Browsing Thesis & Report, MSc (Computer Science and Engineering) by Title
Now showing items 20-39 of 72
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Effective feature selection for real-time stock trading in variable time-frames and multi criteria decision theory based Efficient stock portfolio management
(Brac University, 2021-08)The unpredictability and volatility of the stock market render it challenging to make a substantial pro t using any generalized scheme. Many previous studies tried di erent techniques to build a machine learning model, ... -
Efficient network traffic management and intelligent decision-making through machine learning and DNS log analysis
(Brac University, 2023-08)This research presents a comprehensive approach to network traffic management and analysis by leveraging DNS log analysis, machine learning techniques, and Software-Defined Networking (SDN) integration. In an office ... -
Efficient Spatio-temporal feature extraction for human action recognition
(Brac University, 2021-11)Human actuation recognition (HAR) has been performed using current deep learning (DL) algorithms using a variety of input formats, including video footage, optical flow, and even skeleton points, which may be acquired ... -
Electronic voting system based on blockchain
(Brac University, 2022-09)The primary goal of this application is to create a voting app which is safe and the result is unchangeable. By using blockchain technology these goals can be achieved. Data in blockchain is not stored in only one location ... -
Empowering mobile network planning through deep learning: a path to democratization
(Brac University, 2023-09)In the realm of cellular network internet data traffic assessment, the imperative task of forecasting and comprehending traffic patterns assumes pivotal significance for the effective management of network-designed Quality ... -
Explainable artificial intelligence and model calibration for water quality prediction
(BRAC University, 2022-08)Water is a key necessity for survival and sustenance of all living creatures. In the past years, the quality of water has been adversely affected by pollutants and other harmful wastes. This increased water pollution ... -
Flood prediction using ensemble machine learning models
(2023-07)Frequent and devastating floods in India pose a significant threat to people and property. Accurate and real-time forecasting of floods is essential to mitigate their impact. This thesis focuses on evaluating di↵erent ... -
A framework of biometric recognition and personalized mobile application to establish a dynamic connection with the ATM to enable secure transaction
(Brac University, 2019-08)Secure transaction of money is the prime concern of banking industries for establishing a strong banking network worldwide. By the vast uses of Automated Teller Machine (ATM) in this industry transaction of money has ... -
Full stack development of UBERA system
(BRAC University, 2023-05)The system named ‘UBERA’ is a web application which is undertaken as a system which has the ability to assess buildings and produce an output result if they are vulnerable to earthquake or not. It is an automatic decision ... -
A graph mining-based approach to analyze the dynamics of the Twitter community of COVID-19 misinformation disseminators
(Brac University, 2024-04)The abundant dissemination of misinformation on social networks has emerged as a worldwide threat, exerting an implicit influence on public opinion and endangering the progress of social, political, and public health ... -
A graphical data analyzer that analysis trend of a portal traffic based on big data stored by Google Analytic
(BARC University, 2016-12)Google Analytics is a web analytics service offered by Google that tracks and reports website traffic, as per every pages to tell it to track, as well it's presenting visual representation of that data. But, to do so demands ... -
A healthcare digital twin system based on blockchain technology
(Brac University, 2023-04)Digital Twin (DT) is a technology that replicates any physical phenomenon from physical space to digital space in congruous with the physical form’s state. It does not confine to only spatial objects, any non-spatial ... -
Heart attack prediction using machine learning and XAI
(Brac University, 2022-09)Predictive analytics has received a lot of attention in recent years due to advances in supporting technology, particularly in the areas of big data and machine learning. In recent years, the uses of disease prediction ... -
Human activity recognition and authentication system
(Brac University, 2023-05)Automated surveillance motion detection and video data analysis are now crucial jobs for many industries. Understanding human behavior from security video data is crucial, especially in places like banks, hospitals, ... -
A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
(Brac University, 2022-09)Data innovation has moved quickly in recent years, and various unfavorable alter ations have been made to the network medium. Social media platforms like Face book, Twitter, and Instagram are becoming more and more popular ... -
Identifying genes with location dependent noise variance in spatial transcriptomics data
(Brac University, 2022-12)Spatial transcriptomics (ST) holds the promise to identify the existence and extent of spatial variation of gene expression in complex tissues. Such analyses could help identify gene expression signatures that distinguish ... -
Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
(Brac University, 2024-06)Automatic sentiment recognition from speech data is crucial for various applications. As AI has grown in popularity, the application of the importance of speech sentiment analysis is increasing along with the amount of ... -
Investigating music algorithm in neural information processing: robust feature extraction for emotional state classification from multichannel EEG signals
(Brac University, 2021-08)The major challenge in any electroencephalogram (EEG) classi cation task lies with in the dilemma of feature extraction, as raw time series signal provide little correlated information, yet it holds colossal varieties ... -
An IOT based home automation and chemical detector with real time data analysis
(Brac University, 2021-09)IoT has become one of the most important technologies of the 21st century. We can connect everyday objects like kitchen appliances, cars, baby monitors, light, fan, water motor to the internet via embedded devices. We ... -
An IoT based smart stick for blind and visually impaired person
(Brac University, 2021-09)Vision loss has a devastating effect on the lives of those who experience it. It affects as well as on their family, friends and society. Completely loosing or deterioration of eyesight is frightening and unbearable which ...