Results 1 to 10 of about 2,549,734 (331)

Cell-Sized Liposomes and Droplets: Real-World Modeling of Living Cells

Materials, 2012
Recent developments in studies concerning cell-sized vesicles, such as liposomes with a lipid bilayer and water-in-oil droplets covered by a lipid monolayer, aim to realize the real-world modeling of living cells.
T. Hamada, K. Yoshikawa
semanticscholar   +1 more source

Mapping of dissipative particle dynamics in fluctuating hydrodynamics simulations

, 2008
Dissipative particle dynamics (DPD) is a novel particle method for mesoscale modeling of complex fluids. DPD particles are often thought to represent packets of real atoms, and the physical scale probed in DPD models are determined by the mapping of DPD ...
He, P., Qiao, R.
core   +1 more source

Analysis of bitcoin prices using a heavy-tailed version of Dagum distribution and machine learning methods

Alexandria Engineering Journal, 2023
Statistical modeling and forecasting are very important for decision-making in any field of life. This paper has two major objectives, namely, statistical modeling and forecasting of real phenomena. For covering the first aim (i.e., statistical modeling),
Lai Ting, M.M. Abd El-Raouf, M.E. Bakr, Arwa M. Alsahangiti   +3 more
doaj   +1 more source

A variational approach to modeling slow processes in stochastic dynamical systems [PDF]

, 2012
The slow processes of metastable stochastic dynamical systems are difficult to access by direct numerical simulation due the sampling problem. Here, we suggest an approach for modeling the slow parts of Markov processes by approximating the dominant ...
Noé, Frank, Nüske, Feliks
core   +3 more sources

Competences of contemporary surveyor [PDF]

Micro, Macro & Mezzo Geoinformation, 2018
- utilization of contemporary methods, methodologies, techniques and technology for measuring and surveying of terrain, objects and geospatial phenomena, - evidence, registration, management, administration and valuation of real estate, - designing ...
Bashkim IDRIZI
doaj  

A novel family of generalized stochastic neural network operators with illustrations of their various capabilities

Ain Shams Engineering Journal
This study introduces a novel family of generalized stochastic neural network (GSNN) operators with enhanced modeling and approximation capabilities.
Abeer Aljohani
doaj   +1 more source

Evolving Spatially Aggregated Features from Satellite Imagery for Regional Modeling

, 2017
Satellite imagery and remote sensing provide explanatory variables at relatively high resolutions for modeling geospatial phenomena, yet regional summaries are often desirable for analysis and actionable insight.
AE Hoerl, D Buckingham, J Bongard, J Dong, J Dozier, J Martinec, J Rees, JR Koza, K Krawiec, M Hollander, M Schmidt, M Tedesco, MD Schmidt, R Tibshirani, TH Painter, WR Tobler   +15 more
core   +1 more source

The SUMO toolbox: a tool for automatic regression modeling and active learning [PDF]

, 2013
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alternative.
Couckuyt, Ivo, Crombecq, Karel, Deschrijver, Dirk, Dhaene, Tom, Gorissen, Dirk   +4 more
core   +2 more sources

Combining simulations and data with deep learning and uncertainty quantification for advanced energy modeling

International Journal of Energy Research, 2019
A novel and modern framework for energy modeling is developed in this paper with a focus on nuclear energy modeling and simulation. The framework combines multiphysics simulations and real data, with validation by uncertainty quantification tasks and ...
Majdi I. Radaideh, T. Kozłowski
semanticscholar   +1 more source

Modeling interactome: scale-free or geometric? [PDF]

Bioinform., 2004
MOTIVATION Networks have been used to model many real-world phenomena to better understand the phenomena and to guide experiments in order to predict their behavior.
Natasa Przulj, D. Corneil, I. Jurisica
semanticscholar   +1 more source