rates from cancer. As human ... -
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which are data acquisition, preprocessing and classification. ...