https://ch.mathworks.com/help/ident/process-models.html?s_tid=CRUX_lftnav
Process Models - MATLAB & Simulink
Low-order transfer function models with static gain, time constant, and input/output delay
process modelsmatlabsimulink
https://research.vu.nl/en/activities/multiplicative-heteroskedastic-spatial-process-models-monto-carlo/
Multiplicative heteroskedastic-spatial process models: Monto Carlo experiments and an empirical...
process modelsspatial
https://research.tue.nl/en/publications/configuring-configurable-process-models-made-easier-an-automated-/
Configuring configurable process models made easier : an automated approach - Research portal...
process modelsconfiguringconfigurablemade
https://pure.psu.edu/en/publications/developing-process-models-as-summaries-of-hcl-action-sequences/
Developing Process Models as Summaries of HCl Action Sequences - Penn State
process modelsaction sequencesdevelopingsummaries
https://computationalgenomics.bioinformatics.ucla.edu/portfolio/saharon-rosset-stochastic-process-models-for-mutations-their-estimation-from-data-and-their-uses/
Saharon Rosset | Stochastic process models for mutations, their estimation from data, and their...
stochastic process
https://repository.tudelft.nl/record/uuid:08cc6fa4-0278-49af-9741-ea880ffc801b
Gaussian process models for preliminary low-thrust trajectory optimization | TU Delft Repository
gaussian process
https://www.umass.edu/mathematics-statistics/events/generalized-variable-selection-algorithms-gaussian-process-models
Generalized Variable Selection Algorithms for Gaussian Process Models : Department of Mathematics...
With the rapid development of modern technology, massive amounts of data with complex pattern are generated. Gaussian process models that can easily fit the...
gaussian processdepartment ofgeneralizedvariableselection
https://infoscience.epfl.ch/entities/publication/59ced796-5979-4baf-bf40-55cb513607e9/studentdetails
Bayesian Gaussian Process Models: PAC-Bayesian Generalisation Error Bounds and Sparse Approximations
Non-parametric models and techniques enjoy a growing popularity in the field of machine learning, and among these Bayesian inference for Gaussian process (GP)...
gaussian processbayesianmodelspac
https://dev.to/crismoteam/miro-is-great-for-brainstorming-not-process-models-35fl
Miro Is Great for Brainstorming, Not Process Models - DEV Community
The meeting went well. Everyone gathered around a Miro board, dropped sticky notes, drew arrows, and... Tagged with bpmn, miro, processmodeling, tutorial.
great forprocess modelsmirobrainstormingdev
https://gpflow.org/
GPflow - Build Gaussian process models in python
GPflow is a package for building Gaussian process models in python, using TensorFlow. It was originally created and is now managed by James Hensman and...
gaussian processbuildmodelspython
https://research.tue.nl/en/publications/modeling-uncertainty-in-declarative-artifact-centric-process-mode-2/
Modeling uncertainty in declarative artifact-centric process models - Research portal Eindhoven...
process modelsresearch portalmodelinguncertaintydeclarative
https://ja.dh.duke.edu/anesthesiology_grand_rounds_fy18/anesthesiology-grand-rounds-fy18-45
Process Models for Perioperative Pain Medicine: The Hubris of Optima | DUKEHealth JA
process modelspain medicine
https://infoscience.epfl.ch/entities/publication/59ced796-5979-4baf-bf40-55cb513607e9
Bayesian Gaussian Process Models: PAC-Bayesian Generalisation Error Bounds and Sparse Approximations
Non-parametric models and techniques enjoy a growing popularity in the field of machine learning, and among these Bayesian inference for Gaussian process (GP)...
gaussian processbayesianmodelspac
https://nicholasinstitute.duke.edu/ecosystem/t-agg/using-biogeochemical-process
Using Biogeochemical Process Models to Quantify Greenhouse Gas Mitigation from Agricultural...
Mar 22, 2018 - This paper provides an overview of how biogeochemical process models can be used to quantify greenhouse gases (GHG) in agricultural systems for use in...
process modelsgreenhouse gasusing
https://wfm.ec.tuwien.ac.at/node/5595
From Conceptual to Executable BPMN Process Models (Part 2) | Workflow Modeling and Process...
process models
https://acp.copernicus.org/articles/19/9333/2019/
ACP - Optimization of process models for determining volatility distribution and viscosity of...
