yusuke1997/dblp-id-title huggingface dataset:
Barrier NLP methods with structured regularization for optimization of degenerate optimization problems
Distributed input observers to integrate satellite data with 3-D atmospheric models
How to tighten a commonly used MINLP superstructure formulation for simultaneous heat exchanger network synthesis
D-RM Builder: A software tool for generating fast and accurate nonlinear dynamic reduced models from high-fidelity models
Language-oriented rule-based reaction network generation and analysis: Applications of RING
Improving extrapolation capabilities of a data-driven prediction model for control of an air separation unit
Multiple and nonuniform time grids in discrete-time MIP models for chemical production scheduling
Bayesian-optimized Gaussian process-based fault classification in industrial processes
Kinetics of sorption in deactivated zeolite crystal adsorbents
Identification of diffusive transport by means of an incremental approach
Improvement of principal component analysis modeling for plasma etch processes through discrete wavelet transform and automatic variable selection
An adjoined multi-model approach for monitoring batch and transient operations
Flow pattern recognition in tray columns with MADM (multiple attribute decision making) method
Strategic investment planning for the hydrogen economy - A mixed integer non-linear framework for the development and capacity expansion of hydrogen supply chain networks
A novel tool for the modeling, simulation and costing of membrane based gas separation processes using Aspen HYSYS: Optimization of the CO 2 /CH 4 separation process
An algorithm for optimal waste heat recovery from chemical processes
Optimal design of chemical processes with chance constraints
Estimation of aggregation kernels based on Laurent polynomial approximation
Computer-aided molecular design using the Signature molecular descriptor: Application to solvent selection
A digital twin framework for online optimization of supply chain business processes
Hybrid modelling of chemical processes: a unified framework based on deductive, inductive, and abductive inference
On ReLU neural networks as piecewise linear surrogate models
Integrated reactor staging and plant optimization of a Biomass-To-Liquid technology
Applications of the Dulmage-Mendelsohn decomposition for debugging nonlinear optimization problems
A novel time discretization method for solving complex multi-energy system design and operation problems with high penetration of renewable energy
SPREAD - Exploring the decision space in energy systems synthesis
Optimal production planning under time-sensitive electricity prices for continuous power-intensive processes
Model on transport phenomena and control of rod growth uniformity in siemens CVD reactor
Supply chain design with time-limited transportation contracts
Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems
Direct learning of improved control policies from historical plant data
Optimal design of sustainable chemical processes and supply chains: A review
Approximate nonlinear model predictive control with in situ adaptive tabulation
New a priori and a posteriori probabilistic bounds for robust counterpart optimization: II. A priori bounds for known symmetric and asymmetric probability distributions
A digital twin simulator of a pastillation process with applications to automatic control based on computer vision
Multi-system shale gas supply chain planning with development and resource arrangements
Integrating product portfolio design and supply chain design for the forest biorefinery
A framework for model-based optimization of bioprocesses under uncertainty: Lignocellulosic ethanol production case
Computational analysis of transitional air flow through packed columns of spheres using the finite volume technique
Stable distributed MPC with zone control and input targets
Toward circular economy for pomegranate fruit supply chain under dynamic uncertainty: A case study
Ontological informatics infrastructure for pharmaceutical product development and manufacturing
Explicit model predictive control of gas-liquid separation plant via orthogonal search tree partitioning
Strategic and tactical mathematical programming models within the crude oil supply chain context - A review
Design of an energy-efficient side-stream extractive distillation system
Multiscale molecular modeling in nanostructured material design and process system engineering
Discrete particle simulation of gas-solid flow in a blast furnace
Modifier adaptation with guaranteed feasibility in the presence of gradient uncertainty
A genetic algorithm based approach to intelligent modelling and control of pH in reactors
