yusuke1997/dblp-id-title huggingface dataset:
MINLP-based Analytic Hierarchy Process to simplify multi-objective problems: Application to the design of biofuels supply chains using on field surveys
Assessment of the potentials of implicit integration method in discrete element modelling of granular matter
Combined mass and energy integration in process design at the example of membrane-based gas separation systems
Addressing the challenges of multiscale model management in systems biology
Development and implementation of supply chain optimization framework for CO 2 capture and storage in the Netherlands
Multi-objective optimization of SNG production from microalgae through hydrothermal gasification
Chromatographic studies of n-Propyl Propionate, Part II: Synthesis in a fixed bed adsorptive reactor, modelling and uncertainties determination
Automatically optimizing dynamic synchronization of individual industrial process variables for statistical modelling
An alternative disjunctive optimization model for heat integration with variable temperatures
Mechanochemical co-crystallization: Insights and predictions
Three dimensional discrete element models for simulating the filling and emptying of silos: Analysis of numerical results
Comparison of heterogeneous azeotropic distillation and extractive distillation methods for ternary azeotrope ethanol/toluene/water separation
An environmental optimization model to configure a hybrid forward and reverse supply chain network under uncertainty
Review, extensions and computational comparison of MILP formulations for scheduling of batch processes
Approximate dynamic programming based approach to process control and scheduling
Optimization and control of crystal shape and size in protein crystallization process
A practical method for maintaining the validity of hybrid AI process models without retraining
Practical control performance assessment method using Hurst exponents and crossover phenomena
A multi-objective robust optimization scheme for reducing optimization performance deterioration caused by fluctuation of decision parameters in chemical processes
A Goal Programming Model to Design a Sustainable Microalgae Biofuel Supply Chain with Emerging on Technology Assessment
A MILP-based column generation strategy for managing large-scale maritime distribution problems
Signal transduction and regulation in bacteria
Design of optimal patient-specific chemotherapy protocols for the treatment of acute myeloid leukemia (AML)
An MPC-based control structure selection approach for simultaneous process and control design
A practical Reinforcement Learning implementation approach for continuous process control
Sample average approximation methods for stochastic MINLPs
From partial data to out-of-sample parameter and observation estimation with diffusion maps and geometric harmonics
Decomposition approaches for the efficient solution of short-term scheduling problems
A space-averaged model for hollow fibre membranes filters
Adaptive fault detection via machine unlearning
LEAPS2: Learning based Evolutionary Assistive Paradigm for Surrogate Selection
Thermal-hydraulic simulation of a radiant steam boiler using Relap5 computer code
Comparison of techniques for reconstruction of a distribution from moments in the context of a pharmaceutical drying process
Simulation of pressure swing adsorption in fuel ethanol production process
Optimizing the design of complex energy conversion systems by Branch and Cut
Optimizing process economics online using model predictive control
Developing and validating linear dynamic models for direct contact membrane distillation during start-up over wide operating conditions
Multiobjective optimization of multipurpose batch plants using superequipment class concept
Achieving higher accuracies for process simulations by implementing the new reference equation for natural gases
Online identification for batch processes in closed loop incorporating priori controller knowledge
Integrated production planning and scheduling optimization of multisite, multiproduct process industry
New continuous-time and discrete-time mathematical formulations for resource-constrained project scheduling problems
Data-driven causal inference based on a modified transfer entropy
Reactive pressure swing batch distillation by a new double column system
Large-scale optimization of nonconvex MINLP refinery scheduling
Perspectives on the potential roles of engineers in the formulation, implementation and enforcement of policies
Deep learning-based burst location with domain adaptation across different sensors in water distribution networks
A new method for solving initial value problems
RiSES 3 : Rigorous Synthesis of Energy Supply and Storage Systems via time-series relaxation and aggregation
