yusuke1997/dblp-id-title huggingface dataset:
The multi-period optimisation of an amine-based CO 2 capture process integrated with a super-critical coal-fired power station for flexible operation
A simple and unified algorithm to solve fluid phase equilibria using either the gamma-phi or the phi-phi approach for binary and ternary mixtures
Bidirectional branch and bound for controlled variable selection. Part II: Exact local method for self-optimizing control
Abnormal situation management: Challenges and opportunities in the big data era
Dynamics of viral infections: incorporating both the intracellular and extracellular levels
Numerical simulation of three-dimensional viscoelastic planar contraction flow using the software OpenFOAM
Oil production forecasting using temporal Kolmogorov-Arnold networks
Improvements in surrogate models for process synthesis. Application to water network system design
The design and scheduling of chemical batch processes: Computational complexity studies
Fitting the Sovová's supercritical fluid extraction model by means of a global optimization tool
A MINLP approach to improve heat transfer in flat plates through the optimal distribution of nanoparticles
An online operating performance evaluation approach using probabilistic fuzzy theory for chemical processes with uncertainties
An efficient constraint handling method with integrated differential evolution for numerical and engineering optimization
Computing robust control invariant sets of constrained nonlinear systems: A graph algorithm approach
Global optimization of grey-box computational systems using surrogate functions and application to highly constrained oil-field operations
Advanced control of continuous pharmaceutical manufacturing processes: A case study on the application of artificial neural network for predictive control of a CDC line
Lessons learned from HIAD 2.0: Inspection and maintenance to avoid hydrogen-induced material failures
An online application of dynamic PLS to a dearomatization process
Integrated process design, scheduling, and control using multiparametric programming
A multi-objective optimization of the integrated copper-chlorine cycle for hydrogen production
A rule-based genetic algorithm for the scheduling of single-stage multi-product batch plants with parallel units
Evaluating subgradients for convex relaxations of dynamic process models by adapting current tools
Synthesis of heat-integrated distillation sequences with mechanical vapor recompression by stochastic optimization
An effective analytical-algorithmic approach to solve diffusion-type differential equations with non-linear sources: Unbounded domains
Sensor location for nonlinear dynamic systems via observability analysis and MAX-DET optimization
Hybrid and single feedstock energy processes for liquid transportation fuels: A critical review
Optimal design of membrane processes for wastewater treatment and metal recovery
An evolutionary approach with multi stage adaptation and diversity enhancement for SOFC parameter identification
Synthesis of simultaneously heat integrated and thermally coupled nonsharp distillation sequences based on stochastic optimization
Finding a trade-off between observability and economics in the fault detection of chemical processes
Modeling and simulation of high-pressure urea synthesis loop
Systematic modelling of flow and pressure distribution in a complex tank
A semantic framework for enabling model integration for biorefining
An integrated knowledge-based approach for modelling biochemical reaction networks
Optimal production scheduling of food process industries
A chemical engineer's perspective on health and disease
Optimal molecular design of working fluids for sustainable low-temperature energy recovery
Steady state optimization with guaranteed stability of a tryptophan biosynthesis model
Simultaneous targeting and design for cooling water systems with multiple cooling water supplies
Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms
Predicting biohydrogen production from dark fermentation of organic waste biomass using multilayer perceptron artificial neural network (MLP-ANN)
Design and optimization of alcohol-ketone-hydrogen chemical heat pumps
A multi-scale energy systems engineering approach to residential combined heat and power systems
Multi-objective optimization of an industrial fluidized-bed catalytic cracking unit (FCCU) using two jumping gene adaptations of simulated annealing
Three-dimensional numerical study of heat and mass transfer in fluidized beds with spray nozzle
Integrated design and control of plantwide systems coupling exothermic and endothermic reactions
Machine-learning-based simulation and fed-batch control of cyanobacterial-phycocyanin production in Plectonema by artificial neural network and deep reinforcement learning
