| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accelerated modeling and design of a mixed refrigerant cryogenic process using a data-driven approach
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Alimardani, Hosein
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C |
p.
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artikel
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| 2 |
A comparison of artificial intelligence models for predicting phosphate removal efficiency from wastewater using the electrocoagulation process
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Gholami Shirkoohi, Majid
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C |
p.
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artikel
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| 3 |
A Convolutional Neural Network-based gradient boosting framework for prediction of the band gap of photo-active catalysts
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Kumar, Avan
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C |
p.
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artikel
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| 4 |
Adaptive digital twins for energy-intensive industries and their local communities
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Walmsley, Timothy Gordon
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C |
p.
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artikel
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| 5 |
A 3-D multiphase model of proton exchange membrane electrolyzer based on open-source CFD
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Xu, Yifan
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C |
p.
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artikel
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| 6 |
A framework for enhancing industrial soft sensor learning models
|
Mattos, João Guilherme
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C |
p.
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artikel
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| 7 |
A graph embedding based fault detection framework for process systems with multi-variate time-series datasets
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Goswami, Umang
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C |
p.
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artikel
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| 8 |
Air Quality Index prediction using machine learning for Ahmedabad city
|
Maltare, Nilesh N.
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C |
p.
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artikel
|
| 9 |
Ammonia-based green corridors for sustainable maritime transportation
|
Wang, Hanchu
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C |
p.
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artikel
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| 10 |
Anaerobic co-digestion of food waste and agricultural residues: An overview of feedstock properties and the impact of biochar addition
|
Rowan, Max
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C |
p.
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artikel
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| 11 |
Analysis of model predictive control in numbered-up modular facilities
|
Dai, Yi
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C |
p.
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artikel
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| 12 |
Analysis of the interfacial force effect on simulated oxygen transfer of a bubble column using computational fluid dynamics
|
Silva, Ana Carolina Borges
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C |
p.
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artikel
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| 13 |
A new fractional model applied to description of the viscoelastic creep behavior of two Brazilian oils and their w/o emulsions
|
do Carmo, Wesley P.
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C |
p.
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artikel
|
| 14 |
An incremental fuzzy approach to risk-based evaluation of process equipment isolation schemes
|
Cheraghi, Morteza
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C |
p.
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artikel
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| 15 |
An MIQP framework for metabolic pathways optimisation and dynamic flux analysis
|
Gerken-Starepravo, Lucas
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C |
p.
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artikel
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| 16 |
A novel linear hybrid model predictive control design: application to a fed batch crystallization process
|
McKay, Alexander
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C |
p.
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artikel
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| 17 |
A one-class support vector machine for detecting valve stiction
|
O’Neill, Harrison
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C |
p.
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artikel
|
| 18 |
A Physics-Informed Neural Networks (PINN) oriented approach to flow metering in oil wells: an ESP lifted oil well system as a case study
|
Franklin, Taniel S.
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C |
p.
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artikel
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| 19 |
Application of a predictive Q-learning algorithm on the multiple-effect evaporator in a sugarcane ethanol biorefinery
|
Emori, Erick Y.
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C |
p.
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artikel
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| 20 |
Application of Response Surface Methodology based D-optimal Design for Modeling and Optimisation of Osmotic dehydration of Zucchini
|
Rahman, S.M.A.
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C |
p.
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artikel
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| 21 |
A reachable set-based scheme for the detection of false data injection cyberattacks on dynamic processes
|
Narasimhan, Shilpa
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C |
p.
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artikel
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| 22 |
A review and perspective on hybrid modeling methodologies
|
Schweidtmann, Artur M.
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C |
p.
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artikel
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| 23 |
A review of automated and data-driven approaches for pathway determination and reaction monitoring in complex chemical systems
|
Puliyanda, Anjana
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C |
p.
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artikel
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| 24 |
A roadmap for designing eXtended reality tools to teach unit operations in chemical engineering: Learning theories & shifting pedagogies
|
Carberry, Deborah E
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C |
p.
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artikel
|
| 25 |
Artificial intelligence driven smart operation of large industrial complexes supporting the net-zero goal: Coal power plants
|
Ashraf, Waqar Muhammad
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C |
p.
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artikel
|
| 26 |
A scoping review of supervised learning modelling and data-driven optimisation in monoclonal antibody process development
|
Pham, Tien Dung
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C |
p.
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artikel
|
| 27 |
A strategic plan for developing eXtended reality tools to teach unit operations in chemical engineering: Defining needs, technology selection and project resources
|
Carberry, Deborah E
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C |
p.
