yusuke1997/dblp-id-title huggingface dataset:
Interactive NBI and (E)NNC methods for the progressive exploration of the criteria space in multi-objective optimization and optimal control
An outlook towards 2030: Optimization and design of a CCUS supply chain in Germany
Optimal sensor location and reduced order observer design for distributed process systems
Model based robust control approach for batch crystallization product design
Model based operation of emulsion polymerization reactors with evaporative cooling: Application to vinyl acetate homopolymerization
Multiperiod production planning and design of batch plants under uncertainty
Population balance model and experimental validation for reactive dissolution of particle agglomerates
On the robust application of stochastic optimisation technology for the synthesis of reaction/separation systems
A hybrid modeling approach to estimate liquid entrainment fraction and its uncertainty
Iteration-free cooperative distributed model predictive control through multiparametric programming
Multi-objective optimization of food-energy-water nexus via crops land allocation
Closed-loop robust steady-state target calculation for model predictive control
Automated quantitative model-based fault diagnosistic protocol via Assumption State Differences
Design methodology for bio-based processing: Biodiesel and fatty alcohol production
Compartmental modeling and analysis of the effect of β-amyloid on acetylcholine neurocycle via choline leakage hypothesis
A continuous-time formulation for scheduling crude oil operations in a terminal with a refinery pipeline
Multistage robust mixed-integer optimization for industrial demand response with interruptible load
Professor Christodoulos A. Floudas (1959-2016)
LDA-based deep transfer learning for fault diagnosis in industrial chemical processes
Optimization of naphtha purchase price using a price prediction model
Branch and bound method for regression-based controlled variable selection
Perspective on CPC VIII
On dealing with measured disturbances in the modifier adaptation method for real-time optimization
Dynamic optimization approach to coordinate industrial production and cogeneration operation under electricity price fluctuations
Analysis of decentralized integral controllability for nonlinear systems
Process control practice and education: Past, present and future
Decision support for integrated refinery supply chains: Part 1. Dynamic simulation
Strategic evaluation of different direct nucleation control approaches for controlling batch cooling crystallisation via simulation and experimental case studies
Estimation of exhaust steam enthalpy and steam wetness fraction for steam turbines based on data reconciliation with characteristic constraints
Support for modeling and monitoring of engineering design processes
Multi-objective optimization for the periodic operation of the naphtha pyrolysis process using a new parallel hybrid algorithm combining NSGA-II with SQP
A volatile fatty acids adaptive observer-based hierarchical optimal controller design to maximum gas production of two-stage anaerobic digestion process
SmartGantt - An interactive system for generating and updating rescheduling knowledge using relational abstractions
Optimization under uncertainty of a composite fabrication process using a deterministic one-stage approach
Sustainable scheduling of batch processes under economic and environmental criteria with MINLP models and algorithms
Digital twins in process engineering: An overview on computational and numerical methods
Systematic mesh development for 3D CFD simulation of fixed beds: Single sphere study
Heat exchanger networks retrofit with an extended superstructure model and a meta-heuristic solution approach
In situ adaptive tabulation (ISAT) for combustion chemistry in a network of perfectly stirred reactors (PSRs)
A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application
Metacontrol : A Python based application for self-optimizing control using metamodels
Time-series clustering approach for training data selection of a data-driven predictive model: Application to an industrial bio 2, 3-butanediol distillation process
Optimal design and planning of biodiesel supply chain with land competition
A just-in-time modeling approach for multimode soft sensor based on Gaussian mixture variational autoencoder
Toward a low cost and high performance MPC: The role of system identification
A two-layered optimisation-based control strategy for multi-echelon supply chain networks
Optimal operation of RO system with daily variation of freshwater demand and seawater temperature
Predictive compensation for variable network delays and packet losses in networked control systems
Identifiability methods for biological systems: Determining subsets of parameters through sensitivity analysis, penalty-based optimisation, profile likelihood and LASSO model reduction
Scheduling multi-product tree-structure pipelines
Predictive models and operation guidance system for iron ore pellet induration in traveling grate-rotary kiln process
Synthesis of large-scale heat exchanger networks using a sequential match reduction approach
Design of enhanced two-dimensional self-optimizing control system for batch process
Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells
Multiscale modeling and control of pulp digester under fiber-to-fiber heterogeneity
Numerical investigation of wall heat conduction effects on catalytic combustion in split and continuous monolith tubes
Theoretical framework for formulating MIP scheduling models with multiple and non-uniform discrete-time grids
Application of ANN and EA for description of metal ions sorption on chitosan foamed structure - Equilibrium and dynamics of packed column
Using surrogate models for efficient optimization of simulated moving bed chromatography
A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development
Optimizing the design of eccentric feed hoppers for tablet presses using DEM
