| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A Branching Strategy for Exploring the Objective Space in Bi-objective Optimization Problems
|
Hashem, Ihab
|
|
|
55 |
7 |
p. 364-369
|
artikel
|
| 2 |
Actuator Cyberattack Handling Using Lyapunov-based Economic Model Predictive Control
|
Rangan, Keshav Kasturi
|
|
|
55 |
7 |
p. 489-494
|
artikel
|
| 3 |
Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks
|
Wei, Lai
|
|
|
55 |
7 |
p. 987-992
|
artikel
|
| 4 |
A Discrete-Steepest Descent Framework for the Simultaneous Process and Control Design of Multigrade Reactive Distillation Columns
|
Liñán, David A.
|
|
|
55 |
7 |
p. 370-375
|
artikel
|
| 5 |
A Distributed Least-Squares Solver for Linear Systems of Algebraic Equations
|
Jahvani, Mohammad
|
|
|
55 |
7 |
p. 804-808
|
artikel
|
| 6 |
A Gradient-Based Extremum Seeking Control of a Substrate- and Product-Inhibited Alcoholic Fermentation Process
|
López-Caamal, Fernando
|
|
|
55 |
7 |
p. 638-642
|
artikel
|
| 7 |
A modular approach to constraint satisfaction under uncertainty - with application to bioproduction systems
|
Wang, Yu
|
|
|
55 |
7 |
p. 592-599
|
artikel
|
| 8 |
Anaerobic Digestion Processes Controller Tuning Using Fictitious Reference Iterative Method
|
Condrachi, Larisa
|
|
|
55 |
7 |
p. 453-458
|
artikel
|
| 9 |
Analysis of control models based on dFBA for fed-batch bioreactors solved by interior-point methods
|
Nakama, Caroline S.M.
|
|
|
55 |
7 |
p. 131-136
|
artikel
|
| 10 |
Analytical RTO for a critical distillation process based on offline rigorous simulation
|
Brambilla, Alessandro
|
|
|
55 |
7 |
p. 143-148
|
artikel
|
| 11 |
A neural network regularization method to address variance inflation in autoencoders
|
Kim, Boeun
|
|
|
55 |
7 |
p. 744-749
|
artikel
|
| 12 |
An Extended Moving Horizon Estimation embedded with an Abridged Gaussian Sum Extended Kalman Filer to handle non-Gaussian noises
|
Valipour, Mahshad
|
|
|
55 |
7 |
p. 25-30
|
artikel
|
| 13 |
A Novel Method Designing Optimal Observer Gain for Robust Fault Detection
|
Tan, Junbo
|
|
|
55 |
7 |
p. 721
|
artikel
|
| 14 |
A Novel Two-step Sparse Learning Approach for Variable Selection and Optimal Predictive Modeling
|
Liu, Yiren
|
|
|
55 |
7 |
p. 57-64
|
artikel
|
| 15 |
Application of a Nonlinear Model Predictive Controller to the Anaerobic Digestion of Readily Biodegradable Wastes
|
García-Gen, Santiago
|
|
|
55 |
7 |
p. 909-914
|
artikel
|
| 16 |
Applying Tsallis Divergence to Proteins Organization Prediction Problems
|
Chernyshov, Kirill R.
|
|
|
55 |
7 |
p. 513-519
|
artikel
|
| 17 |
A Simulation Study on Model-Based Optimization of Intracellular Trehalose Accumulation in Saccharomyces cerevisiae Fed-Batch Cultures
|
Sbarciog, Mihaela
|
|
|
55 |
7 |
p. 762-767
|
artikel
|
| 18 |
A Stochastic Optimization based on Sample Average Approximation for a Boiler Process
|
de Almeida, Gustavo Matheus
|
|
|
55 |
7 |
p. 550-555
|
artikel
|
| 19 |
Bilevel programming as a means of infinite weighting in regression problems
|
Andersen, Joakim R.