Data-driven plant-model mismatch detection for dynamic matrix control systems using sum-of-norms regularization
Grade transition using dynamic neural networks for an industrial high-pressure ethylene-vinyl acetate (EVA) copolymerization process
A cloud-enabled digital twin platform for upstream processing in biotechnology: Integrating CFD, compartmentalization, and reaction kinetics
Automated generation of mechanistic models for chemical process digital twins using reinforcement learning part II: Compartmentalization and learning-based recalibration
Dynamic optimization with simulated annealing
A method for the multi-objective optimization of the operation of natural gas pipeline networks considering supply reliability and operation efficiency
Glycerol ethers synthesis from glycerol etherification with tert-butyl alcohol in reactive distillation
Optimal pumping schedule design to achieve a uniform proppant concentration level in hydraulic fracturing
Application of extended DMC for nonlinear MIMO systems
Improving supply chain planning in a competitive environment
Generative transformer-based deep hierarchical VAE model for the automated generation of chemical process topologies
A Lagrangean decomposition optimization approach for long-term planning, scheduling and control
A new group contribution method for mineral concentration processes
Operating condition design with a Bayesian optimization approach for pharmaceutical intermediate batch concentration
Circulating fluidized bed combustion reactor: Computational Particle Fluid Dynamic model validation and gas feed position optimization
A novel MINLP model of front-end crude scheduling for refinery with consideration of inherent upset minimization
A quasi-analytical solution of Frost-Kalkwarf vapor pressure equation
Multi-objective superstructure optimization of a microalgae biorefinery considering economic and environmental aspects
On-line estimation in a distributed parameter bioreactor: Application to the gluconic acid production
Multiobjective decision-support tools for the choice between single-use and multi-use technologies in sterile filling of biopharmaceuticals
Nonlinear state estimation and control of a refinery debutanizer column
A risk-aware LNG terminal scheduling digital twin based on deep reinforcement learning
Novel energy saving technologies evaluation tool
A genetic algorithm approach for parameter estimation in vapour-liquid thermodynamic modelling problems
Dynamic modeling and design of a hybrid compressed air energy storage and wind turbine system for wind power fluctuation reduction
Corrigendum to "Computational studies using a novel simplical-approximation based algorithm for MINLP optimization" [Computers and Chemical Engineering 28 (2004) 1771-1780] *
Multi-model based real-time final product quality control strategy for batch processes
A novel partial differential algebraic equation (PDAE) solver: iterative space-time conservation element/solution element (CE/SE) method
An energy-efficient multi-objective optimization for flexible job-shop scheduling problem
A dynamic model for plug flow reactor state profiles
Two-dimensional model-free Q-learning-based output feedback fault-tolerant control for batch processes
A trust region framework for heat exchanger network synthesis with detailed individual heat exchanger designs
Robust simulation-optimization framework for synthesis and design of natural gas downstream Incorporating renewable hydrogen network under uncertainty
Reprint of "PSE for problem solving excellence in industrial R&D"
Robust design and operations of hydrocarbon biofuel supply chain integrating with existing petroleum refineries considering unit cost objective
Mathematical modeling and optimal design of multi-stage slug-flow crystallization
A practical approach for Generalized Predictive Control within an event-based framework
A Gibbs energy-driving force method for the optimal design of non-reactive and reactive distillation columns
A new framework and a hybrid method for one-dimensional population balance modeling of batch thermocycling crystallization
Game-theoretic modeling and optimization of multi-echelon supply chain design and operation under Stackelberg game and market equilibrium
Distributionally robust chance-constrained optimization with Gaussian mixture ambiguity set
Computational strategies for large-scale MILP transshipment models for heat exchanger network synthesis
Next-generation virtual metrology for semiconductor manufacturing: A feature-based framework
A novel data-driven leak detection and localization algorithm using the Kantorovich distance
An optimal multiple-model strategy to design a controller for nonlinear processes: A boiler-turbine unit
Sequential KDE‑guided zero-shot regression under process changes across materials
Simultaneous multistep transformer architecture for model predictive control
