The proceedings contain 26 papers. The special focus in this conference is on Steel and Composite for engineering Structures. The topics include: Influence of Interfacial Bond Properties on the Structur...
ISBN:
(纸本)9783031572234
The proceedings contain 26 papers. The special focus in this conference is on Steel and Composite for engineering Structures. The topics include: Influence of Interfacial Bond Properties on the Structural Response of Concrete Bonded with FRP;evaluation of Elastic Local Buckling Strength of Rectangular Hollow Section Members Considering Shear Bending Interaction;A mathematical Modeling of BFRP Laminated Composite Double-Chamber Mufflers Based Acoustic Transmission Loss Optimization;Numerical modelling of Bond Behavior in FRCM Composites Strengthened Curved Substrate Using Double Shooting Approach;The Bond behaviour of FRP and FRCM Strengthening Sheets Externally Bonded to Masonry Pillars: An Experimental Based Comparison;Bond of GFRP Strips on Brickwork;integrating Swarm Intelligence with Neural Networks: A Combination Approach for Predicting Beam Cracks;predict Damage Percentage in Test Specimens Using Improved Artificial Neural Network;Mixed FEM for Geometrically Nonlinear Analysis of Truss System with Multi-freedom Constraints Subjected to Mechanical and Thermal Load;Detection of Damage in CFRP Lamina by Static and Dynamic Tests;exploring Concurrent Multi-materials and Multiscale Hybrid Topology Optimization for Lightweight Porous Gripping Mechanism;probabilistic Damage Detection and Quantification Using a Simulation-Based Approach;influence of the Geometric Characteristics of the Openings on the Mechanical Behavior of Steel Beams with Web Openings;Enhanced Computational modelling of the Fracturing Behavior in CRM Single Lap Shear Tests;higher Order Theories for Laminated Doubly-Curved Shells with Arbitrary Loads and General Boundary Conditions;on the Nonlinear behaviour of Domes Subjected to Point Loads on the Crown;nature-Inspired Optimization for Frequency-Based Damage Identification in Planar and Space Trusses;A New Analytical Model for FRCM Coupons.
This paper explains the details of modelling the simulation works designin setup for the RTI system. Th simulation modelling using software is focused on the interaction of electromagnetic behaviour in a dielectric me...
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To improve the efficiency of work and quality of life of human beings, the study of thermal comfort is essential. Thermoregulation of the human body is examined analytically in this study. The human body's steady-...
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The discipline of mathematics could undergo a revolution due to the possibility of artificial intelligence (AI) to accelerate mathematical findings and guide human intuition. An approach for applying machine learning ...
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A mathematical framework is developed to characterise the dynamic behaviour of a flywheel system supported by permanent magnetic bearings (PMBs). An equivalent spring-damper model is introduced to represent the PMBs a...
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Due to inherent compliance and non-linear behaviour, modelling soft robots is highly complex. While the elasticity of their materials provides the robots with adaptability and resilience, it also causes undesirable ef...
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With human interaction systems becoming more interconnected and complex, it is imperative that we validate the human model which solutions are based on to avoid unintended negative outcomes from any oversights. While ...
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In an effort to shed light on the advances and difficulties that are shaping the area of Virtual Reality (VR), this research paper digs into the ever-evolving world of human-Computer Interaction (HCI) within the conte...
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The paper aims to model and simulate emotions' rational and social effects for a fully affective human group behaviour simulation model. The approach used in the paper intertwines the concepts used in agent-based ...
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Novel data science approaches are needed to confront large-scale infectious disease epidemics such as COVID-19, human immunodeficiency viruses, African swine flu and Ebola. human beings are now equipped with richer da...
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Novel data science approaches are needed to confront large-scale infectious disease epidemics such as COVID-19, human immunodeficiency viruses, African swine flu and Ebola. human beings are now equipped with richer data and more advanced data analytics methodologies, many of which have become available only in the last decade. The theme issue Data Science Approaches to Infectious Diseases Surveillance reports the latest interdisciplinary research on developing novel data science methodologies to capitalize on the rich 'big data' of humanbehaviours to confront infectious diseases, with a particular focus on combating the ongoing COVID-19 pandemic. Compared to conventional public health research, articles in this issue present innovative data science approaches that were not possible without the growing humanbehaviour data and the recent advances in information and communications technology. This issue has 12 research papers and one review paper from a strong lineup of contributors from multiple disciplines, including data science, computer science, computational social sciences, applied maths, statistics, physics and public health. This introductory article provides a brief overview of the issue and discusses the future of this emerging field. This article is part of the theme issue 'Data science approaches to infectious disease surveillance'.
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