|
|
|
55 |
7 |
p. 851-856
|
artikel
|
| 20 |
Bioprocess Monitoring: A Moving Horizon Estimation Experimental Application
|
Tuveri, Andrea
|
|
|
55 |
7 |
p. 222-227
|
artikel
|
| 21 |
Cell Metabolic Diagnosis and Control in CHO Fed-batch Process
|
Kuang, Bingyu
|
|
|
55 |
7 |
p. 37-44
|
artikel
|
| 22 |
Centralized optimization of resource routing in interconnected food production units with harvesting events*
|
Khatib, Mohammad Al
|
|
|
55 |
7 |
p. 322-327
|
artikel
|
| 23 |
Challenges and Opportunities for Next-Generation Manufacturing in Space
|
Nieman, Kip
|
|
|
55 |
7 |
p. 963-968
|
artikel
|
| 24 |
Characterizing Basal and Feed Media Effects on Mammalian Cell Cultures by Systems Engineering Approaches
|
Park, Seo-Young
|
|
|
55 |
7 |
p. 31-36
|
artikel
|
| 25 |
CNN-based Online Diagnosis of Knee-point in Li-ion Battery Capacity Fade Curve
|
Sohn, Suyeon
|
|
|
55 |
7 |
p. 181-185
|
artikel
|
| 26 |
Comparative Analysis Between Two Fuzzy Variants of Harmonic Search Algorithm: Fuzzy Fault Tolerant Control Application
|
Patel, Himanshukumar R.
|
|
|
55 |
7 |
p. 507-512
|
artikel
|
| 27 |
Comparison of Simple Feedback Control Structures for Constrained Optimal Operation
|
Bernardino, Lucas Ferreira
|
|
|
55 |
7 |
p. 883-888
|
artikel
|
| 28 |
Comparison Study of Dynamic Models for One-stage and Two-stage Anaerobic Digestion Processes
|
Pan, Ning
|
|
|
55 |
7 |
p. 667-672
|
artikel
|
| 29 |
Contents
|
|
|
|
55 |
7 |
p. i-viii
|
artikel
|
| 30 |
Control of a microfluidic separation process governed by the Zweifach-Fung effect
|
Petit, Nicolas
|
|
|
55 |
7 |
p. 975-980
|
artikel
|
| 31 |
Control of steam bottoming cycles using nonlinear input and output transformations for feedforward disturbance rejection
|
Zotică, Cristina
|
|
|
55 |
7 |
p. 969-974
|
artikel
|
| 32 |
Critical Manifolds Based-On State Controllability To Design Dynamic Systems
|
Pineda, Leonardo
|
|
|
55 |
7 |
p. 358-363
|
artikel
|
| 33 |
Cross-domain fault diagnosis through optimal transport for a CSTR process
|
Montesuma, Eduardo Fernandes
|
|
|
55 |
7 |
p. 946-951
|
artikel
|
| 34 |
Data-based Approach to Predict Feasibility and Computational Requirement for Chemical Production Scheduling
|
Kim, Boeun
|
|
|
55 |
7 |
p. 827-832
|
artikel
|
| 35 |
Data-based Sequential Design of 2 × 2 Multi-loop PID Controllers
|
Zhang, Yinan
|
|
|
55 |
7 |
p. 697-702
|
artikel
|
| 36 |
Data-driven Linear Predictor based on Maximum Likelihood Nonnegative Matrix Decomposition for Batch Cultures of Hybridoma Cells
|
Pimentel, Guilherme A.
|
|
|
55 |
7 |
p. 903-908
|
artikel
|
| 37 |
Data-driven Models for Advanced Control of Acid Gas Treatment in Waste-to-energy Plants
|
Bacci di Capaci, Riccardo
|
|
|
55 |
7 |
p. 869-874
|
artikel
|
| 38 |
Data-driven self-optimization of processes in the presence of the model-plant mismatch
|
Memarian, Alireza
|
|
|
55 |
7 |
p. 532-537
|
artikel
|
| 39 |
Data-Efficient Reinforcement Learning from Controller Guidance with Integrated Self-Supervision for Process Control
|
Bougie, Nicolas
|
|
|
55 |
7 |
p. 863-868
|
artikel
|
| 40 |
Data-enhanced learning compensation for linear predictive control of nonlinear chemical processes
|
Zhou, Yuanqiang
|
|
|
55 |
7 |
p. 774-779
|
artikel
|
| 41 |
Deep Reinforcement Learning Based Automatic Control in Semi-Closed Greenhouse Systems
|
Ajagekar, Akshay
|
|
|
55 |
7 |
p. 406-411
|
artikel
|
| 42 |
Designing neural network control policies under parametric uncertainty: A Koopman operator approach
|
Turan, Evren M.
