Thesis & Report, MSc (Computer Science and Engineering)
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Boosting hive efficiency: a novel dual-process architecture for asynchronous and parallel data loading
(Brac University, 2024-10)The efficiency of data loading processes in Hive, a critical component of modern big data ecosystems, is often hindered by sequential bottlenecks that limit overall performance. This thesis proposes a novel asynchronous ... -
Socio-economic impact of 2023 Turkey earthquake price hikes: insightful analysis using transformer models and XAI models
(Brac University, 2024-09)Natural disasters like the 2023 earthquake in Turkey have significant social and economic effects, making it important to use analytical methods for creating strong, disaster-ready communities. In our work, we analyze ... -
Ensuring CIA triad using EJBCA solution digital certificate trust model
(Brac University, 2022-05)At present ensuring confidentiality, integrity and availability of information is a big challenge. Cyber-attacks such as man in the middle attack, eavesdropping, spoofing is commonly known inside threats. Leakage of ... -
Curious learner: a generative neuro-symbolic approach for function execution & illustration using natural language
(Brac University, 2024-02)Generative models possess immense potential, but their ability to perform complex calculations is limited by the need to memorize vast amounts of data, leading to computational inefficiencies. Leveraging tools like the ... -
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 ... -
ResInvolution: an involution-ResNet fused global spatial relation leveraging model for histopathological image analysis under federated learning environment
(Brac University, 2024-05)Accessing image data in the domain of medical image analysis is challenging owing to concerns regarding privacy. Federated Learning is the approach used to get rid of this challenge. With millions of learning parameters, ... -
An autoencoder-based decentralized clustering leveraging model aggregation fusion strategy
(Brac University, 2024-05)Unsupervised clustering plays a crucial role in various real-life applications. It works by grouping similar data points together based on certain features or characteristics, without the use of predefined labels. The ... -
A transformer based approach to detect the sentiment of drivers in ride sharing platforms
(Brac University, 2024-04)Globally, ride-sharing is very popular, especially in developed countries. The scheme has been launched in many developing countries, and Bangladesh is no exception. The ongoing transportation problem and traffic jams ... -
A semi-supervised federated learning approach leveraging pseudo-labeling for Knee Osteoarthritis severity detection
(Brac University, 2024-06)Within medical image analysis, appropriately classifying the extent of knee osteoarthritis is a significant obstacle, made more difficult by the scarcity of annotated data and strict privacy rules. Conventional approaches ... -
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 ... -
PlantGuard: intelligent plant disease detection
(Brac University, 2024-05)Every year, there is significant crop loss in developing countries due to delays in identifying plant diseases. Prompt and accurate identification of these diseases, with less reliance on field experts, could greatly ... -
Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
(Brac University, 2024-06)The research provides a deep exploration of cryptocurrency price dynamics by blending technical analysis, sentiment analysis, and backtesting, aiming to reveal the hidden patterns, drivers, and irregularities in their ... -
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 ... -
Machine learning based stream selection of secondary school students in Bangladesh
(BRAC University, 2023-05)A strong civilization is built on a strong foundation, and education plays a vital role in acquiring the necessary information and skills for success in life. This thesis focuses on the education system in Bangladesh, ... -
A conceptual framework for analyzing critical cactors of PDS learning experience and PDE employment experience
(Brac University, 2023-12)This study aims to examine the relationship and status of education and employment for people with disabilities in Bangladesh. The study employs a mixed-methods approach, including a survey of people with disabilities ... -
ROBB: recurrent proximal policy optimization reinforcement learning for optimal block formation in bitcoin blockchain network
(Brac University, 2023-07)Blockchain is a ground-breaking technology that has changed how we manage and store protected data. It is a decentralized ledger that enables safe, open, and unchangeable record-keeping. It relies on a distributed network ... -
An android application to predict human activity using a deep learning LSTM model
(Brac University, 2023)The machine learning approach to estimate human activity using smartphone sensor data is challenging. In this project, the HAR approach is conducted based on the LSTM model and can recognize six different behaviors, i.e., ... -
ML based performance assurance and VoC management of highly convergence mobile operator network.
(Brac University, 2023-10)The convergence of technology in mobile operator networks has ushered in a new era of interconnectedness and communication efficiency. As these networks become increasingly complex, ensuring their optimal performance and ... -
A deep dive into node-level analysis with fusion RNN model for smart LTE network monitoring
(Brac University, 2023-09)Predicting and understanding traffic patterns have become important objectives for maintaining the Quality of Service (QoS) standard in network management. This change stems from analyzing the data usage on cellular ... -
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 ...
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