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Modelling Three-Dimensional Objects
This chapter contains an overview of the basic approaches for modelling three-dimensional objects. Since modelling of surfaces of objects is of great...
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Using different digital tools in designing and solving mathematical modelling problems
While existing studies acknowledge the importance of using technology in the mathematical modelling process, questions about how to integrate digital...
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Progress on half a century of process modelling research in steelmaking: a review
Process modelling in steelmaking started from mid-sixties and witnessed rapid growth and wide spread applications during the last fifty years or so....
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Modelling
To model a fully actuated tilt-rotor aerial manipulator, we start by considering a generic system of rigid bodies, with n DOF, represented by a set...
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Practices and challenges of threat modelling in agile environments
Facing the increasing annual cybersecurity costs, threat modelling (TM) is a method to consider security as early as possible in the software...
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Non-local modelling of multiphase flow wetting and thermo-capillary flow using peridynamic differential operator
Interfaces in multiphase flows are affected by surface tension, and when temperature gradients occur in the flow domain, tangential surface tensions...
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Assessing the specification of modelling language semantics: a study on UML PSSM
Modelling languages play a central role in develo** complex, critical systems. A precise, comprehensible, and high-quality modelling language...
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Genetic Algorithm Optimized Grey-Box Modelling and Fuzzy Logic Controller for Tail-Actuated Robotic Fish
The development of bio-inspired aquatic robots for underwater operations and scientific research has dramatically improved over the past decades....
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Surface Area
In Chap. 8 I showed how to compute the area under a graph using integration, and in this chapter I describe how single and double integration are...
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Landslide Surface Displacement Prediction Based on VSXC-LSTM Algorithm
Landslide is a natural disaster that can easily threaten local ecology, people’s lives and property. In this paper, we conduct modelling research on...
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Spatiotemporal Modelling of Soil Organic Carbon Stocks in a Semi-Arid Region Using a Multilayer Perceptron Algorithm
Spatial modelling of soil organic carbon stock (SOCS) and its future dynamics are essential for the sustainable management of terrestrial ecosystems...
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A Family of Approaches for Full 3D Reconstruction of Objects with Complex Surface Reflectance
3D reconstruction of general scenes remains an open challenge with current techniques often reliant on assumptions on the scene’s surface...
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Multiscale modelling of particulate composites with spherical inclusions
This paper presents a novel and effective strategy for modelling three-dimensional periodic representative volume elements (RVE) of particulate...
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Residual network-based ocean wave modelling from satellite images using ensemble Kalman filter
Nonlinear ocean waves have a significant impact on the functioning of several offshore activities. Predicting the internal ocean waves plays a...
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Implementing integrated digital twin modelling and representation into the Snap4City platform for smart city solutions
Recently, Digital Twins solutions have attracted a growing interest as a fundamental paradigm for managing data driven processes on smart cities....
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Threat Modelling
In this chapter, we look at the fundamental task of understanding what we are trying to protect and where threats come from. There are a number of...
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Rough Fermatean fuzzy decision-based approach for modelling IDS classifiers in the federated learning of IoMT applications
Intrusion detection systems (IDSs) are commonly employed to mitigate network security threats in various fields, including federated learning...
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Electrochemical transport modelling and open-source simulation of pore-scale solid–liquid systems
The modelling of electrokinetic flows is a critical aspect spanning many industrial applications and research fields. This has introduced great...
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A Review on Urban Modelling for Future Smart Cities
The rapid development of information technology has brought about the emergence of urban multi-source big data and the improvement of computing...
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HTSE: hierarchical time-surface model for temporal knowledge graph embedding
Representation learning based on temporal knowledge graphs (TKGs) has attracted widespread interest, and temporal knowledge graph embedding (TKGE)...
