yusuke1997/dblp-id-title huggingface dataset:
Enhancing fault detection in multivariate industrial processes: Kolmogorov-Smirnov non-parametric statistical approach
Multi-objective optimization under parametric uncertainty: A Pareto ellipsoids-based algorithm
State-space-guided neural networks for fault detection
Data-based design of inferential sensors for petrochemical industry
Deep learning and knowledge-based methods for computer-aided molecular design - toward a unified approach: State-of-the-art and future directions
A mixed integer optimization formulation for the well scheduling problem on petroleum fields
A novel adaptive generic model control strategy for internal thermally coupled air separation columns with multivariable recursive estimation
A novel fault detection and diagnosis approach based on orthogonal autoencoders
Non-equilibrium stage modeling and non-linear dynamic effects in the synthesis of TAME by reactive distillation
A spatial superstructure approach to the optimal design of modular processes and supply chains
An observer for partially obstructed wood particles in industrial drying processes
Iterative EKF as a controller in novel MPC formulation: First principles model based IEKF-MPC for SISO systems
A process systems engineering view of environmental impact assessment in renewable and sustainable energy production: Status and perspectives
Methodology for solar and wind energy chemical storage facilities design under uncertainty: Methanol production from CO 2 and hydrogen
Optimal search methods for selecting distributed species in Gillespie-based kinetic Monte Carlo
Process monitoring and dynamic fusion of complex industrial systems: A reconstruction-based Bayesian framework
Aeration control of a wastewater treatment plant using hybrid NMPC
Solid oxide fuel cell reactor analysis and optimisation through a novel multi-scale modelling strategy
A hybrid game theory and system dynamics model to determine optimal electricity generation mix
Robust integrated production-maintenance scheduling for an evaporation network
Combining the advantages of discrete- and continuous-time scheduling models: Part 2. systematic methods for determining model parameters
A diagnostic procedure for improving the structure of approximated kinetic models
Reinforcement learning for the optimization and online control of emulsion polymerization reactors: Particle morphology
Hyperplane decision trees as piecewise linear surrogate models for chemical process design
Interactive CFD simulations with virtual reality to support learning in mixing
Challenges and opportunities in enterprise-wide optimization in the pharmaceutical industry
A synchronous data-driven hybrid framework for optimizing hydrotreating units and hydrogen networks under uncertainty
On-line adaptive Bayesian classification for in-line particle image monitoring in polymer film manufacturing
Combining prior knowledge with data driven modeling of a batch distillation column including start-up
Enhancing pharmaceutical supply chain resilience: A multi-objective study with disruption management
An iterative constrained least squares method for continuous piecewise linear approximation
Another confirmation that counter-current logarithmic mean is upper bound and a note on approximations
Bounding convex relaxations of process models from below by tractable black-box sampling
Design and control of distillation processes for methanol-chloroform separation
On-line batch process monitoring using a consecutively updated multiway principal component analysis model
On-line computing of PI/lead compensators for industry processes with gain and phase specifications
Numerical approximation of nonlinear and non-equilibrium two-dimensional model of chromatography
Towards computer-aided multiscale modelling: An overarching methodology and support of conceptual modelling
Corrigendum to 'Development of a digital twin for a flexible air separation unit using a pressure-driven simulation approach' Computers & Chemical Engineering Volume 151 (2021) 107349
Economic optimization in transient processes for model predictive control with a dynamic reference trajectory
Copula-based approximation of particle breakage as link between DEM and PBM
Optimization strategies for chiral separation by true moving bed chromatography using Particles Swarm Optimization (PSO) and new Parallel PSO variant
Erratum to "Forty years of computers & chemical engineering: A bibliometric analysis" [Computers & Chemical Engineering 141 (2020) 106978]
Towards zero CO 2 emissions in the production of methanol from switchgrass. CO 2 to methanol
Analysis of linear programming in model predictive control
Ziegler and Nichols meet Kermack and McKendrick: Parsimony in dynamic models for epidemiology
Formulating the optimization problem when using sequential quadratic programming applied to a simple LNG process
Analysis of reactions during the residue desulfurization of heavy oil based on a data-driven method
Advances in mathematical programming models for enterprise-wide optimization
