School of Engineering, Technology & Sciences: Recent submissions
Now showing items 61-80 of 359
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Machine-Vision-Based Bangladeshi Geographical Indication (GI) Dessert Recognition
(IUB, 2026-04-25)Geographical Indication (GI) certification preserves products whose identity and value are linked to their geographical origin. Despite the cultural and economic importance of Bangladeshi GI-certified desserts, no benchmark ... -
A Baseline Analysis of Cross-Modal Liver Tumor Segmentation and the Role of Frozen Encoder
(IUB, 2026-04)Accurate liver tumor segmentation is critical for surgical planning, volumetry, and treatment monitoring across diverse liver pathologies and clinical applications. Both Computed tomography (CT) and Magnetic resonance ... -
Object Detection and Localization Using Lightweight Convolutional Neural Networks for Low-Resolution Thermal Sensor Data
(IUB, 2026-04)Embedded monitoring systems that rely on RGB cameras raise well documented privacy concerns in sensitive spaces. Low-resolution thermal sensors offer an alternative: The Panasonic AMG8833 Grid-EYE outputs only an 8×8 ... -
JewelNet: A Custom CNN and Transfer Learning–Based Approach for Fine-Grained Jewelry Classification
(IUB, 2026-04)Fine-tuned jewelry image classification poses a considerable challenge to the computer vision application due to intraclass similarity, reflective metal material, complex background, and the absence of the corresponding ... -
Theoretical Analysis of Electromagnetic Modes in Stratified Media
(IUB, 2026-02-26)Electromagnetic wave propagation in stratified conducting media is a fundamental problem in underwater wireless communication and geophysical exploration. However, the accurate modeling of such environments is computationally ... -
Page Curve Like Entanglement Dynamics in Many-Body Quantum Systems: A Study of a Free Fermionic Model
(IUB, 2026-02)This thesis investigates entanglement dynamics in open quantum many-body systems, focusing on a one-dimensional free-fermion model in which a finite system is coupled to a large environment. We study the model introduced ... -
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 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 ...
