Browsing Thesis & Report, BSc (Computer Science and Engineering) by Title
Now showing items 613-632 of 1349
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Faster image compression (LZW algorithm) technique using GPU parallel processing
(BRAC University, 12/26/2017)Since the beginning till present, the technology demands to store as massive data as possible in as little space as possible. As web, mobile, desktop and all other applications use image for different purposes, image ... -
Fault detection and predictive maintenance in IoT-based building management system using machine learning
(Brac University, 2022-01)Infrastructures in the modern era are incorporating the Internet of Things (IoT) in everything from complex building automation systems (BAS) to individual small devices, emphasizing the importance of Predictive Maintenance. ... -
Fault detection in waste water treatment plant using statistical analysis & machine learning
(Brac University, 2019-12)A suitable model needs to be developed for detecting fault of wastewater treatment plant in order to monitor, predict plant performance and for reducing environment pollutions. Main objective of this study is to introduce ... -
Feature and performance based comparative study on serverless framework among AWS, GCP, azure and fission
(Brac University, 2021-06)Cloud computing is one of the most flourishing technologies in today’s internet based world and the upcoming trend for the future. It has roughly been a decade of the development on this field. The first initiative had ... -
Feature based mobile phone rating using sentiment analysis and machine learning approaches
(2018)This project proposes a model of sentiment analysis of different features of different company’s mobile sets and rating them overall. Customers before buying a phone check reviews to get a better understanding of the device ... -
A feature selection approach to determine obesity using machine learning method
(Brac University, 2021-06)The new health concern that is proliferating in developing and impoverished countries is obesity. It is recognized as a complex health issue caused by various factors such as genetics, behaviour, and other issues. Obesity ... -
Federated ensemble-learning for transport mode detection in vehicular edge network
(Brac University, 2023-01)Transport Mode detection has become a crucial part of Intelligent Transportation Systems (ITS) and Traffic Management Systems due to the recent advancements in Artificial Intelligent (AI) and the Internet of Things (IoT). ... -
Federated GAN based biomedical image augmentation and classification for Alzheimer’s disease
(Brac University, 2022-09)Federated Learning (FL) is a distributed machine learning approach that can de velop a global or customized model from scattered datasets on edge devices using federated datasets. ‘Federated GAN Based Biomedical Image ... -
A federated learning approach for detecting Parkinson’s disease through privacy preserving by blockchain
(Brac University, 2022-05)Parkinson’s disease is a degenerative ailment caused by the loss of nerve cells in the brain region known as the Substantia Nigra, which governs movement. These nerve cells die or deteriorate, rendering them unable to ... -
Fighting depression: psychological approaches among Bangladeshi university students
(Brac University, 2022-05)In recent years, mental health deterioration cases have increased exponentially indicates that this issue needs our attention. Stressful situations of our daily life such as excessive study load, relationship predicaments, ... -
Financial factors analysis for acquisition premium and anticipation using extreme gradient boosting and deep recurrent neural network
(Brac University, 2019-12)This study shows importance hierarchy of financial factors of corporations’ Goodwill and tries to foresee with popular machine learning and deep learning models. Financial engineering is using mathematical model to study ... -
Finding habitable exo planets using boosting algorithm
(Brac University, 2018-12)The first moment man extended their boundaries outside of our Earth, from that moment they were looking for another habitable planet, where they may live in future. Including NASA, many international space organization ... -
Finding ideal geographical location for businesses using machine learning technique
(Brac University, 2021-09)The world has become a place where the economy is at the epicenter of it all. World economic growth has paved the way for people to enrich their lives with all sorts of blessings. A major chunk of this shift in the world's ... -
Finding location-specific aggregated air quality index with smartphone images using deep convolutional neural network
(Brac University, 2023-01)Although smartphones have already become the de facto tool for environmental health research for their ubiquity and portability, utilizing them in finding location specific aggregated air quality index based on PM2.5 ... -
Finding suitable locations for live campaigns using different machine learning techniques
(BRAC University, 2018)For business booming, in recent years the idea of find an ideal location for reaching potential customers has been the focus of past research. Traditional approaches have faced many negative responses, now to make business ... -
Fingerprint recognition by minutia matching
(BRAC University, 2008-01)In this thesis a current technique for fingerprint recognition has been investigated. It includes image preprocessing, feature extraction, post processing and feature match. For each sub-task some methods like- Image ... -
Finite state recognizer and string similarity based spelling checker for Bangla
(BRAC University, 2007)A crucial figure of merit for a spelling checker is not just whether it can detect misspelled words, but also in how it ranks the suggestions for the word. Spelling checker algorithms using edit distance methods tend to ... -
Fire and disaster detection with multimodal quadcopter By machine learning
(Brac University, 2023-03)Our thesis research is consisted of developing a model that can detect early fires and, mapping the area for fire and disaster detection using a UAV (Unmanned Aerial Vehicle) or quadcopter if a fire break out. Furthermore, ... -
Flood prediction using machine learning models
(Brac University, 2022-01)Floods are one of nature’s most catastrophic calamities which cause irreversible and immense damage to human life, agriculture, infrastructure and socio-economic system. Floods are one of Bangladesh’s most common natural ... -
Fog based service oriented IOT infrastructure
(BRAC University, 12/14/2016)The Internet of Things(IoT) can be defined as a network connectivity bridge between people, systems and physical world. With the increasing number of IoT devices and networks, dealing with enormous number of data efficiently ...