Global optimization in the 21st century: Advances and challenges
An adaptive discretization MINLP algorithm for optimal synthesis of decentralized energy supply systems
Modeling of reactive batch distillation processes for control
Comparative analysis of conventional steam methane reforming and PdAu membrane reactor for the hydrogen production
A practically implementable reinforcement learning control approach by leveraging offset-free model predictive control
Rigorous model-based safety analysis for nonlinear continuous-time systems
Economic Nonlinear Model Predictive Control for periodic optimal operation of gas pipeline networks
Life cycle aggregated sustainability index for the prioritization of industrial systems under data uncertainties
Model-based fault detection algorithm for liquid hydrogen refueling system using CUSUM method
Design and implementation of a next-generation software interface for on-the-fly quantum and force field calculations in automated reaction mechanism generation
Parameter-dependent linear matrix inequality approach to robust state estimation of noisy genetic networks
Two-dimensional reinforcement learning model-free fault-tolerant control for batch processes against multi- faults
Optimal Laypunov exponent parameters for stability analysis of batch reactors with Model Predictive Control
Constrained model-free reinforcement learning for process optimization
Optimal scheduling of oxygen system in steel enterprises considering uncertain demand by decreasing pipeline network pressure fluctuation
Application of dispersion algorithms to supply chain optimisation
Designing a resilient medical laboratory service network under disruption and uncertainty: A case study
On-line monitoring of a sugar crystallization process
An online method to remove chattering and repeating alarms based on alarm durations and intervals
Novel Control-Oriented Models for Liquid Transport in Falling Film Evaporator Tubes
Stochastic optimization for strategic planning of efficient and sustainable hydrogen supply chain networks under demand uncertainty
Predicting handsheet properties and enhancing refiner control using fiber analyzer data and latent variable modeling
Simultaneous state and parameter estimation method for a conventional ozonation system
Modeling induced nucleation processes during batch cooling crystallization: A sequential parameter determination procedure
Integrated spatially explicit landscape and cellulosic biofuel supply chain optimization under biomass yield uncertainty
Computer algebra systems coming of age: Dynamic simulation and optimization of DAE systems in Mathematica™
Solution of the population balance equation using parallel adaptive cubature on GPUs
Economic MPC and real-time decision making with application to large-scale HVAC energy systems
Black box operation optimization of basic oxygen furnace steelmaking process with derivative free optimization algorithm
An improvement scheme for pressure-swing distillation with and without heat integration through an intermediate connection to achieve energy savings
Multi-criteria design of shale-gas-water supply chains and production systems towards optimal life cycle economics and greenhouse gas emissions under uncertainty
A pattern based strategy for using multidimensional sensors in process control
Optimal control of a laboratory binary distillation column via regionless explicit MPC
Energy efficient control of a BTX dividing-wall column
Simultaneous integration of heat pumps and different thermal energy storages into a tightened multi-period MILP HENS superstructure formulation for industrial applications
CProS: A web-based application for chemical production scheduling
New approaches for representing, analyzing and visualizing complex kinetic transformations
Efficient implementation of step response models for embedded Model Predictive Control
On the improvement of performance of bioreactors through periodic forcing
Sensitivity-based scenario selection for multi-stage MPC along principal components
Parameter estimation and sensitivity analysis for dynamic modelling and simulation of beer fermentation
Hybrid machine learning assisted modelling framework for particle processes
Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses
Design space identification of a coupled two-stage batch reactor system
Dissipativity analysis for networks of process systems
Global optimization of water networks design using multiparametric disaggregation
A new algorithm for global optimization: Molecular-Inspired Parallel Tempering
Model reformulations for Work and Heat Exchange Network (WHEN) synthesis problems
Artificial Neural Network control of thermoelectrically-cooled microfluidics using computer vision based on IR thermography
Supercritical fluid recycle for surge control of CO 2 centrifugal compressors
Conceptual design of a lignocellulosic biorefinery and its supply chain for ethanol production in India
Resilient design of biomass to energy system considering uncertainty in biomass supply