|
|
|
55 |
7 |
p. 392-399
|
artikel
|
| 43 |
Determination of Density and Viscosity of Crude Oil Samples from FTIR Data using Multivariate Regression, Variable Selection and Classification
|
Alizadeh, Shahla
|
|
|
55 |
7 |
p. 845-850
|
artikel
|
| 44 |
Development of a Monitoring Environment for a Large-scale Surface-Flow Constructed Wetland
|
Maurice, Nicolas
|
|
|
55 |
7 |
p. 459-463
|
artikel
|
| 45 |
Development of a soft sensor to estimate the rheological properties of self-assembled systems: application to wormlike micelles (WLMs)
|
Pahari, Silabrata
|
|
|
55 |
7 |
p. 940-945
|
artikel
|
| 46 |
Development of Block Oriented Recursive and Constrained Parameter Estimation Schemes for ARMAX Models
|
Singh, Shrita
|
|
|
55 |
7 |
p. 7-12
|
artikel
|
| 47 |
Development of Wiener-Hammerstein Models Parameterized using Orthonormal Basis Filters and Deep Neural Network
|
Patel, Janak M.
|
|
|
55 |
7 |
p. 94-99
|
artikel
|
| 48 |
Direct Discretized Kernel Identification for Continuous Agglomeration Processes
|
Otto, Eric
|
|
|
55 |
7 |
p. 260-265
|
artikel
|
| 49 |
Distributionally Robust MPC for Nonlinear Systems
|
Zhong, Zhengang
|
|
|
55 |
7 |
p. 606-613
|
artikel
|
| 50 |
Dynamic Modeling and Nonlinear Model Predictive Control of a Moving Bed Chemical Looping Combustion Reactor
|
Parker, Robert B.
|
|
|
55 |
7 |
p. 400-405
|
artikel
|
| 51 |
Dynamic Modeling of Modified Styrene-Acrylonitrile Process
|
Ju, Sung Hyun
|
|
|
55 |
7 |
p. 272-277
|
artikel
|
| 52 |
Dynamic Optimization Study for Cryogenic Distillation in Hydrogen Isotope Separation System
|
Urm, Jae Jung
|
|
|
55 |
7 |
p. 168-173
|
artikel
|
| 53 |
Dynamic Process Monitoring Based on Integrated Statistic of Principal Component Analysis and Slow Feature Analysis
|
Ji, Cheng
|
|
|
55 |
7 |
p. 655-660
|
artikel
|
| 54 |
Dynamic simulator and model predictive control of a milk pasteurizer
|
Thostrup, Thomas Marschall
|
|
|
55 |
7 |
p. 538-543
|
artikel
|
| 55 |
Effect of the demethanizer improved control strategy on the separation train for the NGL separation process
|
Mandis, Marta
|
|
|
55 |
7 |
p. 889-894
|
artikel
|
| 56 |
Efficient and Simple Gaussian Process Supported Stochastic Model Predictive Control for Bioreactors using HILO-MPC
|
Morabito, Bruno
|
|
|
55 |
7 |
p. 922-927
|
artikel
|
| 57 |
Extent-based reconstruction of the inlet composition matrix in process systems with feed variability and unknown reaction dynamics
|
Méndez-Blanco, Carlos S.
|
|
|
55 |
7 |
p. 278-283
|
artikel
|
| 58 |
Fault Detection in a Fluid Catalytic Cracking Process using Bayesian Recurrent Neural Network
|
Taira, Gustavo R.
