School of Engineering, Technology & Sciences: Recent submissions
Now showing items 41-60 of 359
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Research on threat analysis and defense strategies for PABX voice server
(IUB, 2025-05)The evolution of Cloud-PABX calling architecture introduced a revolutionary development in voice communication architecture, and this solution is receiving discernible attention because of its long-distance remote branch ... -
SMART AI: designing intelligent systems for health, finance, and medical decisions for citizens.
(IUB, 2025-09)As global populations age, particularly in low- and middle-income countries (LMICs), there is an urgent need for intelligent systems that address the intertwined challenges of health monitoring, medical diagnostics, and ... -
BongoAgro: a mobile application for reducing postharvest losses in fisheries
(IUB, 2025-09)As part of the fisheries industry in Bangladesh, its huge losses in the postharvest stage amounting to 25–30% annually are a significant economic and nutritional issue, as it occurs at an estimated economic cost of about ... -
BongoAgro: a mobile solution for postharvest loss reduction fruits and vegetables
(IUB, 2025-09)The fruits and vegetables sector of Bangladesh suffers postharvest losses estimated at 25-40% of production, the economic and nutrition consequences of which are huge. Such losses are promoted by inefficient cold storage, ... -
Ai-accelerated modernization of legacy healthcare software
(IUB, 2025-09)Modernizing legacy healthcare software systems remains a critical challenge due to strict compliance requirements, operational inefficiencies, and patient safety concerns. This thesis introduces an AI-accelerated modernization ... -
A software engineering framework for designing, governing, and deploying AI-driven, culturally adaptive systems: a mental health case study in Bangladesh
(IUB, 2026-05)Mental health disorders represent a critical and growing public-health challenge in Bangladesh, yet access to affordable, culturally appropriate, and trust worthy psychological support remains severely limited. Empirical ... -
Supporting Hemodialysis Care coordination in Bangladesh: user-centered design of an information exchange platform
(IUB, 2026-06)Chronic kidney disease (CKD) is defined as a progressive condition where a gradual loss of kidney function over time is characterized by the requirement of kidney-preserving or replacement therapies in the advanced stages. ... -
Design and validation of an integrated governance, quality maturity and architecture–economics framework for sustainable large-scale agile and ERP systems
(IUB, 2026-05)Large-scale Agile and Enterprise Resource Planning (ERP) systems have become critical infrastructure for modern organizations, yet their sustainability remains threatened by fragmented governance, weak quality maturity ... -
Deep Learning Framework for Automated Lung and Pulmonary Nodule Segmentation in Thoracic CT Scans
(IUB, 2026-04)This thesis presents a deep learning framework for automated segmentation of bilateral lungs and pulmonary nodules from CT scans to support early lung cancer detection. A U-Net model with a ResNet-18 backbone was developed ... -
Mapping School Vulnerability to Brick Kiln Exposure in Bangladesh Using Remote Sensing and Geospatial Analysis
(IUB, 2026-04)This study investigates the exposure of schools in Bangladesh to air pollution caused by nearby brick kilns, a major contributor to PM2.5 pollution. Using satellite imagery, deep learning, and GIS-based spatial analysis, ... -
Empirical Evidence on Data Leakage from Improper Resampling Practices in Diabetes Care
(IUB, 2026-04)Machine learning (ML) is a popular tool for diabetes prediction. Medical datasets, however, contain a majority of healthy patients and a minority of diabetic patients, creating a severe class imbalance. Researchers use ... -
Drought-Sensitive Machine Learning for Robust Water Level Forecasting in the Chitra and Nabaganga River Basins
(IUB, 2026-04)Accurate water-level forecasting plays a crucial role in proper water resource management, flood control and agricultural planning especially in climate sensitive areas like Bangladesh. Nonlinear interactions and dynamic ... -
SHUCHOK: Early Identification of ADHD in Bangladeshi Children Using Machine Learning Models and a Questionnaire-Based App Interface
(IUB, 2026-04)The study focuses on attention deficit hyperactivity disorder that is underdiagnosed in Bangladeshi children, a critical public health concern. Due to the lack of awareness, high levels of social stigma and a severe ... -
Anomaly Detection in Petroleum Production Wells Using Machine Learning: A Comparative Study on the Petrobras 3W Dataset
(IUB, 2026-04)Anomaly detection in offshore oil production systems is a safety-critical task, with un-detected faults contributing directly to equipment failures, environmental incidents, and significant production losses. Machine ... -
Machine vision-based pepper breed classification Using yolov10 and transfer learning models
(IUB, 2026-04)This study presents a deep learning–based framework for classifying ten varieties of peppers commonly grown in Bangladesh, including capsicum, local chili, Shimla, and Bombay chili. A balanced dataset of 1,000 images was ... -
Machine Vision–Based Classification of Rare Fruits in Bangladesh Using Transfer Learning and Custom CNN Models
(IUB, 2026-04)This study presents a deep learning framework for recognizing six rare Bangladeshi fruits using image classification. A dataset of 1,800 real-world images was created, and a lightweight Custom CNN was compared with ... -
Comparative Analysis of Sensor Fusion Techniques for Odometry Estimation in a Four-Wheeled Holonomic Drive Robot Using Wheel Encoders and IMU
(IUB, 2026-04)This thesis presents a comparative study of odometry and localization methods for a four-wheeled holonomic robot using wheel encoders and a BNO055 IMU. Three localization tiers were developed and evaluated: open-loop motion ... -
The Hidden Complexity of Mental Health: Multi-Entropy Analysis of Response Patterns in Depression Severity Assessment
(IUB, 2026-04)This study proposes an entropy-based framework for depression severity assessment using PHQ-9 responses. Instead of relying only on total questionnaire scores, the system analyzes response patterns using information-theoretic ... -
Deep Learning-Based Stenosis Segmentation in X-ray Angiography: Vision Transformers vs. CNNs
(IUB, 2025-12)This thesis compares ten deep learning models for automated stenosis segmentation in X-ray coronary angiography (XCA) images to support coronary artery disease (CAD) diagnosis. The study evaluates both Transformer-based ... -
OptiHealth: An AI-Driven Health Management System with Multi-Modal Analysis and Personalized Recommendations
(IUB, 2026-04)This thesis presents three interconnected AI systems designed to improve medical image analysis and patient support. First, CXR-Adaptive enhances chest X-ray disease detection using YOLOv12 with adaptive augmentation ...