Data-Driven Stochastic Robust Optimization: General Computational Framework and Algorithm Leveraging Machine Learning for Optimization under Uncertainty in the Big Data Era
A graph convolutional LSTM approach for modeling nonlinear chemical process networks using spatial-temporal data
Risk-based integrated production scheduling and electricity procurement for continuous power-intensive processes
Plantwide control structure selection methodology for the benchmark vinyl acetate monomer plant
Process monitoring method based on vine copula and transfer learning strategy
Graph neural networks for temperature-dependent activity coefficient prediction of solutes in ionic liquids
crystSim: A software environment for modelling industrial batch cooling crystallization
A practical scenario generation method for electricity prices on day-ahead and intraday spot markets
Price-based coordination strategy for copper smelting process
Data analytics approach for online produced fluid flow rate estimation in SAGD process
Column generation heuristics for ship routing and scheduling problems in crude oil transportation with split deliveries
An ontology for distributed process supervision of large-scale chemical plants
Modular design and implementation of a logic control system for a batch process
Air separation control technology
Solution methods for vehicle-based inventory routing problems
Design of a CO2-based synthesis gas supply chain under demand uncertainty
A new representation for modeling biomass to commodity chemicals development for chemical process industry
Fitting of kinetic parameters of NO reduction by CO in fibrous media using a genetic algorithm
Population balance modeling in Simulink: PCSS
Fault detection and diagnosis based on transfer learning for multimode chemical processes
Sustainable design and synthesis of hydrocarbon biorefinery via gasification pathway: Integrated life cycle assessment and technoeconomic analysis with multiobjective superstructure optimization
Optimal design and operation of a C3MR refrigeration system for natural gas liquefaction
Design optimization of shell and tube heat exchangers sizing with heat transfer enhancement
The development of a process simulator transport model for RO systems
A robust possibilistic programming approach for pharmaceutical supply chain network design
Logic-based outer approximation for globally optimal synthesis of process networks
Behavioral strategies evolution of stakeholders for wastewater recycling in eco-industrial parks under financial constraints
Combined simulation-optimization methodology for the design of environmental conscious absorption systems
Economic, reliability, environmental and operation factors to achieve optimal operations of multiple microgrids
A decision support grid for integrated molecular solvent design and chemical process selection
Use of genetic algorithms as an aid in modeling deep bed filtration
Reinforcement learning of adaptive online rescheduling timing and computing time allocation
A sustainable integrated model for multi-objective planning of an agri-food supply chain under uncertain parameters: A case study
An efficient numerical technique for solving multi-dimensional batch crystallization models with size independent growth rates
Deeppipe: A hybrid model for multi-product pipeline condition recognition based on process and data coupling
Multi-resolution model of an industrial hydrogen plant for plantwide operational optimization with non-uniform steam-methane reformer temperature field
Isotherm parameter library and evaluation software for CO 2 capture adsorbents
Synthesis of crystallization processes for systems involving solid solutions
Control of integrated process networks - A multi-time scale perspective
Optimization of pressure swing adsorption via a trust-region filter algorithm and equilibrium theory
Performance comparison of parameter estimation techniques for unidentifiable models
A workflow modeling system for capturing data provenance
AquoMin: A software tool for Mass-Exchange Networks targeting and design
Source localization for hazardous material release in an outdoor chemical plant via a combination of LSTM-RNN and CFD simulation
Optimization of multipurpose process plant operations: A multi-time-scale maintenance and production scheduling approach
Syntheses of sustainable supply networks with a new composite criterion - Sustainability profit
Model order reduction of nonlinear parabolic PDE systems with moving boundaries using sparse proper orthogonal decomposition: Application to hydraulic fracturing
High-definition simulation of packed-bed liquid chromatography
Optimizing scheduling of refinery operations based on piecewise linear models
State and covariance estimation of a semi-batch reactor for bioprocess applications
Dynamic metabolic modeling of lipid accumulation and citric acid production by Yarrowia lipolytica