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artikel
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| 28 |
A surrogate model of sigma profile and COSMOSAC activity coefficient predictions of using transformer with SMILES input
|
Kang, Jia-Lin
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C |
p.
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artikel
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| 29 |
A three-level hierachical framework for additive manufacturing
|
Ren, Yi Ming
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C |
p.
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artikel
|
| 30 |
A two-step multivariate statistical learning approach for batch process soft sensing
|
Hicks, Aaron
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C |
p.
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artikel
|
| 31 |
Audio signals and artificial neural networks for classification of plastic resins for recycling
|
Tessarini, Letícia
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C |
p.
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artikel
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| 32 |
A Unified Approach for modeling and control of crystallization of quantum dots (QDs)
|
Sitapure, Niranjan
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C |
p.
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artikel
|
| 33 |
A user-friendly lithium battery simulator based on open-source CFD
|
Jiang, Yang
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C |
p.
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artikel
|
| 34 |
Automated well control: A step change in safety
|
Atchison, Bryan
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C |
p.
|
artikel
|
| 35 |
Automatic differentiation rules for Tsoukalas–Mitsos convex relaxations in global process optimization
|
Yuan, Yingwei
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C |
p.
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artikel
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| 36 |
Automation on thermal control of blast furnace
|
Masuda, Ryosuke
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C |
p.
|
artikel
|
| 37 |
Bayesian neural network with efficient priors for online quality prediction
|
Zhang, Xu
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C |
p.
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artikel
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| 38 |
Case hacks in action: Examples from a case study on green chemistry in education for sustainable development
|
Fors, Per
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C |
p.
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artikel
|
| 39 |
-30°C cold start optimization of PEMFC based on a data-driven surrogate model and multi-objective optimization algorithm
|
Zhang, Fan
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C |
p.
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artikel
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| 40 |
CFD-based deep neural networks (DNN) model for predicting the hydrodynamics of fluidized beds
|
Nadda, Mahesh
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C |
p.
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artikel
|
| 41 |
Chemical looping with oxygen uncoupling of hydrochar in a combined cycle for renewable and low-emission power generation
|
Villegas, Eduardo
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C |
p.
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artikel
|
| 42 |
Cloud-based virtual flow metering system powered by a hybrid physics-data approach for water production monitoring in an offshore gas field
|
Nemoto, Rafael H.
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C |
p.
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artikel
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| 43 |
Complementary role of large language models in educating undergraduate design of distillation column: Methodology development
|
Kong, Zong Yang
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C |
p.
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artikel
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| 44 |
Computational applications using data driven modeling in process Systems: A review
|
Bishnu, Sumit K.
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C |
p.
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artikel
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| 45 |
Computational Fluid Dynamics (CFD) analysis of the heat transfer and fluid flow of copper (II) oxide-water nanofluid in a shell and tube heat exchanger
|
Cruz, Patricia Anne D.
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C |
p.
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artikel
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| 46 |
Computational fluid dynamics modeling of a wafer etch temperature control system
|
Oyama, Henrique
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C |
p.
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artikel
|
| 47 |
Control of a closed dry grinding circuit with ball mills using predictive control based on neural networks
|
Bannoud, Mohamad Al
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C |
p.
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artikel
|
| 48 |
Corrigendum to ‘Ammonia-based green corridors for sustainable maritime transportation’ [Digital Chemical Engineering 6 (2023) 100082]
|
Wang, Hanchu
|
|
|
|
C |
p.
|
artikel
|
| 49 |
Corrigendum to: “Severe slugging flow identification from topological indicators” Digital Chemical Engineering (2022), volume 4, 100045-100056
|
Casolo, Simone
|
|
|
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C |
p.
|
artikel
|
| 50 |
Coupling ATR-FTIR spectroscopy with multivariate analysis for polymers manufacturing and control of polymers’ molecular weight
|
Nguyen, Tung
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|
C |
p.
