yusuke1997/dblp-id-title huggingface dataset:
Automata-based operating procedure for abnormal situation management in batch processes
Design of inter-plant water network with central and decentralized water mains
A knowledge-driven approach for process supervision in chemical plants
Novel continuous-time formulations for scheduling multi-stage batch plants with identical parallel units
Global flowsheet optimization for reductive dimethoxymethane production using data-driven thermodynamic models
Modeling and simulation of a hybrid system of trickle bed reactor and multistage reverse osmosis process for the removal of phenol from wastewater
Synchronizing process variables in time for industrial process monitoring and control
A machine learning-fueled modelfluid for flowsheet optimization
Reactive scheduling framework based on domain knowledge and constraint programming
Introducing approximate well dynamics into production optimization for operations scheduling
Hybrid semi-parametric modeling in process systems engineering: Past, present and future
Mathematical analysis of bioethanol production through continuous reactor with a settling unit
The use of modeling in spray drying of emulsions and suspensions accelerates formulation and process development
Optimizing arsenic removal in water supply: A mathematical approach for plant location, technology selection, and network synthesis
Stochastic back-off-based robust process design for continuous crystallization of ibuprofen
Automated characterization and monitoring of material shape using Riemannian geometry
An online method for detection and reduction of chattering alarms due to oscillation
Comparisons of solving a chromatographic separation problem using MINLP methods
Control of grade transitions in distributed chemical reactor networks - An agent-based approach
Application of rolling horizon optimization to an integrated solid-oxide fuel cell and compressed air energy storage plant for zero-emissions peaking power under uncertainty
CFD phenomenological model of solid-liquid mixing in stirred vessels
A data enhancement method based on generative adversarial network for small sample-size with soft sensor application
Development of extrinsic functions for optimal synthesis and design - Application to distillation-based separation processes
Multi-objective optimization and algorithm improvement on thermal coupling of SOFC-GT-ORC integrated system
A control chart-based symbolic conditional transfer entropy method for root cause analysis of process disturbances
Robust sensor network design for fault diagnosis
Unit-specific event-based continuous-time approach for short-term scheduling of batch plants using RTN framework
Early detection and diagnosis of thermal runaway reactions using model-based approaches in batch reactors
Integrating renewables into multi-period heat exchanger network synthesis considering economics and environmental impact
Process plant layout optimization considering domino effects and safety devices in a large-scale chemical plant
Set-based fault diagnosis for uncertain nonlinear systems
Recipe formal definition language for operating procedures synthesis
A switched system approach for the direct solution of singular optimal control problems
Stochastic NMPC/DRTO of batch operations: Batch-to-batch dynamic identification of the optimal description of model uncertainty
Waste-to-energy technology selection: A multi-criteria optimisation approach
Dynamic modeling and experimental validation of essential oils fractionation: Application for the production of phenylpropanoids
Superstructure-based design and operation for biomass utilization networks
Latent variable projections of sensitivity data for experimental screening and kinetic modeling
Impact of tactical and operational policies in the selection of a new product portfolio
Large-scale dynamic simulation for security assessment of an ethylene oxide manufacturing process
Synchronous and asynchronous decision making strategies in supply chains
Optimization of methanol synthesis under forced periodic operation in a non-isothermal fixed-bed reactor
Forecasting heterogeneous municipal solid waste generation via Bayesian-optimised neural network with ensemble learning for improved generalisation
Multiscale modeling of a free-radical emulsion polymerization process: Numerical approximation by the Finite Element Method
Advancing machine learning in Industry 4.0: Benchmark framework for rare-event prediction in chemical processes
Modeling and design of transdermal drug delivery patches containing an external heating device
Corrosion effect on inspection and replacement planning for a refinery plant
Erratum to "Dynamic optimization of batch processes I. Characterization of the nominal solution": [Computers and Chemical Engineering 27 (2003) 1-26]
Data-driven robust optimization for pipeline scheduling under flow rate uncertainty
