Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title
Now showing items 494-513 of 1349
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Early threat warning via speech and emotion recognition from voice calls
(BRAC University, 2018-12)The aim of this system is to identify potential cases of threats, and provide an early warning or alert to such cases. This will be based on voice such as voice chat over telecommunication networks or social media. The ... -
ECG disease detection & feature extraction by wavelet transformation
(BRAC University, 2016-03)ECG is the most common and basic test to run on patients to check any kind of anomalies in the heart. In the ECG result 10 to 20 minutes long continuous data of a patient’s heart is down sampled and printed as a 1D graph. ... -
Ecommerce Web Application
(Brac University, 2022-09)ECommerce is the term used to describe the selling of products and services online. It’s one of the most dynamic industries in the world, and it’s growing faster than ever in the past few years. In 2016, ecommerce sales ... -
Economic crisis prediction due to pandemic outbreak using machine learning
(Brac University, 2021-06)Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ... -
Economic crisis prediction due to pandemic outbreak using machine learning
(Brac University, 2021-01)Since pandemic disease outbreaks are causing a major financial crisis by affecting the worldwide economy of a nation, machine learning techniques are urgently required to forecast and analyze the economy for early economic ... -
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 ... -
Edge-optimized machine learning models for real-time personalized health monitoring on wearables
(Brac University, 2024-01)Personalized health monitoring, including Human Activity Recognition (HAR) and Fall Detection, is crucial for healthcare. Traditionally, most research in this field has relied on wearable sensors to collect data. The ... -
eDoctor: an online medical service
(Brac University, 2024-01)The COVID-19 situation has demonstrated the value of telemedicine in healthcare. During the pandemic it was not safer to visit a hospital physically therefore telemedicine has played a vital role on improving the standard ... -
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 ...