Off-line image analysis for froth flotation of coal
Stochastic simulation of protein expression in the baculovirus/insect cells system
Near-optimal operation by self-optimizing control: from process control to marathon running and business systems
Education for sustainability: Developing a taxonomy of the key principles for sustainable process and product design
Treating free variables in generalized geometric programming problems
Multi-objective optimization of industrial waste management in chemical sites coupled with heat integration issues
Simulation of washing of packed bed of porous particles by orthogonal collocation on finite elements
Genetic algorithm development for multi-objective optimization of batch free-radical polymerization reactors
Simulation-assisted design of a distillation train with simultaneous column and sequence optimization
Financial risk management in the design of products under uncertainty
Adaptive multigrid solution strategy for the dynamic simulation of petroleum mixture processes
Multi-criteria decision-making and multi-objective optimization of a sustainable bio-based isopropanol supply chain
Evolutionary algorithm for de novo molecular design with multi-dimensional constraints
Reprint of: A scheduling perspective on the monetary value of improving process control
Advancing algal biofuel production through data-driven insights: A comprehensive review of machine learning applications
Control of a nonlinear continuous bioreactor with bifurcation by a type-2 fuzzy logic controller
Two-stage chance-constrained programming based on Gaussian mixture model and piecewise linear decision rule for refinery optimization
A multi-level programming for shale gas-water supply chains accounting for tradeoffs between economic and environmental concerns
Centralised utility system planning for a Total Site Heat Integration network
On minimal representation of heterogeneous mass transfer for simulation and parameter estimation: Application to breakthrough curves exploitation
An extended P-graph approach to process network synthesis for multi-period operations
Real-time adaptive input design for the determination of competitive adsorption isotherms in liquid chromatography
Heuristic solution approaches to the pharmaceutical R&D pipeline management problem
An approach for simultaneous computer-aided molecular design with holistic sustainability assessment: Application to phase-change CO 2 capture solvents
Dynamic control analysis of eco-efficient double side-stream ternary extractive distillation process
Comparison of optimization methods for the design and control of reactive distillation with inter condensers
Dynamic modeling and control of yeast cell populations in continuous biochemical reactors
Scheduling-based method for estimating remaining capacity of oil product pipeline under the fair opening
Machine learning algorithm for clustering of heart disease and chemoinformatics datasets
Toward understandable semi-supervised learning fault diagnosis of chemical processes based on long short-term memory ladder autoencoder (LSTM-LAE) and self-attention (SA)
Investment portfolios under uncertainty for utilizing natural gas resources
Efficient optimization-based design for the separation of heterogeneous azeotropic mixtures
Development of machine learning algorithms for predicting internal corrosion of crude oil and natural gas pipelines
Spectral Graph Theoretic analysis of process systems: an application to distillation columns
The role of process engineering in the digital transformation
Environ-economic analysis of conceptual intensification alternatives applied to the ethylbenzene production
Neural network inverse model-based controller for the control of a steel pickling process
ElChemo: A cross-domain interoperability between chemical and electrical systems in a plant
A multicut generalized benders decomposition approach for the integration of process operations and dynamic optimization for continuous systems
Detecting flooding state in extraction columns: Convolutional neural networks vs. a white-box approach for image-based soft sensor development
Process control of a dropwise additive manufacturing system for pharmaceuticals using polynomial chaos expansion based surrogate model
Techno-economic evaluation of an ultrasound-assisted Enzymatic Reactive Distillation process
Product sampling during transient continuous countercurrent hydrolysis of canola oil and development of a kinetic model
C2 and C+ compound production from carbon dioxide: supply chain design and optimization
Industrial, large-scale model predictive control with structured neural networks
Semi-supervised process fault classification based on convolutional ladder network with local and global feature fusion
Robust probabilistic principal component analysis for process modeling subject to scaled mixture Gaussian noise
Real-time synchronization with expected distribution of synchronized index for on-line monitoring of uneven multiphase batch process
Deep reinforcement learning control of hydraulic fracturing
Simulation of a plant scale reactive distillation column for esterification of acetic acid
Mathematical modelling of the pre-oxidation of a uranium carbide fuel pellet
Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste
An efficient hierarchical market-like coordination algorithm for coupled production systems based on quadratic approximation
A systems-based approach to multiscale computation: Equation-free detection of coarse-grained bifurcations
Design optimization of oilfield subsea infrastructures with manifold placement and pipeline layout
Oil production optimization - A piecewise linear model, solved with two decomposition strategies
A review on superstructure optimization approaches in process system engineering
Designing reactive distillation processes: present and future
Quasi-weighted least squares estimator for data reconciliation
A stoichiometric method for reducing simulation cost of chemical kinetic models
A Novel Approach for Linearization of a MINLP Stage-Wise Superstructure Formulation
