School of Engineering, Technology & Sciences
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Recent Submissions
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A Cross-Modal Benchmark of Deep Learning Encoders for Automated Liver Segmentation
(IUB, 2025-12)Many clinical processes, including the scheduling of liver transplants, volumetry, and management of chronic diseases, including cirrhosis and fibrosis, rely on accurate segmentation of the liver. These critical clinical ... -
Dual-Task Real-Time Low-Light Lane and Pothole Detection for Resource-Constrained Environments
(IUB, 2025)Lane detection and road hazard awareness are crucial for ensuring safety in autonomous driving and Advanced Driver-Assistance Systems (ADAS). These systems rely heavily on clear visual cues, which are often compromised in ... -
Enhancing Violence Detection: Comparative Analysis of Frame Difference and Conventional Methods Using the UCF Crime Dataset
(IUB, 2025-08)Violence is one of the biggest concerns in the world. It leads to big problems in both society and the economy. This is an important issue, according to both the World Health Organization and the Institute for Economics ... -
Ensemble Deep Learning for Retinal Disease Detection from Fundus Images: A Bilateral Ensemble Approach for Retinal Disease Classification
(IUB, 2025-12)Retinal diseases including Age-related Macular Degeneration (AMD), Diabetic Retinopathy (DR), Cataract, and Myopia, are among the most prevalent causes of irreversible vision loss worldwide. Early and accurate diagnosis ... -
Design and Implementation of a Microstrip Patch Antenna–Based Sensing System for pH Estimation of Aqueous Solutions Using Machine Learning
(IUB, 2025)This paper presents the design and implementation of a microstrip patch antenna-based sensing system for pH estimation of aqueous solutions using machine learning. Conventional pH sensors are widely used, such as frequent ... -
TinyML for Environmental Intelligence: Optimizing Tree-Based Ensembles for Real-Time, On-Device IAQ Forecasting
(Independent University, Bangladesh, 2025-12-14) -
Design and Development of IoT-Integrated Medical Devices for Real-Time Clinical Monitoring
(Independent University, Bangladesh, 2025-12)Reliable and affordable clinical monitoring remains a major challenge in low- and middle-income countries, where hospitals often face shortages of equipment, unstable power, and fragmented digital infrastructures. This ... -
Dual-Task Real-Time Low-Light Lane and Pothole Detection for Resource-Constrained Environments
(2026-01-04)Lane detection and road hazard awareness are crucial for ensuring safety in autonomous driving and Advanced Driver-Assistance Systems (ADAS). These systems rely heavily on clear visual cues, which are often compromised ... -
A Machine Learning Approach for Multi-Level Anxiety Screening among University-Going Students using Wireless EEG Signals
(IEEE, 2025-06-23)Anxiety is a widespread mental health condition affecting millions globally, often resulting in significant emotional and physical symptoms. Accurate detection of anxiety levels is essential to provide timely interventions ... -
EEG-based Mouse Cursor Control using Motor Imagery-based Brain-Computer Interface
(2023-10-01)A brain-computer interface (BCI) framework uses computer algorithms to detect mental activity patterns and manipulate external devices. Most commonly used in imaging technologies is electroencephalography (EEG) because of ... -
A Comprehensive Hierarchical Review of Blockchain Technology in Revolutionizing Carbon Emission Trading System
(IUB, 2025-08)The growing climate crisis has raised the need to search for reliable mechanisms which could reduce greenhouse gas gas emissions worldwide. Carbon markets can continue to play a central role in this effort but often there ... -
A Unified Lightweight Framework for Detecting Multimodal Attacks
(IUB, 2025-12-13)Modern Vision-Language Model (VLM) has shown tremendous performance in multi- modal reasoning, captioning, retrieval and generative tasks, but it is also fatally suscep- tible to two types of attacks: adversarial ... -
Entropy Regularized Transformer Based - Anomaly Detection
(IUB, 2025-12) -
Data-Driven Study of Behavioral Predictors of Myopia: A Machine Learning Based Early Screening Approach
(IUB, 2025)Myopia is growing very fast, particularly in school-going children, primarily owing to lifestyle and educational transformations of digital technology. The research is an evaluation of machine learning models with ... -
Coronary Microvascular Disease Detection Using Ensemble Learning and Advanced ECG Signal Processing
(IUB, 2025-12)Coronary Microvascular Disease (CMD) is a type of ischemic heart disease which affects the very small blood vessels of the heart. It causes chest pain and reduces blood flow. As the large arteries look normal in standard ... -
RGC: A Radio AGN Classifier Based on Deep Learning
(IUB, 2025-12)No prior machine-learning classifier for bent RAGNs has used both unlabeled data and purely visually verified labels, despite the crucial role that wide-angle tail (WAT) and narrow-angle tail (NAT) radio active galactic ... -
Role of DevOps in the Lifecycle of Software Development in the context of Bangladesh
(IUB, 2025)DevOps (Development and Operations team) is a foundational approach in the recent software engineering scene, integrating it to improve collaboration, automation, and continuous delivery. Its adoption varies across ... -
Advancing Bengali Dialect Identification (DiD) Through The BengDiDa Dataset & Dialect Classification
(IUB, 2025-05)Dialect Identification (DID) is necessary for recognizing linguistic diversity alongside improving speech technologies, especially for Bengali dialects which are considerably diverse in nature due to influence inflicted ... -
A Comprehensive Approach to Software Quality Assurance (SQA): AI-Driven Regression Testing and Continuous Improvement Strategies for Bangladeshi Software Industry
(IUB, 2024-10-28)The key aims of our thesis were to acquire hands-on understanding of current trends in the software engineering industry, engage in research, and explore various technological elements within case studies and real-world ... -
Risk Mitigation in Software Engineering: Practices, Challenges and Opportunities
(IUB, 2024-10-28)The titled as ‘Risk Mitigation in Software Engineering: Practices, Challenges and Opportunities’ combines three separate studies that were done focusing on security requirements gathering, risk management practices in ...
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