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artikel
|
| 51 |
Data-driven applications for wind energy analysis and prediction: The case of “La Haute Borne” wind farm
|
Mandzhieva, Radmila
|
|
|
|
C |
p.
|
artikel
|
| 52 |
Data-driven digitalization of an armfield UOP3CC distillation unit
|
Araújo, Willy
|
|
|
|
C |
p.
|
artikel
|
| 53 |
Data-Driven Natural Gas Compressor Models for Gas Transport Network Optimization
|
Marfatia, Zaid
|
|
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|
C |
p.
|
artikel
|
| 54 |
Design and optimal tuning of fraction order controller for multiple stage evaporator system
|
Pati, Smitarani
|
|
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|
C |
p.
|
artikel
|
| 55 |
Design of a machine learning-aided screening framework for antibiofilm peptides
|
Puchakayala, Hema Chandra
|
|
|
|
C |
p.
|
artikel
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| 56 |
Design of microfluidic chromatographs through reinforcement learning
|
Shahab, Mohammad
|
|
|
|
C |
p.
|
artikel
|
| 57 |
Design of mosquito repellent molecules via the integration of hyperbox machine learning and computer aided molecular design
|
Hatamleh, Mohamad
|
|
|
|
C |
p.
|
artikel
|
| 58 |
Determining appropriate input excitation for model identification of a continuous bio-process
|
Sarna, Samardeep
|
|
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|
C |
p.
|
artikel
|
| 59 |
Development of a machine learning framework to determine optimal alloy composition based on steel hardenability prediction
|
Allen, Louis
|
|
|
|
C |
p.
|
artikel
|
| 60 |
Development of a recurrent neural networks-based NMPC for controlling the concentration of a crystallization process
|
Lima, Fernando Arrais R． D．
|
|
|
|
C |
p.
|
artikel
|
| 61 |
Development of directed randomization for discussing a minimal security architecture
|
Oyama, Henrique
|
|
|
|
C |
p.
|
artikel
|
| 62 |
Digitalisation of chemical processes as graphs and applications of modular decomposition to process design and analysis
|
Martinez-Hernandez, Elias
|
|
|
|
C |
p.
|
artikel
|
| 63 |
Digitalization of an experimental electrochemical reactor via the smart manufacturing innovation platform
|
Çıtmacı, Berkay
|
|
|
|
C |
p.
|
artikel
|
| 64 |
Digitally enabled approaches for the scale up of mammalian cell bioreactors
|
Karimi Alavijeh, Masih
|
|
|
|
C |
p.
|
artikel
|
| 65 |
Digital twin assisted decision support system for quality regulation and leak localization task in large-scale water distribution networks
|
Brahmbhatt, Parth
|
|
|
|
C |
p.
|
artikel
|
| 66 |
Digital twins in food processing: A conceptual approach to developing multi-layer digital models
|
A＊ Udugama, Isuru
|
|
|
|
C |
p.
|
artikel
|
| 67 |
Digitization of chemical process flow diagrams using deep convolutional neural networks
|
Theisen, Maximilian F.
|
|
|
|
C |
p.
|
artikel
|
| 68 |
Distributional reinforcement learning for inventory management in multi-echelon supply chains
|
Wu, Guoquan
|
|
|
|
C |
p.
|
artikel
|
| 69 |
Dynamic optimisation of CO2 electrochemical reduction processes driven by intermittent renewable energy: Hybrid deep learning approach
|
Tai, Xin Yee
|
|
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|
C |
p.
|
artikel
|
| 70 |
Dynamic risk-based process design and operational optimization via multi-parametric programming
|
Ali, Moustafa
|
|
|
|
C |
p.
|
artikel
|
| 71 |
Editorial: Machine learning for chemical processes
|
Aviso, Kathleen
|
|
|
|
C |
p.
|
artikel
|
| 72 |
Editorial: Process systems engineering Brazil–PSE-BR––2022
|
de Souza Jr., Maurício B.
|
|
|
|
C |
p.
|
artikel
|
| 73 |
Editorial - special issue on autonomy, safety, and security for cyber-physical systems in the process industries
|
Wu, Zhe
|
|
|
|
C |
p.
|
artikel
|
| 74 |
Editorial: Special issue on Modeling, control and monitoring of process systems in the era of big data
|
Bao, Jie
|
|
|
|
C |
p.
|
artikel
|
| 75 |
Embedded predictive controller based on fuzzy linear parameter-varying model: A hardware-in-the-loop application to an ESP-lifted oil well system
|
Matos, Victor S.
|
|
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|
C |
p.
|
artikel
|
| 76 |
Encrypted distributed model predictive control with state estimation for nonlinear processes
|
Kadakia, Yash A.
|
|
|
|
C |
p.
|
artikel
|
| 77 |
Energy, economic, environment assessment and process safety of methylchloride plant using Aspen HYSYS simulation model
|
Yandrapu, Vikranth Pridhvi
|
|
|
|
C |
p.
|
artikel
|
| 78 |
Energy System Optimization for Net-Zero Electricity
|
Sadhukhan, Jhuma
|
|
|
|
C |
p.