|
|
|
55 |
7 |
p. 715-720
|
artikel
|
| 59 |
Feedforward and output–feedback control of the cell distribution in chemostat yeast fermentations
|
Jerono, P.
|
|
|
55 |
7 |
p. 556-561
|
artikel
|
| 60 |
First-principles based surrogate modeling of pressure swing adsorption processes for CO2 capture
|
Chung, Wonsuk
|
|
|
55 |
7 |
p. 310-315
|
artikel
|
| 61 |
Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on Dynamic Time Warping*
|
Aizpuru, Judit
|
|
|
55 |
7 |
p. 216-221
|
artikel
|
| 62 |
Flexible operation of modular electrochemical CO2 reduction processes
|
Roh, K.
|
|
|
55 |
7 |
p. 298-303
|
artikel
|
| 63 |
Forward Physics-Informed Neural Networks Suitable for Multiple Operating Conditions of Catalytic CO2 Methanation Isothermal Fixed-Bed
|
Ngo, Son Ich
|
|
|
55 |
7 |
p. 429-434
|
artikel
|
| 64 |
Generic model based control of different specific rates in recombinant E. coli Fed-batch processes
|
Kager, Julian
|
|
|
55 |
7 |
p. 756-761
|
artikel
|
| 65 |
Hierarchical nonlinear model predictive control of offshore hybrid power systems
|
Hoang, Kiet Tuan
|
|
|
55 |
7 |
p. 470-476
|
artikel
|
| 66 |
High-Efficiency Generative Adversarial Network Model for Chemical Process Fault Diagnosis
|
Qin, Ruoshi
|
|
|
55 |
7 |
p. 732-737
|
artikel
|
| 67 |
Hybrid Gaussian Process Models for continuous time series in bolus fed-batch cultures
|
Cruz-Bournazou, M. Nicolás
|
|
|
55 |
7 |
p. 204-209
|
artikel
|
| 68 |
Hybrid modeling approach for terpolymerization reactions in CSTR
|
Lee, Kyoungmin
|
|
|
55 |
7 |
p. 266-271
|
artikel
|
| 69 |
Hybrid Model Predictive Control for Hybrid Electric Vehicle Energy Management Using an Efficient Mixed-Integer Formulation
|
Jung, Hyein
|
|
|
55 |
7 |
p. 501-506
|
artikel
|
| 70 |
Hybrid Physics-based and Data-driven Model Predictive Control for Multi-Zone Building's Thermal Comfort Under Disjunctive Uncertainty
|
Hu, Guoqing
|
|
|
55 |
7 |
p. 352-357
|
artikel
|
| 71 |
Identification of Human Operator Model Parameters in System with Saturated Actuator
|
Zaitceva, Iuliia
|
|
|
55 |
7 |
p. 526-531
|
artikel
|
| 72 |
Identifying interspecies interactions within a model methanotroph-photoautotroph coculture using semi-structured and structured modeling
|
Badr, Kiumars
|
|
|
55 |
7 |
p. 106-111
|
artikel
|
| 73 |
Impact of sensor placement in soil water estimation*
|
Orouskhani, Erfan
|
|
|
55 |
7 |
p. 340-345
|
artikel
|
| 74 |
Implementation of Control Structure for Steel Pickling Process using Model Predictive Controller
|
Lee, Ho Sub
|
|
|
55 |
7 |
p. 679-684
|
artikel
|
| 75 |
Implementation of Extremum Seeking Control in an Experimental Lab-Rig
|
Matias, Jose
|
|
|
55 |
7 |
p. 137-142
|
artikel
|
| 76 |
Improved offset-free model predictive control utilizing learned model-plant mismatch map
|
Son, Sang Hwan
|
|
|
55 |
7 |
p. 792-797
|
artikel
|
| 77 |
Improved spectral model building for using ATR-FTIR spectroscopy to measure solution concentration during cooling crystallization
|
Liu, Jingxiang
|
|
|
55 |
7 |
p. 833-838
|
artikel
|
| 78 |
Incremental Model Identification of Bio-processes from Data: Application to Microbial Production of Hyaluronic Acid
|
C, Kamakshi
|
|
|
55 |
7 |
p. 614-619
|
artikel
|
| 79 |
Inference of Kinetics in Population Balance Models using Gaussian Process Regression
|
Busschaert, Michiel
|
|
|
55 |
7 |
p. 384-391
|
artikel
|
| 80 |
Intelligent State Estimation for Online Optimizing Control of a Reactor System exhibiting Input Multiplicity
|
Bagla, Giriraj
|
|
|
55 |
7 |
p. 65-72
|
artikel
|
| 81 |
Kinetic modeling study of lignocellulose fractionation using 4-phenolsulfonic acid
|
Choi, Hyun-Kyu
|
|
|
55 |
7 |
p. 574-579
|
artikel
|
| 82 |
Knowledge-based optimal irrigation scheduling of three-dimensional agro-hydrological systems
|
Sahoo, Soumya R.
