Multimedia University

A review of recent advances in privacy-preserving federated learning for healthcare applications

The rapid adoption of artificial intelligence (AI) in healthcare, driven by the increasing availability of electronic health records (EHRs), medical imaging systems, genomic data, and wearable devices, has created significant challenges related to patient privacy, data security,...

Computational Investigation of Different Taper Ratios and Chimney Divergence Effects on Solar Chimney Power Plant Performance

Solar chimney power plants (SCPPs) are a promising renewable energy technology whose performance is strongly influenced by geometric configuration. This study investigates the effects of collector taper ratio (TR) and chimney divergence ratio (CORR) on the thermo-fluid behavior a...

Green Initiatives and Financial Performance: ESG Associations and Corporate Life-Cycle Contingencies in China’s Heavily Polluting Industries

This study examines how green initiatives are associated with financial performance through a statistical indirect pathway involving environmental, social, and governance (ESG) assessment and whether that pathway varies across life-cycle stages. Using an unbalanced panel of 6579...

Eco-physiological and biochemical traits underpin drought tolerance and yield stability in soybean (Glycine max L.)

Drought stress severely limits soybean productivity by impairing growth, physiological processes, and yield. This study evaluated the morpho-physiological, biochemical, and yield responses of three soybean genotypes (AGS 383, NCS 1, and BU Soybean-1) under control, moderate, seve...

Impact of non-executive directors’ expertise on product quality management: the moderating role of board gender diversity

The expertise of non-executive directors (NEDs) strengthens product quality management through effective oversight and strategic guidance, leading to improved governance and more informed decision-making that supports organisational efficiency, reputation, and long-term sustainab...

Digital Transformation and Environmental Pillar of ESG ‐Based Performance Under Financing Constraints: The Mediating Role of Green Innovation in Chinese Listed Firms

ABSTRACT This study builds upon existing work that links digital transformation (DT), financing constraints (FC), green innovation (GI), and firms' environmental pillar of ESG‐based performance (SP(E)), and further examines whether DT supports SP(E) through GI under FC. Based on...

Surface amorphization enables phonon mode activation and enhanced thermal transport at 2D/3D van der Waals heterostructures

Efficient heat dissipation across van der Waals (vdW) interfaces between two-dimensional (2D) materials and three-dimensional (3D) substrates remains a fundamental bottleneck in nanoelectronic devices. Here, using molecular dynamics simulations, we demonstrate that introducing an...

Benchmarking the electricity intensity of human well-being: A dual-frontier analysis of OECD countries

This study develops an electricity intensity of human well-being (EHWB) measure for 31 OECD countries over 1980–2021 and examines how economic development, institutional quality, and globalization are associated with the amount of electricity used per unit of health-related well-...

Deep Learning Benchmarks for Multi-Step Photovoltaic Power Forecasting: Comparative Assessment of GRU, LSTM, and BiLSTM Architectures

Accurate photovoltaic (PV) power forecasting is essential for renewable energy integration, dynamic reserve allocation, and generation scheduling. Unpredicted generation ramps induce substantial voltage and frequency deviations on grid-connected distribution networks. This paper...

A data driven assessment of structural barriers to electrical equipment manufacturing in Bangladesh: trade dependency, industrial competitiveness, and policy pathways

The rapid expansion of Bangladesh’s power and industrial sectors has led to a significant increase in demand for electrical equipment, a large portion of which is currently fulfilled through imports, resulting in sustained foreign currency outflows and supply chain vulnerabilitie...

Class balanced diabetic retinopathy image synthesis using a latent diffusion framework

Diabetic Retinopathy (DR) is one of the major causes of preventable blindness globally. Automated screening for DR is critical but is severely hindered by data scarcity and class imbalance. Real-world datasets, such as APTOS 2019, exhibit extreme class imbalance, where sight-thre...

DeepBreastNet: Multi-Modal Deep Learning for Comprehensive Breast Cancer Diagnosis Across Heterogeneous Imaging Modalities

Breast cancer is one of the most common and deadly cancers worldwide, making early and accurate diagnosis essential for effective treatment. While deep learning methods have shown promise in breast cancer detection, most existing approaches focus on individual imaging modalities,...

From tradition to smart agriculture: how value and technology readiness shape farmers’ adoption decisions

Purpose This study aims to investigate the slow adoption of smart farming technologies (SFTs) in developing regions, where farmers continue relying on traditional methods despite modernization policies. It examines how farmers’ value perceptions and technology readiness (TR) shap...

The financial benefits of sustainability: analyzing the impact of sustainable finance on capital costs for London stock exchange firms

Corporations that implement sustainable financial strategies experience a reduction in borrowing costs. A broader range of investors, particularly those prioritizing ESG considerations, is typically attracted to these firms. Investors view a high cost of capital as an indicator o...

Design, RLC equivalent circuit modeling, and ML/DL-based performance prediction of a graphene MIMO antenna for 6G THz systems

Intense interest in ultra-high-speed, low-latency, and large-capacity wireless communication has accelerated the development of terahertz (THz) antenna systems for sixth-generation (6G) networks. This work presents a compact graphene-based 1 × 2 multiple-input, multiple-output (M...

Advanced machine learning techniques for daily streamflow forecasting: a case study of the Brahmaputra River

Accurate multi-day streamflow forecasts support flood preparedness, but single holdout scores can conceal lead-time dependence, temporal instability, baseline skill, and uncertainty. This study compares Long Short-Term Memory, Random Forest, Multiple Linear Regression, Multi-Laye...

A hybrid deep learning framework for acoustic pest detection

The Food and Agriculture Organization (FAO) estimates that pests cause up to 40% of the world's crop production to be lost each year. Therefore, timely crop pest detection is essential for sustainable agriculture, yet it is still difficult in large, noisy field settings. This stu...

Orchestrating external and internal resources for BDA capability-enabled SC resilience: Evidence from manufacturing industry

Global manufacturing supply chains are becoming increasingly vulnerable to the complex and frequent disruption that undermines the sustainability and effectiveness. Big Data Analytics Capability (BDAC) has become a key driver of supply chain resilience (SCRes), but existing liter...

Triple band Yagi antenna design and performance prediction for next generation (6G) wireless applications using supervised regression models

This study presents a high-performance Yagi antenna designed for sub-terahertz (sub-THz) and terahertz (THz) wireless communication applications, addressing the growing demands of emerging technologies such as high-resolution imaging, short-range secure communication, sensing, sp...

The impact of global influence on peace and stability conditions in G20 countries

Peace, cooperation, and stable relations among nations are essential for maintaining global stability. This study applies Power Transition Theory (PTT) to examine how global factors influence peace and stability conditions among G20 countries. It uses 16 years of data (2008–2023)...