yusuke1997/dblp-id-title huggingface dataset:
A graph-theoretic framework for analyzing and designing chemical engineering curricula
Transient and steady-state models for simulated moving bed processes: numerical solutions
End-to-end reinforcement learning of Koopman models for economic nonlinear model predictive control
Tensorial approaches combining time series and batch data for the end-to-end batch manufacturing of monoclonal antibodies
Order reduction of large scale DAE models
Editorial of FOCAPO/CPC 2017
Numerical simulation of nanocrystal synthesis in a microfluidic reactor
A systematic generation of reactor designs: I. Isothermal conditions
Integrated gasification combined cycle (IGCC) process simulation and optimization
A fuzzy multiobjective algorithm for multiproduct batch plant: Application to protein production
A Generalized Framework for Reactor Network Synthesis: A Graph Theoretic Approach
Integrating economic, environmental, and social sustainability in Power-to-Ammonia plants: A multi-objective optimization methodology
Optimal design and scheduling of a solar-assisted domestic desalination systems
Robust parameter tuning method of LW-PLS and verification of its effectiveness by twelve industrial processes
On the effect of sampling rate and experimental noise in the discrimination between microbial growth models in the suboptimal temperature range
Industrial scheduling solution based on flexible heuristics
Machine learning-guided space-filling designs for high throughput liquid formulation development
Enzymatic reactor selection and derivation of the optimal operation policy, by using a model-based modular simulation platform
Optimal synthesis and scheduling of hybrid dynamic/steady-state property integration networks
Towards a controllability analysis of multiscale systems: Application of the set-theoretic approach to a semi-batch emulsion polymerization process
Strategic value optimization and analysis of multi-product biomass refineries with multiple stakeholder considerations
Predicting the temperature-dependent CMC of surfactant mixtures with graph neural networks
Process intensification of reactive separator networks through the IDEAS conceptual framework
Synthesis of water networks for industrial parks considering inter-plant allocation
Data clustering for model-prediction discrepancy reduction - A case study of solids transport in oil/gas pipelines
Population balance modeling of flotation pulp: The route from process frequency functions to spatially distributed models
Impact of model structure on the performance of dynamic data reconciliation
Model-based analysis of a twin-screw wet granulation system for continuous solid dosage manufacturing
Modified nonlinear generalized ridge regression and its application to develop naphtha cut point soft sensor
Optimal experimental design for identification of transport coefficient models in convection-diffusion equations
CAPD - computer-aided plant design
Prediction of secondary structures of proteins using a two-stage method
Robust predictive fault-tolerant switching control for discrete linear systems with actuator random failures
A method for systematic improvement of stochastic grey-box models
Semantically enabled process synthesis and optimisation
Production of biodiesel from Jatropha curcas L. oil
On Green's function methods to solve nonlinear reaction-diffusion systems
Towards multiscale modelling in product engineering
Modeling and simulation of fixed bed adsorbers (FBAs) for multi-component gaseous separations
Applications of augmented reality (AR) in chemical engineering education: Virtual laboratory work demonstration to digital twin development
Surrogate-based optimization for mixed-integer nonlinear problems
Spontaneous emergence of complex optimal networks through evolutionary adaptation
Multi-objective process design in multi-purpose batch plants using a Tabu Search optimization algorithm
Combining optimization and simulation for strategic and operational industrial gas production and distribution
An extended mathematical programming framework
Process simulation and optimal design of membrane separation system for CO 2 capture from natural gas
CFD modelling of a mixing chamber for the realisation of functionally graded scaffolds
Development of a novel framework for the design of transport policies to achieve environmental targets
A simple auto-tuner in frequency domain
Logistics for world-wide crude oil transportation using discrete event simulation and optimal control
Automated process design of acid gas removal units in natural gas processing
Surrogate-based black-box optimisation via domain exploration and smart placement
Reduction of complex energy-integrated process networks using graph theory
Multi-purpose economic optimal experiment design applied to model based optimal control
