School of Data and Sciences (SDS)
Browse by
Sub-communities within this community
Recent Submissions
-
Credit card fraud detection through advanced machine learning techniques
(BRAC University, 2024-10)Nowadays, digital and electronic transactions and electronic payments systems in modern days have become convenient but now it is a major challenge to face credit card fraud. Modern fraud patterns are so complex and ... -
Identifying malnutrition from facial features of children using deep dearning
(BRAC University, 2024-10)Malnutrition remains a significant global health issue, particularly affecting children, leading to severe developmental challenges. Current diagnostic methods are often inefficient, relying on time-consuming physical ... -
Audio classification using quantum techniques
(BRAC University, 2024-10)Quantum computing is a new type of computing system that is rapidly emerging with immense success in the area of computer science. In our day-to-day lives, there are different types of sounds in our surroundings, which ... -
Criminal activity detection from videos under low light condition using deep neural network
(BRAC University, 2024-10)Criminal activity detection from footage, especially in low-light circumstances, offers a considerable problem due to reduced visibility, noise, and detail loss. In this research, we present an approach for detecting ... -
Automated selection of optimal cricket team using machine learning
(BRAC University, 2024)The process of selecting the best 11 players for a cricket team is a complex and critical task that requires considering various factors such as individual player performance, team dynamics, and match conditions. Traditional ... -
An efficient deep learning-based approach for Glioblastoma detection from MRI images
(BRAC University, 2024-10)In essence, an abnormal increase of brain cells is referred to as a brain tumor. Tumors come in two varieties: benign (non-cancerous) and malignant (cancerous). Cancerous tumors can originate in the brain itself (Primary) ... -
Safe reinforcement learning-based system for connected and autonomous vehicle charging infrastructure
(BRAC University, 2024-05)This paper is about creating a system that helps to manage the charging of electric vehicles that are connected and can drive autonomously taking into consideration the safe reinforcement learning outcomes in this process. ... -
Chronos with ensemble GBT: a hybrid framework for GDP forecasting with zero-shot learning
(BRAC University, 2024-10)Whether it is global or national, accurate economic forecasting is crucial for a country. It paves the direction of a country in terms of policy making, resource allocation, and risk management etc. There are several ... -
Exploring architectural floor plan appropriateness in context of Bangladesh leveraging graph neural networks in spatial context
(Brac University, 2024-09)This paper investigates the use of Graph Neural Networks (GNNs) for classifying architectural floor plans and establishing the applicability of international floor plans with respect to Bangladeshi architectural standards. ... -
Point-cloud-based 3D object detection for autonomous navigation in unmanned ground vehicles
(Brac University, 2024-11)Autonomous navigation for UGVs faces significant challenges in detecting objects accurately in complex environments. Despite advancements in 2D object detection, the absence of robust 3D object detection models leave a ... -
Predictive models for customer retention in Bangladesh: enabling proactive strategies
(Brac University, 2024-10)Ever since artificial intelligence was discovered, numerous research endeavours have concentrated on comprehending its significance inside the corporate environment [13]. These days customers are more into the quality ... -
Analyzing and predicting trends in contemporary social discourse through hashtag campaigns
(BRAC University, 2024-10)In the current landscape of social media, hashtags play a significant observable role in boosting the movement of information across a diverse range of fields and people. This research aims to identify and then examine ... -
Unveiling political rhetoric: exploring natural language processing methods to analyze political discourse
(Brac University, 2024-10)Politics has significant effects on how a country develops and how we live our daily lives, affecting things like public services, social norms, and economic policies, extending its impact to other countries. The United ... -
Brain tumor sectionalization through semantic segmentation approach
(Brac University, 2024-10)Accurate brain tumor detection and segmentation from magnetic resonance imaging (MRI) scans are vital for effective diagnosis, treatment planning, and patient monitoring. However, manual segmentation is time-consuming ... -
Optimized deep learning model for plant disease detection using leaf images
(Brac University, 2024-10)Accurate and timely plant disease detection is very much essential in crop health and agricultural yield. The work below describes an improved deep learning model for the classification of plant diseases through images. ... -
Synergistic effect of bacteriophage with antibiotic in the eradication of vibrio cholerae infection: an in-vivo analysis in mice model
(Brac University, 2024-08)Cholera remains a significant global health threat, especially in regions like Bangladesh with annual outbreaks. The causative agent, Vibrio cholerae, thrives in aquatic environments and forms biofilms, complicating ... -
Adaptive traffic signal control using image analysis and AI techniques
(Brac University, 2024-10)Traffic jam is a significant obstacle that makes travel within the city very inconvenient. The systems, such as traffic lights, that are currently in place do not solve this problem. In usual scenario, traffic lights ... -
Improving Bangla sign language detection from thermal imagery: leveraging thermal heatmap-induced transfer learning and deep neural networks
(Brac University, 2024-10)This research explores fusion of deep learning for sign language recognition and thermal imaging, focused on advancing communication systems for the hearing impaired. Recognition of sign language is a crucial technology ... -
Utility of large language models to extract commonsense knowledge
(Brac University, 2024-10)Large Language models are artificial intelligence models that hold the capability to understand and generate natural language text as they are trained using large amounts of data for a lot of languages. The sources these ... -
An approach to detecting fake and misleading content on YouTube for the older generation in Bangladesh, using HCI and multilingual NLP models
(Brac University, 2024-10)The rapid advancement of digital technologies has dramatically impacted how people access information and connect globally. However, this revolution presents specific challenges, especially for the older generation, who ...
RSS 1.0