UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

A Food-Energy-Water Nexus approach for land use optimization

The Science of the total environment, 2019-04, Vol.659, p.7-19

2019

Volltextzugriff (PDF)

A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

Applied energy, 2015-10, Vol.155, p.485-501

2015

Volltextzugriff (PDF)

Sustainable ammonia production through process synthesis and global optimization

AIChE journal, 2019-07, Vol.65 (7), p.n/a

2019

Volltextzugriff (PDF)

Towards the integration of process design, control and scheduling: Are we getting closer?

Computers & chemical engineering, 2016-08, Vol.91, p.85-92

2016

Volltextzugriff (PDF)

Synthesis and Operability Strategies for Computer-Aided Modular Process Intensification

1, 2022

Volltextzugriff (PDF)

Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection

Computers & chemical engineering, 2018-07, Vol.115, p.46-63

2018

Volltextzugriff (PDF)

An improved algorithm for flux variability analysis

BMC bioinformatics, 2022-12, Vol.23 (1), p.550-550, Article 550

2022

Volltextzugriff (PDF)

A Neural Network Based Superstructure Optimization Approach to Reverse Osmosis Desalination Plants

Membranes (Basel), 2022-02, Vol.12 (2), p.199

2022

Volltextzugriff (PDF)

Modelling Optimization and Control of Biomedical Systems

1, 2018

Volltextzugriff (PDF)

Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization

PloS one, 2019-10, Vol.14 (10), p.e0223517

2019

Volltextzugriff (PDF)

A framework to predict the price of energy for the end-users with applications to monetary and energy policies

Nature communications, 2021-01, Vol.12 (1), p.18-18, Article 18

2021

Volltextzugriff (PDF)

Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms

PLoS computational biology, 2020-09, Vol.16 (9), p.e1008191

2020

Volltextzugriff (PDF)

Operability and control in process intensification and modular design: Challenges and opportunities

AIChE journal, 2021-05, Vol.67 (5), p.n/a

2021

Volltextzugriff (PDF)

Advanced control strategies for the multicolumn countercurrent solvent gradient purification process

AIChE journal, 2016-07, Vol.62 (7), p.2341-2357

2016

Volltextzugriff (PDF)

Data-driven optimization of mixed-integer bi-level multi-follower integrated planning and scheduling problems under demand uncertainty

Computers & chemical engineering, 2022-01, Vol.156 (C), p.107551, Article 107551

2022

Volltextzugriff (PDF)

Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design

PloS one, 2013-12, Vol.8 (12), p.e81728

2013

Volltextzugriff (PDF)

Circular Economy - A challenge and an opportunity for Process Systems Engineering

Computers & chemical engineering, 2020-02, Vol.133 (C), p.106629, Article 106629

2020

Volltextzugriff (PDF)

Synthesis of Operable Process Intensification SystemsSteady‑State Design with Safety and Operability Considerations

Industrial & engineering chemistry research, 2019-04, Vol.58 (15), p.6049-6068

2019

Volltextzugriff (PDF)

Multi-parametric Optimization and Control

First edition, 2020

Volltextzugriff (PDF)

A systems engineering framework for the optimization of food supply chains under circular economy considerations

The Science of the total environment, 2021-11, Vol.794 (C), p.148726-148726, Article 148726

2021

Volltextzugriff (PDF)

A nonlinear support vector machine‐based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process

AIChE journal, 2019-03, Vol.65 (3), p.992-1005

2019

Volltextzugriff (PDF)

A Multi-Parametric optimization approach for bilevel mixed-integer linear and quadratic programming problems

Computers & chemical engineering, 2019-06, Vol.125 (C), p.98-113

2019

Volltextzugriff (PDF)

Optimal design of energy systems using constrained grey-box multi-objective optimization

Computers & chemical engineering, 2018-08, Vol.116, p.488-502

2018

Volltextzugriff (PDF)

Integrated process design, scheduling, and model predictive control of batch processes with closed‐loop implementation

AIChE journal, 2020-10, Vol.66 (10), p.n/a

2020

Volltextzugriff (PDF)

HY-POP: Hyperparameter optimization of machine learning models through parametric programming

Computers & chemical engineering, 2020-08, Vol.139, p.106902, Article 106902

2020

Volltextzugriff (PDF)

1 – 25 von 717

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(402)
Mit Volltextzugriff
(611)

Publikationsform

Sprache

Englisch
(717)

Erscheinungsjahr

n.n

Thema

Science & Technology
(343)
Technology
(316)
Engineering
(279)
Engineering, Chemical
(250)
Computer Science
(124)
Computer Science, Interdisciplinary Applications
(105)
Optimization
(91)
Chemical Engineering
(70)
Exact Sciences And Technology
(67)
Applied Sciences
(65)
Mathematical Models
(47)
Multi-Parametric Programming
(40)
Multiparametric Programming
(34)
Life Sciences & Biomedicine
(32)
Model Predictive Control
(32)
Operations Research & Management Science
(32)
Physical Sciences
(32)
Automation & Control Systems
(31)
Algorithms
(29)
Uncertainty
(27)

15 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

... seit 30 Tagen
(2)
... seit 90 Tagen
(3)

Menü

Weitere Dienste

Einstellungen

A Food-Energy-Water Nexus approach for land use optimization

A rolling horizon optimization framework for the simultaneous energy supply and demand planning in microgrids

Sustainable ammonia production through process synthesis and global optimization

Towards the integration of process design, control and scheduling: Are we getting closer?

Synthesis and Operability Strategies for Computer-Aided Modular Process Intensification

Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection

An improved algorithm for flux variability analysis

A Neural Network Based Superstructure Optimization Approach to Reverse Osmosis Desalination Plants

Modelling Optimization and Control of Biomedical Systems

Grouping of complex substances using analytical chemistry data: A framework for quantitative evaluation and visualization

A framework to predict the price of energy for the end-users with applications to monetary and energy policies

Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms

Operability and control in process intensification and modular design: Challenges and opportunities

Advanced control strategies for the multicolumn countercurrent solvent gradient purification process

Data-driven optimization of mixed-integer bi-level multi-follower integrated planning and scheduling problems under demand uncertainty

Improving embryonic stem cell expansion through the combination of perfusion and Bioprocess model design

Circular Economy - A challenge and an opportunity for Process Systems Engineering

Synthesis of Operable Process Intensification SystemsSteady‑State Design with Safety and Operability Considerations

Multi-parametric Optimization and Control

A systems engineering framework for the optimization of food supply chains under circular economy considerations

A nonlinear support vector machine‐based feature selection approach for fault detection and diagnosis: Application to the Tennessee Eastman process

A Multi-Parametric optimization approach for bilevel mixed-integer linear and quadratic programming problems

Optimal design of energy systems using constrained grey-box multi-objective optimization

Integrated process design, scheduling, and model predictive control of batch processes with closed‐loop implementation

HY-POP: Hyperparameter optimization of machine learning models through parametric programming

Suchergebnisse filtern