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Improving healthcare sustainability using advanced brain simulations using a multi-modal deep learning strategy with VGG19 and bidirectional LSTM (2025)
Journal Article

Background: Brain tumor categorization on MRI is a challenging but crucial task in medical imaging, requiring high resilience and accuracy for effective diagnostic applications. This study describe a unique multimodal scheme combining the capabilitie... Read More about Improving healthcare sustainability using advanced brain simulations using a multi-modal deep learning strategy with VGG19 and bidirectional LSTM.

Qualitative system dynamics approach to modelling cost escalation determinants in Nigerian public sector projects (2025)
Journal Article

Purpose-Cost escalation has been identified as one of the most significant challenges and recurring issues in the delivery of social and economic infrastructure in the Nigerian public sector. Like many other countries in the Global South, the Nigeria... Read More about Qualitative system dynamics approach to modelling cost escalation determinants in Nigerian public sector projects.

MHD Analysis of Couple Stress Nanofluid through a Tapered Non-Uniform Channel with Porous Media and Slip-Convective Boundary Effects (2025)
Journal Article

The current research addresses the peristaltic transport mechanism that propels fluid through a conduit through rhythmic contraction and relaxation of the conduit walls, a phenomenon evident in numerous biological systems, including the gastrointesti... Read More about MHD Analysis of Couple Stress Nanofluid through a Tapered Non-Uniform Channel with Porous Media and Slip-Convective Boundary Effects.

Electro-Osmotic Peristaltic Streaming of a Fractional Second-Grade Viscoelastic Nanofluid with Single and Multi-Walled Carbon Nanotubes in a Ciliated Tube (2025)
Journal Article

Mathematical modelling of carbon nanotubes (CNTs) in biological fluids is essential for drug delivery, biosensing, and targeted therapy. This study explores the transport dynamics of single-walled (SWCNTs) and multi-walled (MWCNTs) carbon nanotubes i... Read More about Electro-Osmotic Peristaltic Streaming of a Fractional Second-Grade Viscoelastic Nanofluid with Single and Multi-Walled Carbon Nanotubes in a Ciliated Tube.

A physiology digital escape room enhances physiological data analysis skills and student experience (2025)
Presentation / Conference Contribution

Active and gamified teaching methods have received significant interest within higher education over the past decade, with an increased push from higher education institutions to more actively engage students with their education. One example of acti... Read More about A physiology digital escape room enhances physiological data analysis skills and student experience.

Characterisation and phylogenetic analysis of the complete mitochondrial genome of two endemic lampreys from Greece (Caspiomyzon hellenicus and Caspiomyzon graecus) using Long-Read technology (2025)
Journal Article

Background: The genus Caspiomyzon is comprised of three species, two of which are found in Greece (Caspiomyzon hellenicus and Caspiomyzon graecus). Both species are endemic with very restricted distribution and are classified as Critically Endangered... Read More about Characterisation and phylogenetic analysis of the complete mitochondrial genome of two endemic lampreys from Greece (Caspiomyzon hellenicus and Caspiomyzon graecus) using Long-Read technology.

Type synthesis and analysis of reconfigurable modules for closed-loop cable-driven mechanisms based on geometric constraints (2025)
Journal Article

Cable-driven mechanisms, particularly in closed-loop configurations, have demonstrated significant advancements in flexible drive systems. However, the cable tension changes caused by the closed-loop configuration cannot be effectively compensated. R... Read More about Type synthesis and analysis of reconfigurable modules for closed-loop cable-driven mechanisms based on geometric constraints.

Gas pipeline defect detection based on improved deep learning approach (2025)
Journal Article
Zhang, T., Ma, C., Liu, Z., ur Rehman, S., Li, Y., & Saraee, M. (2025). Gas pipeline defect detection based on improved deep learning approach. Expert systems with applications, 267, Article 126212. https://doi.org/10.1016/j.eswa.2024.126212

The working conditions of gas pipelines directly impact urban populations and factory operations. However, accurate and rapid detection of gas pipeline defects is challenging. To improve the accuracy of gas pipeline defect detection, we propose an im... Read More about Gas pipeline defect detection based on improved deep learning approach.