Water and thermal management in PEM fuel cells using feasible humidity plots and model predictive controllers
A new unified model to simulate columns with multiple phase divisions and their impact on energy savings
A modeling strategy for integrated batch process development based on mixed-logic dynamic optimization
Sustainable solutions by integrating process synthesis-intensification
Dynamic modelling, simulation and theoretical performance analysis of Volatile Organic Compound (VOC) abatement systems in the pharma industry
Tensor slow feature analysis and its applications for batch process monitoring
EVATool: A novel software for aiding in operational decision-making of evaporation plants in kraft pulp mills
Development of a multi-leader multi-follower game to design industrial symbioses
Accounting robustly for instantaneous chemical equilibriums in reactive transport: A numerical method and its application to liquid-liquid extraction modeling
Incremental upgrading sensor placement methodology: Application to the leak localization in water networks
Language-oriented rule-based reaction network generation and analysis: Description of RING
Process structure change detection by eigenvalue-based method
Fairer benchmark of group contribution and machine learning models for property prediction: A new data splitting strategy
Separation of butanol from acetone-butanol-ethanol fermentation by a hybrid extraction-distillation process
The road less traveled by
Quantifying polymer structural component evolution using X-ray scattering and mixed-integer network component analysis
Design and control of transesterification reactive distillation with thermal coupling
An integrated mathematical programming approach for the design and optimisation of offshore fields
Designing a sustainable disruption-oriented supply chain under joint pricing and resiliency considerations: A case study
An ontological framework for automated regulatory compliance in pharmaceutical manufacturing
Algebraic surrogate-based flexibility analysis of process units with complicating process constraints
MINLP model and two-stage algorithm for the simultaneous synthesis of heat exchanger networks, utility systems and heat recovery cycles
Global self-optimizing control with active-set changes: A polynomial chaos approach
Integrated safety stock management for multi-stage supply chains under production capacity constraints
Bayesian estimation of parametric uncertainties, quantification and reduction using optimal design of experiments for CO 2 adsorption on amine sorbents
Utilization of Hydrogen Pentoxide and Hydrogen Peroxide in transportation sector: A comprehensive assessment study
Thermodynamic analysis of formulations to discriminate multiple roots of cubic equations of state in process models
Planning strategies in the energy sector: Integrating bayesian neural networks and uncertainty quantification in scenario analysis & optimization
A bilevel data-driven framework for robust optimization under uncertainty - applied to fluid catalytic cracking unit
Integrating routing and scheduling for pipeless plants in different layouts
Optimal sustainable water-Energy storage strategies for off-grid systems in low-income communities
Lyapunov-based distributed reinforcement learning control with stability guarantee
Improving profitability of continuous processes facing raw material variability through data-driven SMB-PLS model-based adaptive control
Data rectification for multiple operating modes: A MAP framework
An ontological approach towards enabling processing technologies participation in industrial symbiosis
A bi-criteria optimization model to analyze the impacts of electric vehicles on costs and emissions
Constrained dynamic programming of mixed-integer linear problems by multi-parametric programming
Reduced order models for dynamic molecular weight distribution in polymerization processes
Kullback-Leibler divergence based sensor placement in linear processes for efficient data reconciliation
Real-time optimization meets Bayesian optimization and derivative-free optimization: A tale of modifier adaptation
Simultaneous design of discrete-time inverse response predictor control systems
A mixed integer programming approach for scheduling commodities in a pipeline
Adaptive predictive control of bioprocesses with constraint-based modeling and estimation
Development of a machine learning-based soft sensor for an oil refinery's distillation column
Optimal heat exchanger network synthesis by sequential splitting of process streams
Data-driven crude oil scheduling optimization with a distributionally robust joint chance constraint under multiple uncertainties
Erratum to "A finite procedure difference for solving coupled, nonlinear elliptic partial differential equations": [Computers and Chemical Engineering 11 (5) (1987) 543-546]