Global analysis of combined reaction distillation processes
Heat exchanger network design using geometric mean temperature difference
Water desalination by forward osmosis: Dynamic performance assessment and experimental validation using MgCl 2 and NaCl as draw solutes
Supply-based superstructure synthesis of heat and mass exchange networks
Special issue editorial: Selected contributions from foundations of computer aided process design (FOCAPD) 2024
Adaptive extremum-seeking control of convection-reaction distributed reactor with limited actuation
Novel feasible path optimisation algorithms using steady-state and/or pseudo-transient simulations
Steady state identification for on-line data reconciliation based on wavelet transform and filtering
Coupled population balance-CFD simulation of droplet breakup in a high pressure homogenizer
Data-driven strategies for optimization of integrated chemical plants
A retrospective on design and process synthesis
Hierarchical heat transfer modeling of a continuous millireactor
Dynamic modelling of the absorber of a post-combustion CO 2 capture plant: Modelling and simulations
A CFD based automatic method for compartment model development
Decentralized Decision System for Closed-Loop Supply Chain: A Bi-Level Multi-Objective Risk-Based Robust Optimization Approach
Optimal Membrane-Process Design (OMPD): A software product for optimal design of membrane gas separation processes
Smart process analytics for predictive modeling
Analysis of finite difference discretization schemes for diffusion in spheres with variable diffusivity
Systems and control challenges in photovoltaic manufacturing processes: A modeling strategy for passivation and antireflection films
A framework for work process modeling in the chemical industries
Multi-scale optimization for process systems engineering
Development of a multi-compartment population balance model for high-shear wet granulation with discrete element method
Techno-economic and life cycle analysis of different types of hydrolysis process for the production of p-Xylene
Towards the really optimal design of distillation systems: Simultaneous pressures optimization of distillation systems based on rigorous models
Reconciling continuum and non-continuum data with industrial application
Development of inferential sensor and real-time optimizer for a vacuum distillation unit by recurrent neural network modeling of time series data
Direct coupling of continuum and kinetic Monte Carlo models for multiscale simulation of electrochemical systems
Simulation and optimization of polymer molecular weight distribution with nonideal reactors
A grid-scale study of demand bidding by large industrial users
Molecular characterisation of biomass pyrolysis oil and petroleum fraction blends
Phenotype phase plane analysis using interior point methods
Probabilistic assessment and automatic detection of oscillations in industrial control loops
Reinforcement learning-based autonomous control of bench-scale primary separation vessel
Using Pareto filters to support risk management in optimization under uncertainty: Application to the strategic planning of chemical supply chains
Arbitrage equilibria in active matter systems
Multi-objective optimisation using surrogate models for the design of VPSA systems
An algorithm for gradient-based dynamic optimization of UV flash processes
A comprehensive methodology to screen metal-organic frameworks towards sustainable photofixation of nitrogen
Efficient formulations for dynamic warehouse location under discrete transportation costs
Integrated scheduling of vessel dispatching and port operations in the closed-loop shipping system for transporting petrochemicals
A methodology for building a data-enclosing tunnel for automated online-feedback in simulator Training
The inherent robustness of closed-loop scheduling
A branch-and-bound algorithm for the continuous facility layout problem
A functional HAZOP methodology
Classification and optimization of potentially runaway processes using topology tools
pH-neutralization: integrated process and control design
GMC-fuzzy control of pH during enzymatic hydrolysis of cheese whey proteins
Lexicographic model predictive control strategy in ageing-aware optimal charging procedure for lithium-ion batteries
Assessing the production of first and second generation bioethanol from sugarcane through the integration of global optimization and process detailed modeling
Genetic algorithm for the optimization of rubber insulated high voltage power cables production lines
A heuristic-based algebraic targeting technique for aggregate planning in supply chains
Time optimal cyclic crystallization
DNA computing based RNA genetic algorithm with applications in parameter estimation of chemical engineering processes
Risk-based fault prediction of chemical processes using operable adaptive sparse identification of systems (OASIS)
A virtual prototyping environment for a robust design of an injection moulding process
A new method for prediction of absorption/stripping factors
Non-myopic Bayesian optimization using model-free reinforcement learning and its application to optimization in electrochemistry
An efficient method for optimal design of large-scale integrated chemical production sites with endogenous uncertainty
A model-based rescheduling framework for managing abnormal supply chain events
A synchronous cellular automaton model of mass transport in porous media
Lagrangean-based techniques for the supply chain management of flexible process networks
Simulation of forward osmosis and pressure retarded osmosis membrane performance: Effect of TiO 2 nanoparticles loading on the semi-permeable membrane
Data intelligence for process performance prediction in biologics manufacturing
Corrigendum to "An efficient simultaneous correction procedure for multicomponent, multistage separation calculations for non-ideal systems": [Computers and Chemical Engineering 25 (2001) 1285-1298]