Predictive control of a gas-liquid separation plant based on a Gaussian process model
Optimizing inventory policies in process networks under uncertainty
A method to evaluate the feasibility of TMB chromatography for reduced efficiency and purity requirements based on discrete optimization
A cheminformatics-based methodology to incorporate safety considerations during accelerated process development
Measure this, not that: Optimizing the cost and model-based information content of measurements
Relay based PI-PD design for stable and unstable FOPDT processes
Considering nucleation, breakage and aggregation in morphological population balance models for crystallization processes
Performance degradation prediction of PEMFC based on harris hawks optimization and bidirectional gated recurrent units
An integrated model of supply network and production planning for multiple fuel products of multi-site refineries
IDEAS based synthesis of minimum volume reactor networks featuring residence time density/distribution models
Extracting nonstationary features for process data analytics and application in fouling detection
Derivative-free optimization of combinatorial problems - A case study in colorectal cancer screening
Design of robust control strategy in drug and virus scheduling in nonlinear process of chemovirotherapy
A process design approach to manage the uncertainty of industrial flaring during abnormal operations
A robust distributed model predictive control based on a dual-mode approach
Chromatographic studies of n-Propyl Propionate: Adsorption equilibrium, modelling and uncertainties determination
Two-dimensional recursive least squares identification based on local polynomial modeling for batch processes
Scheduling the cleaning actions for a fouled heat exchanger subject to ageing: MINLP formulation
Multi-objective scenario optimization of the food supply chain - Slovenian case study
The finite differences method for solving systems on irregular shapes
A deep reinforcement learning approach for chemical production scheduling
Reaction mechanism reduction and optimisation for modelling aviation fuel oxidation using standard and hybrid genetic algorithms
Simultaneous simulation and optimization of multiple dividing wall columns
A combined variational encoding and optimization framework for design of the water-energy-food nexus
A startup model for simulation of batch distillation starting from a cold state
Harnessing graph neural networks to craft fragrances based on consumer feedback
A new method for sizing mass exchange units without the singularity of the Kremser equation
Assessment of the parameter identifiability of population balance models for air jet mills
Barrier-function-based distributed predictive control for operational safety of nonlinear processes
Computational approaches to kinetic model selection
A novel unsupervised approach for batch process monitoring using deep learning
Dynamic kriging based fault detection and diagnosis approach for nonlinear noisy dynamic processes
Bayesian optimization of gray-box process models using a modified upper confidence bound acquisition function
The cell average technique for solving multi-dimensional aggregation population balance equations
MILP based value backups in partially observed Markov decision processes (POMDPs) with very large or continuous action and observation spaces
A methodology for direct exploitation of available information in the online model-based redesign of experiments
Feature space monitoring for smart manufacturing via statistics pattern analysis
Impacts of equipment off-design characteristics on the optimal design and operation of combined cooling, heating and power systems
A scale-variable attention transformer for industrial process fault diagnosis
A model-based optimization of microalgal cultivation strategies for lipid production under photoautotrophic condition
Design and control of entrainer-assisted reactive distillation for N-propyl propionate production
Implementing land-use and ecosystem service effects into an integrated bioenergy value chain optimisation framework
Adaptive multi-model predictive control applied to continuous stirred tank reactor
Data-driven contextual robust optimization based on support vector clustering
Relaxations of thermodynamic property and costing models in process engineering
Dual dynamic programming for multi-scale mixed-integer MPC
Global optimization of batch and steady-state recycling chromatography based on the equilibrium model
On the computation of extents of reaction with a limited number of measurements
Mixed integer polynomial programming
Digital design of crystallization processes using statistical machine learning
