Search Results - "Sel, Davorka"

Sequential finite element model of tissue electropermeabilization by Sel, D., Cukjati, D., Batiuskaite, D., Slivnik, T., Mir, L.M., Miklavcic, D.

“…Permeabilization, when observed on a tissue level, is a dynamic process resulting from changes in membrane permeability when exposing biological cells to…”
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Feasibility of Employing Model-Based Optimization of Pulse Amplitude and Electrode Distance for Effective Tumor Electropermeabilization by Sel, Davorka, Lebar, Alenka Maek, Miklavcic, Damijan

“…In electrochemotherapy (ECT) electropermeabilization, parameters (pulse amplitude, electrode setup) need to be customized in order to expose the whole tumor to…”
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Non invasive contact electrodes for in vivo localized cutaneous electropulsation and associated drug and nucleic acid delivery by Mazères, Serge, Sel, Davorka, Golzio, Muriel, Pucihar, Gorazd, Tamzali, Youssef, Miklavcic, Damijan, Teissié, Justin

“…For an effective tissue controlled electropermeabilization as requested for electrochemotherapy and electrogenotherapy, it is very important to have…”
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Finite-element modeling of needle electrodes in tissue from the perspective of frequent model computation by Sel, D., Mazeres, S., Teissie, J., Miklavcic, D.

“…Information about electric field distribution in tissue is very important for effective electropermeabilization. In heterogeneous tissues with complex…”
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Incorporating prior knowledge into artificial neural networks—an industrial case study by Milanič, Srečko, Strmčnik, Stanko, Šel, Davorka, Hvala, Nadja, Karba, Rihard

“…A case study is presented in which an artificial neural network (ANN) model is developed for use in the model-based optimisation of an industrial batch…”
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Experimental testing of flexible recipe control based on a hybrid model by Šel, Davorka, Hvala, Nadja, Strmčnik, Stanko, Milanič, Srečko, Šuk-Lubej, Boža

“…Flexible recipe control is aimed at improving the performance of batch processes by changing the recipe parameters. Compensation is effected with the aid of…”
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Applying artificial neural network models to control a time variant chemical plant by MILANIC, S, SEL, D, HVALA, N, STRMCNIK, S, KARBA, R

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Applying artificial neural network models to control a time variant chemical plant by Milanicˇ, Srecˇko, Sˇel, Davorka, Hvala, Nadja, Strmcˇnik, Stanko, Karba, Rihard

“…Control of an industrial hydrolysis batch process using a model-based control strategy is described. For this purpose, non-linear artificial neural network…”
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