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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)...
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Trustworthy agent-based simulation: the case for domain-specific modelling languages
Simulation is a key tool for researching complex system behaviour. Agent-based simulation has been applied across domains, such as biology, health,...
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Lattice-Boltzmann LES modelling of a full-scale, biogas-mixed anaerobic digester
An Euler–Lagrange multicomponent, non-Newtonian Lattice-Boltzmann method is applied for the first time to model a full-scale gas-mixed anaerobic...
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My synthetic wingman must understand me: modelling intent for future manned–unmanned teaming
With advances in artificial intelligence, machine learning, and cognitive modelling, unmanned aircraft are expected to act as human-like wingmen in...
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Detecting AI Planning Modelling Mistakes – Potential Errors and Benchmark Domains
AI planning systems can solve complex problems, leaving domain creation as one of the largest obstacles to a large-scale application of this...
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Response surface methodology-based multi-objective grey relation optimization for im**ing jet cooling with Al2O3/water nanofluid on a curved surface
In this study, a modelling procedure is followed to simultaneously optimize the heat transfer and entropy generation performance in the im**ing jet...
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Machine learning modelling of dew point pressure in gas condensate reservoirs: application of decision tree-based models
In gas condensate reservoirs, the dew point pressure ( P Dew ) plays a significant role in gas and liquid assessment, reservoir characterisation,...
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Facial Micro-expression Modelling-Based Student Learning Rate Evaluation Using VGG–CNN Transfer Learning Model
Micro-facial expressions hold the potential to identify emotional states of students during their participation in online learning tasks. Through...
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Soft computing techniques for modelling and multi-objective optimization of magnetic field assisted powder mixed EDM process
The present work emphasizes on artificial neural network (ANN) and genetic algorithm (GA) for modelling and optimization of Magnetic Field Assisted...
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A Coupled-Mechanisms Modelling Framework for Neurodegeneration
Computational models of neurodegeneration aim to emulate the evolving pattern of pathology in the brain during neurodegenerative disease, such as...
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Deep learning modelling techniques: current progress, applications, advantages, and challenges
Deep learning (DL) is revolutionizing evidence-based decision-making techniques that can be applied across various sectors. Specifically, it...
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Logic Separation: Discrete Modelling of Pattern Recognition
AbstractHerein, a historical analytical survey of work of “Discrete Modelling of Pattern Recognition” (DM-Lab) research group in Armenia is...
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Artificial Intelligence for Modelling the Wet Agglomeration Process of Fine Materials: A Survey
Industrial plants often report under-capacity production, primarily due to limited knowledge of the dynamics of underlying size enlargement process....
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Is There a Space in Landslide Susceptibility Modelling: A Case Study of Valtellina Valley, Northern Italy
Landslides pose significant and ever-threatening risks to human life and infrastructure worldwide. Landslide susceptibility modelling is an emerging...
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Modelling operator control work across traffic management domains: implications for interaction design
Traffic management in aviation, ship**, and rail transport shows similarities and dissimilarities in the work process. For example, they share the...
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MITRE ATT and CK Threat Modelling Extensions for Mobile Threats
With the advent of 5G mobile networks enabling connectivity to billions of devices it is essential to model and analyze threat on mobile threats. To...
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Response Surface Modelling for Performance Analysis of Scientific Workflow Application in Cloud
Scientific workflow applications are used by scientists to carry out research in various domains such as Physics, Chemistry, Astronomy etc. These...
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A New Data-Driven Modelling Framework for Moisture Content Prediction in Continuous Pharmaceutical Tablet Manufacturing
Continuous manufacturing of pharmaceutical tablets integrates multiple unit operations such as twin screw granulation and fluidized bed drying to...
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City Information Modelling: An Insight into a New Era for the Built Environment
In this new era of the built environment, City Information Modelling (CIM) is broadly recognized as a multidisciplinary approach that integrates...
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Application of ANN and traditional ML algorithms in modelling compost production under different climatic conditions
Plentiful and diverse Organic wastes such as green, food, pruning and landsca** waste necessitate upon effective and efficient recycling strategies...