Development of neurocontrollers with evolutionary reinforcement learning
The future of supply chain - a perspective from the process and online retail industries
Topology-informed derivative-free metaheuristic optimization method
Multimodal learning with missing modality for chemical process system
Scenario-based dynamic negotiation for the coordination of multi-enterprise supply chains under uncertainty
Inventory and delivery optimization under seasonal demand in the supply chain
Control of photoresist film thickness: Iterative feedback tuning approach
Process systems opportunities in power generation, storage and distribution
Process fault diagnosis via the integrated use of graphical lasso and Markov random fields learning & inference
Semi-batch reactor control with NMPC avoiding thermal runaway
Integrated optimization of crude oil procurement planning and blending scheduling for property stabilization
Micro-buckling of paper during blade metering
An ontological knowledge-based system for the selection of process monitoring and analysis tools
Optimal multi-scale capacity planning for power-intensive continuous processes under time-sensitive electricity prices and demand uncertainty. Part I: Modeling
Heuristics with performance guarantees for the minimum number of matches problem in heat recovery network design
Computational modeling of megakaryocytic differentiation of umbilical cord blood-derived stem/progenitor cells
Variographic analysis: A new methodology for quality assurance of pharmaceutical blending processes
Resource intensities of chemical industry sectors in the United States via input-output network models
Design of a multi-model observer-based estimator for anaerobic reactor monitoring
A thermo-hydraulic approach to conceptual design of an internally heat-integrated distillation column (i-HIDiC)
Design of multi-parametric NCO tracking controllers for linear dynamic systems
Differential-Algebraic numerical approach to the one-dimensional Drift-Flux Model applied to a multicomponent hydrocarbon two-phase flow
Scheduling multistage batch plants with parallel units and no interstage storage
A partial multiparametric optimization strategy to improve the computational performance of model predictive control
Fault diagnosis with automata generated languages
Multi-parametric mixed integer linear programming under global uncertainty
The effect of model simplification assumptions on the differential index of lumped process models
Development of algorithms for augmenting and replacing conventional process control using reinforcement learning
Part II. Future perspective on optimization
Prediction of the full molecular weight distribution in RAFT polymerization using probability generating functions
ChromaTech: A discontinuous Galerkin spectral element simulator for preparative liquid chromatography
In silico study of the microalgae-bacteria symbiotic system in a stagnant pond
LAMOS: A linear algorithm to identify the origin of multiple optimal flux distributions in metabolic networks
An ontological approach to chemical engineering curriculum development
Combined property clustering and GC + techniques for process and product design
Virtual sample generation for soft-sensing in small sample scenarios using glow-embedded variational autoencoder
Synthesis of distillation configurations: I. Characteristics of a good search space
Resilient biofuel supply chain network design under disruption risk and uncertainty considering parameter dependency: Iran case study
A Light Attention-Mixed-Base Deep Learning Architecture toward Process Multivariable Modeling and Knowledge Discovery
Erratum to "Optimization of multipurpose process plant operations: A multi-time-scale maintenance and production scheduling approach" [Comput. Chem. Eng., 99 (2017) 325-339]
Improved continuous-time model for gasoline blend scheduling
Techno-economic analysis and life cycle assessment of a novel algae-based CCUS technology
A multi-period model for optimal planning of an integrated, resource-efficient rice mill
Distributing Chemical Reactions between Cell Populations: Exemplar Studies
Impact of plant dynamics on the performance of steady-state data reconciliation
Flow regimes in T-shaped micro-mixers
Robustifying optimal experiment design for nonlinear, dynamic (bio)chemical systems
Systematic design of active constraint switching using selectors
Automatic generation of global phase equilibrium diagrams for binary systems from equations of state
Real-time update of data-driven reduced and full order models with applications
Simulation of magnetic suspensions for HGMS using CFD, FEM and DEM modeling
Evaluating and ranking patents with multiple criteria: How many criteria are required to find the most promising patents?