An optimization framework for renewable liquefied gas supply chain: A case study on glycerol-based production
Nonlinear multi-rate current state estimation: convergence analysis and application to biological systems
A multi-objective optimization model for gas pipeline operations
Multi-objective optimization of multi-echelon supply chain networks with uncertain product demands and prices
A computer aided optimal inventory selection system for continuous quality improvement in drug product manufacture
Pressure swing batch distillation by double column systems in closed mode
A dynamic programming based approach for explicit model predictive control of hybrid systems
Retrospective on optimization
Optimal design of integrated urban energy systems under uncertainty and sustainability requirements
A new pot still distillation model approach with parameter estimation by multi-objective optimization
A general modular framework for the integrated optimal management of an industrial gases supply-chain and its production systems
Incremental single shooting - A robust method for the estimation of parameters in dynamical systems
Online data condensation for digitalised biopharmaceutical processes
Numerical investigation on thermal-hydraulic performance of helical-coiled tube air cooler used for underground mine
A tutorial review of neural network modeling approaches for model predictive control
Product design: Impact of government policy and consumer preference on company profit and corporate social responsibility
Thermodynamic interpolation for the simulation of two-phase flow of non-ideal mixtures
Long-term turnaround planning for integrated chemical sites
Solution of population balance equations by logarithmic shape preserving interpolation on finite elements
Combining the advantages of discrete- and continuous-time scheduling models: Part 3. General algorithm
An estimation study for control of a lattice model of thin film deposition
Novel MINLP formulations for flexibility analysis for measured and unmeasured uncertain parameters
Synthesis and design of new hybrid configurations for biobutanol purification
Process intensification and process systems engineering: A friendly symbiosis
Use of the Weibull equation to approximate diffusive release from particles in a closed system
Improved energy graph-based visualisation fault detection and isolation - A spectral theorem approach
Primal-dual differential dynamic programming: A model-based reinforcement learning for constrained dynamic optimization
Agent-based control of distributed electricity generation with micro combined heat and power - Cross-sectoral learning for process and infrastructure engineers
Optimization of helium extraction processes integrated with nitrogen removal units: A comparative study
Reliable computation of equilibrium states and bifurcations in ecological systems analysis
Multiperiod optimization for the design and planning of multiproduct batch plants
Numerical modelling and validation of gas-particle flow in an in-line tube bank
Bioreactor-based fuel systems. I: Optimal production capacity considering start-up dynamics
A hybrid method for online monitoring of internals performance in distillation columns
Non-standard finite-differences schemes for reaction-diffusion equations in curvilinear coordinates
Reduced order modeling and dynamic optimization of multiscale PDE/kMC process systems
Performance monitoring of chemical plant field operators through eye gaze tracking
Simulation of population dynamics using continuous-time finite-state Markov chains
Multi-objective steady state optimization of biochemical reaction networks using a constrained genetic algorithm
Dissolved oxygen control of the activated sludge wastewater treatment process using stable adaptive fuzzy control
Computational Fluid Dynamics modeling of micromixing performance in presence of microparticles in a tubular sonoreactor
Integrated optimization model for hydrogen supply chain network design and hydrogen fueling station planning
Composting time minimization of mature vermicompost using desirability and response surface methodology approach
A modified iterative IOM approach for optimization of biochemical systems
Model order reduction of parametrized nonlinear reaction-diffusion systems
Erratum to "Editorial note - Best paper of 2003" [Computers and Chemical Engineering 29 (8) (2005) 1697-1698]
Decentralized plantwide control strategy for large-scale processes. Case study: Pulp mill benchmark problem
A mixed-integer programming formulation for the general capacitated lot-sizing problem
Generate Pareto optimal solutions of scheduling problems using normal boundary intersection technique
Modeling of pervaporation processes controlled by concentration polarization
Neural modelling of Mooney viscosity of polybutadiene rubber
Scheduling of a single-source multiproduct pipeline system by a matheuristic approach: Combining simulated annealing and MILP
A new neural network for convex quadratic minimax problems with box and equality constraints