Robust Bayesian optimization for flexibility analysis of expensive simulation-based models with rigorous uncertainty bounds
Preliminary synthesis of work exchange networks
Operating reserve policies with high wind power penetration
A Monte-Carlo based model approximation technique for linear model predictive control of nonlinear systems
An implementation variant of the polynomial finite difference method with orthogonal collocation and adjustable element length
Optimal Design of Eco-Industrial Parks with coupled energy networks addressing Complexity bottleneck through an Interdependence analysis
Designing a resilient-sustainable integrated broiler supply chain network using multiple sourcing and backup facility strategies dealing with uncertainties in a disruptive network: A real case of a chicken meat network
A systematic study of solvent effect on the crystal habit of dirithromycin solvates by computer simulation
Numerical investigation of selective withdrawal in a pancreatic cell islet encapsulation apparatus
Dynamic modelling and optimization of an LNG storage tank in a regasification terminal with semi-analytical solutions for N 2 -free LNG
"Store and retrieve" representations of dynamic systems motivated by studies in gas phase chemical kinetics
A systematic approach for synthesizing combined mass and heat exchange networks
Formulation of the excess absorption in infrared spectra by numerical decomposition for effective process monitoring
Bayesian-based on-line applicability evaluation of neural network models in modeling automotive paint spray operations
Solvent selection, sustainability analysis, technoeconomic evaluation and optimisation of batch cooling crystallisation for flurbiprofen production
Trends and perspectives in computed-aided process operations and control
Shape constrained splines as transparent black-box models for bioprocess modeling
CFD modeling of catalytic reactions in open-cell foam substrates
Transition control using a state-shared model approach
Petri-net models for comprehensive hazard analysis of MOCVD processes
A structured approach to optimizing offshore oil and gas production with uncertain models
DEXPI process: Standardizing interoperable information for process design and analysis
A new algorithm to develop hybrid systems
Global optimization algorithm for multi-period design and planning of centralized and distributed manufacturing networks
Models and computational strategies for multistage stochastic programming under endogenous and exogenous uncertainties
An object-oriented framework for modular chemical process simulation with semiconductor processing applications
Bayesian optimization with reference models: A case study in MPC for HVAC central plants
Real-time optimization using a jamming-free switching logic for gradient projection on active constraints
Orthogonal projection based statistical feature extraction for continuous process monitoring
Optimization of oxygen system scheduling in hybrid action space based on deep reinforcement learning
Real-time optimal hierarchical energy and power management system for fuel cell-battery hybrid electric vehicles
Equivalence of on-lattice stochastic chemical kinetics with the well-mixed chemical master equation in the limit of fast diffusion
A Bayesian approach to improving production planning
Hybrid Modeling in the Era of Smart Manufacturing
Confidence interval estimation under the presence of non-Gaussian random errors: Applications to uncertainty analysis of chemical processes and simulation
Real time model identification using multi-fidelity models in managed pressure drilling
Automatic initial value generation procedure for nonlinear process models by interval arithmetic based cutting and splitting
Linear hybrid models of distillation towers
Modeling of a spray-drying process for the encapsulation of high-added value extracts from food by-products
Modeling and energy reduction of multiple effect evaporator system with thermal vapor compression
Optimal procurement contract selection with price optimization under uncertainty for process networks
A parallel structure exploiting nonlinear programming algorithm for multiperiod dynamic optimization
Synergising stoichiometric modelling with artificial neural networks to predict antibody glycosylation patterns in Chinese hamster ovary cells
Modelling and dynamic optimization of thermal cracking of propane for ethylene manufacturing
Optimal utilization of natural gas pipeline storage capacity under future supply uncertainty
Improving the conventional reactor/separation/recycle DME process
Physics-informed neural networks for extrapolating press washer unit operations with heuristic physical knowledge and scarce data
Surrogate model based on hierarchical sparse polynomial interpolation for the phosphate ore dissolution
Integrating hydrodynamics and biokinetics in wastewater treatment modelling by using smoothed particle hydrodynamics