A time-bucket MILP formulation for optimal lot-sizing and scheduling of real-world chemical batch plants
A comparative study of deep and shallow predictive techniques for hot metal temperature prediction in blast furnace ironmaking
Approximation of closed-loop prediction for dynamic real-time optimization calculations
Modeling and simulation of a novel chemical process for clean hydrogen and power generation
Optimal design and operation of cooling water pumping systems
Optimal design of ionic liquids for thermal energy storage
Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization
Microkinetic insights into the impact of coking in dry reforming of methane
Nonsmooth differential-algebraic equations in chemical engineering
Zsolt Fonyo: (1943-2005)
Optimized energy use through systematic short-term management of industrial waste incineration
MINLP-based integrated modeling and multi-period optimization of mass-energy coupled FCC-steam systems with carbon-cost-oriented economic objective
Population balance modeling of unstirred cooling crystallization on an integrated belt filter
A chance constrained approach for a gas processing plant with uncertain feed conditions
Energy-aware enterprise-wide optimization and clean energy in the industrial gas industry
Physics-informed neural networks with hard nonlinear equality and inequality constraints
Computational methodologies for genome evolution and functional association
Optimal design of a cooperated energy storage system to balance intermittent renewable energy and fluctuating demands of hydrogen and oxygen in refineries
Point-based standard optimization with life cycle assessment for product design
Reinforcement-Learning designs droplet microfluidic networks
Simultaneous digital twin identification and signal-noise decomposition through modified generalized sparse identification of nonlinear dynamics
Interactive evolutionary computation in process engineering
Numerical evaluation of the stability of stationary points of index-2 differential-algebraic equations: Applications to reactive flash and reactive distillation systems
Actuation of spatially-varying boundary conditions for reduction of concentration polarisation in reverse osmosis channels
A combined heuristic and indicator-based methodology for design of sustainable chemical process plants
Crude oil price prediction: A comparison between AdaBoost-LSTM and AdaBoost-GRU for improving forecasting performance
Novel formulations of flexibility index and design centering for design space definition
Expansion development planning of thermocracking-based bitumen upgrading plant under uncertainty
Design of modular electrolysis and modular high-efficiency fuel cell systems for green hydrogen production and power generation with low emission of carbon dioxide
System identification and model-based control for distributed parameter systems
A novel zone-based machine learning approach for the prediction of the performance of industrial flares
A center-cut algorithm for quickly obtaining feasible solutions and solving convex MINLP problems
Feedback control of surface roughness of GaAs (0 0 1) thin films using kinetic Monte Carlo models
Modeling and simulation of heat and mass transfer during drying of solids with hemispherical shell geometry
Computational fluid dynamics modeling of aerosol particle transport through lung airway mucosa
Multi-period Carbon Capture, Utilization, and Storage (CCUS) infrastructure design and planning under uncertainty
High-order approximation of chromatographic models using a nodal discontinuous Galerkin approach
DMC controller design for an integrated Allam cycle and air separation plant
Simultaneous design of ionic liquid entrainers and energy efficient azeotropic separation processes
Modelling the effect of temperature on the gel-filtration chromatographic protein separation
Improved efficiency in sensitivity calculations for bioreactor models
The incorporation of qualitative knowledge in hybrid modeling
Parameter estimation in continuous-time dynamic models using principal differential analysis
A mixed-integer dynamic optimization approach for the optimal planning of distributed biorefineries
Low-order empirical modeling of distributed parameter systems using temporal and spatial eigenfunctions
Design space determination and process optimization in at-scale continuous twin screw wet granulation
Holistic process control framework for smart biomanufacturing: A deep learning driven approach
Controlled exploration of state space in off-line ADP and its application to stochastic shortest path problems
Computer-aided molecular refrigerant design for adsorption chillers based on classical density functional theory and PC-SAFT
A general spatio-temporal model of energy systems with a detailed account of transport and storage
A Bayesian inference based two-stage support vector regression framework for soft sensor development in batch bioprocesses