Abstract. The composition of organic aerosol under different ambient conditions as well as their phase state have been a subject of intense study in recent...
process modelsacpoptimization
https://jp.mathworks.com/help/ident/process-models.html
Process Models - MATLAB & Simulink
Low-order transfer function models with static gain, time constant, and input/output delay
process modelsmatlabsimulink
https://etd.library.emory.edu/concern/etds/cn69m530d
ETD | Spatial Latent Process Models to Overcome Preferential Sampling in Disease Surveillance...
process models
https://infoscience.epfl.ch/entities/publication/59ced796-5979-4baf-bf40-55cb513607e9/statistics
Bayesian Gaussian Process Models: PAC-Bayesian Generalisation Error Bounds and Sparse Approximations
Non-parametric models and techniques enjoy a growing popularity in the field of machine learning, and among these Bayesian inference for Gaussian process (GP)...
gaussian processbayesianmodelspac
https://tr.soe.ucsc.edu/research/technical-reports/AMS2006-8
AMS2006-8: Bayesian treed Gaussian process models | Technical Reports
gaussian processbayesiantreedmodelstechnical
https://pure.psu.edu/en/publications/rules-of-order-process-models-of-human-learning/
Rules of Order: Process Models of Human Learning - Penn State
rules of orderprocess modelshuman learningpennstate
https://wfm.ec.tuwien.ac.at/node/5594
From Conceptual to Executable BPMN Process Models (Part 1) | Workflow Modeling and Process...
process models
https://research.tue.nl/nl/publications/feature-oriented-engineering-of-declarative-artifact-centric-proc/
Feature-oriented engineering of declarative artifact-centric process models - Onderzoeksportaal...
process modelsfeatureorientedengineeringdeclarative
https://research.ibm.com/publications/process-independence-testing-in-proximal-graphical-event-models
Process Independence Testing in Proximal Graphical Event Models for CLeaR 2022 - IBM Research
Process Independence Testing in Proximal Graphical Event Models for CLeaR 2022 by Debarun Bhattacharjya et al.
https://espo.nasa.gov/attrex/content/Process-evaluation_of_tropospheric_humidity_simulated_by_general_circulation_models_using
Process-evaluation of tropospheric humidity simulated by general circulation models using water...
process evaluation
https://eprints.soton.ac.uk/382511/
Improving the synthetic data generation process in spatial microsimulation models - ePrints Soton
synthetic data generationprocess in
https://gsd.uwaterloo.ca/publications/view/424.html
A Case Study on Consistency Management of Business and IT Process Models in Banking | Generative...
https://refuge.journals.yorku.ca/index.php/refuge/article/view/41303?articlesBySimilarityPage=169
Models of Change in Canada's Refugee Status Determination Process | Refuge: Canada's Journal on...
https://refuge.journals.yorku.ca/index.php/refuge/article/view/41303
Models of Change in Canada's Refugee Status Determination Process | Refuge: Canada's Journal on...
https://els2.comotion.uw.edu/product/deep-learning-models-for-automated-unbiased-measurement-of-podocyte-foot-process-width
Deep Learning Models for Automated Unbiased Measurement of Podocyte Foot Process Width - University...
The solution is an automated foot process width estimation software that uses deep learning to automatically calculate the average podocyte foot process width...
deep learning models
https://arxiv.org/abs/1406.7343
[1406.7343] Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets
Abstract page for arXiv paper 1406.7343: Hierarchical Nearest-Neighbor Gaussian Process Models for Large Geostatistical Datasets
nearest neighborgaussian process
https://impact.ornl.gov/en/publications/divergent-controls-of-soil-organic-carbon-between-observations-an/
Divergent controls of soil organic carbon between observations and process-based models - Oak Ridge...
https://refuge.journals.yorku.ca/index.php/refuge/article/view/41303?articlesBySimilarityPage=132
Models of Change in Canada's Refugee Status Determination Process | Refuge: Canada's Journal on...
https://userapps.support.sap.com/sap/support/knowledge/en/3606334
3606334 - Parallel Job Creation for PUST Process Models | SAP Knowledge Base Article
Scheduling jobs for PUST processes'
job creation
https://sh.diva-portal.org/smash/record.jsf?pid=diva2:1789725
Coordinators in the return-to-work process : Mapping their work models
return to work processin thecoordinatorsmappingmodels
https://research.ibm.com/publications/mechanisms-and-models-of-si-film-growth-from-sihlessinfgreater4lessinfgreater-and-silessinfgreater2lessinfgreaterhlessinfgreater6lessinfgreater
Mechanisms and models of Si film growth from SiH4 and Si2H6 for Symposium on Process Physics and...
https://officely.ai/
Officely AI - Any Process to AI Access All LLM Models
Automation Workflow Builder creates AI agent teams with access to LLM models and integrates with Zendesk, Intercom, WhatsApp, and websites. It offers features...
to accessaiprocessllmmodels
https://abouthydrology.blogspot.com/2013/11/process-based-models-of-landslides.html
AboutHydrology: Process based models of landslides' triggering. My talk at Cosenza on November the...
Last November the 7th, I was invited to give a talk about process-based models of landslides triggering. My talk ( you can find it here ) w...
https://repository.gatech.edu/entities/publication/cdbbf9be-5af3-429c-8ddc-4c420941d20e
Constructing stochastic models from deterministic process equations by propensity adjustment
BACKGROUND: Gillespie's stochastic simulation algorithm (SSA) for chemical reactions admits three kinds of elementary processes, namely, mass action reactions...
constructingstochasticmodelsdeterministicprocess
https://portal.fis.tum.de/en/publications/influence-of-process-parameters-on-the-formability-of-bead-stampi/
Influence of process parameters on the formability of bead stamping part using advanced models -...