Department of Computer Science and Engineering (CSE): Recent submissions
Now showing items 1-20 of 1723
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Smart dashboard - a project by a2i (Aspire to Innovate)
(BRAC University, 2024-10)The official works in Bangladesh are mainly done and recorded on paper. Basically, people do paperwork in government offices. We might have seen that many private sectors have turned most of their work online or ... -
Divide2Conquer (D2C): a comprehensive study on decentralized overfitting remediation in deep learning
(BRAC University, 2024-10)Overfitting remains a persistent challenge in deep learning, primarily attributed to data outliers, noise, and limited training set sizes. This thesis presents Divide2Conquer (D2C), a novel technique designed to address ... -
A performance evaluation framework for public blockchain based systems
(BRAC University, 2024-10)With the revolution of blockchain technology, smart contracts open a door for programs to be executed inside the blockchain. This allows programmers to build applications and deploy them in different blockchain systems. ... -
RiskRadar: an NLP-driven summarization system for query-based security insights
(BRAC University, 2024-10)The evolving complexity and frequency of cyber threat incidents demand the development of robust, user-friendly systems that can educate and assist users, and help them understand and mitigate them as much as possible. ... -
Loan approval prediction using machine learning algorithms
(BRAC University, 2024-10)This research describes the potential of several classifiers of classical machine learning and architecture of deep neural networks when predicting the status of a loan application. The data set of 613 observations and ... -
Unveiling agricultural insights: leveraging deep learning for enhanced diagnostic accuracy in Maize disease detection with explainable artificial intelligence
(BRAC University, 2024-10)Maize is a vital crop that feeds over a billion people worldwide and supports numerous industries. However, maize production is threatened by devastating plant diseases such as Maize Lethal Necrosis (MLN) and Maize Streak ... -
Depth-aware object detection and region filtering for autonomous vehicles: a monocular camera-based novel integration of MiDaS and YOLO for complex road scenarios with irregular traffic
(BRAC University, 2024-10)In this era of technological advancement, autonomous vehicles strive towards revolutionizing the transportation system. Object detection and distance measurement are critical for autonomous driving, particularly in dynamic ... -
Analyzing financial stress and its impact on mental health among Bangladeshi undergraduate students using SPSS and SmartPLS
(BRAC University, 2024-10)Undergraduate students are particularly susceptible to financial stress, which can severely undermine both mental health and academic achievement. Students were required to skillfully navigate a complex financial ... -
Advancing sentiment classification in Bangla text: an enhanced BERT approach on the SentNoB dataset
(BRAC University, 2024-10)Since social media has entered into our lives, it has set the scene for unmatched online communication and information sharing for a significant amount of time. These platforms enable people to share their thoughts, ... -
Utilizing quantum machine learning for efficient drug discovery
(BRAC University, 2024-05)The goal of this research is to introduce the non-practicing reader to the new discipline of quantum machine learning, which merges the machine learning and quantum computing fields, as well as to the emerging topic of ... -
Feature-driven deep learning for Osteoporosis detection: leveraging explainable AI
(BRAC University, 2024-10)Osteoporosis, a widespread bone disorder affecting over 200 million people globally, is associated with significant morbidity, particularly due to increased fracture risk. While traditionally considered a condition ... -
Determining intensity of mental state of an unsound individual through text using ML
(BRAC University, 2024-10)This research investigates the application of machine learning to detect and classify the intensity of various mental health conditions through text analysis. By analyzing user-generated statements, the study aims to ... -
Internship on utilizing RPA to improve efficiency in IT operations
(BRAC University, 2024-07)Robotic Process Automation (RPA) is the practice of automating repetitive and rule-based processes inside an organization using software robots or bots. It boosts productivity and efficiency by reducing human error and ... -
Using NASA’s night light data analyzing poverty index Bangladesh
(BRAC University, 2024-10)In the never-ending quest to reach Sustainable Development Goal 1 (SDG 1), which is to end poverty, new and different ways of doing things are needed, especially in places where collecting data the old way is hard. ... -
A comprehensive hybrid framework for Parkinson’s disease detection: integrating handcraft features along with deep learning-based feature extraction with variational autoencoder and traditional machine learning techniques for classification
(BRAC University, 2024-10)Neurodegenerative disorders, such as Parkinson’s disease, present a significant medical challenge, necessitating innovative approaches for detection. This thesis introduces a comprehensive hybrid framework that combines ... -
Detection of pulmonary diseases from chest X-ray images using deep learning model
(BRAC University, 2024-10)Deep learning models are important in efficiently identifying different pulmonary diseases from Chest X-ray Images (CXRs). Pneumonia is one of the most common lung diseases that cause death. Especially, stage 4 pneumonia ... -
Structural crack classification and grading after disaster: a supervised learning approach
(BRAC University, 2024-10)A structure can be cracked by various disastrous events (for example: flood, cyclone, volcanic eruption, earthquake, fire outbreak). When a disastrous event occurs in an area, a lot of structures get damaged within a ... -
Understanding the economic impact of botnets in Bangladesh: insights and strategies from attacker & victim perspectives
(BRAC University, 2024-10)Botnets pose a significant threat to Bangladesh’s cyberspace and to its economic stability, especially in critical sectors such as finance, government and technology. This research investigates the life cycle and economic ... -
TRI-FED-RKD: integrating forward-reverse distillation with SNN and CNN within federated learning using tri layer hierarchical aggregation based architecture
(BRAC University, 2024-10)Federated Learning (FL) is a decentralized machine learning paradigm that enables training a global model across numerous edge devices while preserving data privacy. However, FL faces significant challenges, particularly ... -
Internship as a front-end developer
(BRAC University, 2024-09)This report details my learning and experiences from my internship at Headroom Group as a front-end developer intern. I was fully engaged in the dynamic and everevolving field of web development throughout 6 months, with ...