Planning and scheduling of industrial supply chains with reverse flows: A real pharmaceutical case study
Model-based experimental screening for DOC parameter estimation
Response surface strategies in constructing statistical bubble flow models for the development of a novel bubble column simulation approach
Low-level flexible-structure control applied to heat exchanger networks
Enhancing the ϵ-constraint method through the use of objective reduction and random sequences: Application to environmental problems
Prediction of variables involved in TEG Dehydration using hybrid models based on boosting algorithms
On the scheduling of leak detection personnel
Towards zero carbon emissions: Electrification and decarbonization of an ethylene Plant's utility system
Control-aware batch process scheduling
Supplier selection and operation planning in biomass supply chains with supply uncertainty
Process systems engineering: A retrospective view with questions for the future
Novel spatiotemporal graph attention model for production prediction and energy structure optimization of propylene production processes
Iterative set-point optimization of batch chromatography
Oil industry value chain simulation with learning agents
Quality-driven Gaussian mixture variational probabilistic network for soft sensor application in PET/PA6 polymerization process
Detailed modelling of a flue-gas desulfurisation plant
System model of a tablet manufacturing process
Mechanistic soft-sensor design for protein refolding processes based on intrinsic fluorescence measurements
Enhancing data quality in wastewater processes: Missing data imputation with deep Variational Autoencoders and genetic algorithms
Chemical product design: Advances in and proposed directions for research and teaching
Assessing the sensitivity of water networks to noisy mass loads using Monte Carlo simulation
An NSF perspective on next generation hydrocarbon biorefineries
Modeling the kinetics of the coalescence of water droplets in crude oil emulsions subject to an electric field, with the cellular automata technique
Optimal control of batch processes using particle swam optimisation with stacked neural network models
Black tea cream effect on polyphenols optimization using statistical analysis
Probabilistic reactor design in the framework of elementary process functions
Enterprise-wide modeling & optimization - An overview of emerging research challenges and opportunities
Systematic mesh development for 3D CFD simulation of fixed beds: Contact points study
A graphical CO 2 emission treatment intensity assessment for energy and economic analyses of integrated decarbonised production systems
Simulations of SELEX against complex receptors with a condensed statistical model
Advanced data-driven fault detection in gas-to-liquid plants
Integration of process knowledge and statistical learning for the Dow data challenge problem
Multi-mode operation of principal component analysis with k-nearest neighbor algorithm to monitor compressors for liquefied natural gas mixed refrigerant processes
Process modelling of dimethyl ether production from Victorian brown coal - Integrating coal drying, gasification and synthesis processes
The BOG dynamic generation model of LNG storage tank considering the SEMP operation
Energy, water and process technologies integration for the simultaneous production of ethanol and food from the entire corn plant
Developing non-linear rate constant QSPR using decision trees and multi-gene genetic programming
Modelling of forward roll coating flows with a deformable roll: Application to non-Newtonian industrial coating formulations
Flexible networks to promote the development of industrial symbioses: A new optimization procedure
Efficient nested modifier-adaptation methodology for dealing with process constraints in real-time optimization
Generalized modeling principles of a nonlinear system with a dynamic fuzzy network
Dynamic systems modelling using genetic programming
Parallel optimization by means of a Spectral-Projected-Gradient approach
Optimal design of reactive distillation systems: Application to the production of ethyl tert-butyl ether (ETBE)
Pinch multi-agent genetic algorithm for optimizing water-using networks
From text to meaning: Semantic interpretation of non-standardized metadata in piping and instrumentation diagrams
Mean squared error criterion for model-based design of experiments with subset selection
A methodological design framework for hydrogen and methane supply chain with special focus on Power-to-Gas systems: Application to Occitanie region, France
Modifier Adaptation methodology based on transient and static measurements for RTO to cope with structural uncertainty
Online fault detection and classification of chemical process systems leveraging statistical process control and Riemannian geometric analysis
Oversizing analysis in plant-wide control design for industrial processes
