UB Paderborn / Katalog / Suche / in CDI

1 – 25 von 287

Sortiert nach

Formation, Growth, and Failure of Debris Jams at Bridge Piers

Water resources research, 2018-09, Vol.54 (9), p.6226-6241

2018

Volltextzugriff (PDF)

A Model-Based Predictive Controller of the Level of Steel in the Mold with Disturbances Using a Repetitive Structure

Metals (Basel ), 2021-09, Vol.11 (9), p.1458

2021

Volltextzugriff (PDF)

Effects of reconstruction of variables on the accuracy and computational performance of upscaling solutions of the shallow water equations

Journal of hydraulic research, 2023-05, Vol.61 (3), p.409-421

2023

Volltextzugriff (PDF)

Improving computational efficiency in global river models by implementing the local inertial flow equation and a vector-based river network map

Water resources research, 2013-11, Vol.49 (11), p.7221-7235

2013

Volltextzugriff (PDF)

The seminal role played by Pierre Marie in Neurology and Internal Medicine

Arquivos de neuro-psiquiatria, 2015-10, Vol.73 (10), p.887-889

2015

Volltextzugriff (PDF)

Applicability of the local inertial approximation of the shallow water equations to flood modeling

Water resources research, 2013-08, Vol.49 (8), p.4833-4844

2013

Volltextzugriff (PDF)

A theoretical analysis of the fluid–solid interactions governing the removal of woody debris jams from cylindrical bridge piers

Journal of fluid mechanics, 2020-03, Vol.886, Article A19

2020

Volltextzugriff (PDF)

A tale of two riffles: Using multidimensional, multifractional, time‐varying sediment transport to assess self‐maintenance in pool‐riffle sequences

Water resources research, 2017-03, Vol.53 (3), p.2095-2113

2017

Volltextzugriff (PDF)

Improving the stability of a simple formulation of the shallow water equations for 2-D flood modeling

Water resources research, 2012-05, Vol.48 (5), p.n/a

2012

Volltextzugriff (PDF)

Upscaling the shallow water equations for fast flood modelling

Journal of hydraulic research, 2021-09, Vol.59 (5), p.739-756

2021

Volltextzugriff (PDF)

Theoretical impulse threshold for particle dislodgement

Journal of fluid mechanics, 2019-03, Vol.863, p.893-903

2019

Volltextzugriff (PDF)

Improving knowledge about permeability in membrane bioreactors through sensitivity analysis using artificial neural networks

Environmental technology, 2020-08, Vol.41 (19), p.2424-2438

2020

Volltextzugriff (PDF)

An assessment of the optimum timing of coastal flood adaptation given sea‐level rise using real options analysis

Journal of flood risk management, 2019-11, Vol.12 (S2), p.n/a

2019

Volltextzugriff (PDF)

Does oral salbutamol improve fatigue in multiple sclerosis? A pilot placebo-controlled study

Multiple sclerosis and related disorders, 2020-11, Vol.46, p.102586-102586, Article 102586

2020

Volltextzugriff (PDF)

Performance and economic analysis of Nellore cattle finished in feedlot during dry and rainy seasons

Livestock science, 2022-06, Vol.260, p.104903, Article 104903

2022

Volltextzugriff (PDF)

Integrating the LISFLOOD-FP 2D hydrodynamic model with the CAESAR model: implications for modelling landscape evolution

Earth surface processes and landforms, 2013-12, Vol.38 (15), p.1897-1906

2013

Volltextzugriff (PDF)

Physics-informed neural networks for solving flow problems modeled by the 2D Shallow Water Equations without labeled data

Journal of hydrology (Amsterdam), 2024-06, Vol.636, p.131263, Article 131263

2024

Volltextzugriff (PDF)

Expert system for early sign stuck pipe detection: Feature engineering and fuzzy logic approach

Engineering applications of artificial intelligence, 2024-01, Vol.127, p.107229, Article 107229

2024

Volltextzugriff (PDF)

Understanding fish-hydrodynamic interactions within Cylindrical Bristle Cluster arrays to improve passage over sloped weirs

Journal of ecohydraulics, 2024-01, Vol.ahead-of-print (ahead-of-print), p.1-9

2024

Volltextzugriff (PDF)

A Signal Processing Approach for Fault Detection Problem

Computer Aided Chemical Engineering, 2012, Vol.30, p.857-861

2012

Volltextzugriff (PDF)