Integrated scheduling of the drying process in a sawmill
Detail or uncertainty? Applying global sensitivity analysis to strike a balance in energy system models
Agile process systems engineering education: What to teach, and how to teach
Simultaneous synthesis of heat exchanger networks with operability considerations: Flexibility and controllability
Production scheduling for the reconfigurable modular pharmaceutical manufacturing processes
Continuous prediction technique for fast determination of cyclic steady state in simulated moving bed process
Comprehensive Pareto Efficiency in robust counterpart optimization
Process flowsheet optimization of chemicals production from biomass derived glucose solutions
Implementing discrete element method for large-scale simulation of particles on multiple GPUs
Mixed-integer nonlinear programming models for optimal design of reliable chemical plants
Two stage stochastic bilevel programming model of a pre-established timberlands supply chain with biorefinery investment interests
Chemical supply chain network optimization
A perturbed Port-Hamiltonian approach for the stabilization of homogeneous reaction systems via the control of vessel extents
Process control using finite Markov chains with iterative clustering
Fermentable sugars from Eucalyptus globulus: Process optimization
Separation of the propane propylene mixture with high recovery by a dual PSA process
Disjunctive modeling for optimal control of hybrid systems
Introducing mechanistic kinetics to the Lagrangian Gibbs energy calculation
A testbed for studying the interactions between human operators and advanced control systems
A discrete-time scheduling model for continuous power-intensive process networks with various power contracts
Fast, easy-to-use, machine learning-developed models of prediction of flash point, heat of combustion, and lower and upper flammability limits for inherently safer design
Optimal control and CFD modeling for heat flux estimation of a baking process
A simplified economic model predictive control for a gas lifted oil production network based on modifier adaptation
Integrated modeling to capture the interaction of physiology and fluid dynamics in biopharmaceutical bioreactors
Optimal design of intensified processes for DME synthesis
Integreted strategic and tactical optimization planning of biomass to bioethanol supply chains coupled with operational plan using vehicle routing: A case study in Ethiopia
Development of a heuristic methodology for precise sensor network design
On sectional techniques for the solution of the breakage equation
Multi-objective optimization involving cost and control properties in reactive distillation processes to produce diphenyl carbonate
Environmental and economic multi-objective optimisation of synthetic fuels production via an integrated methodology based on process simulation
Heat exchanger network design of large-scale industrial site with layout inspired constraints
A mixed-integer conic programming formulation for computing the flexibility index under multivariate gaussian uncertainty
Sparse-identification-based model predictive control of nonlinear two-time-scale processes
Operational optimization of crude oil distillation systems using artificial neural networks
Quality assessment support system and its use in pharmaceutical plant operations
Physiologically-based pharmacokinetic model for predicting blood and tissue tetrahydrocannabinol concentrations
Dynamic analysis and linear model predictive control for operational flexibility of post-combustion CO 2 capture processes
Identification of MIMO Wiener-type Koopman models for data-driven model reduction using deep learning
MILP reformulation and extension of multi-echelon inventory optimization model based on the guaranteed service approach
Optimal operation: Scheduling, advanced control and their integration
Two-stage transfer learning-based nonparametric system identification with Gaussian process regression
Modeling the toxicity of ionic liquids based on deep learning method
Modeling and sensitivity analysis of styrene monomer production process and investigation of catalyst behavior
Graph-theoretic approach to the catalytic-pathway identification of methanol decomposition
Economic trade-offs in acrylic acid reactor design
A cutting plane method for solving linear generalized disjunctive programming problems
Extended adaptive predictive controller with robust filter to enhance blood glucose regulation in type I diabetic subjects
Concentration and temperature profiles in a fixed bed column based on an analytical solution of the axial dispersion model for binary and multicomponent non-isothermal adsorption processes
Dynamic optimization of multiple-zone air impingement drying processes
A tighter continuous time formulation for the cyclic scheduling of a mixed plant