A hybrid MILP/CP decomposition approach for the continuous time scheduling of multipurpose batch plants
Searching for optimal process routes: A reinforcement learning approach
A generalized superstructure-based framework for process synthesis
Assessing energetic and available fuel demands from a soybean biorefinery producing refined oil, biodiesel, defatted meal and power
Feasibility in real-time optimization under model uncertainty. The use of Lipschitz bounds
Computer vision system for froth-middlings interface level detection in the primary separation vessels
Temporal and spatial Lagrangean decompositions in multi-site, multi-period production planning problems with sequence-dependent changeovers
A hierarchical scheme for dynamic monitoring of multi-scale multi-mode systems
Absorption-compression hybrid refrigeration analysis and application for energy conservation of cryogenic separation in propane dehydrogenation
Input variable selection using machine learning and global sensitivity methods for the control of sludge bulking in a wastewater treatment plant
Simulation of freezing of water-saturated porous media in a rectangular cavity under multiple heat sources with different temperature using a combined transfinite interpolation and PDE methods
Diagnosis of linear programming supply chain optimization models: Detecting infeasibilities and minimizing changes for new parameter values
Hybrid method and associated tools for synthesis of sustainable process flowsheets
Optimal storage design for a multi-product plant: A non-convex MINLP formulation
Simultaneous optimization of batch process schedules and water-allocation network
An ontology-based approach to knowledge management in design processes
Forty years of computers & chemical engineering: A bibliometric analysis
Erratum to "Dynamic optimization of batch processes II. Role of measurements in handling uncertainty": [Computers and Chemical Engineering 27 (2003) 27-44]
Optimal sensor deployment in a large-scale complex drinking water network: Comparisons between a rule-based decision support system and optimization models
Evaluation of chlorophenol removal from wastewater using multi-stage spiral-wound reverse osmosis process via simulation
Shape anomaly detection for process monitoring of a sequencing batch reactor
Design of integrated biorefineries
Novel approaches for geospatial risk analytics in the energy-water-food nexus using an EWF nexus node
On the P-formulation and the split-fraction-formulation for the generalized pooling problem
Recursive subspace identification with prior information using the constrained least squares approach
Adaptive extremum seeking control of a non-isothermal tubular reactor with unknown kinetics
Exploitation of the control switching structure in multi-stage optimal control problems by adaptive shooting methods
Determination of optimum gas holdup conditions in a three-phase fluidized bed by genetic algorithm
Recursive constrained state estimation using modified extended Kalman filter
Industrial datasets and a tool for SISO control loops data visualization and analysis
Real-time plume tracking using transfer learning approach
An iterative modelling approach for improving the performance of a pulsed electric field (PEF) treatment chamber
Fuzzy-logic based trend classification for fault diagnosis of chemical processes
Opportunistic policy for optimal preventive maintenance of a multi-component system in continuous operating units
An investigation of initialisation strategies for dynamic temperature optimisation in beer fermentation
Resilient supply chains - robustness and dynamics in the context of industrial gas supply chains
Machine learning aided model predictive control with multi-objective optimization and multi-criteria decision making
Optimal design of energy systems using constrained grey-box multi-objective optimization
Applications of process synthesis: Moving from conventional chemical processes towards biorefinery processes
Study of simulated annealing based algorithms for multiobjective optimization of a constrained problem
Reactor/separator processes with recycles-2. Design for composition control
Dynamic optimization of batch processes: I. Characterization of the nominal solution
Topological data analysis: Concepts, computation, and applications in chemical engineering
Dissipativity learning control (DLC): A framework of input-output data-driven control
Plantwide optimization coupled with column sequencing and stacking using a process simulator automation server
On the acceleration of global optimization algorithms by coupling cutting plane decomposition algorithms with machine learning and advanced data analytics
Transient averaging to combine large eddy simulation with Reynolds averaged Navier-Stokes simulations
From process control to supply chain management: An overview of integrated decision making strategies