Fault detection and diagnosis with parametric uncertainty using generalized polynomial chaos
The Euler characteristic: A general topological descriptor for complex data
The online use of first-principles models in process operations: Review, current status and future needs
State transients in storage systems for energy fluids
Global minimization of power consumptions for multicomponent gas membrane cascades
Model analysis and optimization under uncertainty using thinned cubature formulae
Energy efficient design of membrane processes by use of entropy production minimization
Improving Round Trip Efficiency (RTE) in liquid air energy storage by integration with external thermal energy sources
Computer simulation of hydrogen proton exchange membrane and direct methanol fuel cells
Site wide heat integration in eco-industrial parks considering variable operating conditions
Optimal estimation of physical properties of the products of an atmospheric distillation column using support vector regression
A systematic approach to plant-wide control based on thermodynamics
Cost-optimal design and operation of hydrogen refueling stations with mechanical and electrochemical hydrogen compressors
Compact neural network modeling of nonlinear dynamical systems via the standard nonlinear operator form
The application of a task-based concept for the design of innovative industrial crystallizers
Modeling and simulation of a small-scale trickle bed reactor for sugar hydrogenation
Locating exchangers in an EIP-wide heat integration network
Parallel tools for the bifurcation analysis of large-scale chemically reactive dynamical systems
Optimization of VARICOL SMB processes using hybrid modeling and nonlinear programming
Nonlinear model predictive control for distributed parameter systems using data driven artificial neural network models
Identification of probabilistic graphical network model for root-cause diagnosis in industrial processes
Closed-loop optimal operational planning of supply chains with fast product quality dynamics
Stochastic-based accuracy of data reconciliation estimators for linear systems
Online model maintenance in real-time optimization methods
On-line outlier detection and data cleaning
Optimization of semicontinuous emulsion polymerization reactions by IDP procedure with variable time intervals
A scalable optimization framework for refinery operation and management
Constructing and maintaining proper process models
Laying the foundations: An advisor's perspective
A hierarchical approach to construct Petri nets for modeling the fault propagation mechanisms in sequential operations
Discrete-time mixed-integer programming models for short-term scheduling in multipurpose environments
Exploring nontraditional LSTM architectures for modeling demethanizer column operations
Challenges and future directions for process and product synthesis and design
Integration of operation and design of solar fuel plants: A carbon dioxide to methanol case study
Modeling and simulation of a multistage absorption hydration hybrid process using equation oriented modeling environment
Numerical solution of mixed continuous-discrete population balance models for depolymerization of branched polymers
Innovation in Chemical Reactor Engineering Practice and Science
Optimization of resource flows across the whole supply chain. Application to a case study in the dairy industry
RANS modelling and LES of a single-phase, impinging plane jet
Brownian dynamics simulation of the aggregation of submicron particles in static gas
Modelling and optimization of a moving-bed adsorptive reactor for the reverse water-gas shift reaction
A fast computational framework for the design of solvent-based plastic recycling processes
Optimal artificial neural network architecture design for modeling an industrial ethylene oxide plant
Adaptive optimisation of noisy black-box functions inherent in microscopic models
A knowledge-graph-based pharmaceutical engineering chatbot for drug discovery
Applied heat exchanger network retrofit for multi-period processes in industry: A hybrid evolutionary algorithm
Systematic coarse-graining of atomistic models for simulation of polymeric systems
ADAM: A web platform for graph-based modeling and optimization of supply chains
Corrigendum to 'Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties' [Computers and Chemical Engineering 171 (2023) 108156]
Alleviating parameter-tuning burden in reinforcement learning for large-scale process control
Corrigendum to Improved event-driven simulation method for fuel transport in a mesh-like pipeline network 'Computers & Chemical Engineering, Volume 168, December 2022'
Markup language for chemical process control and simulation
Foundations in Process Analytics and Machine Learning (FOPAM)