Rule-based intelligent monitoring and control of marc brandy stills
A piecewise relaxation for quadratically constrained problems based on a mixed-radix numeral system
A methodology for the simultaneous design and control of large-scale systems under process parameter uncertainty
A non-uniform grid approach for scheduling considering electricity load tracking and future load prediction
Chromatography Analysis and Design Toolkit (CADET)
Analytical identification of process design spaces using R-functions
Deeppipe: a customized generative model for estimations of liquid pipeline leakage parameters
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems
Optimal scheduling of a large-scale power-to-ammonia process: Effects of parameter optimization on the indirect demand response potential
Production rescheduling via explorative reinforcement learning while considering nervousness
Smart grid technologies and applications for the industrial sector
Graph representation and decomposition of ODE/hyperbolic PDE systems
A large-scale statistical process control approach for the monitoring of electronic devices assemblage
Optimal site selection for modular nuclear power plants
Dynamic modelling of Kühni liquid extraction columns using the sectional quadrature method of moments (SQMOM)
Determination of the optimal operating conditions of the dual mixed refrigerant cycle for the LNG FPSO topside liquefaction process
Identification of integrating and unstable processes from relay feedback
Grey and neural network prediction of suspended solids and chemical oxygen demand in hospital wastewater treatment plant effluent
Numerical simulation of natural convection and boil-off in a small size pressurized LNG storage tank
Estimation and control of solid oxide fuel cell system
Analysis of an industrial adsorption process based on ammonia chemisorption: Modeling and simulation
Prediction of isothermal crystallization parameters in monomer cast nylon 6
Simultaneous subtour elimination model for single-stage multiproduct parallel batch scheduling with sequence dependent changeovers
An iterative method for model parameter identification: 1. Incorrect problem
Chemical Product Engineering - The third paradigm
A multi-objective mathematical model to redesign of global sustainable bioenergy supply network
Control structure design for the ammonia synthesis process
Real-time inversion in large-scale water networks using discrete measurements
Real option theory from finance to batch distillation
An Effective Numerical Procedure for Evaluating Flexibility Indices of Dynamic Systems with Piecewise Constant Manipulated Variables
Modified Adomian Decomposition Method and computer implementation for solving singular boundary value problems arising in various physical problems
Biomedical systems research - New perspectives opened by quantitative medical imaging
Model-based reinforcement learning and predictive control for two-stage optimal control of fed-batch bioreactor
Performance evaluation of multi-stage reverse osmosis process with permeate and retentate recycling strategy for the removal of chlorophenol from wastewater
Adaptive monitoring of the process operation based on symbolic episode representation and hidden Markov models with application toward an oil sand primary separation
Optimal design of heat and water recovery system utilizing waste flue gases for refinery CO 2 reduction
CACE Special Issue of ESCAPE-21
Challenges and opportunities in biopharmaceutical manufacturing control
Iterative optimization of the economic efficiency of an industrial process within the validity area of the static plant model and its application to a Pulp Mill
Fault detection and identification for uncertain linear time-delay systems
Studies on the effect of non-isothermal mixing on water-using network's energy performance
Determination of the optimal heat energy targets in heat pinch analysis using a geometry-based approach
Control-oriented modeling of direct-heat co-current rotary dryers for energy demand flexibility
Benders decomposition with integer sub-problem applied to pipeline scheduling problem under flow rate uncertainty
Free-radical polymerization at higher temperatures: Systems impacts of secondary reactions
Grass-roots design of regeneration recycling water networks
Development of process safety knowledge graph: A Case study on delayed coking process
Numerical simulation of mass transfer in a liquid-liquid membrane contactor for laminar flow conditions
Mathematical programs with equilibrium constraints (MPECs) in process engineering
An SKU decomposition algorithm for the tactical planning in the FMCG industry
Novel separation system design using "moving triangles"
Improved initialization of players in leapfrogging optimization
A Systematic Method for Reaction Invariants and Mole Balances for Complex Chemistries: S.B. Gadewar, M.F. Doherty, M.F. Malone
Optimal processing pathway selection for microalgae-based biorefinery under uncertainty
Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones?