Time-delay neural network for monitoring of abnormal situations in continuous industrial processes. Case Study: Evaporation station of a pulp mill

IFAC Proceedings Volumes, 2013-05, Vol.46 (7), p.408-413

2013

Volltextzugriff (PDF)

Comparing a linear transfer function-noise model and a neural network to model boiler bank fouling in a kraft recovery boiler

Tappi journal, 2024-07, Vol.23 (7), p.374-384

2024

Volltextzugriff (PDF)

Ash Deposits Monitoring in a Convective Heat Transfer Section of a Kraft Recovery Boiler

10th International Symposium on Process Systems Engineering - PSE2009, 2009, Vol.27

2009

Volltextzugriff (PDF)

Graphical representation of cause-effect relationships among chemical process variables using a neural network approach

2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2008, Vol.10, p.2668-2673

2008

Volltextzugriff (PDF)

Comparison of fractional and integer PID controllers tuned by genetic algorithm

2016 12th IEEE International Conference on Industry Applications (INDUSCON), 2016, p.1-7

2016

Volltextzugriff (PDF)

1 – 25 von 287

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(241)
Mit Volltextzugriff
(270)

Publikationsform

1 weiteren anzeigen...

Weniger anzeigen...

Sprache

Erscheinungsjahr

n.n

Thema

Science & Technology
(192)
Life Sciences & Biomedicine
(139)
Humans
(60)
Technology
(39)
Physical Sciences
(34)
Animals
(32)
Male
(31)
Female
(28)
Biochemistry & Molecular Biology
(19)
Engineering
(19)
Brazil
(17)
Adult
(14)
Computer Science
(14)
Covid-19
(14)
Environmental Sciences
(13)
Middle Aged
(13)
Science & Technology - Other Topics
(13)
Chemistry
(12)
Laboratories
(12)
Multidisciplinary Sciences
(12)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(4)
... seit 90 Tagen
(12)

Menü

Weitere Dienste

Einstellungen

Formation, Growth, and Failure of Debris Jams at Bridge Piers

A Model-Based Predictive Controller of the Level of Steel in the Mold with Disturbances Using a Repetitive Structure

Effects of reconstruction of variables on the accuracy and computational performance of upscaling solutions of the shallow water equations

Improving computational efficiency in global river models by implementing the local inertial flow equation and a vector-based river network map

The seminal role played by Pierre Marie in Neurology and Internal Medicine

Applicability of the local inertial approximation of the shallow water equations to flood modeling

A theoretical analysis of the fluid–solid interactions governing the removal of woody debris jams from cylindrical bridge piers

A tale of two riffles: Using multidimensional, multifractional, time‐varying sediment transport to assess self‐maintenance in pool‐riffle sequences

Improving the stability of a simple formulation of the shallow water equations for 2-D flood modeling

Upscaling the shallow water equations for fast flood modelling

Theoretical impulse threshold for particle dislodgement

Improving knowledge about permeability in membrane bioreactors through sensitivity analysis using artificial neural networks

An assessment of the optimum timing of coastal flood adaptation given sea‐level rise using real options analysis

Does oral salbutamol improve fatigue in multiple sclerosis? A pilot placebo-controlled study

Performance and economic analysis of Nellore cattle finished in feedlot during dry and rainy seasons

Integrating the LISFLOOD-FP 2D hydrodynamic model with the CAESAR model: implications for modelling landscape evolution

Physics-informed neural networks for solving flow problems modeled by the 2D Shallow Water Equations without labeled data

Expert system for early sign stuck pipe detection: Feature engineering and fuzzy logic approach

Understanding fish-hydrodynamic interactions within Cylindrical Bristle Cluster arrays to improve passage over sloped weirs

A Signal Processing Approach for Fault Detection Problem

Time-delay neural network for monitoring of abnormal situations in continuous industrial processes. Case Study: Evaporation station of a pulp mill

Comparing a linear transfer function-noise model and a neural network to model boiler bank fouling in a kraft recovery boiler

Ash Deposits Monitoring in a Convective Heat Transfer Section of a Kraft Recovery Boiler

Graphical representation of cause-effect relationships among chemical process variables using a neural network approach

Comparison of fractional and integer PID controllers tuned by genetic algorithm

Suchergebnisse filtern