Application of graph theory and filter based variable selection methods in the design of a distributed data-driven monitoring system
Multiscale modeling of a tubular reactor for flow chemistry and continuous manufacturing
Robust leak detection and its localization using interval estimation for water distribution network
Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective
Adaptive soft sensor for online prediction and process monitoring based on a mixture of Gaussian process models
Optimal design of cryogenic air separation columns under uncertainty
Reprint of: Heuristics with performance guarantees for the minimum number of matches problem in heat recovery network design
A new integrated approach for solving batching, production scheduling and delivery problems in single-stage batch environments
Improving benders decomposition using maximum feasible subsystem (MFS) cut generation strategy
A simple two-dimensional method for orthogonal and nonorthogonal grid generation
JITL based MWGPR soft sensor for multi-mode process with dual-updating strategy
Projection-based robust optimization with symbolic computation
On improving the hydrogen and methanol production using an auto-thermal double-membrane reactor: Model prediction and optimisation
Novel method for looped pipeline network resolution
A multi-objective evolutionary optimization framework for a natural gas liquids recovery unit
Data-driven and physics informed modeling of Chinese Hamster Ovary cell bioreactors
Process as a battery: Electricity price aware optimal operation of zeolite crystallization in a continuous oscillatory baffled reactor
CFD analyses of complex flows
Effect of particle size distribution and packing compression on fluid permeability as predicted by lattice-Boltzmann simulations
Comparison of different extractive distillation processes for 2-methoxyethanol/toluene separation: Design and control
Operation and modeling of RO desalination process in batch mode
Global strategy for optimizing textile dyeing manufacturing process via GA-based grey nonlinear integer programming
Data-driven forward osmosis model development using multiple linear regression and artificial neural networks
Optimization-based observability analysis
A systematic generation of reactor designs: II. Non-isothermal conditions
An XML-based language for the Research & Development pipeline management problem
Plant simulation and operation optimisation of SMR plant with different adjustment methods under part-load conditions
Integrating model-based design of experiments and computer-aided solvent design
Multistage adaptive stochastic mixed integer optimization through piecewise decision rule approximation
Risk mitigation in model-based experiment design: A continuous-effort approach to optimal campaigns
Generation of operating procedures for a mixing tank with a micro genetic algorithm
Semi-supervised regression based on Representation Learning for fermentation processes
Fault detection of batch processes using multiway kernel principal component analysis
Dynamic optimization of a cryogenic air separation unit using a derivative-free optimization approach
An exploratory model-based design of experiments approach to aid parameters identification and reduce model prediction uncertainty
GMM and optimal principal components-based Bayesian method for multimode fault diagnosis
Big data approach to batch process monitoring: Simultaneous fault detection and diagnosis using nonlinear support vector machine-based feature selection
Identifying Key Drivers for a National Transition to Low Carbon Energy using Agent-based Supply Chain Models
Root cause analysis in multivariate statistical process monitoring: Integrating reconstruction-based multivariate contribution analysis with fuzzy-signed directed graphs
Global optimization of multiphase flow networks using spline surrogate models
A comparison of the performance of profile position and composition estimators for quality control in binary distillation
Optimization issues of the broke management system in papermaking
Integrated control and process design during optimal polymer grade transition operations
The one-third rule for PI controller tuning
A graph-theory-based approach to the analysis of large-scale plants
Predictive precision in battery recycling: unveiling lithium battery recycling potential through machine learning
Generic mathematical programming formulation and solution for computer-aided molecular design
System identification of steam pressure in a fire-tube boiler
"Comparison of finite difference and control volume methods for solving differential equations" by G.G. Botte, J.A. Ritter, R.E. White, 24 (2000) 2633-2654
A risk-averse two-stage stochastic programming model for the biomass supply chain planning problem
Simultaneously optimizing bidding strategy in pay-as-bid-markets and production scheduling