Updated on March 16, 2024
mathematical | Mathematical modelling is a crucial tool for understanding and predicting the behavior of complex systems. |
numerical | Numerical modelling is used to simulate and predict physical processes and phenomena. |
ecological | Ecological modelling is the process of creating a mathematical or computer model of an ecological system. |
dynamic | The researchers used dynamic modelling to simulate the behaviour of the system. |
statistical | Statistical modelling is used extensively in a wide variety of fields, to understand complex relationships and make predictions. |
conceptual | Conceptual modelling is the process of creating a representation of a system using concepts. |
physical | The team developed a method for consolidating the physical modelling of the two approaches. |
structural | Structural modelling is a useful tool for understanding the behaviour of complex systems. |
theoretical | The theoretical modelling of the system was based on the laws of thermodynamics. |
economic | Economic modelling can help businesses make better decisions. |
dimensional | Dimensional modelling is a data modelling technique used to support data warehousing and business intelligence. |
based | Based modelling avoids labor-intensive specimen collection and measurement. |
econometric | Econometric modelling is a powerful tool for forecasting future trends. |
spatial | Spatial modelling plays a significant role in urban planning and real estate development. |
molecular | Molecular modelling is a powerful tool in drug discovery and design. |
computational | Computational modelling is a useful tool for understanding complex systems. |
predictive | Predictive modelling can help businesses make informed decisions by forecasting future outcomes. |
detailed | The detailed modelling of the aircraft was essential for its successful flight. |
finite | Finite modelling offers a way to express the complexity of the phenomena in a comprehensible way. |
stochastic | The stochastic modelling approach effectively captures the uncertainty and randomness associated with the system's behaviour. |
geometric | The geometric modelling of the car was completed in a week. |
cognitive | Cognitive modelling attempts to build a computational model of the human cognitive system. |
linear | Linear modelling is a statistical approach that uses a linear equation to represent the relationship between one or more independent variables and a dependent variable. |
formal | The formal modelling technique led to improved results. |
environmental | Environmental modelling can help us understand how the natural world works and how it is changing. |
solid | The solid modelling software uses computer-aided design to create three-dimensional representations of objects. |
accurate | The research paper utilized multiple regression allowing for accurate modelling |
hydrological | The hydrological modelling results can be visualized using a GIS. |
global | The use of a global modelling approach can help us identify region-specific factors that drive drought severity. |
quantitative | Quantitative modelling is the use of mathematical and statistical methods to analyze and predict the behavior of systems. |
causal | The causal modelling techniques used in this article provide a solid approach to this issue. |
urban | The urban modelling process involves simulating the dynamics of urban systems through mathematical models. |
oriented | The scientists employed an oriented modelling approach to solve the complex problem. |
realistic | Realistic modelling can help to create more accurate and detailed representations of the world. |
constitutive | Constitutive modelling allows engineers to accurately predict the behaviour of materials under various loading conditions. |
financial | Financial modelling is the process of using mathematical and statistical techniques to create a representation of a financial system. |
delicate | The delicate modelling of the pottery was reminiscent of ancient Chinese art. |
explicit | The teacher used explicit modelling to demonstrate how to solve the problem. |
kinetic | Kinetic modelling attempts to predict the behaviour of systems through time using prior knowledge of the system. |
scale | I enjoy the small-scale modelling of ships and aircrafts. |
integrated | The report presents the Integrated modelling System architecture. |
empirical | Empirical modelling is a form of data modeling used for predicting future values based on historical data. |
macroeconomic | Macroeconomic modelling is a tool used by economists to analyze the effects of economic policies. |
fuzzy | Fuzzy modelling approximates the complex system using a finite number of fuzzy sets and fuzzy rules. |
connectionist | Connectionist modelling is an approach to machine learning based on the idea that the brain is composed of a network of interconnected processing units. |
probabilistic | Probabilistic modelling can help us to make sense of the world around us. |
multilevel | Multilevel modelling can be used to understand the relationships between variables at different levels of a hierarchical structure. |
careful | Careful modelling can help us create a more sustainable future. |
fine | The fine modelling of the sculpture was a testament to the artist's skill. |
analytical | Analytical modelling has enabled us to make more informed decisions. |
complex | Advanced computer technology enables complex modelling of physical phenomena. |
level | The team is using advanced level modelling to optimize performance. |
soft | The soft modelling technique was used to create realistic human skin textures. |
neural | The neural modelling approach has been widely used in natural language processing. |
comparative | |
sophisticated | The sophisticated modelling techniques ensured the accuracy of the simulation. |
regional | Regional modelling can help businesses understand the local market and make better decisions. |
qualitative | Qualitative modelling is a method for representing and analysing systems that are difficult to describe quantitatively. |
discrete | Discrete modelling is a technique for representing and analyzing systems that are composed of a set of discrete components. |
thermal |
hydraulic | The water utility company used hydraulic modelling to create simulations to understand the impacts of growth on the existing water network. |
atmospheric | Atmospheric modelling is important for understanding the behaviour of the Earth's atmosphere. |
interactive | The interactive modelling process allowed for real-time adjustments and modifications. |
nonlinear | |
semantic | The semantic modelling is a conceptual tool to facilitate the software design process. |
plastic | He taught himself plastic modelling and went on to create award-winning sculptures. |
hierarchical | Hierarchical modelling is a statistical technique that considers the dependencies between data points in a dataset. |
deterministic | The deterministic modelling approach assumes that the future state of a system can be precisely predicted from its current state. |
mechanical | Three-dimensional finite element mechanical modelling was used to quantify the von Mises stress in the subchondral bone. |
parametric | Parametric modelling allows for rapid exploration of design alternatives and optimization of product performance. |
forward | We used forward modelling to predict the response of the monitoring system to various input signals. |
geochemical | |
hydrodynamic | This framework enables multi-fidelity hydrodynamic modelling with probabilistic uncertainty quantification and optimization capabilities. |
correct | |
behavioural | Behavioural modelling is a technique used to understand and predict human behaviour. |
runoff | Runoff modelling assists in predicting the amount of water that will flow into a particular water body. |
digital | 3D digital modelling has revolutionized the way products are designed and manufactured. |
subtle | Her subtle modelling is inspiring. |
time | Time modelling is gaining popularity as more and more businesses and organizations are looking to optimize their processes and decisions. |
conventional | Conventional modelling predicts that the population will decline to zero in the next 100 years. |
precise | The researchers used precise modelling to understand the complex interactions of the system. |
adequate | The adequate modelling of the system is crucial for its success. |
mechanistic | Mechanistic modelling is a powerful tool for understanding complex biological systems. |
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