|
|
|
55 |
7 |
p. 441-446
|
artikel
|
| 83 |
Lexicographic Optimization Control Method Based Phase Recognition for Multiphase Batch Polymerization Reaction
|
Dong, Chao
|
|
|
55 |
7 |
p. 643-648
|
artikel
|
| 84 |
Linking process and metabolic modelling for the estimation of carbon flux distribution in Corynebacterium glutamicum growth in spent sulfite liquor
|
Lira-Parada, Pedro A.
|
|
|
55 |
7 |
p. 228-233
|
artikel
|
| 85 |
Long-Term Adaptation of Closed-Loop Glucose Regulation Via Reinforcement Learning Tools
|
Serafini, María Cecilia
|
|
|
55 |
7 |
p. 649-654
|
artikel
|
| 86 |
Long-term stable reduced models for hydraulic systems governed by Reynolds averaged Navier-Stokes equations
|
Reineking, Lucas
|
|
|
55 |
7 |
p. 254-259
|
artikel
|
| 87 |
LSTM and Statistical Learning for Dynamic Inferential Modeling with Applications to a 660MW Boiler
|
Li, Jicheng
|
|
|
55 |
7 |
p. 600-605
|
artikel
|
| 88 |
LSTM-based model predictive control with discrete actuators for irrigation scheduling
|
Agyeman, Bernard T.
|
|
|
55 |
7 |
p. 334-339
|
artikel
|
| 89 |
Machine learning-based analysis of the physio-chemical properties for the predictive thickness control of atomic layer deposition
|
Kim, Changsu
|
|
|
55 |
7 |
p. 626-631
|
artikel
|
| 90 |
Mathematical Modelling of Membrane CO2 Capture for Blue Hydrogen Production
|
Gu, Boram
|
|
|
55 |
7 |
p. 304-309
|
artikel
|
| 91 |
Method to design a neural network with minimal number of neurons for approximation problems
|
Ruppert, H.
|
|
|
55 |
7 |
p. 568-573
|
artikel
|
| 92 |
Minimizing risk in the scheduling of crudes in an oil refinery
|
García-Verdier, Tomás García
|
|
|
55 |
7 |
p. 809-814
|
artikel
|
| 93 |
Mixed Reality-based chemical reactor visualization
|
Gbadago, Dela Q.
|
|
|
55 |
7 |
p. 580-585
|
artikel
|
| 94 |
Model-Free Adaptive Control of the Failing Heart Managed by Mechanical Supporting Devices
|
Son, Jeongeun
|
|
|
55 |
7 |
p. 750-755
|
artikel
|
| 95 |
Model Identification and Model Predictive Control of Biopharmaceutical and Biomedical Systems
|
Rashid, Mudassir M.
|
|
|
55 |
7 |
p. 51-56
|
artikel
|
| 96 |
Modeling and Process Operability Analysis o f a Di rec t A i r Ca p t ure System
|
Gama, Vitor V.
