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ORCIDVladimir Mahalec
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2020 – today
- 2024
[j21]Dayu Tan
, Zheng Huang, Xin Peng, Weimin Zhong, Vladimir Mahalec:
Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6103-6117 (2024)- [i3]Vladimir Mahalec:
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 abs/2408.15415 (2024) - [i2]Enrique Luna Villagomez, Vladimir Mahalec:
Fault Detection and Identification via Monitoring Modules Based on Clusters of Interacting Measurements. CoRR abs/2409.11444 (2024) - 2023
- [j20]Carlos Rodriguez, Prashant Mhaskar, Vladimir Mahalec:
Linear hybrid models of distillation towers. Comput. Chem. Eng. 171: 108160 (2023) - [j19]Jiannan Zhu, Chen Fan, Minglei Yang, Feng Qian, Vladimir Mahalec:
Data-driven models of crude distillation units for production planning and for operations monitoring. Comput. Chem. Eng. 177: 108322 (2023) - [j18]Ruonan Li, Sayyed Faridoddin Afzali, Vladimir Mahalec:
Environmental impacts of optimal designs of community energy systems under different CO2 footprints of electric grids. Comput. Chem. Eng. 178: 108389 (2023) - 2022
- [j17]Dayu Tan, Weimin Zhong, Xin Peng, Qiang Wang, Vladimir Mahalec:
Accurate and Fast Deep Evolutionary Networks Structured Representation Through Activating and Freezing Dense Networks. IEEE Trans. Cogn. Dev. Syst. 14(1): 102-115 (2022) - 2021
- [j16]Mahir Jalanko, Yoel Sanchez, Vladimir Mahalec, Prashant Mhaskar:
Adaptive system identification of industrial ethylene splitter: A comparison of subspace identification and artificial neural networks. Comput. Chem. Eng. 147: 107240 (2021) - [j15]Fupei Li, Feng Qian, Wenli Du, Minglei Yang, Jian Long, Vladimir Mahalec:
Refinery production planning optimization under crude oil quality uncertainty. Comput. Chem. Eng. 151: 107361 (2021) - [j14]Mahir Jalanko, Yoel Sanchez, Prashant Mhaskar, Vladimir Mahalec:
Flooding and offset-free nonlinear model predictive control of a high-purity industrial ethylene splitter using a hybrid model. Comput. Chem. Eng. 155: 107514 (2021) - [j13]Dayu Tan, Xin Peng, Qiang Wang, Weimin Zhong, Vladimir Mahalec:
Automatic determining optimal parameters in multi-kernel collaborative fuzzy clustering based on dimension constraint. Neurocomputing 443: 58-74 (2021) - [j12]Dayu Tan, Linggang Chen, Chao Jiang, Weimin Zhong, Wenli Du, Feng Qian, Vladimir Mahalec:
A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications. IEEE Trans. Ind. Informatics 17(5): 3303-3313 (2021) - [i1]Dayu Tan, Zheng Huang, Xin Peng, Weimin Zhong, Vladimir Mahalec:
Deep adaptive fuzzy clustering for evolutionary unsupervised representation learning. CoRR abs/2103.17086 (2021)
2010 – 2019
- 2018
- [j11]Mahir Jalanko, Vladimir Mahalec:
Supply-demand pinch based methodology for multi-period planning under uncertainty in components qualities with application to gasoline blend planning. Comput. Chem. Eng. 119: 425-438 (2018) - [j10]Pedro A. Castillo-Castillo, Pedro M. Castro, Vladimir Mahalec:
Global optimization of MIQCPs with dynamic piecewise relaxations. J. Glob. Optim. 71(4): 691-716 (2018) - [c1]Junaid Aziz, Vladimir Mahalec:
NOPT site: An online workbench for modeling and optimization of diverse networks. ICACS 2018: 1-5 - 2017
- [j9]Junichi Mori, Vladimir Mahalec:
Planning and scheduling of steel plates production. Part II: Scheduling of continuous casting. Comput. Chem. Eng. 101: 312-325 (2017) - [j8]Xiaoqiang Wang, Vladimir Mahalec, Feng Qian:
Globally optimal dynamic real time optimization without model mismatch between optimization and control layer. Comput. Chem. Eng. 104: 64-75 (2017) - 2016
- [j7]Pedro A. Castillo-Castillo, Vladimir Mahalec:
Inventory pinch gasoline blend scheduling algorithm combining discrete- and continuous-time models. Comput. Chem. Eng. 84: 611-626 (2016) - [j6]Pedro A. Castillo-Castillo, Vladimir Mahalec:
Improved continuous-time model for gasoline blend scheduling. Comput. Chem. Eng. 84: 627-646 (2016) - [j5]Junichi Mori, Vladimir Mahalec:
Inference in hybrid Bayesian networks with large discrete and continuous domains. Expert Syst. Appl. 49: 1-19 (2016) - 2015
- [j4]Junichi Mori, Vladimir Mahalec:
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. 79: 113-134 (2015) - [j3]Yingguo Chen, Vladimir Mahalec, Yingwu Chen, Xiaolu Liu, Renjie He, Kai Sun:
Reconfiguration of satellite orbit for cooperative observation using variable-size multi-objective differential evolution. Eur. J. Oper. Res. 242(1): 10-20 (2015) - 2014
- [j2]Junichi Mori, Vladimir Mahalec, Jie Yu:
Identification of probabilistic graphical network model for root-cause diagnosis in industrial processes. Comput. Chem. Eng. 71: 171-209 (2014) - 2012
- [j1]Vladimir Mahalec, Yoel Sanchez:
Inferential monitoring and optimization of crude separation units via hybrid models. Comput. Chem. Eng. 45: 15-26 (2012)
Coauthor Index
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