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Streamflow modelling and forecasting for Canadian watersheds using LSTM networks with attention mechanism
This study investigates the capability of sequence-to-sequence machine learning (ML) architectures in an effort to develop streamflow forecasting...
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Feel It, Code It: Emotional Goal Modelling for Gender-Inclusive Design
Context and motivation: Organisational values such as inclusion are often explicit, providing a common language to guide behaviour and motivate...
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Exploiting Advantages of VPL in City Information Modelling for Rapid Digital Urban Surveying and Structural Analysis
This research proposes a parametric modelling methodology based on Visual Programming Language (VPL) for creating City Information Models (CIM) to...
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Signal Propagation Modelling on the Inner Surface of Human Arm
One of the newer and most promising ways of wireless patient monitoring is by using wearable sensors. Owing to this there has been a gradual increase...
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Neural Dynamics in Parkinson’s Disease: Integrating Machine Learning and Stochastic Modelling with Connectomic Data
Parkinson’s disease (PD) is a neurological disorder defined by the gradual loss of dopaminergic neurons in the substantia nigra pars compacta, which...
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Strata Practice in Building Information Modelling (BIM) and Geospatial Perspective
Strata tittle is a document that proves ownership over a property; parcel on a land parcel or multi-story building. In Malaysia, there are a lot of...
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MDC-Net: Multimodal Detection and Captioning Network for Steel Surface Defects
In the highly competitive steel sector, product quality, particularly in terms of surface integrity, is critical. Surface defect detection (SDD) is...
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Modelling and Control of a Retrofitted Oven for SMD Reflow
This paper deals with the modelling and control of an oven for reflowing electronic surface-mounted devices. The modelling is done taking into...
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LightNeuS: Neural Surface Reconstruction in Endoscopy Using Illumination Decline
We propose a new approach to 3D reconstruction from sequences of images acquired by monocular endoscopes. It is based on two key insights. First,...
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Safe reuse in modelling language engineering using model subty** with OCL constraints
Low-code software development promises rapid delivery of software cloud applications by employing domain-specific languages (DSLs), requiring minimal...
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Hygroscopic phase field fracture modelling of composite materials
This paper investigates the effect of moisture content upon the degradation behaviour of composite materials. A coupled phase field framework...
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Markov modelling and adaptive neuro fuzzy inference system computing of hydroelectric power plant
The main objective of present study is to develop a mathematical model for renewable energy sources like hydroelectric power plant (HPP). The...
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Reference architectures modelling and compliance checking
Reference architectures (RAs) are successfully used to represent families of concrete software architectures in several domains such as automotive,...
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Unsupervised Diffeomorphic Surface Registration and Non-linear Modelling
Registration is an essential tool in image analysis. Deep learning based alternatives have recently become popular, achieving competitive performance...
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Challenges and opportunities for a hybrid modelling approach to earth system science
Artificial Intelligence (AI), particularly in the fields of Machine learning (ML) and Deep learning (DL) have become important tools for the...
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Land Use Cover Map**, Modelling and Validation. A Background
In this chapter, we offer a brief introduction to the main concepts associated with Land Use Cover (LUC) map**, Land Use Cover Change (LUCC)...
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Modelling Blood Flow and Biochemical Reactions Underlying Thrombogenesis in Atrial Fibrillation
Atrial fibrillation (AF) is a widespread cardiac disease associated with a high risk of thromboembolic stroke. Clinically applicable stroke-risk...
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Evolutionary-based neuro-fuzzy modelling of combustion enthalpy of municipal solid waste
The viability of thermal waste-to-energy (WTE) plants and its optimal performance have informed intelligent predictive modelling of its significant...
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Prediction of Surface Roughness Using Desirability Concept and Support Vector Machine for Fused Deposition Modeling Part
Fused Deposition Modeling (FDM) technique involves the deposition of a fused layer of material according to the geometry designed in the software....