The optimization of the kind and parameters of kernel function in KPCA for process monitoring
A two-stage stochastic MINLP model to design and operate a multi-energy microgrid by addressing carbon emission regulatory policies uncertainty
A process simulator interface for multiobjective optimization of chemical processes
Approximate multi-parametric programming based B&B algorithm for MINLPs
Application of continuation method and bifurcation for the acetylcholine neurocycle considering partial dissociation of acetic acid
Book Review: Advanced Optimization for Process Systems Engineering by Ignacio E. Grossmann (Cambridge University Press)
Integration of optimal cleaning scheduling and control of heat exchanger networks under fouling: MPCC solution
A semi-mechanistic model building framework based on selective and localized model extensions
Modeling sex differences in the renin angiotensin system and the efficacy of antihypertensive therapies
An analytical-numerical method for solving a heap leaching problem of one or more solid reactants from porous pellets
Physics-guided transfer learning for Bayesian optimization of chemical port-Hamiltonian systems
A novel approach for synthesis of cost-optimal heat exchanger networks
Recent advances in multiparametric nonlinear programming
Fault isolation using modified contribution plots
Synthesis of mass integration networks: Integrated approach to optimization of stream matching for a metal pickling process
Novel terminal region computation method for quasi-infinite horizon NMPC
Machine learning enabled multiscale model for nanoparticle margination and physiology based pharmacokinetics
Variance based sensitivity analysis and statistical optimization of design and operating parameters of spiral wound pervaporation modules for thiophene removal from FCC gasoline
Scalable preconditioning of block-structured linear algebra systems using ADMM
An order-specific clustering algorithm for the determination of representative demand curves
HybridML: Open source platform for hybrid modeling
Improved capacity estimation technique for the battery management systems of electric vehicles using the fixed-point iteration method
A systematic model-based analysis of a downer regenerator in fluid catalytic cracking processes
Oxidant control and air-oxy switching concepts for CFB furnace operation
The response to "the letter to editor" received from Dr Ivan Fort, with regards to our article given in
A simulation study on the effect of CO 2 injection on the performance of the GTL process
Adaptive gain sliding mode observer for state of charge estimation based on combined battery equivalent circuit model
Dynamics of batch protein precipitation
A scalable stochastic programming approach for the design of flexible systems
Optimal delivery of chemotherapeutic agents in cancer
Computation of effectiveness factors for partially wetted catalyst pellets using the method of fundamental solution
Surrogate modeling and optimization of the leaching process in a rare earth elements recovery plant
Automated structure detection for distributed process optimization
Dynamic modelling and simulation of a heated brine spray system
Rigorous simulation, energy and environmental analysis of an actual baseload LNG supply chain
A multi-paradigm modeling framework for energy systems simulation and analysis
Multi-objective optimization of phosphoric acid production unit, to minimize P2O5 losses
Model based hazard identification: Process time accelerated by GPU redesigning approach
Novel fluid grid and voidage calculation techniques for a discrete element model of a 3D cylindrical fluidized bed
Modeling and optimization of product design and portfolio management interface
Optimal sensor placement for contamination identification in water distribution system considering contamination probability variations
On improving the efficiency of modifier adaptation via directional information
Integrating solid direct air capture systems with green hydrogen production: Economic benefits and curtailment reduction
Parallel computing approaches to sensor network design using the value paradigm
Approximation algorithms for process systems engineering
A diffusion-attention-based algorithm for optimal spatio-temporal sensor placement in distributed parameter systems
In-line monitoring of the thickness distribution of adhesive layers in black textile laminates by hyperspectral imaging
A novel framework for the identification of complex feasible space
Optimal planning of oil and gas development projects considering long-term production and transmission
Comparison of methods for multivariate moment inversion - Introducing the independent component analysis
A distributed decision making system for integrated optimization of production scheduling and distribution for aluminum production line
