United International University

FUSED-Net: Detecting traffic signs with limited data

Automatic Traffic Sign Recognition is paramount in modern transportation systems. However, curating large-scale datasets for diverse traffic sign detection remains impractical. In this context, we present FUSED-Net, a novel approach that enhances Few-Shot Object Detection (FSOD)...

Reassessing the Education–FDI–Trade Nexus for a Sustainable Future: Evidence from Sub-Saharan Africa

Background Education, foreign direct investment (FDI), and trade openness influence environmental sustainability through competing human capital, technology transfer, scale, composition, and pollution-haven channels. Evidence from Sub-Saharan Africa remains fragmented and often o...

Provenance by Construction: A Contract-First Architecture for Reproducible and Auditable LLM-Assisted Risk Intelligence from Heterogeneous Public Data

Analytical systems that derive risk indicators from heterogeneous public data increasingly incorporate large language models into the extraction path. This introduces a structural auditability problem: a published number may depend upon a model version, a prompt revision and a da...

PPORLD-EDNetLDCT: A Proximal Policy Optimization-based reinforcement learning framework for adaptive low-dose CT denoising

Low-dose computed tomography (LDCT) is critical for minimizing radiation exposure, but it often leads to increased noise and reduced image quality. Traditional denoising methods, such as iterative optimization or supervised learning, often fail to preserve image quality. To addre...

An interpretable machine learning framework for predicting next day firm level market stress in the Dhaka Stock Exchange

Frequent market instability and the lack of rigorously validated forecasting frameworks pose significant challenges for predicting market stress in the Dhaka Stock Exchange (DSE). This study proposes a leakage-safe machine learning framework for next-day market stress prediction...

A review of digital addiction as a predictor in ML-based academic performance prediction

The rapid growth of digital technologies has raised growing concerns about digital addiction and its potential impact on academic performance of students. Although machine learning (ML) techniques are widely employed to predict academic outcomes, the systematic integration of dig...

Mapping the intellectual structure of climate migration and labor market dynamics in developing countries: a bibliometric review

Purpose This article outlines the intellectual landscape and thematic development of the literature on climate-induced migration and labor market dynamics in developing countries. Design/methodology/approach Based on performance analysis, co-citation analysis, bibliographic coupl...

Sustainability Disclosure, Governance, and Corporate Performance: Evidence from Accounting- and Market-Based Measures

Background This study examines the impact of sustainability disclosure — both environmental and social — on the financial performance of listed companies in Bangladesh. With increasing international attention on sustainability reporting, there is little evidence on how the qualit...

A systematic review of machine learning and explainable artificial intelligence for electrocardiogram based cardiovascular disease prediction

Cardiovascular disease (CVD) are a leading cause of global morbidity and mortality, making early and accurate detection essential for improving patient outcomes. The electrocardiogram (ECG) is one of the most important diagnostic tools for identifying various cardiac abnormalitie...

Reassessing the Education–FDI–Trade Nexus for a Sustainable Future: Evidence from Sub-Saharan Africa

<ns5:p>Background Education, foreign direct investment (FDI), and trade openness can influence environmental sustainability through competing human-capital, technology-transfer, scale, composition, and pollution-haven channels. Evidence for Sub-Saharan Africa remains fragmented a...

Environmental sustainability in belt and road economies: quantile GMM STIRPAT evidence on the roles of trade, digitalization, renewable energy, innovation, urbanization, and human development

The stress on environmental systems of the involved economies has increased due to the fast rate of economic integration encouraged by the Belt and Road Initiative. The massive infrastructural spending, intensifying trade movement, and quickening urbanisation have simultaneously...