Vladimir Mahalec
Orcid: 0000-0001-8342-9707
  According to our database1,
  Vladimir Mahalec
  authored at least 27 papers
  between 2012 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
  2025
Comparative Evaluation of Kolmogorov-Arnold Autoencoders and Orthogonal Autoencoders for Fault Detection with Varying Training Set Sizes.
    
  
    CoRR, August, 2025
    
  
A semi-supervised learning algorithm for high and low-frequency variable imbalances in industrial data.
    
  
    Comput. Chem. Eng., 2025
    
  
    Comput. Chem. Eng., 2025
    
  
  2024
Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning.
    
  
    IEEE Trans. Neural Networks Learn. Syst., May, 2024
    
  
Fault Detection and Identification via Monitoring Modules Based on Clusters of Interacting Measurements.
    
  
    CoRR, 2024
    
  
Hybrid Plant Models Call for a Different Plant Modelling Paradigm and a New Generation of Software (Heresy in the land of moles, fractions, & rigorous physical properties).
    
  
    CoRR, 2024
    
  
  2023
Environmental impacts of optimal designs of community energy systems under different CO<sub>2</sub> footprints of electric grids.
    
  
    Comput. Chem. Eng., October, 2023
    
  
Data-driven models of crude distillation units for production planning and for operations monitoring.
    
  
    Comput. Chem. Eng., September, 2023
    
  
  2022
Accurate and Fast Deep Evolutionary Networks Structured Representation Through Activating and Freezing Dense Networks.
    
  
    IEEE Trans. Cogn. Dev. Syst., 2022
    
  
  2021
A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications.
    
  
    IEEE Trans. Ind. Informatics, 2021
    
  
Automatic determining optimal parameters in multi-kernel collaborative fuzzy clustering based on dimension constraint.
    
  
    Neurocomputing, 2021
    
  
    Comput. Chem. Eng., 2021
    
  
Flooding and offset-free nonlinear model predictive control of a high-purity industrial ethylene splitter using a hybrid model.
    
  
    Comput. Chem. Eng., 2021
    
  
Adaptive system identification of industrial ethylene splitter: A comparison of subspace identification and artificial neural networks.
    
  
    Comput. Chem. Eng., 2021
    
  
  2018
    J. Glob. Optim., 2018
    
  
Supply-demand pinch based methodology for multi-period planning under uncertainty in components qualities with application to gasoline blend planning.
    
  
    Comput. Chem. Eng., 2018
    
  
    Proceedings of the International Conference on Advancements in Computational Sciences, 2018
    
  
  2017
Globally optimal dynamic real time optimization without model mismatch between optimization and control layer.
    
  
    Comput. Chem. Eng., 2017
    
  
Planning and scheduling of steel plates production. Part II: Scheduling of continuous casting.
    
  
    Comput. Chem. Eng., 2017
    
  
  2016
    Expert Syst. Appl., 2016
    
  
    Comput. Chem. Eng., 2016
    
  
Inventory pinch gasoline blend scheduling algorithm combining discrete- and continuous-time models.
    
  
    Comput. Chem. Eng., 2016
    
  
  2015
Reconfiguration of satellite orbit for cooperative observation using variable-size multi-objective differential evolution.
    
  
    Eur. J. Oper. Res., 2015
    
  
Planning and scheduling of steel plates production. Part I: Estimation of production times via hybrid Bayesian networks for large domain of discrete variables.
    
  
    Comput. Chem. Eng., 2015
    
  
  2014
Identification of probabilistic graphical network model for root-cause diagnosis in industrial processes.
    
  
    Comput. Chem. Eng., 2014
    
  
  2012
    Comput. Chem. Eng., 2012