Indirect neural control for plant-wide systems: Application to the Tennessee Eastman Challenge Process
ProdaMatch: A fast and accurate active site matching algorithm for de novo enzyme design
Global optimization for scheduling refinery crude oil operations
From automated to autonomous process operations
Determination of biogeochemical parameters in eutrophication models with simultaneous dynamic optimization approaches
Data-driven prediction of the product formation in industrial 2-keto-l-gulonic acid fermentation
Nonlinear model predictive control of an industrial process with steady-state gain inversion
Canonical duality theory: Unified understanding and generalized solution for global optimization problems
Modeling and simulation of a pseudo-three-phase slurry bubble column reactor applied to the process of petroleum hydrodesulfurization
On process intensification through storage reactors: A case study on methane steam reforming
Safe chance constrained reinforcement learning for batch process control
In situ adaptive tabulation (ISAT) for combustion chemistry in a network of perfectly stirred reactors (PSRs) for the investigation of soot formation and growth
Towards the modelling and control of NOx emission in a fluidized bed sludge combustor
A chance-constrained programming approach for a zinc hydrometallurgy blending problem under uncertainty
Challenges in data-based reactor modeling: A critical analysis of purely data-driven and hybrid models for a CSTR case study
General optimization strategy of simulated moving bed units through design of experiments and response surface methodologies
Rigorous formulation for the scheduling of reversible-flow multiproduct pipelines
Process operational safety using model predictive control based on a process Safeness Index
A linearization method for probability moment equations
Jaynes machine: The universal microstructure of deep neural networks
Data-driven supply chain monitoring using canonical variate analysis
Surrogate-assisted modeling and optimization of a natural-gas liquefaction plant
Simulations of an ASA flow crystallizer with a coupled stochastic-deterministic approach
Nonlinear model predictive control of fed-batch cultures of micro-organisms exhibiting overflow metabolism: Assessment and robustness
Physics-informed neural networks with hard linear equality constraints
Pipeline pressure drop modeling and compression power minimization for nonideal, compressible, gas mixture flows with application to pipeline flow of natural gas-hydrogen blends
A deterministic algorithm for the synthesis of maximum energy recovery heat exchanger network
Data-driven multi-stage scenario tree generation via statistical property and distribution matching
A multiparametric CFD analysis of multiphase annular flows for oil and gas drilling applications
Kaibel column: Modeling, optimization, and conceptual design of multi-product dividing wall columns
A multi-compartment population balance model for high shear granulation
An efficient polynomial chaos expansion strategy for active fault identification of chemical processes
Spatially explicit multi-objective optimisation for design and planning of hybrid first and second generation biorefineries
Optimal design of sustainable water systems for cities involving future projections
A robust disjunctive formulation for the redesign of forest biomass-based fuels supply chain under multiple factors of uncertainty
Optimisation of regional energy supply chains utilising renewables: P-graph approach
Dynamic modelling of an adsorption storage tank using a hybrid approach combining computational fluid dynamics and process simulation
An incremental approach using local-search heuristic for inventory routing problem in industrial gases
Financial arbitrage in electricity markets via virtual bidding
Simultaneous chemical process synthesis and heat integration with unclassified hot/cold process streams
Assessment and comparison of distributed model predictive control schemes: Application to a natural gas refrigeration plant
Cumulative residual Kullback-Leibler divergence based sensor placement using reliability criteria
Accelerating optimization and uncertainty quantification of nonlinear SMB chromatography using reduced-order models
An industrial case study on the combined identification and offset-free control of a chemical process
Flooding and offset-free nonlinear model predictive control of a high-purity industrial ethylene splitter using a hybrid model
Integrating a multigeneration system into a biogas-fueled gas turbine power plant for CO2 emission reduction: An efficient design and exergy-economic assessment
Numerical construction of HEN composite curves and their attributes
Self-adaptive differential evolution with a novel adaptation technique and its application to optimize ES-SAGD recovery process
A model-centric approach for the management of model evolution in chemical process modelling
Optimal operation of heat exchanger networks with stream split: Only temperature measurements are required
A powerful estimation scheme with the error-in-variables-model for nonlinear cases: Reactivity ratio estimation examples
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
Multi-objectives, multi-period optimization of district energy systems: II - Daily thermal storage
Multi-stage model predictive control for slug flow crystallizers using uncertainty-aware surrogate models
On the application of model reduction to plantwide control
Classification of process dynamics with Monte Carlo singular spectrum analysis
Harvest time prediction for batch processes
Fast Bayesian filtering for wastewater treatment plants with inaccurate process noise statistics
Multimode process monitoring based on fault dependent variable selection and moving window-negative log likelihood probability
A virtual finite element model for centered and eccentric mixer configurations
Optimal control in chemical engineering: Past, present and future
Multivariate characterization, modeling, and design of ionic liquid molecules