Simulation study on biodiesel production by reactive distillation with methanol at high pressure and temperature: Impact on costs and pollutant emissions
The development of a maximum likelihood model for model-based applications
A hybrid Kalman filter and physics-informed neural network approach for leakage detection and localization in heat exchanger networks
A novel approach to scheduling of zero-wait batch processes under processing time variations
Continuous reformulations of discrete-continuous optimization problems
Integrated optimization of design, storage sizing, and maintenance policy as a Markov decision process considering varying failure rates
Data-driven derivative-free trust-region model-based method for resource allocation problems
Strategic planning for sustainable electric system operations: Integrating renewables and energy storage
A simple and practical process modeling methodology for pressure swing adsorption
Extended method of moment for general population balance models including size dependent growth rate, aggregation and breakage kernels
Soft sensing modeling based on support vector machine and Bayesian model selection
Temperature and density evolution during compaction of a capsule shaped tablet
Improved reliability in diagnosing faults using multivariate statistics
Recursive constant control policy algorithm for attainable regions analysis
Computational fluid dynamics modeling of a discrete feed atomic layer deposition reactor: Application to reactor design and operation
Reduced super-structure for a separation network comprising separators effected by different methods of separation
A model predictive control strategy for supply chain optimization
Optimal scheduling and its Lyapunov stability for advanced load-following energy plants with CO 2 capture
Analysing the impact of stakeholder relationships in the optimisation of biomass supply chains
Optimization of grade transitions in polyethylene solution polymerization process under uncertainty
Optimal synthesis of complex distillation columns using rigorous models
Control of complex sociotechnical systems: Importance of causal models and game theory
Mass coordinates for dynamic simulation of column operations involving dimensional changes of packing material
PROAD (Process Advisor): A health monitoring framework for centrifugal pumps
Modelling the drop coalescence at the interface of two liquids
Performance analysis of waste-to-energy technologies for sustainable energy generation in integrated supply chains
Modeling of hydrogen liquefaction process parameters using advanced artificial intelligence technique
Machine learning model and optimization of a PSA unit for methane-nitrogen separation
Genetic algorithm to estimate interaction parameters of multicomponent systems for liquid-liquid equilibria
Steady-state multiplicity analysis of two-stage-riser catalytic pyrolysis processes
An optimal control approach to steam distillation of essential oils from aromatic plants
Computer aided formulation design based on molecular dynamics simulation: Detergents with fragrance
Second-order cone optimization of the gradostat
A grid view on the dynamics of processes participating in demand response programs
Optimal robust scheduling of energy-water nexus system using robust optimization technique
Multi-objective optimization of methanol production for energy efficiency and environmental sustainability
A toolbox using the stochastic optimization algorithm MIPT and ChemCAD for the systematic process retrofit of complex chemical processes
Control structure design of an industrial crude terephthalic acid hydropurification process with catalyst deactivation
Dynamic modelling of a rotary kiln for calcination of titanium dioxide white pigment
Classification and estimation of unmeasured process variables in crude oil pre-heat trains subject to fouling deposition
An enhanced pseudo-binary-mixture (PBM) algorithm for multistage separation processes
A novel cost-effective silica membrane-based process for helium extraction from natural gas
Smart process analytics for the end-to-end batch manufacturing of monoclonal antibodies
Surrogate-based optimization of capture chromatography platforms for the improvement of computational efficiency
Automatic generation of interlock designs using genetic algorithms
Multivariable model predictive control of a catalytic reverse flow reactor
Design of batch operations: Systematic methodology for generation and analysis of sustainable alternatives
Sensitivity-Assisted multistage nonlinear model predictive control: Robustness, stability and computational efficiency
A stochastic game theoretic framework for decentralized optimization of multi-stakeholder supply chains under uncertainty
Approaches for efficient stiction compensation in process control valves
Macroscopic modelling of baker's yeast production in fed-batch cultures and its link with trehalose production
Multi-objective optimization and comparison of the entrainer-assisted pressure-swing distillation and extractive distillation separation sequences for separating a pressure-insensitive binary azeotrope