|
artikel
|
| 79 |
Evaluation of dynamic responses of a BFB boiler furnace by means of CFD modelling
|
Huttunen, Marko
|
|
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|
C |
p.
|
artikel
|
| 80 |
Evolutionary data driven modeling and tri-objective optimization for noisy BOF steel making data
|
Mahanta, Bashista Kumar
|
|
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C |
p.
|
artikel
|
| 81 |
Experimental validation of a multiphysics model for the microwave-assisted pasteurization of apple juice
|
Oishi, Tamires K.
|
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|
C |
p.
|
artikel
|
| 82 |
Exploring the benefits of molten salt reactors: An analysis of flexibility and safety features using dynamic simulation
|
Ho, An
|
|
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|
C |
p.
|
artikel
|
| 83 |
Framework for discovering porous materials: Structural hybridization and Bayesian optimization of conditional generative adversarial network
|
Matsuda, Yosuke
|
|
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|
C |
p.
|
artikel
|
| 84 |
Gas-liquid flow regimes identification using non-intrusive Doppler ultrasonic sensor and convolutional recurrent neural networks in an s-shaped riser
|
Kuang, Boyu
|
|
|
|
C |
p.
|
artikel
|
| 85 |
Generalizability and limitations of machine learning for yield prediction of oxidative coupling of methane
|
Siritanaratkul, Bhavin
|
|
|
|
C |
p.
|
artikel
|
| 86 |
GP-based MPC with updating tube for safety control of unknown system
|
Zheng, Yi
|
|
|
|
C |
p.
|
artikel
|
| 87 |
Hierarchical MPC for a dynamic process system employing parametric global optimization strategy
|
Gupta, Subhi
|
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C |
p.
|
artikel
|
| 88 |
Hybrid modelling for remote process monitoring and optimisation
|
Hamid, Anuar
|
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|
C |
p.
|
artikel
|
| 89 |
Hyperparameter optimization strategies for machine learning-based stochastic energy efficient scheduling in cyber-physical production systems
|
Pravin, P.S
|
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|
C |
p.
|
artikel
|
| 90 |
Improving computational efficiency of machine learning modeling of nonlinear processes using sensitivity analysis and active learning
|
Zhao, Tianyi
|
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|
C |
p.
|
artikel
|
| 91 |
Industry 4.0 in Action: Digitalisation of a Continuous Process Manufacturing for Formulated Products
|
Ntamo, D.
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C |
p.
|
artikel
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| 92 |
Information needs and challenges in future process safety
|
Lee, John
|
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C |
p.
|
artikel
|
| 93 |
Insight into evolutionary optimization approach of batch and fed-batch fermenters for lactic acid production
|
Gujarathi, Ashish M.
|
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|
C |
p.
|
artikel
|
| 94 |
Integrating transfer learning within data-driven soft sensor design to accelerate product quality control
|
Kay, Sam
|
|
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|
C |
p.
|
artikel
|
| 95 |
Integration of surface-enhanced Raman spectroscopy (SERS) and machine learning tools for coffee beverage classification
|
Hu, Qiang
|
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C |
p.
|
artikel
|
| 96 |
Introducing Digital Chemical Engineering (DChE)
|
Xuan, Jin
|
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C |
p.
|
artikel
|
| 97 |
Investigating an amplitude amplification-based optimization algorithm for model predictive control
|
Nieman, Kip
|
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|
C |
p.
|
artikel
|
| 98 |
Kharitonov theorem-based robust control approach for sustainable microgrid against DoS cyber-attack
|
Sharma, Komal
|
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C |
p.
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artikel
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| 99 |
Local interpretation of nonlinear regression model with k-nearest neighbors
|
Kaneko, Hiromasa
|
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C |
p.
|
artikel
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| 100 |
Machine learning applications in biomass pyrolysis: From biorefinery to end-of-life product management
|
Akinpelu, David Akorede
|
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|
C |
p.
|
artikel
|
| 101 |
Machine Learning Based Flow Regime Identification using Ultrasonic Doppler Data and Feature Relevance Determination
|
Roxas II, Ricardo
|
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C |
p.
|
artikel
|
| 102 |
Machine learning based modelling and optimization of post-combustion carbon capture process using MEA supporting carbon neutrality
|
Ashraf, Waqar Muhammad
|
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|
C |
p.
|
artikel
|
| 103 |
Machine learning-based predictive control of nonlinear time-delay systems: Closed-loop stability and input delay compensation
|
Alnajdi, Aisha
|
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C |
p.
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artikel
|
| 104 |
Microcontrollers programming for control and automation in undergraduate biotechnology engineering education
|
Márquez-Vera, M.A.
|
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C |
p.