|
|
|
55 |
7 |
p. 316-321
|
artikel
|
| 97 |
Modeling and Simulation of Upstream and Downstream Processes for Monoclonal Antibody Production
|
Wahlgreen, Morten Ryberg
|
|
|
55 |
7 |
p. 685-690
|
artikel
|
| 98 |
Modeling and Sustainability Assessment of Outdoor Chlorella vulgaris Cultivation in South Korea for Renewable Bioplastic Feedstock Production
|
Lee, Jeehwan
|
|
|
55 |
7 |
p. 242-247
|
artikel
|
| 99 |
Modeling the Carbon Cycle Dynamics and the Greenhouse Effect
|
Choi, Soo Hyoung
|
|
|
55 |
7 |
p. 424-428
|
artikel
|
| 100 |
Model Predictive Control for Blending Processes in Cement Plants
|
Zhang, Zhanhao
|
|
|
55 |
7 |
p. 483-488
|
artikel
|
| 101 |
Model predictive control guided with optimal experimental design for pulse-based parallel cultivation 1
|
Kim, Jong Woo
|
|
|
55 |
7 |
p. 934-939
|
artikel
|
| 102 |
Model Predictive Controller Design For Bioprocesses Based On Machine Learning Algorithms
|
Rashedi, Mohammad
|
|
|
55 |
7 |
p. 45-50
|
artikel
|
| 103 |
Model Predictive Control of Induced Draft Cooling Towers in a Large Scale Cooling Plant
|
Ghawash, Faiq
|
|
|
55 |
7 |
p. 161-167
|
artikel
|
| 104 |
Modulation-Function-Based Data-Driven Design of Fault Detection Systems for Continuous-Time LTI Systems
|
Jahn, Benjamin
|
|
|
55 |
7 |
p. 562-567
|
artikel
|
| 105 |
Molecular Reconstruction of Naphtha based on Physical Information Neural Network
|
Ma, Fangyuan
|
|
|
55 |
7 |
p. 186-191
|
artikel
|
| 106 |
Neural network model for atmospheric residue desulfurization conversion prediction using real plant data
|
Jung, Yungun
|
|
|
55 |
7 |
p. 192-197
|
artikel
|
| 107 |
New Measures for Shaping Trajectories in Dynamic Optimization
|
Pulsipher, Joshua L.
|
|
|
55 |
7 |
p. 495-500
|
artikel
|
| 108 |
Nonlinear Model Predictive Control and System Identification for a Dual-hormone Artificial Pancreas
|
Reenberg, Asbjørn Thode
|
|
|
55 |
7 |
p. 915-921
|
artikel
|
| 109 |
Nonlinear Model Predictive Control of Post-combustion CO2 Capture Process for Flexible Operation
|
Jung, Howoun
|
|
|
55 |
7 |
p. 435-440
|
artikel
|
| 110 |
No-Regret Bayesian Optimization with Unknown Equality and Inequality Constraints using Exact Penalty Functions
|
Lu, Congwen
|
|
|
55 |
7 |
p. 895-902
|
artikel
|
| 111 |
Novel multimodal data fusion soft sensor modeling framework based on meta-learning networks for complex chemical process
|
Xiaoyong, Gao
|
|
|
55 |
7 |
p. 839-844
|
artikel
|
| 112 |
Novel SVD integrated with GBDT based Virtual Sample Generation and Its Application in Soft Sensor
|
Zhu, Qun-Xiong
|
|
|
55 |
7 |
p. 952-956
|
artikel
|
| 113 |
On 1-D PDE-Based Cardiovascular Flow Bottleneck Modeling and Analysis: A Vehicular Traffic Flow-Inspired Approach
|
Bekiaris-Liberis, Nikolaos
|
|
|
55 |
7 |
p. 544-549
|
artikel
|
| 114 |
OneModel: an open-source SBML modeling tool focused on accessibility, simplicity and modularity
|
Santos-Navarro, F.N.
|
|
|
55 |
7 |
p. 125-130
|
artikel
|
| 115 |
Online Feedback-based Optimization with Multi-input Direct Constraint Control
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Dirza, Risvan
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55 |
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p. 149-154
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artikel
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| 116 |
Online optimal estimation and control for a common class of activated sludge plants
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Neto, Otacílio B.L.