Optimal robust optimization approximation for chance constrained optimization problem
State estimation of wastewater treatment plants based on model approximation
Maintenance in the downstream petroleum industry: A review on methodology and implementation
Improved stiction compensation in pneumatic control valves
Viscoelastic fluid analysis in internal and in free surface flows using the software OpenFOAM
Nonlinear ill-posed problem analysis in model-based parameter estimation and experimental design
Taking advantage of order consolidation in simultaneous batching and scheduling of multiproduct batch plants
Modelling and simulation of suspension polymerization of vinyl chloride via population balance model
Multi-objective biopharma capacity planning under uncertainty using a flexible genetic algorithm approach
Implication of dynamics in signal transduction and targeted disruption analyses of signaling networks
Distributed parameter model for pH process including distributed continuous and discrete reactant feed
Information-theoretic sensor planning for large-scale production surveillance via deep reinforcement learning
A probabilistic deep learning approach for thermal and exergy forecasting in organic Rankine cycles
The design of optimal mixtures from atom groups using Generalized Disjunctive Programming
Development of a new model for multiple effect evaporator system
Advances in surrogate based modeling, feasibility analysis, and optimization: A review
Modeling and solving real-time scheduling problems by stochastic integer programming
Optimal operation of a natural gas sweetening plant
Multi-objectives, multi-period optimization of district energy systems: I. Selection of typical operating periods
A grand model for chemical product design
Development of approximate scheduling-adaptive controllers for multi-products continuous chemical processes using deep learning techniques and model predictive control
MPC as control strategy for pasta drying processes
Modeling of the maleic anhydride circulating fluidized bed reactor
An agent-based approach for supply chain retrofitting under uncertainty
Integrated scheduling and control in discrete-time with dynamic parameters and constraints
An analytical approach to identify fluid flow separation and re-attachment in a collapsible channel
Recent advances and challenges in optimization models for expansion planning of power systems and reliability optimization
Uncertainty management via online scheduling for optimal short-term operation of cascaded hydropower systems
Solvent design for crystallization of carboxylic acids
Economic properties of multi-product supply chains
Effect of reactor configuration on performance of vacuum gas oil (VGO) hydrotreater: Modelling studies
Statistical process control based on Multivariate Image Analysis: A new proposal for monitoring and defect detection
A discretized model for tracer population balance equation: Improved accuracy and convergence
Real-time multivariate statistical monitoring of biopharmaceutical processes with no prior product-specific history
Control strategies for complex chemical processes. Applications in polymerization processes
Modeling and multi-objective optimization of the digestion tank of an industrial process for manufacturing phosphoric acid by wet process
GAMS supported optimization and predictability study of a multi-objective adsorption process with conflicting regions of optimal operating conditions
Optimization-based strategies for the operation of low-density polyethylene tubular reactors: nonlinear model predictive control
Hybrid semi-supervised fault detection framework under limited high-confidence data scenarios
Three dimensional modelling of methane ignition in a reverse flow catalytic converter
A computational molecular design framework for crosslinked polymer networks
From process integration to process intensification
NMPC using Pontryagin's Minimum Principle-Application to a two-phase semi-batch hydroformylation reactor under uncertainty
Accident prevention by control system reconfiguration
Optimal placement of imperfect water quality sensors in water distribution networks
Comparison of some well-known PID tuning formulas
Application and comparison of derivative-free optimization algorithms to control and optimize free radical polymerization simulated using the kinetic Monte Carlo method
Multiple response optimization of styrene-butadiene rubber emulsion polymerization
On the impact of sensor maintenance policies on stochastic-based accuracy
Eco-innovative design method for process engineering
Data driven performance monitoring and retuning using PID controllers
Mathematical modeling for simultaneous design of plants and supply chain in the batch process industry
Automatic initial value generation with interval arithmetic for nonlinear process models