The objective of The International Conference of Multiphysics is to share and explore findings on mathematical advances, numerical modelling and experimental validation of theoretical and practical systems in a wide range of applications. The scope of the conference is to address the latest advances in theoretical developments, numerical modelling and industrial application which will promote ...

The study presents the multiphysics modeling of bio-aerosols generated from human respiratory impulses such as coughing, sneezing, breathing, and talking. These droplet-packed viruses exploit the influence of airflow for effortless transmission, rendering them a potential health risk to individuals in the same indoor environment. To gain insight into the transmission of these airborne particles, ...

Manufacturers consider carbon fiber as a wonder material for the world's economy. Its distinctive combination of high strength and low weight has helped drive the wind power revolution and make aircraft and ships more fuel-efficient. In addition, the carbon fiber structures can function longer and are more rigid than the traditional metallic models, making them more resilient in cold and more efficient ...

A The innovative idea of utilization of iron ore dust (IODust), characterized by red hue typical for Narvik, came up during designing artwork for The Arctic University of Norway campus Narvik. The use of waste from iron ore production as a natural pigment was completed by partial replacement of natural aggregates (NA) by recycled concrete aggregates (RCA) to achieve a higher level of material ...

As the demand for concrete increases to meet the expanding need, the environmental impact of its production cannot be ignored. The use of ordinary Portland cement (OPC) is known to deplete natural resources and release large amounts of CO2 into the atmosphere. Geopolymer concrete (GPC), made from waste and industrial by-products, has shown the potential to overcome the environmental issues associated ...

This paper proposes a two-stage deep feed-forward neural network (DNN) to tackle the acoustic-to-articulatory inversion (AAI) problem. DNNs are a viable solution for the AAI task, but the temporal continuity of the estimated articulatory values has not been exploited properly when a DNN is employed. In this work, we propose to address the lack of any temporal constraints while enforcing a ...

Biomass has the capacity to generate a major part of the global renewable energy demands due to its large supply, versatility, and readily exploitable nature. Biomass can be produced from natural sources like wood waste, grasses, trees, and fast-growing energy crops. Biomass wood chips are produced from crushed trees and can be fed into combustion systems to supply heat energy to buildings. However, ...

Electricity load modeling plays a critical role to conduct load forecasting or other applications such as non-intrusive load monitoring. For such a reason, this paper investigates a comparison study of two common artificial neural network methods (Multilayer perceptron (MLP) and radial basis function neural network (RBF-NN) for home load modeling application. The accuracy of load modeling using ...

The vision behind industry 4.0 is to create even smarter manufacturing facilities. Industry 4.0 includes both hardware and software components, which are expected to seamlessly interact in a secure manner. Thus, machinery and software components from different manufacturers should be able to communicate in a common language. Such a challenge is typically met by introducing a “middleware” to serve ...