A parallel function evaluation approach for solution to large-scale equation-oriented models
Smoothed particle hydrodynamics - A new approach for modeling flow in oscillatory baffled reactors
Refinery planning optimization based on smart predict-then-optimize method under exogenous price uncertainty
Rectification of plant measurements using a statistical framework
Polyhedral results for discrete-time production planning MIP formulations for continuous processes
Combining machine learning and process engineering physics towards enhanced accuracy and explainability of data-driven models
Operability and biomimetic control of a micro-aerated fermentation process
A Process Systems Engineering approach towards responsive and sustainable (bio-)pharmaceutical supply chains
Towards energy-efficient LNG terminals: Modeling and simulation of reciprocating compressors
Prediction of the mutual diffusion coefficient for controlled drug delivery devices
Computational design of thermostable mutants for cephalosporin C acylase from Pseudomonas strain SE83
From prompt design to iterative generation: Leveraging LLMs in PSE applications
Multi-rate data-driven models for lactic acid fermentation - Parameter identification and prediction
Production scheduling of a large-scale industrial continuous plant: Short-term and medium-term scheduling
Fault detection based on augmented kernel Mahalanobis distance for nonlinear dynamic processes
Optimization of structural and operational variables for the energy efficiency of a divided wall distillation column
Multi-technology separation system synthesis
Numerical analysis of the global identifiability of reaction-diffusion systems
Piecewise linear approximation for MILP leveraging piecewise convexity to improve performance
Optimisation of LNG mixed-refrigerant processes considering operation and design objectives
Downstream oil supply chain management: A critical review and future directions
A simple numerical solution to the Ward-Tordai equation for the adsorption of non-ionic surfactants
H-matrix methods for quadratic integral operators appearing in population balances
A branch-and-bound algorithm for the solution of chemical production scheduling MIP models using parallel computing
Integrating smart manufacturing techniques into undergraduate education: A case study with heat exchanger
A survey of optimal process design capabilities and practices in the chemical and petrochemical industries
Feature variance regularization method for autoencoder-based one-class classification
Thermodynamic analysis of the driving force approach: Reactive systems
Particle filtering without tears: A primer for beginners
A probabilistic self-validating soft-sensor with application to wastewater treatment
Analysis and refinement of the targeted QSPR method
Variants of slow feature analysis framework for automatic detection and isolation of multiple oscillations in coupled control loops
Condition-based maintenance optimization via stochastic programming with endogenous uncertainty
Adaptive system identification of industrial ethylene splitter: A comparison of subspace identification and artificial neural networks
Computational complexity and related topics of robustness margin calculation using μ theory: A review of theoretical developments
Explicit internal signal stochastic resonance and mechanic of noise-resistance in a chemical oscillator
A MILP approach of optimal design of a sustainable combined dairy and biodiesel supply chain using dairy waste scum generated from dairy production
Dynamic modeling and simulation of a 410 t/h Pyroflow CFB boiler
Quo Vadis ChatGPT? From large language models to Large Knowledge Models
ALVEN: Algebraic learning via elastic net for static and dynamic nonlinear model identification
A functional-PCA approach for analyzing and reducing complex chemical mechanisms
The optimal retrofit of multiproduct batch plants
Transfer learning for process fault diagnosis: Knowledge transfer from simulation to physical processes
Cybersecurity in process control, operations, and supply chain
HY-POP: Hyperparameter optimization of machine learning models through parametric programming
A study of differential evolution and tabu search for benchmark, phase equilibrium and phase stability problems
Modeling and control of cell wall thickness in batch delignification
A parametric evaluation of powder flowability using a Freeman rheometer through statistical and sensitivity analysis: A discrete element method (DEM) study
Simulation of vapor flows in short path distillation
Optimal scheduling of copper concentrate operations under uncertainty
Data fusion of Raman spectra in MSPC for fault detection and diagnosis in pharmaceutical manufacturing
Automated learning of chemical reaction networks
Model-based design and analysis of glucose isomerization process operation
Optimization of the various modes of flexible operation for post-combustion CO 2 capture plant