Inferential monitoring and optimization of crude separation units via hybrid models. - Vladimir Mahalec; Yoel Sanchez (Comput. Chem. Eng., 2012)

Identification of probabilistic graphical network model for root-cause diagnosis in industrial processes. - Junichi Mori; Vladimir Mahalec; Jie Yu 011 (Comput. Chem. Eng., 2014)

Planning and scheduling of steel plates production. Part I: Estimation of production times via hybrid Bayesian networks for large domain of discrete variables. - Junichi Mori; Vladimir Mahalec (Comput. Chem. Eng., 2015)

Reconfiguration of satellite orbit for cooperative observation using variable-size multi-objective differential evolution. - Yingguo Chen; Vladimir Mahalec; Yingwu Chen 001; Xiaolu Liu; Renjie He; Kai Sun (Eur. J. Oper. Res., 2015)

Inventory pinch gasoline blend scheduling algorithm combining discrete- and continuous-time models. - Pedro A. Castillo-Castillo; Vladimir Mahalec (Comput. Chem. Eng., 2016)

Improved continuous-time model for gasoline blend scheduling. - Pedro A. Castillo-Castillo; Vladimir Mahalec (Comput. Chem. Eng., 2016)

Inference in hybrid Bayesian networks with large discrete and continuous domains. - Junichi Mori; Vladimir Mahalec (Expert Syst. Appl., 2016)

Planning and scheduling of steel plates production. Part II: Scheduling of continuous casting. - Junichi Mori; Vladimir Mahalec (Comput. Chem. Eng., 2017)

Globally optimal dynamic real time optimization without model mismatch between optimization and control layer. - Xiaoqiang Wang; Vladimir Mahalec; Feng Qian 004 (Comput. Chem. Eng., 2017)

NOPT site: An online workbench for modeling and optimization of diverse networks. - Junaid Aziz; Vladimir Mahalec (ICACS, 2018)

Supply-demand pinch based methodology for multi-period planning under uncertainty in components qualities with application to gasoline blend planning. - Mahir Jalanko; Vladimir Mahalec (Comput. Chem. Eng., 2018)

Global optimization of MIQCPs with dynamic piecewise relaxations. - Pedro A. Castillo-Castillo; Pedro M. Castro; Vladimir Mahalec (J. Glob. Optim., 2018)

Adaptive system identification of industrial ethylene splitter: A comparison of subspace identification and artificial neural networks. - Mahir Jalanko; Yoel Sanchez; Vladimir Mahalec; Prashant Mhaskar (Comput. Chem. Eng., 2021)

Flooding and offset-free nonlinear model predictive control of a high-purity industrial ethylene splitter using a hybrid model. - Mahir Jalanko; Yoel Sanchez; Prashant Mhaskar; Vladimir Mahalec (Comput. Chem. Eng., 2021)

Refinery production planning optimization under crude oil quality uncertainty. - Fupei Li; Feng Qian 004; Wenli Du; Minglei Yang 004; Jian Long; Vladimir Mahalec (Comput. Chem. Eng., 2021)

Automatic determining optimal parameters in multi-kernel collaborative fuzzy clustering based on dimension constraint. - Dayu Tan; Xin Peng 003; Qiang Wang 043; Weimin Zhong; Vladimir Mahalec (Neurocomputing, 2021)

A Circular Target Feature Detection Framework Based on DCNN for Industrial Applications. - Dayu Tan; Linggang Chen; Chao Jiang; Weimin Zhong; Wenli Du; Feng Qian 004; Vladimir Mahalec (IEEE Trans. Ind. Informatics, 2021)

Accurate and Fast Deep Evolutionary Networks Structured Representation Through Activating and Freezing Dense Networks. - Dayu Tan; Weimin Zhong; Xin Peng 003; Qiang Wang 043; Vladimir Mahalec (IEEE Trans. Cogn. Dev. Syst., 2022)

Linear hybrid models of distillation towers. - Carlos Rodriguez; Prashant Mhaskar; Vladimir Mahalec (Comput. Chem. Eng., 2023)

Data-driven models of crude distillation units for production planning and for operations monitoring. - Jiannan Zhu; Chen Fan; Minglei Yang 004; Feng Qian 004; Vladimir Mahalec (Comput. Chem. Eng., 2023)

Environmental impacts of optimal designs of community energy systems under different CO2 footprints of electric grids. - Ruonan Li; Sayyed Faridoddin Afzali; Vladimir Mahalec (Comput. Chem. Eng., 2023)

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). - Vladimir Mahalec (CoRR, 2024)

Deep Adaptive Fuzzy Clustering for Evolutionary Unsupervised Representation Learning. - Dayu Tan; Zheng Huang; Xin Peng 003; Weimin Zhong; Vladimir Mahalec (IEEE Trans. Neural Networks Learn. Syst., 2024)