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p. 447-452
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| 117 |
Online Optimal Tuning of Relay Feedback Controllers for a class of Second-Order Systems with Limited Measurements
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Hampe, Marc
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55 |
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p. 981-986
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artikel
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| 118 |
On the Implementation of a Preconditioned Riccati Recursion based Primal-Dual Interior-Point Algorithm for Input Constrained Optimal Control Problems⋆
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Wahlgreen, Morten Ryberg
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55 |
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p. 346-351
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artikel
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| 119 |
On the Practical Design of Tube-enhanced Multi-stage Nonlinear Model Predictive Control
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Subramanian, Sankaranarayanan
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55 |
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p. 477-482
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artikel
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| 120 |
Open-Loop Analysis for the Stability of Reactive Distillation Columns with Intermediate Condensers for the Production of Silane
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Alcántara-Avila, J. Rafael
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55 |
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p. 632-637
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artikel
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| 121 |
Optimal control and dynamic modulation of the ATPase gene expression for enforced ATP wasting in batch fermentations
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Espinel-Ríos, Sebastián
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55 |
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p. 174-180
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artikel
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| 122 |
Optimal control of renewable biohydrogen production: A switched system approach*
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Andrés-Martínez, Oswaldo
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55 |
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p. 292-297
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artikel
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| 123 |
Optimal Control of Water Quality in a Recirculating Aquaculture System
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dos Santos, Allyne M.
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55 |
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p. 328-333
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| 124 |
Optimal Process Design of Hydrogen Production Using Response Surface Methodology
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Kim, Boeun
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55 |
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p. 620-625
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artikel
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| 125 |
Optimization-based framework for technical, economic, and environmental performance assessment of CO2 utilization strategies
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Do, Thai Ngan
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55 |
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p. 412-417
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artikel
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| 126 |
Optimization of the dynamic regulation in a branch-in metabolic pathway
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Boada, Y.
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55 |
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p. 119-124
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| 127 |
Optimizing in-situ product removal operation in a bioreactor for different production scenarios
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Van der Hauwaert, Lucas
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55 |
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p. 768-773
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artikel
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| 128 |
Passivity of Single-phase Thermodynamic Systems with Equilibrium Reactions*
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Cai, Zicheng
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55 |
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p. 248-253
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artikel
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| 129 |
Physics Constrained Learning in Neural Network based Modeling
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Patel, Rahul S.
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55 |
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p. 79-85
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| 130 |
Predictive Control of Batch Crystallization Process Using Machine Learning
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Zheng, Yingzhe
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55 |
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p. 798-803
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| 131 |
Probabilistic dynamic-controlled latent variable model for pattern-space modelling and pattern-based stochastic model predictive control
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Zheng, Niannian
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55 |
7 |
p. 786-791
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artikel
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| 132 |
ProcessBERT: A Pre-trained Language Model for Judging Equivalence of Variable Definitions in Process Models*
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Kato, Shota
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55 |
7 |
p. 957-962
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artikel
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| 133 |
Process Optimization under Parameter Uncertainty Conditions in CCU Process
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Jeong, Dong Hwi
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55 |
7 |
p. 586-591
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artikel
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| 134 |
Quantum Computing and Resilient Design Perspectives for Cybersecurity of Feedback Systems
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Rangan, Keshav Kasturi
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55 |
7 |
p. 703-708
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artikel
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| 135 |
Recurrent Neural Network-Based Joint Chance Constrained Stochastic Model Predictive Control*
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Yang, Shu-Bo
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55 |
7 |
p. 780-785
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artikel
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| 136 |
Reinforcement Learning based Multi‐Step Look‐Ahead Bayesian Optimization
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Cheon, Mujin
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55 |
7 |
p. 100-105
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artikel
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| 137 |
Reliable nonlinear dynamic gray-box modeling by regularized training data estimation and sensitivity analysis
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Winz, Joschka
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55 |
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p. 86-93
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artikel
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| 138 |
Remaining Useful Life Estimation for Ball Bearings Using Feature Engineering and Extreme Learning Machine
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Lee, Jangwon
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55 |
7 |
p. 198-203
