Sentences with phrase «simulation modelling techniques»

SUMMARY A dynamic, team spirited and performance driven engineer offering a broad knowledge in simulation modelling techniques and manufacturing processes.

Not exact matches

Some of Cross's clients use sophisticated simulation modeling to predict sales at different price levels, but his technique doesn't have to be rocket science.

Systems analysis, elaborate simulation techniques, automated access to central data banks, information theory, game Theory, and the use of socio - economic models, often mathematically stated, all aided and abetted by the computer, make possible a massive application of data not hitherto possible.

It speaks of operations research, systems analysis, technological forecasting, information theory, game theory, simulation techniques, decision theory, Delphi method, cross-impact matrix analysis, statistical time - series, stochastic models, linear programming, input - output economics, computer based command and control systems, and so on.

«A simple trick for modeling calcium: A straightforward technique allows for accurate computer simulations of calcium signaling, a key part of countless biological processes.»

In a simulation designed to test techniques for constructing such networks, a model was created comprising 4,173 neuro - synaptic «cores» representing the 77 largest regions in the Macaque brain.

Called eBDIMS, this novel simulation technique was developed by Orellana during her doctoral thesis under Modesto Orozco, head of the Molecular Modelling and Bioinformatics Lab at IRB Barcelona, and pioneer in coarse - grained simulations in Spain.

And finally, after decades of work developing theoretical models and computer simulation techniques, along with laboratory experiments to reproduce new molecules, astrochemists are putting names to many of those unidentified lines.

Furthermore, so as to understand the chemical and physical nature of the shaping process, standard characterization techniques (spectroscopy and electron microscopy) have been employed, as well as new theoretical models and advanced computer simulation techniques.

Researchers from North Carolina State University have demonstrated that molecular dynamics simulations and machine learning techniques could be integrated to create more accurate computer prediction models.

As the object of study was the human body and its biological tissue, a 3D model of a human body compatible with the chosen simulation technique was developed.

Method development comprises construction and analysis of mathematical models that describe complex scientific, technical as well as socio - economic processes, the development of efficient algorithms for simulation or optimization of such models, accompanying development of visualization, large scale data management and data analysis techniques, and transfer of algorithms into efficient software and high performance computing techniques.

De novo rational design of molecular scaffolds mimicking protein interactions for specific interference in cell signaling processes: We apply molecular modelling and computer simulation techniques for designing molecules with pharmacological / biotechnological interest.

We apply computational modelling and simulation techniques to understand the hetereogeneity of the GAG component and to study structural and physical characteristics of GAGs in the context of their interaction with their biological binding - partners.

The challenges will test CANDLE's advanced machine learning approach — deep learning — that, in combination with novel data acquisition and analysis techniques, model formulation and simulation, will help arrive at a prognosis and treatment plan designed specifically for an individual patient.

In a new paper, Schneider et al. outline a blueprint for a next - generation climate model that would employ advancements in data assimilation and machine learning techniques to learn continuously from real - world observations and high - resolution simulations.

Specifically an overview of climate models and simulation techniques.

As I understand complex modelling it uses iterative techniques such as monte carlo simulations — Can it also use Covariance Structure Mmodelling it uses iterative techniques such as monte carlo simulations — Can it also use Covariance Structure ModellingModelling?

However, the simulation of clouds in climate models has shown modest improvement relative to models available at the time of the AR4, and this has been aided by new evaluation techniques and new observations for clouds.

We also develop cross-sensor retrieval techniques (e.g., combined infrared and microwave cloud property retrievals) and exploit extensive atmospheric modeling capabilities for simulation of radiometrically - correct test scene data.

Further estimates of internal variability can be produced from long control simulations with climate models... Expert judgments or multi-model techniques may be used to incorporate as far as possible the range of variability in climate models and to assign uncertainty levels, confidence in which will need to be assessed.»

His research activities revolve around tropical cyclone simulations and prediction models, 3D and 4D variational analysis schemes, ensemble forecasting techniques and coupling of mesoscale Numerical Weather Prediction (NWP) models to Atmospheric Transport and Dispersion (ADT) models.

We identify human and natural contributions to the observed IPWP changes since the 1950s by comparing observations with climate model simulations using an optimal fingerprinting technique.

Seeding Chaos: The Dire Consequences of Numerical Noise in NWP Perturbation Experiments Perturbation experiments are a common technique used to study how differences between model simulations evolve within chaotic systems.

Among the various techniques, the AR4 AOGCM ensemble provides the most sophisticated set of models in terms of the range of processes included and consequent realism of the simulations compared to observations (see Chapters 8 and 9).

It uses a Monte Carlo simulation model, a technique used to configure several possible outcomes, for better decision making in times of risky investment.

You need not to look further if your present search is for an individual who can effectively apply mathematical theories and techniques to practical problems, develop statistical models and create engaging computer simulations.

Wellington City, New Zealand About Blog I write about applications of data and analytical techniques like statistical modelling and simulation to real - world situations.

In sum, given the results from our simulation study and the empirical applications, we conclude that the multilevel TAR model is a valuable addition to the available techniques for analyzing intensive longitudinal data.

Longitudinal modeling with randomly and systematically missing data: A simulation of ad hoc, maximum likelihood, and multiple imputation techniques