Optimization of dimethyl ether production process based on sustainability criteria using a homotopy continuation method
On the use of reduced order models in bifurcation analysis of distributed parameter systems
Real-world implementation of offline reinforcement learning for process control in industrial dividing wall column
Optimization of hybrid systems
Graphical tools for routine assessment of industrial alarm systems
Fast and robust fault diagnosis for a class of nonlinear systems: detectability analysis
Simultaneous process optimization and heat integration based on rigorous process simulations
A hybrid clustering approach integrating first-principles knowledge with data for fault detection in HVAC systems
Modeling of the activated sludge process by using artificial neural networks with automated architecture screening
Optimal design and operation of an industrial three phase reactor for the oxidation of phenol
MINLP formulations for solving strip packing problems in LCD mother glass production
Soft-sensor estimation via parameter fitting and dynamic optimization in an experimental batch butadiene homopolymerization reactor
Optimal operation strategy of batch vacuum distillation for sulfuric acid recycling process
Demand response-oriented dynamic modeling and operational optimization of membrane-based chlor-alkali plants
Uncertainty back-propagation in PLS model inversion for design space determination in pharmaceutical product development
Space-time dynamics of electricity markets incentivize technology decentralization
Optimizing the design of global supply chains at Dow AgroSciences
Causality validation of multilevel flow modelling
A fairness-guided supply chain framework for polyester production from biomass
Distributed model predictive control: A tutorial review and future research directions
Systematic design of pulse dosing to eradicate persister bacteria: The case of fluoroquinolones
Optimal response under partial plant shutdown with discontinuous dynamic models
Evaluation of potassium chloride emissions applying the Discrete Particle Method (DPM)
Linear and neural network models for predicting N-glycosylation in Chinese Hamster Ovary cells based on B4GALT levels
The RAYMOND simulation package - Generating RAYpresentative MONitoring Data to design advanced process monitoring and control algorithms
Meta-study and environmental techno-economic assessments (eTEAs) of blue hydrogen processes
Model predictive control - Building a bridge between theory and practice
Integrated supply chain network design and superstructure optimization problem: A case study of microalgae biofuel supply chain
Development of a dynamic model of monoclonal antibody production and glycosylation for product quality monitoring
Integrated optimization model for CCS hubs and pipeline network design
A superstructure-based framework for bio-separation network synthesis
Large scale optimization of a sour water stripping plant using surrogate models
A novel deep graph learning-based multivariate clustering method for time series forecasting of complex chemical systems
Encrypted machine learning-based model predictive control architectures for nonlinear systems
Flexibility and environmental assessment of process-intensified design solutions: A DWC case study
Data-driven initialization of evolutionary methods for process synthesis considering centrality and diversity criteria
A parallel Attainable Region construction method suitable for implementation on a graphics processing unit (GPU)
Online dynamic optimization studies of autocatalytic esterification in the semi batch reactor for handling disturbance and uncertainty
Optimal design of integrated agricultural water networks
Graph neural networks with molecular segmentation for property prediction and structure-property relationship discovery
Robust extended Kalman filter estimation with moving window through a quadratic programming formulation
A simultaneous optimization approach for off-line blending and scheduling of oil-refinery operations
A dynamic-inner convolutional autoencoder for process monitoring
The effect of uncertainty on the optimal closed-loop supply chain planning under different partnerships structure
Process modelling, design and technoeconomic Liquid-Liquid Extraction (LLE) optimisation for comparative evaluation of batch vs. continuous pharmaceutical manufacturing of atropine
A hybrid genetic algorithm for efficient parameter estimation of large kinetic models
Multi-actor integrated modeling approaches in the context of Water-Energy-Food Nexus systems: Review
Heating, ventilation and air conditioning systems: Fault detection and isolation and safe parking
Discrete element simulation of liquid-particle flows
Identifying polymer structures for oral drug delivery - A molecular design approach
An alternate computational architecture for advanced process engineering