A block-algebra approach to the solution of Σ i (a i / λ-c i ) equations
Universal learning network and its application for nonlinear system with long time delay
A novel approach for steelmaking scheduling with self-generation under real-time and demand charge tariffs
A new moment analysis method to estimate the characteristic parameters in chromatographic general rate model
Steady-state real-time optimization using transient measurements
An extended Tennessee Eastman simulation dataset for fault-detection and decision support systems
Real-time management of the waterflooding process using proxy reservoir modeling and data fusion theory
Supply chain design and planning for the carpet industry considering recycling processes
An inexact interior point method for optimization of differential algebraic systems
A flexible and robust modelling framework for multi-stream heat exchangers
Applying a dual extended Kalman filter for the nonlinear state and parameter estimations of a continuous stirred tank reactor
Multi-objective optimization of an industrial hydrogen plant consisting of a CO 2 absorber using DGA and a methanator
Forecasting and Early Warning System for Wastewater Treatment Plant Sensors Using Multitask and LSTM Neural Networks: A Simulated and Real-World Case Study
A common approach to the computation of coarse-scale steady states and to consistent initialization on a slow manifold
Operational planning of forward and reverse logistic activities on multi-echelon supply-chain networks
Novel soft sensor method for detecting completion of transition in industrial polymer processes
Multiobjective scheduling for semiconductor manufacturing plants
Managing demand uncertainty in supply chain planning
Sensitivity analysis and optimization to reduce dry weight and footprint of FPSO processing plants in a high CO 2 oil field
Safe model-based design of experiments using Gaussian processes
Variants to a knapsack decomposition heuristic for solving R&D pipeline management problems
A novel MILP-based objective reduction method for multi-objective optimization: Application to environmental problems
An engine oil closed-loop supply chain design considering collection risk
Optimal management of logistic activities in multi-site environments
Simultaneous data reconciliation and joint bias and leak estimation based on support vector regression
Multi-objective optimization with convex quadratic cost functions: A multi-parametric programming approach
Sample-efficient reinforcement learning of Koopman eNMPC
A combined canonical variate analysis and Fisher discriminant analysis (CVA-FDA) approach for fault diagnosis
Systematic approach for modeling reaction networks involving equilibrium and kinetically-limited reaction steps
A benchmark simulator for quality-by-design and quality-by-control studies in continuous pharmaceutical manufacturing ‒ Intensified filtration-drying of crystallization slurries
Optimum installation of economizer, air heater, and flue gas dryer in biomass boiler
An analytical method for diseases prediction using machine learning techniques
Predictive control with multiobjective optimization: Application to a sludge drying operation
Ensemble transfer learning assisted soft sensor for distributed output inference in chemical processes
A simulation-based model studying monoethanolamine and aprotic heterocyclic anion ionic liquid (AHA-IL) mixtures for carbon capture
A robust batch-to-batch optimization framework for pharmaceutical applications
A consistent momentum interpolation method for steady and unsteady multiphase flows
Special issue on "Control of networked and complex process systems"
A multi-model repository with manipulation and analysis tools
First-principles models and sensitivity analysis for the lignocellulosic biomass-to-methanol conversion process
Circadian rhythm: A natural, robust, multi-scale control system
Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations
Numerical solution of population balance equations for nucleation, growth and aggregation processes
CFD and experimental studies on the effect of valve weight on performance of a valve tray column
A multi-scale model for low-density lipoprotein cholesterol (LDL-C) regulation in the human body: Application to quantitative systems pharmacology
Iterative peptide synthesis in membrane cascades: Untangling operational decisions
Modular modeling of electrochemical reactors: Comparison of CO 2 -electolyzers
Integrating information, financial, and material flows in a chemical supply chain
Process PLS: Incorporating substantive knowledge into the predictive modelling of multiblock, multistep, multidimensional and multicollinear process data
Mathematical modeling and simulation for gas-liquid reactors
Framework for produced water discharge management with flow-weighted mean concentration based economic model predictive control