Wastewater minimization under uncertain operational conditions
On electrical load tracking scheduling for a steel plant
Multiobjective dynamic optimization of a semi-batch epoxy polymerization process
Learning from fluorescence: A tool for online multiparameter monitoring of a microalgae culture
Optimal resource investment and scheduling of tests for new product development
A generic methodology for processing route synthesis and design based on superstructure optimization
A comprehensive constraint programming approach for the rolling horizon-based scheduling of automated wet-etch stations
Reconstruction of a distribution from a finite number of its moments: A comparative study in the case of depolymerization process
Optimal temperature control in a batch polymerization reactor using fuzzy-relational models-dynamics matrix control
Assessing the inherent atmospheric environmental friendliness of chemical process routes: An unsteady state distribution approach for a catastrophic release
An integrated strategy for the hierarchical multilevel MINLP synthesis of overall process flowsheets using the combined synthesis/analysis approach
A location-inventory-pricing model in a closed loop supply chain network with correlated demands and shortages under a periodic review system
Early prediction of lithium-ion battery life using a hybrid deep neural network and ensemble learning approach
Machine learning-based modeling and operation of plasma-enhanced atomic layer deposition of hafnium oxide thin films
Wastewater minimisation using central reusable water storage in batch plants
A geometrically based grid refinement technique for multiphase flows
Data-driven robust optimization under correlated uncertainty: A case study of production scheduling in ethylene plant
Automated reaction generation for polymer networks
Application of a plant-wide control design to the HDA process
Systematic methods and tools for design of sustainable chemical processes for CO 2 utilization
Optimal design of closed-loop supply chain networks with multifunctional nodes
Simulation-based techno-economic and environmental evaluation of synthetic natural gas production integrated with sugarcane processing
Control invariant set enhanced safe reinforcement learning: Improved sampling efficiency, guaranteed stability and robustness
Uncertainties in parameter estimation and optimal control in batch distillation
Optimization of CO 2 capture process with aqueous amines using response surface methodology
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model
Life cycle analysis of coal based methanol-to-olefins processes in China
A bio-inspired algorithm based on membrane computing and its application to gasoline blending scheduling
Erratum to "Impact of tactical and operational policies in the selection of a new product portfolio" [Comput. Chem. Engineering 32 (2008) 307-819]
A novel exact formulation for parallel machine scheduling problems
Introduction of a nonlinearity measure for principal component models
A model-based characterization of the long-term asymptotic behavior of nonlinear discrete-time processes using invariance functional equations
A data segmentation and chronological nomenclature preprocessing approach for power system modeling
Understanding chemical production processes by using PLS path model parameters as soft sensors
Targeting optimum resource allocation using reverse problem formulations and property clustering techniques
A hybrid deterministic-stochastic algorithm for the optimal design of process flowsheets with ordered discrete decisions
Direct simulations of spherical particle motion in Bingham liquids
A mixed uncertainty approach to design a bioenergy network considering sustainability and efficiency measures
Attention-mechanism based DiPLS-LSTM and its application in industrial process time series big data prediction
Kinetic Monte Carlo modeling of the equilibrium-based size control of CsPbBr 3 perovskite quantum dots in strongly confined regime
Scaled steady state models for effective on-line applications