The demand for reliable and sustainable infrastructure necessitates a fundamental shift in engineering materials, moving beyond incremental improvements toward an integrated paradigm combining intrinsic performance enhancement, functional adaptability, and intelligent design. In this perspective, we...

The intelligent transformation of agriculture places plant growth prediction as a critical component for ensuring food security, optimizing resource allocation, and enhancing sustainable productivity. Traditional methods reliant on empirical or simplified mechanistic models struggle with the nonline...

This article develops a constructive approach to the Painlevé equivalence problem based on explicit normalization and residual obstruction analysis. Instead of starting from the full invariant complexity of the general point-equivalence problem, we use target-adapted reductions that convert equivale...

This paper explores heat transfer and MHD flow of different shapes of (Ag-TiO$_{2}$/PAO Oil) hybrid nanoparticles through an unsteady radially stretching sheet consider variable thermal conductivity and viscosity. The present investigation explores the thermal radiation impact of different shapes (p...

The morphological transformation of methane hydrates during re-exploitation, caused by depressurization and changes in reservoir environment, significantly impacts hydrate extraction. The present study explores the adsorption and desorption behaviour of methane under different environmental factors...

Retrial queues arise in various applications such as call centers, services, and computer networks. The study of retrial queues is an important research branch of Queueing Theory. Retrial queues are characterized by the feature that customers who cannot receive service upon arrival do not queue but...

The increasing complexity of global supply chains has made third-party logistics (3PL) service providers essential for companies seeking operational flexibility and cost efficiency. On-time delivery, a critical performance metric, directly impacts customer satisfaction, long-term business partnershi...

This study investigates the heat transfer and Marangoni convection flow of a hybrid Al$_2$O$_3$-Cu/water nanofluid over a stretching/shrinking sheet. Surface tension-driven thermal Marangoni convection arises from the wall temperature gradient. The novel aspects include the combined effects of a Rig...

Enthalpy is a key thermodynamic parameter governing energy extraction efficiency in Enhanced Geothermal Systems (EGS). Although Machine Learning (ML) has been widely applied in geothermal modeling, few studies have systematically integrated Response Surface Methodology (RSM) with ML to develop and c...

This paper investigates the issue of prescribed-time mean-square synchronization (PTMSS) for stochastic coupled inertial neural networks (SCINNs), encompassing both scenarios without time delays (TDs) and with TDs. By constructing appropriate Lyapunov functionals and utilizing the prescribed-time st...