On the design of online production scheduling algorithms
Continuous-time Hammerstein and Wiener modeling under second-order static nonlinearity for periodic process signals
Fast nonlinear model predictive control: Formulation and industrial process applications
Improving scenario decomposition algorithms for robust nonlinear model predictive control
Dynamic modeling and optimization of a coal-fired utility boiler to forecast and minimize NOx and CO emissions simultaneously
Modeling, dynamics and control of process networks with high energy throughput
Algal biofuel supply chain network design with variable demand under alternative fuel price uncertainty: A case study
The effect of off-cut recycle on the optimum design and operation of binary batch distillation with fixed product demand
Integrated optimal reliable design, production, and maintenance planning for multipurpose process plants
Artificial neural network methods for the estimation of zeolite molar compositions that form from different reaction mixtures
COBALT: COnstrained Bayesian optimizAtion of computationaLly expensive grey-box models exploiting derivaTive information
A reduced dimension branch-and-bound algorithm for molecular design
A novel optimization method to automated wet-etch station scheduling in semiconductor manufacturing systems
Computer-aided molecular design using Tabu search
Simulation and optimization of a novel moving belt adsorber concept for the direct air capture of carbon dioxide
Analytical solution of isothermal semi-batch reactor with proceeding irreversible second-order reaction of Class II: A + B → PROD
Fast genetic algorithm approaches to solving discrete-time mixed integer linear programming problems of capacity planning and scheduling of biopharmaceutical manufacture
Using product driven process synthesis in the biorefinery
Transfer learning for end-product quality prediction of batch processes using domain-adaption joint-Y PLS
Curricular and pedagogical challenges for enhanced graduate attributes in CAPE
A robust moving horizon estimation under unknown distributions of process or measurement noises
A visualization method for operating optimization
A multistage stochastic programming approach for renewable ammonia supply chain network design
Aspects concerning the use of biosensors for process control: experimental and simulation investigations
Synthesis and optimisation of an integrated water and membrane network framework with multiple electrodialysis regenerators
State estimation concept for a nonlinear melting/solidification problem of a latent heat thermal energy storage
Development and economic assessment of different WWTP control strategies for optimal simultaneous removal of carbon, nitrogen and phosphorus
Investigation and optimization of a new hybrid natural gas reforming system for cascaded hydrogen, ammonia and methanol synthesis
Stochastic dynamic predictions using Gaussian process models for nanoparticle synthesis
Automated drop detection using image analysis for online particle size monitoring in multiphase systems
Power-to-X processes based on PEM water electrolyzers: A review of process integration and flexible operation
On the design of renewable-based utility plants using time series clustering
Modeling framework and computational algorithm for hedging against uncertainty in sustainable supply chain design using functional-unit-based life cycle optimization
On the equivalence between the modifier-adaptation and trust-region frameworks
Sustainable process design & analysis of hybrid separations
Representation of a small-scale nozzle for gas-liquid injections into a fluidized bed on a large-scale grid
A Nested Schur decomposition approach for multiperiod optimization of chemical processes
Optimal integrated energy systems design incorporating variable renewable energy sources
A hybrid time MILP model for the pump scheduling of multi-product pipelines based on the rigorous description of the pipeline hydraulic loss changes
Handling noisy data in sparse model identification using subsampling and co-teaching
Optimising heat exchanger network synthesis using convexity properties of the logarithmic mean temperature difference
Automatic derivation of qualitative plant simulation models from legacy piping and instrumentation diagrams
Steady-state design of thermally coupled reactive distillation process for the synthesis of diphenyl carbonate
Planning and scheduling of steel plates production. Part II: Scheduling of continuous casting
A combined first-principles and data-driven approach to model building
L-TKAN:A fast and accurate Laplacian radial basis function-Based Temporal Kolmogorov-Arnold Network for state of charge estimation of lithium-ion batteries
On the nonlinear dynamics of biomass throated tubular gasification reactors
Design and operation of micro-chemical plants - bridging the gap between nano, micro and macro technologies