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artikel
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| 105 |
Model-based design and optimization of GSSR chromatography for peptide purification
|
Santos, Tiago P.D.
|
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C |
p.
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artikel
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| 106 |
Modeling and economic optimization of an industrial site for natural gas processing: A nonlinear optimization approach
|
Souza, Tayná E.G.
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C |
p.
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artikel
|
| 107 |
Modeling and experimental measurement of NaBr solubility in water, methanol, ethanol, 1-propanol, and its mixtures at different temperatures
|
Ferrari, Ana C.G.
|
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C |
p.
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artikel
|
| 108 |
Modeling and simulation of the enzymatic kinetics for the production of Galactooligosaccharides (GOS) using an Artificial Neural Network hybrid model
|
Hoyos, Juan D.
|
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C |
p.
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artikel
|
| 109 |
Model predictive control of an electrically-heated steam methane reformer
|
Çıtmacı, Berkay
|
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|
|
C |
p.
|
artikel
|
| 110 |
Model predictive control of power plant cycling using Industry 4.0 infrastructure
|
Kestering, Daniel
|
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|
C |
p.
|
artikel
|
| 111 |
Model stacking to improve prediction and variable importance robustness for soft sensor development
|
Barton, Maxwell
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C |
p.
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artikel
|
| 112 |
Modified smith predictor for slug control with large valve stroke time in unstable systems
|
Henry, Tandoh
|
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C |
p.
|
artikel
|
| 113 |
Multiscale computational fluid dynamics modeling of an area-selective atomic layer deposition process using a discrete feed method
|
Wang, Henrik
|
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C |
p.
|
artikel
|
| 114 |
Online monitoring of spatial-temporal distribution of harmful gases during advanced oxidation of NO by convolutional networks and gated recurrent units
|
Liu, Yue
|
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C |
p.
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artikel
|
| 115 |
Physics-Informed deep learning to predict flow fields in cyclone separators
|
Queiroz, L.H.
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C |
p.
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artikel
|
| 116 |
Predicting crude oil properties using fourier-transform infrared spectroscopy (FTIR) and data-driven methods
|
Yang, Shu-Bo
|
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C |
p.
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artikel
|
| 117 |
Predicting Drying Curves in Algal Biorefineries using Gaussian Process Autoregressive Models
|
Pilario, Karl Ezra S.
|
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C |
p.
|
artikel
|
| 118 |
Prediction of flooding in distillation columns using machine learning
|
Ochoa-Estopier, Lluvia M.
|
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C |
p.
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artikel
|
| 119 |
Predictive models for upstream mammalian cell culture development - A review
|
Yatipanthalawa, Bhagya S.
|
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C |
p.
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artikel
|
| 120 |
Process control of mAb production using multi-actor proximal policy optimization
|
Gupta, Nikita
|
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C |
p.
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artikel
|
| 121 |
Quantifying the impact of delivery day flexibility on last-mile delivery costs
|
Izadkhah, Aliakbar
|
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C |
p.
|
artikel
|
| 122 |
Question answering system for chemistry—A semantic agent extension
|
Zhou, Xiaochi
|
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C |
p.
|
artikel
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| 123 |
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Robust control for anaerobic digestion systems of Tequila vinasses under uncertainty: A Deep Deterministic Policy Gradient Algorithm
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Robust LNG sales planning under demand uncertainty: A data-driven goal-oriented approach
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RSM optimization and yield prediction for biodiesel produced from alkali-catalytic transesterification of pawpaw seed extract: Thermodynamics, kinetics, and Multiple Linear Regression analysis
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Self-service analytics and the processing of hydrocarbons
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Severe slugging flow identification from topological indicators
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Simultaneous tuning of multiple PID controllers for multivariable systems using deep reinforcement learning
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Slug Flow Control in an S-shape Pipeline-Riser System using an Ultrasonic Sensor
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Source localization for illegal plastic burning in Malaysia via CFD-ANN approach
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Steady-state and transient dynamics for sweetening of LPG process
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Studies on crystallization process for pharmaceutical compounds using ANN modeling and model based control
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The Digital Design Basis. Demonstrating a framework to reduce costs and improve quality in early‐phase design
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The impact of the electrification of buildings on the environment, economics, and housing affordability: A grid-response and life cycle assessment approach
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Thermal control of coke furnace by data-driven approach
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Using artificial intelligence to support the drawing of piping and instrumentation diagrams using DEXPI standard
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Water desalination using PSO-ANN techniques: A critical review
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