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| 139 |
Risk Averse Model Predictive Control of Bioreactors
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Bhonsale, Satyajeet
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55 |
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p. 928-933
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artikel
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| 140 |
Robust design of optimal experiments considering consecutive re-designs
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Mukkula, Anwesh Reddy Gottu
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55 |
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p. 13-18
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| 141 |
Robust optimization with optimal experiment design - with application to continuous biopharmaceutical production
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Wang, Yu
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55 |
7 |
p. 234-241
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| 142 |
Sensor Fault Accommodation for a Plug Flow Reactor using an M-Estimator
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Seth, Gaurav
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55 |
7 |
p. 738-743
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| 143 |
Simulation and 3-D Visualization of Crystallization Process Based on Cellular Automata
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Ai, Jiali
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55 |
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p. 661-666
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| 144 |
Simulation platform of an industrial propylene-propane splitter integrated to Advanced Process Control for Real Time Optimization experiments
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Oliveira-Silva, Erika
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55 |
7 |
p. 673-678
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artikel
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| 145 |
Simultaneous state and parameter estimation of not fully measured systems: a distributed approach
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Liu, Siyu
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55 |
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p. 1-6
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artikel
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| 146 |
Slug Length Estimation for Gas-liquid Slug Flow in T-shaped Microdevices with Liquid Film
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Miyabayashi, Keisuke
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55 |
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p. 210-215
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| 147 |
Soft Sensor for Melt Index Prediction Based on Long Short-Term Memory Network
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Song, Min Jun
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55 |
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p. 857-862
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artikel
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| 148 |
Spatiotemporal Metabolic Network Models Reveal Complex Autotroph-Heterotroph Biofilm Interactions Governed by Photon Incidences
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Phalak, Poonam
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55 |
7 |
p. 112-118
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artikel
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| 149 |
Stochastic MPC For Optimal Operation of Hydropower Station Under Uncertainty
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Jeong, Changhun
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55 |
7 |
p. 155-160
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artikel
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| 150 |
Stochastic optimization approaches in solving energy scheduling problems under uncertainty
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Pravin, P S
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55 |
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p. 815-820
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artikel
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| 151 |
Stochastic Optimization Model for Short-term Planning of Tanker Water Supply Systems in Urban Areas
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Maheshwari, A.
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55 |
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p. 464-469
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artikel
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| 152 |
Strain optimization for aromatic amino acids using an Escherichia coli kinetic model
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Fonseca, André
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55 |
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p. 691-696
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| 153 |
Surrogate-assisted fault detection framework for dynamic process
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Kiran, Baru Chandra
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55 |
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p. 726-731
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| 154 |
Synthesis of heat exchanger network with complex phase transition based on pinch technology and carbon tax
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Li, Dinghao
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55 |
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p. 418-423
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| 155 |
Systematic Estimation of Noise Statistics for Nonlinear Kalman Filters
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Krog, Halvor Aarnes
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55 |
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p. 19-24
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artikel
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| 156 |
Teaching Sustainable Food Systems Engineering in the times of a Pandemic
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Polańska, Monika E.
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p. 709-714
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artikel
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| 157 |
Techno-Economic Analysis of CO2 Capture from Pulp and Paper Mill Limekiln
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Parkhi, Amod
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55 |
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p. 284-291
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| 158 |
Test Methods for Image-Based Information in Next-Generation Manufacturing
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Oyama, Henrique
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55 |
7 |
p. 73-78
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| 159 |
The Similarity Index to Decompose Two-Stage Stochastic Scheduling Problems
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Montes, Daniel
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55 |
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p. 821-826
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artikel
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| 160 |
Unmanned and Autonomous Systems: Future of Automation in Process and Energy Industries
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Borghesan, Francesco
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55 |
7 |
p. 875-882
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artikel
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| 161 |
Visual Analytics: A New Paradigm for Process Monitoring
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Yousef, Ibrahim
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55 |
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p. 376-383
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artikel
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| 162 |
When is gray-box modeling advantageous for virtual flow metering?
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Hotvedt, M.
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55 |
7 |
p. 520-525
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