Mining of graphics for information and knowledge retrieval
Data-driven parameterization and development of mechanistic cell cultivation models in monoclonal antibody production processes: Shifts in cell metabolic behavior
Computers and chemical engineering: Best paper of 2004
Efficient multi-product multi-BOM batch scheduling for a petrochemical blending plant with a shared pipeline network
Enhanced data envelopment analysis for sustainability assessment: A novel methodology and application to electricity technologies
Model predictive control for combined cycles integrated with CO2 capture plants
Optimal scheduling of continuous plants with energy constraints
Process synthesis prospective
Corrigendum to "New rigorous one-step MILP formulation for heat exchanger network synthesis" [Computers & Chemical Engineering 29 (2005) 1945-1976]
Optimizing control based on output feedback
Errata: Heat exchanger network cleaning scheduling: From optimal control to mixed-integer decision making
Hidden representations in deep neural networks: Part 1. Classification problems
Process systems engineering studies for the synthesis of catalytic biomass-to-fuels strategies
A management system for dynamic and interorganizational design processes in chemical engineering
Metabolic network modelling: Including stochastic effects
Multisite facility network integration design and coordination: An application to the refining industry
OntoCAPE - A (re)usable ontology for computer-aided process engineering
Reinforcement learning approach to autonomous PID tuning
Superstructure optimization with rigorous models via an exact reformulation
Computing fuzzy trajectories for nonlinear dynamic systems
A particle scale model for municipal solid waste and refuse-derived fuels pyrolysis
The water energy food nexus: A multi-objective optimization tool
Design and in silico evaluation of an intraperitoneal-subcutaneous (IP-SC) artificial pancreas
A comparison of optimal control and stochastic programming from a formulation and computation perspective
Design of a hybrid mechanistic/Gaussian process model to predict full-scale wastewater treatment plant effluent
Dynamic response to process disturbances - A comparison between TMB/SMB models in transient regime
A general deep hybrid model for bioreactor systems: Combining first principles with deep neural networks
Piecewise affine model identification and predictive control for ultra-supercritical circulating fluidized bed boiler unit
Automatic decomposition of large-scale industrial processes for distributed MPC on the Shell-Yokogawa Platform for Advanced Control and Estimation (PACE)
Implementing NLP in industrial process modeling: Addressing categorical variables
A transhipment model for the optimisation of steam levels of total site utility system for multiperiod operation
Simultaneous optimization of design and operation of an air-cooled geothermal ORC under consideration of multiple operating points
Automated outlier detection and estimation of missing data
A robust monitoring tool for distributed parameter plug flow reactors
Numerical investigation of the crystallization and orientation behavior in polymer processing with a two-phase model
A cell population balance model describing positive feedback loop expression dynamics
A novel method to compute the time dependence of state distributions in the stochastic kinetic description of an autocatalytic system
Energy optimization of hydrogen production from lignocellulosic biomass
A theoretical framework for detecting signal transfer routes in signalling networks
Model-predictive energy management system for thermal batch production processes using online load prediction
New rigorous one-step MILP formulation for heat exchanger network synthesis
Bayesian optimization for quick determination of operating variables of simulated moving bed chromatography
Pattern reconciliation: A new approach involving constrained clustering of time series
Analysis of time-varying cause-effect relations based on qualitative trends and change amplitudes
A systematic simulation-based process intensification method for shale gas processing and NGLs recovery process systems under uncertain feedstock compositions
A comparative study of continuous-time models for scheduling of crude oil operations in inland refineries
A strategy for the integration of production planning and reactive scheduling in the optimization of a hydrogen supply network
Integrating different fidelity models for process optimization: A case of equilibrium and rate-based extractive distillation using ionic liquids
Synthesis of multipass heat exchanger networks based on pinch technology
Development of a deep learning-based group contribution framework for targeted design of ionic liquids
Generalized predictive control applied to a pH neutralization process